InsightDotTech Talk

Are you struggling between Windows and Linux operating systems? Linux is great for leveraging cloud-native workloads and advanced capabilities such as AI or ML, but most existing workloads and applications are built around Windows. This results in businesses having to make compromises on which capabilities they can bring to their infrastructure and technology stack.

That’s why the Azure IoT Edge for Linux on Windows (EFLOW) was developed to help blend the old with the new and enable Linux-based workloads to run on Windows devices. The solution is already being used to address supply chain issues by modernizing ports with cross-platform capabilities and more. 

In this podcast, we will explore the challenges with today’s industry transformation efforts, the role EFLOW plays, and how to successfully implement the platform, as well as necessary partners for IoT success.  

Join us as we explore these ideas with:

Scott Chmiel, Business Development Manager at Arrow Steen Graham, Co-Founder and CEO of Scalers.ai Christina Cardoza, Associate Editorial Director

Scott and Steen answer our questions about

• The state of today’s industry transformations
• The impact of IoT challenges both on a business and societal level
• The different players involved in transformations, for example, smart ports
• How to make innovative and impactful business transformations
• The technology strategy behind industry transformations
• Deploying innovative apps with EFLOW
• How EFLOW was used in port modernization efforts
• The value of EFLOW across all verticals
• What types of partnerships go into these transformations

For the latest innovations from Arrow, follow them on Twitter at @Arrow_dot_com and LinkedIn at Arrow-Electronics.

The time is now for manufacturers to start moving toward a smart factory before being left behind by their competitors. But where do they begin? The challenge is that there’s no right answer. To come up with workable solutions, manufacturers must clearly understand the operational problems they face.

For example, a lot of manufacturers still conduct manual defect detection on the production line. This is not only expensive and time consuming, but often leads to inaccurate results. One way to address this issue is to apply machine vision and deep-learning models to smart cameras and automate the quality inspection process.

In this podcast, we explore changes happening on the factory floor, what makes a smart factory run, and how machine vision and AI improve the product inspection process.

Join us as we explore these ideas with: David Dewhirst, VP of Marketing, Mariner Christina Cardoza, Associate Editorial Director, insight.tech

David answers our questions about:

• What is a smart factory?
• How manufacturers have adapted to digital transformation
• Getting started on the smart-factory journey
• Computer vision vs. machine vision
• Importance of AI for product defect detection
• What to do when there is lack of IT support
• Data processing in the cloud and at the edge
• Working in a partner ecosystem

Related Content

To learn more about defect detection, read A Guaranteed Model for Machine Learning. For the latest innovations from Mariner, follow it on Twitter at @MarinerLLC and LinkedIn at Mariner.

Computer vision has already cemented its place in smart manufacturing and industrial IoT solutions. But to unlock the full potential of these applications, more and more processing needs to be moved to the edge. The problem is that there is no one-size-fits-all approach when it comes to edge computing.

In this podcast, we will talk about the different “flavors” of edge computing, how to successfully deploy AI at the edge, and the ongoing role of the cloud.

Join us as we explore these ideas with: Jason Shepherd, VP of Ecosystem at ZEDEDA Blake Kerrigan, General Manager at Lenovo Christina Cardoza, Associate Editor Director, insight.tech

Jason and Blake answer our questions about:

• Recent transformations in the manufacturing industry
• The role of edge computing in industrial IoT solutions
• Successfully deploying AI at the edge
• The tools and technologies for edge computing
• When to use (and not use) the cloud
• Having the proper AI expertise and IT support
• Future-proofing manufacturing process and strategy

To learn more about edge computing in manufacturing, read Cloud Native Brings Computer Vision to the Critical Edge. For the latest innovations from Lenovo and ZEDEDA, follow them on Twitter at @Lenovo and @ZededaEdge, and LinkedIn on at Lenovo and Zededaedge.

Customer interactions have gone digital. Whether it is shopping online, ordering food, checking into a hotel, or paying for your bill with your phone—customers expect the same level of convenience and experience online and in stores. This creates pressures for retailers to implement new technologies and transform physical spaces. But if done correctly, it could have huge benefits beyond the customer experience.

For instance, imagine if retailers could use new digital experiences in stores to track and predict every touchpoint in the customer journey similarly to how they would online? With companies like meldCX and Intel®, it’s becoming more and more possible. In this podcast, we talk about the evolution of customer experiences, what retailers can do to meld physical and online stores together, and what a successful omnichannel experience looks like. 

Join us as we explore these ideas with: Stephen Borg, Co-Founder and CEO of meldCX Chris O’Malley, Director of Marketing for the IoT Group at Intel®Christina Cardoza, Associate Editorial Director

Stephen and Chris answer our questions about:

• The evolution of customer experiences
• How retailers are adapting to the changes
• Top retail pain points when working with new technologies
• What a successful retail omnichannel looks like
• How to gain more value from your business
• Making sense of available retail data
• The importance of a partner ecosystem
• Future-proofing your technology investments

For the latest innovations from meldCX, follow them on LinkedIn.

What can artificial intelligence do for your business? Well, for starters, it can transform it into a smart, intelligent, efficient, and constantly improving machine. The real question is: how? There are multiple different ways businesses can improve their operations and bottom line by deploying AI apps. But it’s not always straightforward and it requires a lot of skills and knowledge the business often does not have.

Thankfully, companies like Red Hat and Intel have worked hard to simplify AI development and make it more accessible to enterprises and developers.

In this podcast, we will discuss the growing importance of AI across all industries, what the journey of an AI application looks like from development to development, and what comes next, and the partners and tools that make it all possible.

Join us as we explore these ