The Private Equity Digital Transformation Show (general)

Our guests are André Quina, sales director with Plat4mation, an experienced control and automation engineer and Greg McKenzie, a commercial lead with Plat4mation with 22 years of manufacturing operational experience in food, automotive, and plastics.  André, Greg and Bruce discuss:

  • How to leverage manufacturing operators to improve efficiency and safety.
  • How WAZE-like tagging works, why it’s important and its results.
  • The different benefits of a connected worker platform versus a connected machine platform.
  • How a worker-centric maintenance solution is different from an AI maintenance solution.
  • The importance of capturing tribal knowledge.
  • Applicable use cases.
  • A brewery case study including the quantified value produced.

Related links you may find useful:

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Our guest Michel Morvan is cofounder of Cosmo Tech, a scientist, academic, entrepreneur and AI expert.  Michel and Bruce discuss:

  • Complexity defined by systems and systems of systems
  • The importance of knowing how things work for simulation
  • Why using deep neural networks is lazy, when they make sense to use and when they don’t
  • Data-based AI vs knowledge-based AI
  • The proper definition of the digital twin… for value creation
  • Different types of digital twins
  • The power of simulating simulations
  • Finding hidden value resulting from the Butterfly Effect
  • Case study quantifying the technology ROI of the simulation-based digital twin

Related links you may find useful:

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Our guest Taha Memon is the founder and CEO of Dunia and CloudiTwins. He has over 10 years of experience as an entrepreneur, speaker and as a business development consultant to startups in Pakistan and the US.  In this episode, Taha and Bruce discuss:

  • The tech behind smart contracts.
  • How to create a smart contract and if this means lawyers will soon be made obsolete.
  • The role of platforms (middleware) to deploy smart contracts.
  • The Golden Triangle: the valuable connection between smart products – smart business models – smart contracts.
  • A few interesting use cases for smart contracts.
  • The benefits, risks and minefields of smart contract deployment.
  • A real estate case study that quantifies the value and cost of smart contracts.

 

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Our guest Daniel Young is Senior Manager of Product Standards at Toshiba America and is part of Toshiba’s global Digital Innovation Team that is focused on accelerating the growth of Industrial IoT systems and developing best practices using industry standards.  In this episode, Daniel and Bruce discuss:

  • The benefits of eliminating (subjective) human judgement.
  • The unexpected but important HR benefits from improving defect inspection efficiency.
  • Applicable use cases and industries for this type of AI inspection.
  • The cost and time to implement an AI/machine learning inspection system.
  • Different tech architecture options to implement machine learning inspection within the manufacturing facility.
  • The role of inspection and AI standards.

 

Related links you may find useful:

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Solo episode with Bruce Sinclair, the host of the show, discussing the first step in smart digital diligence that’s used as a quick triage step before getting company specific to determine if a company is a good fit for smart digital transformation.  Sector, business type, maturity level and market dynamics all play into this step.  Once the theory is known, the Smart Tech Value Creation Quiz on the homepage of digitaloperatingpartners.com can be used to give any company a smart grade.  In this episode, Bruce discusses:

  • What is digital and what is smart?
  • What is a smart company and how do you create a smart company?
  • Why make a company smart in the first place?
  • Which sectors are best?
  • Which types of revenue generating businesses are best?
  • How old should a company be?
  • How dynamic should the company’s market be?

 

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Solo episode with Bruce Sinclair, the host of the show, discussing how to unlock value and potentially disrupt industries with the five core data-driven business models within the Smart Business Model Continuum.  Data-driven business models are created by transforming legacy business models with smart tech such as the internet of things and artificial intelligence.  In this episode, Bruce discusses:

  • The Product data-driven business model.
  • The Product-Service data-driven business model.
  • The Service data-driven business model.
  • The Service-Outcome data-driven business model.
  • The Outcome data-driven business model.
  • The data-driven business model as a feature.

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Solo episode with Bruce Sinclair, the host of the show, discussing data-driven business model development and its fundamental importance in smart digital transformation.  Bruce will discuss how the business models on the Smart Business Model Continuum reduce monetization friction and produce a proprietary competitive advantage.  In this episode, Bruce discusses:

  • Why business model innovation is as important or more important than product or service innovation.
  • The difference between B2C and B2B smart business models.
  • Monetization friction.
  • The Smart Business Model Continuum.

Related links you may find useful:

 

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Solo episode with Bruce Sinclair, the host of the show, discussing the confusion around what the term digital transformation means.  Bruce will dissect the term into its three tech layers and relate each to the company stage where it creates the most value.  In this episode, Bruce discusses:

  • The true meaning of digital transformation.
  • The three tech layers of digital transformation and what they are.
  • The biggest money-maker: smart digital transformation.
  • The difference between smart digital transformation and digital transformation.
  • The smart digital transformation stack.
  • The tech layer with the most impact at the three maturity stages of a company.

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Our guest Manny Bernabe is the founder and CEO of bigplasma ai – which specializes in AI for Industry 4.0 applications and connected products.  Manny has had roles ranging from data scientist at an AI unicorn start-up to investment analyst at a global financial services firm.  In this episode, Manny and Bruce discuss:

  • Various AI and stats techniques.
  • Different AI techniques to make predictions.
  • Picking the right AI models and why simple is often more important than complex.
  • The importance of “data” in data science, especially for commercialization.
  • The three steps to implementing AI within your smart product or process (Industrie 4.0)
  • A medical device case study.
  • The time and cost to deploy AI within your smart product or process.

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Our guest David Westrom is responsible for global business development at MachineMetrics and has led business development organizations and driven strategy at three IIoT start-ups that experienced successful exits, including most recently ThingWorx, that was acquired by PTC.

In this episode, Dave and Bruce discuss:

  • Digitally transforming discreet manufacturing operations to start a continuous improvement program.
  • Digital improvements for high volume/low mix versus low volume/high mix manufacturing.
  • Expanding data collection from machines to machines, people and business systems.
  • How the scope of data collection is related to the overall value generated.

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Our guest Scott Cunningham is a blockchain and cryptocurrency enthusiast who explores the ways these technologies are used and shares his thoughts with his audience across many platforms.

In this episode, Scott and Bruce discuss:

  • The different cryptocurrencies and how to live the “crypto life”.
  • How consensus models are changing to enable more efficiency in blockchain.
  • The shift from a proof of work to a proof of stake consensus model.
  • Enterprise use cases for blockchain.
  • What smart contracts are and some of the ways to use them in business.
  • Identity management with NFTs for humans and inorganic objects.
  • NFTs and the framework for thinking about using them in the physical world.

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Our guest Vipul Parekh is a Senior Director with Alvarez & Marsal Digital and Technology Services where he advises clients about investing in new and emerging technologies such as Blockchain, IoT, Robotic Process Automation, and Machine Learning.

In this episode, Vipul and Bruce discuss:

  • Evaluating the risk profile of emerging technology by considering scaling and integration needs.
  • Using data to drive technology, people and processes.
  • Data ownership and accountability best practices.
  • The digital twin and data governance systems.
  • The digital twin and master data management systems.
  • Data architecture and management differences for IoT-based data.

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Our guests Rolland Donin and Hendrik Nieweg partner on digital transformation projects.  Roland is the founder of IHRS-Training, a consultancy for agile methods and digital transformation, and Hendrik is VP of Solutions at the German IoT specialist, Device Insight, which helps companies with the development of complex IoT-based digital transformation projects.

In this episode, Rolland, Hendrik and Bruce discuss:

  • The definition of Industrie 4.0 vs IoT vs digital transformation.
  • The difference between IIoT and smart product development.
  • The relationship between IoT and digital transformation and why Bruce changed the name of his podcast.
  • The “Three As” that must be present at the beginning of every digital transformation.
  • Not falling into the gold plating trap.
  • Using the edge for data culling.
  • The two steps that precede machine learning.
  • Quantifying the value created and costs incurred in case studies about smart coffee vending machines and smart electronic components.

Related links you may find useful:

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Our guest Dr. Michael Roshak works as an Enterprise Architect for Bankers Healthcare Group - a fintech company that helped hospitals and doctors with financial services during the pandemic.  And as part of the Microsoft AI & IoT Insider Lab, Mike ran code-a-thons for Microsoft developers and from which recently wrote the book, Artificial Intelligence for IoT Cookbook.

In this episode, Mike and Bruce discuss:

  • Voice activation and privacy concerns.
  • The air gap DMZ zone used in AI security.
  • The primary importance of upfront business planning for AI success.
  • The balance of edge and cloud computing for IoT AI.
  • The concept of duty cycles and why they’re important to use as a precursor to anomaly detection and predictive maintenance.
  • Not reinventing the wheel and getting help from your cloud and silicon providers.
  • The minimum data science team required for AI success.

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Our guest Dean Rakic is the Chief Scientist at TAAL Distributed Information Technologies where he’s a Blockchain scientist.  He has over 25 years of experience in computer science – predominantly in healthcare - and 10 years of experience in Blockchain within various technology solutions.

In this episode, Dean and Bruce discuss:

  • The difference between crypto and blockchain.
  • The technical and business benefits associated with blockchain’s decentralized structure.
  • The important difference between security and trust.
  • The function of bitcoin miners.
  • The differences between private and public blockchains.
  • Why data stored in a blockchain has the power of immutability.

 

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Our guests Raymond and Michael Volpatt are brothers and co-owners of Volpatt Construction, a commercial and institutional construction company based in Pittsburgh. They are also co-founders of ShareInTech, a construction workforce optimization, building management, and asset supervision company.

In this episode, Ray, Mike and Bruce discuss:

  • How wearables, beacons and geofencing work and how they have transformed safety at the Volpatt worksites.
  • How Volpatt is “eating their own dogfood’ by using solutions by ShareinTech and how that forms a virtuous cycle.
  • How the tech was adopted by their construction workforce and lessons learned.
  • How an increase safety measures reduces the cost of labor by improving a firm’s EMR (Experience Modification Rating) which in turn reduces worker’s compensation premiums.
  • Quantifying the value created and costs incurred to implement a smart safety solution.

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Our guest Joseph Aamidor is an experienced product leader and expert in smart buildings, real estate technology and facility operations. His company provides guidance to building owners, operators, and management firms.  Before Aamidor Consulting, Joe worked for the Lucid Design Group and Johnson Controls.

In this episode, Joe and Bruce discuss:

  • How a smart building differs from building automation.
  • Why make a building smart and the value levers involved.
  • Identifying which buildings are best suited to be digitally transformed.
  • Why energy savings is the lowest hanging fruit.
  • Different ways to make a building smart.
  • A case study including the costs and the value created enabling us to calculate the return on technology investment

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Our guest, Rohit Chauhan is the Founder & CEO at Topmist, a cloud-native real-time streaming data analytics firm. He has over 25 years of experience as a technology executive, data scientist, and business consultant with deep knowledge of industry processes and value drivers.

In this episode, Rohit and Bruce discuss:

  • The tech architecture of a runtime streaming data pipeline.
  • What it really means to do analytics in “real time”.
  • The differences between doing analytics on data collected in the past versus doing analytics on data being collected in the present.
  • Use cases that are a great fit for streaming analytics.
  • Case study on Coca Cola that quantifies the value they created from using streaming analytics to make faster marketing decisions.

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Our guest, Ravi Venkatraman is the CEO and President of Hamiltonian Systems. A technologist and entrepreneur with 30 years of experience,  Ravi’s latest focus has been solving complex business problems in data management and MRO supply chains using Machine Learning and Artificial Intelligence.

In this episode, Ravi and Bruce discuss:

  • What MRO is, its five main cost centers and why it’s important.
  • Why MRO inventory management is often overlooked and the value that can be discovered there.
  • Predictive maintenance in the context of the “M” in MRO.
  • How long it takes to typically develop a useful predictive maintenance model and how considering all of MRO can improve the quality of predictive maintenance models.
  • A case study quantifying the early value of MRO inventory control can have on working capital.

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The “IoT Platform” is such an overloaded term that its meaning has been lost. Chipset manufacturers, sensor manufacturers, software vendors, consortia and system integrators all have their own definitions. But if you come at it from enough angles eventually a form takes shape and you realize it means what you want it to mean and what is important is not its definition but the context in which it’s used. In this episode of the IoT Business Show, Dr. Sean Lorenz and I go through the elusive IoT platform and why the business problem is always the place to start.

Read the rest of the show analysis notes including the transcripts at: https://www.iot-inc.com/amorphous-iot-platform-definition-podcast/

This show is brought to you by DIGITAL OPERATING PARTNERS

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After going through each of the major consortia, we are heading back to tech, but not as deep a dive as usual. Having left the edge behind, we are now moving on to the network fabric that holds everything together. In this episode of the IoT Business Show, we talk about some of the most important issues surrounding IoT Platforms today.

Read the rest of the show analysis notes including the transcripts at: https://www.iot-inc.com/iot-platform-security-sensors-analytics-podcast/

This show is brought to you by DIGITAL OPERATING PARTNERS

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How much IoT data should you keep? It’s not clear. The more data you keep, the more data transmission and storage costs you’ll incur. However thinning out your data store means throwing away potential future insights, potential answers to future questions and potential new information products to expand your business – all value generators unique to IoT products. In this episode of the IoT Business Show, I speak with Steve Stover about balancing the costs and the technology approaches to maximize your Internet of Things data value.

Read the rest of the show analysis notes including the transcripts at: https://www.iot-inc.com/iot-big-data-management-storage-podcast/

This show is brought to you by DIGITAL OPERATING PARTNERS

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The technology of the software-defined product, containing the digital twin, is the most important technology in IoT – the most important because it’s directly related to creating value. Sometimes it can get a bit confusing so in this episode of the IoT Business Show, I share with you three lessons from the ICIP Technology course. The first, a simple example to demonstrate the software-defined product and digital twin. Then, an overview lesson on standards and protocols, and finally an overview lesson on IoT analytics and big data.

Read the rest of the show analysis notes including the transcripts at: http://bit.ly/IoTPodcast97notes

Listen to this trailer with Bruce Sinclair to learn about the upcoming season of the podcast, now named, The Private Equity Digital Transformation Show.  New episodes starting February 26.

This show is brought to you by DIGITAL OPERATING PARTNERS

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OK, I admit it, this is going to be a bit of a geekfest but application protocols are an important topic to understand if you want to understand how IoT works. Protocols are the lifeblood of an IoT system and as we are about to find out, there are a few different types to choose from – each with their own characteristics and infrastructure requirements.

Read the rest of the show analysis notes including the transcripts at: https://www.iot-inc.com/top-5-internet-of-things-application-protocols-podcast/

This show is brought to you by DIGITAL OPERATING PARTNERS

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Meet IoT’s three layers of protocols… the media layer, otherwise known as the physical layer or radio, the network layer and the application layer. Important because they make up the network stack that transports data from the sensor to the cloud. Important because they are standardized. In this episode of the IoT Business show, Michael Richardson delivers a masterclass on everything you need to know about IoT’s three networking layers.

Read the rest of the show analysis notes including the transcripts at: https://www.iot-inc.com/internet-of-things-protocols-like-lego-podcast/

This show is brought to you by DIGITAL OPERATING PARTNERS

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There’s no denying it, robots are cool, even more cool when you call them cyber-physical systems, which is what they are, but they’re also IoT systems. And applying the thinking of IoT to robots makes them even cooler and more valuable because instead of being discrete systems, they can be integrated as a component of an IoT environment, working together with other components, to deliver outcomes. In this episode of the IoT Business Show, I speak with Chris Jones of iRobot about the Roomba and its place in the IoT world.

Read the rest of the show analysis notes including the transcripts at: http://bit.ly/IoTPodcast81notes

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Bruce Sinclair narrates the introduction chapter of his book, IoT Inc: How Your Company Can Use the Internet of Things to Win in the Outcome Economy. The book has 16 chapters plus a preface, the introduction chapter I read here and a conclusion chapter. If you want an overview of the 16 chapters, listen to the bonus episode two podcast episodes back.

Read the rest of the show analysis notes including the transcripts at: http://bit.ly/IoTPodcast83notes

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In broad strokes, the software required for an IoT deployment can be grouped into four classes: embedded software for sensors and gateways, networking or the IoT platform (communication, rules and sometimes interpretation) data management & analytics and of course the IoT application. In this episode of the IoT Inc Business Show, I discuss the first class, embedded software for sensors, or more specifically, sensor operating systems, with Zach Shelby and the inevitable evolution of these disparate classes into an IoT software ecosystem.

Read the rest of the show analysis notes including the transcripts at: https://www.iot-inc.com/iot-embedded-systems-to-software-ecosystems-podcast/

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In part 1 we discussed the sensor selection process and the costs involved. If you haven’t listened to the last episode, you should but it’s not a prerequisite. In part 2 of my interview with Scott Nelson, we finish talking sensor costs and move into sensor security, the untold risks when incorporating sensors and the expected evolutionary path sensor tech will take.

Read the rest of the show analysis notes including the transcripts at: https://www.iot-inc.com/internet-of-things-sensors-inside-out-part-2-podcast/

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have to admit, when the first real deployments of LPWA or Low Power Wide Area Networks were being lit up, I wasn’t all that bullish on the competition: Mobile Operators in IoT. Wrong tech with the wrong business model… Or so I thought. Fast forward a couple of years to today and those behemoths are getting their acts together. In this episode of the IoT Inc Business Show, I speak with Patrice Slupowski about the Mobile Operator approach to IoT and I have to admit… I’m impressed.

Read the rest of the show analysis notes at: http://bit.ly/IoTPodcast119notes

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There are five main IoT alliances/consortiums/groups focused on the Internet of Things and I interview them all. The Internet Protocol for Smart Object (IPSO) Alliance – episode E3 has been around for a while but the Open Interconnect Consortium (OIC) – episode 9, the Thread group, the Industrial Internet Consortium (IIC) and the Allseen Alliance have sprung up recently. Depending on your focus, one or more of these organizations and are worth looking into when starting your IoT journey. In this episode of the IoT Inc Business Show, I discuss the third organization, the Thread Group, with Skip Ashton.

Read the rest of the show analysis notes at: https://www.iot-inc.com/introducing-thread-group-iot-protocol-podcast/

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It’s a symbiotic relationship – the big corporation, in search for that innovative edge, and the small startup, in search for supportto get their ideas off the ground. Both have what the other needs –desperately. Coming together they form one type of ecosystem. To be players, all IoT companies – big and small – must be part of one ormore ecosystem. In this episode of the IoT Business Show, I speak with the folks at TechrIot about their approach of bringing IoT companies together.

Read the rest of the show analysis notes at: http://www.iot-inc.com/accelerator-as-first-internet-of-things-ecosystem-podcast/

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As the technology of IoT evolves the concept of a distributed computing environment is becoming increasingly relevant. A key component of this architecture is fog computing, blending the cloud to the edge. Being able to access computing, networking and storage resources locally makes sense for many classes of IoT deployments. In this episode of the IoT Business Show, I speak with the bigwigs of the newly formed, OpenFog Consortium.

Read the rest of the show analysis notes including the transcript: http://www.iot-inc.com/iot-fog-along-the-horizon-podcast/

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By definition, an ecosystem brings together multiple products in order to deliver an outcome. However, today’s IoT standards don’t go far enough enable different products to work together. Another layer is needed to ensure ecosystem products speak the same language. In this episode of the IoT business show, I speak with David McCall about the Open Connectivity Foundation and the codebase they provide to enable smart home products from different vendors to talk to each other – exactly what you need for any ecosystem

Read the rest of the show analysis notes at: http://bit.ly/IoTPodcast112notes

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I don’t want to be accused of being a hammer but if you think about it, IoT is the tech behind digital transformation. If your definition of IoT doesn’t include data science like mine does, then the technologies at hand are IoT and analytics and AI. Industrie four-zero addresses this tech as well as the political, environmental, corporate and academic issues that pave the way. In this episode of the IoT Business Show, I speak with Henning Banthien about the unique and effective approach Plattform Industrie 4.0 takes in digitally transforming the discrete manufacturing industry.

Read the rest of the show analysis notes at: http://bit.ly/IoTPodcast113notes

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No one company is big enough to provide an end-to-end industrial Internet of Things solution. Realizing this the Industrial Internet Consortium (IIC) was founded to bring together different solutions from different vendors to address different use cases. The end game, however, is not technology, but business – to understand what is needed to put together solutions that not only work well but sell well. I’m a big believer in ecosystems so, in this episode of the IoT Inc Business Show, I discuss the IIC with Stephen Mellor to see if this consortium is right for you.

Read the rest of the show analysis notes at: http://bit.ly/IoTPodcast111notes

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Listen to this analysis episode with Bruce Sinclair where he analyses the latest IoT news from a business perspective. In this episode, Bruce tees off from the Apple CareKit announcement to discuss why ecosystems are so important and how they differ from IoT platforms.

Read the rest of the show analysis notes at: http://bit.ly/IoTpodcast47notes

Listen to this analysis episode with Bruce Sinclair where he discusses the issues of pricing smart products and new business models that can help.

Read the rest of the show analysis notes at: http://bit.ly/IoTPodcast55notes/

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Over the years now, I’ve been involved in the development of tens of IoT initiatives with my clients and there is only one thing they all have in common… Every one of them pivoted. And I don’t mean little pivots, I mean 180-degree pivots. The lesson here is to pivot fast and pivot early otherwise there’s a good chance you’re not going to make it out of Pilot Purgatory. In this episode of the IoT Business Show, I speak with Phil Regenie about his early pivot and the lessons learn in taking his Senior care product to the pilot stage.

Read the rest of the show analysis notes at: http://bit.ly/IoTPodcast102notes

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There’s all kinds of opinions about where the value is in IoT. Well, a group that put their money where their mouths are, are investors. This is a panel discussion where I interview two VCs with similar goals but different approaches. In this episode of the IoT Business Show, I speak with Upal Basu and Jesse DeMesa about what they look for when making an Internet of Things investment.

Read the rest of the show analysis notes at: http://bit.ly/IoTPodcast78notes

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Category:general -- posted at: 12:00am PST

Listen to this episode which is a recording of the panel discussion, Show Me the Money – Creating Value from Connecting Things at KNect365’s Smart Home Summit 2016. Bruce Sinclair is the moderator and the panelists are Bob Wudeck from ilumi, Gene Han from Target, Upal Basu from Nokia Growth Partners and Jean-Pierre Abello from Nielsen.

Read the rest of the show analysis notes at: http://bit.ly/IoTPodcast70notes

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Category:general -- posted at: 12:00am PST

It’s no secret that the IIoT is enabling manufacturing to go through its next revolution. Some call it Industrie 4.0, but it goes further than the shop floor. The Industrial Internet (of Things) is virtualizing the entire manufacturing industry from supply chain to factory to distribution and along the way is having a profound effect on the workforce and the equipment used. In this episode of the IoT Business Show, I speak with Tanja Rueckert about the hot topics of connected manufacturing and asset intelligence.

Read the rest of the show analysis notes at: http://bit.ly/IoTPodcast64notes

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Direct download: new_internet_of_things_business_podcast_order89.mp3
Category:general -- posted at: 12:00am PST

IoT consumer products are more expensive than their traditional counterparts, often by an order of magnitude. Not good but makes sense – the tech needs to be financed. But however innovative the products are, higher pricing will cause a headwind. Part of the problem is consumer IoT products are still being sold with traditional product business models. In this episode of the IoT Business Show, I speak with Nate Williams about the opportunity to innovate consumer IoT business models.

Read the rest of the show analysis notes at: http://www.iot-inc.com/new-business-models-in-consumer-iot-still-solidifying-podcast

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Category:general -- posted at: 12:00am PST

Schneider has seen the IoT light and they are following it at scale. Step 1, make all products connected. Step 2, develop a platform, in this case, for the energy management and automation vertical. Step 3, create more customer value by moving from products to products and services to ultimately driving customer results. In this episode of the IoT Business Show, I speak with Prith Banerjee about the IoT playbook to be followed by all leading-edge enterprises, big and small.

Read the rest of the show analysis notes at: http://bit.ly/IoTpodcast46notes

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Direct download: new_internet_of_things_business_podcast_order86.mp3
Category:general -- posted at: 12:00am PST

The smart home or connected home makes life good. Comfortable. Reminiscent of the Jetson’s in many ways. But business models aside, today’s big question, at least for me, is if it really is a DIY (do it yourself) market as it’s currently being betrayed. Not so easy to install. Not so easy to repair, so is it better to be handled by the professionals (installers, integrators, service providers)? You can paint your house but do you want to when professionals can be hired?

Read the rest of the show analysis notes at: http://bit.ly/IoTPodcast59notes

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Direct download: new_internet_of_things_business_podcast_order85.mp3
Category:general -- posted at: 12:00am PST

If your company is collecting data, and every IoT company collects data, it needs a formal “Information SecurityProgram”. We’ve talked risk assessment in the past, that is the process of assigning liability to each potential security breach, but that’s only part of the program. In this episode of the IoT business Show, I speak with John Ansbach about the rest of the“Information Security Program”, impending regulation and privacy concerns.

Read the rest of the show analysis notes at: http://bit.ly/IoTpodcast44notes

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Category:general -- posted at: 12:00am PST

The business counterpart to IoT security risk, loosely defined as probability times liability. The current narrative around liability is centered on privacy but it turns out that laws, regulations, and cybersecurity, in general, are some of the other elements in the IoT liability matrix. In this episode of the IoT Business Show, I speak with Mark Radcliffe about the current IoT legal framework and the potential liabilities to address early on in the IoT product development cycle.

Read the rest of the show analysis notes at: http://bit.ly/IoTpodcast42notes

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Category:general -- posted at: 12:00am PST

Lose five pounds of belly fat in five days! Sound too good to be true? Yeah, it probably is and because of that, you would expect the FTC to be all over it. But instead of weight loss products, what about IoT products? What’s fair? What’s deceptive? In this episode of the IoT show, I speak with Jared Ho about the FTC’s role in IoT and some guidelines to help your company navigate through the gray.

Read the rest of the show analysis notes at: http://bit.ly/IoTPodcast77notes

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Category:general -- posted at: 12:00am PST

Security and privacy are uttered together so often that many believe they’re the same thing. They’re not. Security is a technical issue and privacy is a business issue, and furthermore, privacy is only one type of liability that should be considered when talking IoT security. In this episode of the IoT Business Show, I add a bit of sharpness to the security and privacy narrative.

Read the rest of the show analysis notes at: http://bit.ly/IoTPodcast76notes

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Direct download: internet_of_things_business_podcast_76.mp3
Category:general -- posted at: 12:00am PST

What’s the legal definition of a product? Does it cover IoT and is IoT classified a product or a service? Given our laws were never designed for the types of products being sold today, it’s not surprising that there are different interpretations of our current laws and regulations when it comes to IoT. In this episode of the IoT Business Show, I speak with Ron Quirk and Alex Schneider about the legal limbo we’re in and how the legal landscape is evolving to catch up with the times.

Read the rest of the show analysis notes at: http://bit.ly/IoTPodcast75notes

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Category:general -- posted at: 12:00am PST

When we buy an IoT Product for our home or our business, the advice is the same: read the fine print. There are plenty of technical obstacles that can be thrown in your way to stop you from having complete control over your data but sometimes the devil is in the details and these contractual details can have a major effect on your business. In this episode of the IoT Business Show, I speak with Johannes Ernst about the IoT Overloads and the upcoming data showdown.

Read the rest of the show analysis notes at: http://bit.ly/IoTPodcast72notes

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Category:general -- posted at: 12:00am PST

Repeat this mantra: Privacy by Design, Privacy by Design. Although, Security by Design is a best practice followed by IoT companies in the know, its business counterpart, related to risk, isn’t chanted nearly as often as it should be. Privacy by Design should be repeated with every second breath. In this episode of the IoT Business Show, I speak with Paul Plofchan about Privacy by Design and other privacy best practices.

Read the rest of the show analysis notes at: https://www.iot-inc.com/privacy-by-design-in-the-internet-of-things-podcast/

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Category:general -- posted at: 12:00am PST

Although an integral part of IoT security, IoT privacy doesn’t rely on technology. It relies instead on self-imposed business rules that govern the way the collected data is used within and outside of the enterprise. As with many things tech, government and law is unable to keep up with the innovation of IoT and with what some call its digital exhaust. In this episode of the IoT Business Show, I speak with privacy expert Dale Smith about the top 5 best practices in handling personally identifiable information (PII) and other IoT privacy issues.

Read the rest of the show analysis notes at: http://bit.ly/IoTpodcast31notes

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Category:general -- posted at: 12:00am PST

Before talking go to market strategy, we need to talk, go to green light strategy. For most people, internal or external, IoT is a big unknown and unknowns are scary. To get thatIoT pilot started, think small and evolutionary. In this episode of the IoT Business Show, I speak with Michael Minkevich about his experience in building IoT products and systems and the best way to get them greenlit.

Read the rest of the show analysis notes at: http://bit.ly/IoTpodcast39notes

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Category:general -- posted at: 12:00pm PST

Alright, let’s talk building an IoT product or system. Time to cycle through concept – ideation – proof of concept– prototype – MVP – product. In this episode of the IoT BusinessShow, part two of two, I speak again with Yuriy Pryadko who shares his experience in the 6-step journey to manufacturing or deployment. In part 2 we get into plenty of details and the numbers, using a fun but useful product example, this time in the consumer IoT space.

Read the rest of the show analysis notes at: http://bit.ly/IoTpodcast38notes

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Direct download: new_internet_of_things_business_podcast_order73.mp3
Category:general -- posted at: 12:00pm PST

Alright, let’s talk building an IoT product or system. Time to cycle through concept – ideation – proof of concept– prototype – MVP – product. In this episode of the IoT BusinessShow, part one of two, I speak with Yuriy Pryadko who shares practical advice on the 6-step journey to manufacturing or deployment. In part one we lay the foundation using an interesting example of an IoT system in the Fitness space, prepping us for episode 2 where we quantify the process.

Read the rest of the show analysis notes at: http://bit.ly/IoTpodcast37notes

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Direct download: new_internet_of_things_business_podcast_order72.mp3
Category:general -- posted at: 12:00pm PST

Ripping out an existing SCADA system and replacing it with an IoT deployment isn’t going to happen any time soon. Whether it’s an oil pipeline or a water processing plant, the job of the OT guys is to keep things flowin’. Although the writing is on the wall, it’s going to take a lot more than the promise of information nirvana to change existing infrastructure. In this episode of the IoT Business Show, I speak with System Integrator Joel Hutton about his experience in applying the thin edge of the wedge to get an IoT pilot going with his clients.

Read the rest of the show analysis notes at: http://bit.ly/IoTpodcast36notes

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Category:general -- posted at: 12:00pm PST

It’s one thing to be in a kickstarter–fueled startup developing your IoT product and quite another to be doing it within a structured corporate environment. Things get in the way. Priorities, personalities, politics, and executive management. The same work needs to be done but other considerations need to be taken into account. In this episode of the IoT Business Show, I speak with Jake Fields about his experience in working with IoT teams within the enterprise environment and the development steps to take to successfully make it through to the other side..

Read the rest of the show analysis notes at: http://bit.ly/IoTpodcast35notes

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Category:general -- posted at: 12:00pm PST

Because of the technology and data available, the biggest and most interesting challenge in designing an IoT product is to make it feel more like a service or experience than a piece of hardware. Only after you understand the customer and what the opportunities really are can product design begin. In this episode of the IoT Business show, I speak with Gordon Hui to get an uber designer’s perspective on how to find that ideal product experience and the business that must be developed to support it.

Read the rest of the show analysis notes at:http://www.iot-inc.com/internet-of-things-podcast-17

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Direct download: new_internet_of_things_business_podcast_order69.mp3
Category:general -- posted at: 12:00pm PST

When starting down the path toward your IoT product, it’s tempting to jump into the tech and get started with your PoC… but don’t fall into that trap. Of course, there are benefits to getting the minimally viable product out the door but these benefits don’t go away if you back up first and start with a business strategy and defined user experience – in fact, they’re accelerated when you have a clear path from the start. In this episode of the IoT Business show, I speak with Erik Ljung about the importance of starting at the top when beginning your product design process.

Read the rest of the show analysis notes at: https://www.iot-inc.com/top-down-internet-of-things-design-podcast/

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Category:general -- posted at: 12:00pm PST

Getting an IoT project off the ground isn’t easy. It’s not just about launching a new product based on new technology, it’s the changes the organization must make to reach escape velocity. In this episode of the IoT Business show, I speak with Asaf Sadowski about the importance of creating an IoT proof of concept and the steps involved to get there.

Read the rest of the show analysis notes at: http://www.iot-inc.com/internet-of-things-podcast-15

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Category:general -- posted at: 12:00pm PST

Okay, our blockchain discussion isn’t quite over yet. Let me ask the question again, is blockchain ready to transact IoT business? The answer is still a resounding “no” but let me caveat it by saying, there are newer technologies that address blockchain’s bottlenecks and deployment weaknesses. Introducing alternative DLTs – distributed ledger technologies. In this episode of the IoT business show, I speak with Ashish Mehta about the options available for those who want to incorporate blockchain-like functionality into IoT today.

Read the rest of the show analysis notes including the transcripts at: http://bit.ly/IoTPodcast96notes

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Category:general -- posted at: 12:00pm PST

Is blockchain ready to transact IoT business? That’s the question I’ve been trying to answer during this mini-series. While the quest has been intellectually interesting and frustrating at the same time, the answer is a resounding “no.” Although the tech is cool, blockchain is nowhere near ready to be used for business within the budgetable future. In this episode of the IoT business show, I speak with Rhian Lewis about the promise and challenges of transacting with blockchain, Ethereum, and cryptocurrencies in IoT.

Read the rest of the show analysis notes including the transcripts at: http://bit.ly/IoTPodcast95notes

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Category:general -- posted at: 12:00pm PST

Want to incorporate blockchain into IoT? Well, that’s a pretty tall order but you have two ways to go about it. Go it alone to build the world’s best IoT blockchain protocol and hope it’s adopted or join others that have similar goals to build the world’s best IoT blockchain protocol in hopes that it’s adopted. In this episode of the IoT Business Show, I speak with Zaki Manian about the technology and business advantages of blockchain in IoT and the approach the Trusted IoT Alliance is taking to make them a reality.

Read the rest of the show analysis notes including the transcripts at: http://bit.ly/IoTPodcast93notes

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Category:general -- posted at: 12:00pm PST

We all know, whether from experience or just intuitively, that bolting security on an IoT product after much of the development has been completed is a total rookie mistake and a recipe for disaster. Yet this still happens. By crowdfunded startups who don’t mention security in their videos, to internal teams in larger enterprises who also emphasize the bling in order to get their project greenlit from within. In this episode of the IoT Business Show, I speak with Chris Romeo about the Security Development Lifecycle, the polar opposite to the bolt-on, that’s been successfully used in IT security for years.

Read the rest of the show analysis notes including the transcripts at: http://bit.ly/IoTPodcast63notes

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Category:general -- posted at: 12:00pm PST

Blockchain. One of the few technologies more hyped than IoT. Put them together and it’s a hypefest. But is it warranted? Honestly, I don’t know but I can tell you, for me, the decision is not going to be based on if it’s cool tech, it’s going to be based on, if that cool tech contributes to making more money. In this episode of the IoT Business Show, I speak with Jessica Groopman about what blockchain is and how it fits into the Internet of Things.

Read the rest of the show analysis notes including the transcripts at: http://bit.ly/IoTPodcast92notes

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Category:general -- posted at: 12:00pm PST

Black hat, white hat… gray hat? What does it all mean? In this context, the different colored hats refer to the different approaches to testing the cyber security of your IT, or in our case, IoT infrastructure. In this episode of the IoT Show, I speak with Paul Jauregui about pen testing and other things you need to know about when working with an external security assessment firm.

Read the rest of the show analysis notes including the transcripts at: http://bit.ly/IoTPodcast56notes

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Category:general -- posted at: 12:00pm PST

The more I dig into it, the more I’m convinced that privacy is a bigger issue than security in IoT. Don’t get me wrong, the challenges facing IoT security are huge and in many cases, unchartered but, we’ll figure them out. Why? Because we’re good at figuring out tech. What’s going to be more challenging is teasing out the rules of engagement from the tangled web of IoT privacy. This involves people, companies, special interests, and the law – much more difficult and with huge business implications. In this episode of the IoT Business Show, I speak with privacy philosopher Justin Klein Keane about the challenges we face and some mental frameworks in which to consider them.

Read the rest of the show analysis notes at: http://bit.ly/IoTpodcast33notesnotes

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Category:general -- posted at: 12:00pm PST

We speak about our offensive game so much that we forget that we need good defense in business too, that is, effectively protecting the value we create. However, and I speak from experience, the shiny new things seem so much more important than the seemingly dull security and privacy. Well, when looked at from a risk perspective, security and privacy all of a sudden become the purview of the manager. In this episode of the IoT Business Show, I speak with Paul Dant about IoT risk assessment as well as security by design, threat modeling and other important topics to the manager.

Read the rest of the show analysis notes at: http://bit.ly/IoTpodcast32notes

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Category:general -- posted at: 12:30am PST

It’s difficult enough to manage network security or web security or application security or mobile security but when they all come together you have the Frankenstein-like monster called IoT security. And when they all come together you have the unique challenges of security system security too – welcome to IoT. In this episode of the IoT Business Show, I speak with Daniel Miessler about the top security risks facing IoT and how to mitigate them. This is part two of a two-part interview..

Read the rest of the show analysis notes at: http://bit.ly/IoTpodcast30notes

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Category:general -- posted at: 12:30am PST

It’s difficult enough to manage network security or web security or application security or mobile security but when they all come together you have the Frankenstein-like monster called IoT security. And when they all come together you have the unique challenges of security system security too – welcome to IoT. In this episode of the IoT Business Show, I speak with Daniel Miessler about the top security risks facing IoT and how to mitigate them. This is part one of a two-part interview..

Read the rest of the show analysis notes at: http://bit.ly/IoTpodcast29notes

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Category:general -- posted at: 12:30am PST

Building an IoT product line isn’t just for the big guys. Small and medium-sized manufacturers can transform their business into Internet of Things powerhouses by following the same IoT playbook – albeit on a smaller scale. In this episode of the IoT Business Show, I speak with Christian Shaffer about the steps his 20-person company took to unlock $2 million in recurring revenue.

Read the rest of the show analysis notes at: http://www.iot-inc.com/sme-how-to-develop-an-iot-business-around-data-podcast/

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Category:general -- posted at: 12:30am PST

AI today is getting better at learning. In fact, learning is what differentiates what we call AI from advanced analytics. Machine learning algorithms minimize an error function by autonomously and iteratively adjusting their model variables. But what’s next for AI and machine learning? In this episode of the IoT business show, I speak with James Canton, who in a meta way makes predictions about this prediction technology.

Read the rest of the show analysis notes including the transcripts at: http://bit.ly/IoTPodcast110notes

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Category:general -- posted at: 12:30am PST

Convoluted Neural Networks or CNNs are a type of AI typically used in computer vision to process images, but they are also applicable to process the time series data we typically get from sensors in IoT. In this episode of the IoT show, I speak with Simon Crosby about how these CNNs can be used to make predictions about the future and reduce the massive amounts of data we collect to just the important stuff.

Read the rest of the show analysis notes including the transcripts at: http://bit.ly/IoTPodcast109notes

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Category:general -- posted at: 12:30am PST

AI and in particular, deep learning, is a powerful tool for uncovering useful relationships within data; but once found, can’t explain what they mean. Contrast this with humans, armed with tribal knowledge and more traditional analytics, who understand the data relationships but just can’t find as many of them. In this episode of the IoT show, I speak with Drew Conway about how to find the balance between man and machine when looking for data value.

Read the rest of the show analysis notes including the transcripts at: http://bit.ly/IoTPodcast108notes

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Category:general -- posted at: 12:30am PST

If you’re like me, before I started digging into AI, it all seemed so mysterious. Not only how it worked but also how it was put to work. But when thought of as a subset of analytics things come into focus - fast. In this episode of the IoT show, I speak with Curtis Seare about the tools and frameworks used to incorporate AI into IoT projects.

Read the rest of the show analysis notes including the transcripts at: http://bit.ly/IoTPodcast107notes

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Category:general -- posted at: 12:30am PST

Through its different techniques, machine learning allows us to look deep into our IoT data, giving us the hindsight, insight, and foresight we need to transform that data into useful information, and ultimately value. But what’s the mechanism to do that? In this episode of the IoT business show, I speak with Vish Pai about the relationship between ML and the IoT platform.

Read the rest of the show analysis notes including the transcripts at: http://bit.ly/IoTPodcast106notes

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Category:general -- posted at: 12:30am PST

When talking AI in IoT what we’re really talking about is machine learning in IoT, and the one thing machine learning needs above all else is data. Lot’s and lots of data. Structured IoT data, when piped in properly can be transformed and loaded efficiently for machine learning to create beautiful, and more important, accurate models. In this episode of the IoT show, I speak with Anand Rao about the symbiotic relationship between AI and IoT.

Read the rest of the show analysis notes including the transcripts at: http://bit.ly/IoTPodcast105notes

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Category:general -- posted at: 12:00pm PST

Although AI has been around for over 60 years, it’s only been relatively recently that it’s been practical to apply it to real-world problems such as those found in IoT. One, because the computational power is now available and two, because vast amounts of data are now available to train it. In this episode of the IoT show, I speak with Richard Boire about the differences between artificial intelligence and analytics in the context of IoT.

Read the rest of the show analysis notes including the transcripts at: http://bit.ly/IoTPodcast104notes

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Category:general -- posted at: 12:30am PST

Is it just semantics or is there a real difference between artificial intelligence (AI) and analytics; between machine learning (ML) and AI; between deep learning (DL) and ML, and between analytics and DL? Well, it depends on how detailed you want to go. In this episode of the IoT business show I speak with Bret Greenstein about using AI in IoT and how it’s different from using analytics.

Read the rest of the show analysis notes including the transcripts at: http://bit.ly/IoTPodcast103notes

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Category:general -- posted at: 12:30am PST

There are two types of manufacturing: discrete manufacturing where the output is physical, countable things, and process manufacturing, where the output is chemistry – think oil & gas. Process manufacturing has been consistently instrumented for over two decades so it is not surprising that they’re a little ahead of their discrete counterparts on their path to IoT. In this episode of the IoT business show, I speak with Peter Zornio about IoT analytics in process manufacturing, and his advice is applicable to all industries.

Read the rest of the show analysis notes including the transcripts at: http://bit.ly/IoTPodcast79notes

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Category:general -- posted at: 12:30am PST

Column-based versus row-based, SQL versus NoSQL and streaming versus batch are three of the most important dimensions to consider choosing your IoT database. But let’s get something clear, databases are two levels of indirection beyond what’s truly important: the IoT information you require. Databases support analytics support information. Having said that, the informed business manager on databases will ask the right questions and set the right priorities during ideation of the IoT product. In this episode of the IoT Business Show, I speak with Nik Rouda who breaks down the data environments used in IoT today.

Read the rest of the show analysis notes including the transcripts at: https://www.iot-inc.com/iot-databases-tuned-for-analytics-podcast/

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Direct download: new_internet_of_things_business_podcast_order46.mp3
Category:general -- posted at: 1:00am PST

It seems like predictive analytics gets all the attention these days but generally speaking, it requires either a Data Scientist or a machine learning algorithm operating on lots of event data, in order to predict the all-important dimension of time, at least to any degree of useful certainty. Enter prognostic analytics. In a closed system of uniform conditions, prognostic analytics can make better predictions about the “when”. In this episode of the IoT Business Show, I speak with Moritz von Plate about how the characteristics of this older-school stats make it very well suited for predictive maintenance in Industrial IoT.

Read the rest of the show analysis notes including the transcripts at: http://bit.ly/IoTPodcast73notes

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Direct download: new_internet_of_things_business_podcast_order45.mp3
Category:general -- posted at: 1:00am PST

OK, get ready for it, we’re going to get down and dirty with predictive analytics and when I say dirty, I mean the mathematics of the different forms of predictive models dirty. Geekfest? Yes, but close your eyes and extrapolate how predictive analytics can be applied to your situation. By understanding how it works you will also understand the limits of what it can and cannot do. In this episode of the IoT Business Show, I deep dive with Anil Gandhi and emerge with a better understanding of predictive analytics and how it really relates to real-time and descriptive analytics.

Read the rest of the show analysis notes including the transcripts at: https://www.iot-inc.com/deep-dive-internet-of-things-predictive-analytics-podcast/

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Direct download: new_internet_of_things_business_podcast_order44.mp3
Category:general -- posted at: 12:00am PST

Descriptive analytics is nothing new, however, IoT is applying evolutionary forces to make it adapt to unstructured sensor data and evolve into a mechanism of discovery rather than report generation. Tools that blend traditional business intelligence, analytical modeling and visualization now help data scientists discover the story behind the data which can lead to valuable insights for the enterprise. In this episode of the IoT business show, I speak with Dave Rubal about how to apply descriptive analytics to your Internet of Things.

Read the rest of the show analysis notes including the transcripts at: https://www.iot-inc.com/internet-of-things-descriptive-analytics-discovery-podcast/

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Direct download: new_internet_of_things_business_podcast_order43.mp3
Category:general -- posted at: 12:00am PST

Listen to this analysis episode with Bruce Sinclair where he analyses the latest IoT news or practices from a business perspective. In this episode, Bruce recounts recent meetings with clients and discussions with IoT design houses to discuss the current state of the art in data analytics in IoT deployments.

Read the rest of the show analysis notes including the transcripts at: https://www.iot-inc.com/analytics-step-2-in-iot-deployment-and-thats-ok-podcast/

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Direct download: new_internet_of_things_business_podcast_order42.mp3
Category:general -- posted at: 8:30am PST

First, it was Big Data and now it’s the Internet of Things; the science of data is becoming increasingly sexy, maybe not Victoria’s Secret sexy but it certainly gets the juices flowing for business leaders in the know. Hot or not? Definitely hot. In this episode of the IoT Business Show, I speak with Ajit Jaokar about his passion, data science, and the application of machine learning, deep learning and predictive analytics in IoT.

Read the rest of the show analysis notes including the transcripts at: https://www.iot-inc.com/data-science-internet-of-things-analytics-podcast/

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Direct download: new_internet_of_things_business_podcast_order41.mp3
Category:general -- posted at: 7:00am PST

In the Internet of Things, there are generally three classes of analytics performed: real-time analytics done of the fly alerting you to anomalies; predictive analytics performed as a post process yielding a prediction and confidence level and descriptive analytics that reports on past, present or future data with visualizations that often result in the biggest insights. In this episode of the IoT Business Show, I discuss the differences in these types of analyses with Shepherd Shi, as well as the steps that are taken before and after.

Read the rest of the show analysis notes at: https://www.iot-inc.com/three-main-classes-internet-of-things-data-analytics-podcast/

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Direct download: new_internet_of_things_business_podcast_order40.mp3
Category:general -- posted at: 12:05pm PST

In my view, delivering outcomes is IoT’s killer app. It requires the IoT platform, its technical underpinning, and the IoT ecosystem, its business underpinning, to come together in just the right way. In this episode of the IoT Business Show, I share with you three lessons from the ICIP Strategy & Digital Transformation course. The first is an overview of outcomes, also one of the major drivers of every IoT strategy. Then a digital transformation lesson on marketing and finally, an important methodology that should always be employed when starting an IoT offering – Design-Sell-Build.

Read the rest of the show analysis notes including the transcripts at http://bit.ly/IoTPodcast99notes

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Direct download: new_internet_of_things_business_podcast_order39.mp3
Category:general -- posted at: 12:00pm PST

The digital twin can be hierarchical – representing environments, systems, products and even parts. When digitizing supply networks with digital twins, the network can be a digital twin of its systems, which can be digital twins of their assets, which can be digital twins of their parts which themselves can be digital twins. Sound complicated? It doesn’t need to be. Start at the level of the hierarchy that returns the most value and proceed from there. In this episode of the IoT Business Show I speak with Dr. Lane Warshaw and Aaron Parrott about the digital twin and its profound use in digital supply networks.

Read the rest of the show analysis notes including the transcripts at: http://bit.ly/IoTPodcast89notes

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Direct download: new_internet_of_things_business_podcast_order38.mp3
Category:general -- posted at: 9:00am PST

We’ve discussed the digital twin at length but what is the cognitive digital twin? Is it possible to develop cognitive computing models with our data to endow our digital twin with artificial intelligence? The answer is yes, and in this episode of the IoT Business show, I speak with Dr. Ahmed El Adl about how this is done and the situations where an AI approach to reaching insights may be better than an analytics approach.

Read the rest of the show analysis notes including the transcripts at: http://bit.ly/IoTPodcast88notes

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Direct download: new_internet_of_things_business_podcast_order37.mp3
Category:general -- posted at: 6:00pm PST

The digital twin is a federation of data and models that can be analyzed or put into a simulation to create useful information about the past, present or future of the DTs physical twin. The type of model and the level of model can make or break the analysis or simulation. In this episode of the IoT Business Show, I get down and dirty with Jim Tung, breaking the digital twin down in order to understand this most important tech at both the atomic and system level.

Read the rest of the show analysis notes including the transcripts at: http://bit.ly/IoTPodcast87notes

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Direct download: new_internet_of_things_business_podcast_order36.mp3
Category:general -- posted at: 8:00pm PST

The IoT platform is generally thought of as networking tech – middleware to connect all the IoT components together – and often it is, but a certain class of platforms, the so-called, application enablement platforms, or AEPs, also provide the development and execution environment for the digital twin. In this episode of the IoT Business Show, the third in a series on the digital twin, I speak with Jason Schern and Jeff Miller about the dt and its relationship to the AEP.

Read the rest of the show analysis notes including the transcripts at: http://bit.ly/IoTPodcast86notes

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Direct download: new_internet_of_things_business_podcast_order35.mp3
Category:general -- posted at: 12:00am PST

The reason the digital twin, or software-defined product, as I prefer to call it, is the most important IoT tech, is because it’s the basis for the unique functionality possible from using the Internet of Things. Going beyond smarts or connectivity, it is this unique functionality that creates value, enough value that results in a profitable IoT product. In this episode of the IoT Business Show, the second in a series on the digital twin, I speak with Arnulf Hagen about the underlying models of the digital twin, and the high-level ways you can use them to create value.

Read the rest of the show analysis notes including the transcripts at: http://bit.ly/IoTPodcast85notes

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Direct download: new_internet_of_things_business_podcast_order34.mp3
Category:general -- posted at: 12:00am PST

The digital twin, or software-defined product as I prefer to call it, is the most important tech in IoT, yet you hardly hear anything about it, when compared to other IoT tech such as sensing, networking, and analytics. Maybe it’s because it’s such a new and abstract concept for most people. Well, that’s about to change. In this episode of the IoT Business Show, I speak with Dimitri Volkmann about producing the digital twin for the Industrial Internet of Things.

Read the rest of the show analysis notes including the transcripts at: http://bit.ly/IoTPodcast84notes

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Direct download: new_internet_of_things_business_podcast_order33.mp3
Category:general -- posted at: 12:00am PST

Big Data is big! It’s another entire industry that’s subsumed by the Internet of Things. There’s a lot to consider but it all starts with your business information requirements – what you get by transforming the raw sensor data you collect into business value you can use. In this episode of the IoT Business Show, I speak with Big Data expert Mark van Rijmenam to conclude our seven-part miniseries on analytics by covering the entire array of what’s available.

Read the rest of the show analysis notes including the transcripts at: https://www.iot-inc.com/full-array-of-big-data-applied-to-iot-podcast/

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Direct download: new_internet_of_things_business_podcast_order32.mp3
Category:general -- posted at: 12:00am PST

Using external data in addition to your internal data is strategic. Besides public microservices, business systems, and IoT products, an emerging source of external data is the datamart, otherwise known as the data marketplace or data exchange – places where you can buy and sell data on the open market. But should you sell your data and are there any other options to do so? In this episode of the IoT Business Show, I speak with Tim Panagos about setting up your own datamart and the inherent value in doing so - even if you don’t plan on selling anything at all.

Read the rest of the show analysis notes including the transcripts at: http://bit.ly/IoTPodcast118note

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Direct download: new_internet_of_things_business_podcast_order31.mp3
Category:general -- posted at: 12:00am PST

Opensource software is mainstream. But opensource data? Yeah, and it can be found in a datamart near you. The thinking is, if you make your data freely available for all to use; all will improve it. It will be made more consumable, you will get feedback on how to use it and perhaps counterintuitively, you will learn how to value it. In this episode of the IoT Inc Business Show, I speak with Nicolas Terpolilli about applying the opensource ethos to data within the data exchange.

Read the rest of the show analysis notes including the transcripts at: http://bit.ly/IoTPodcast116notes

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Direct download: new_internet_of_things_business_podcast_order30.mp3
Category:general -- posted at: 12:00am PST

One of data science’s dirty little secrets is the time spent data wrangling, that is accessing the data and then transforming it into a form compatible with your data tools and chosen analytical and learning models. Most agree this can take a full 75-80% of data science time. In this episode of the IoT Inc Business Show, I speak with Adam Mayer about data access and form when shopping at your local datamart.

Read the rest of the show analysis notes including the transcripts at: http://bit.ly/IoTPodcast115notes

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Direct download: new_internet_of_things_business_podcast_order29.mp3
Category:general -- posted at: 12:00am PST

We’ve all heard it before: garbage in – garbage out. This is especially problematic with IoT data where dirty data, data that is well-formed but wrong, can cause a butterfly effect chain reaction, polluting the data lake, resulting in bad decisions and bad business. In this episode of the IoT Business Show, I speak with James Branigan about what bad data is, how to identify it, stop it and then deal with the aftermath.

Read the rest of the show analysis notes including the transcripts at: http://bit.ly/IoTPodcast80notes

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Direct download: new_internet_of_things_business_podcast_order28.mp3
Category:general -- posted at: 12:00am PST

They say data is the new oil. Well if that’s the case, then like oil, crude data must be refined and packaged to make it useful and consumable. If you believe, like I believe, that all incremental value from an Internet product comes from transforming its data into useful information, then external sources of data, when combined with internal data, can become very valuable, indeed. In this episode of the IoT Business Show, I speak with David Knight about third-party data markets and syndicates.

Read the rest of the show analysis notes including the transcripts at: http://bit.ly/IoTPodcast67notes

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Direct download: new_internet_of_things_business_podcast_order27.mp3
Category:general -- posted at: 12:00am PST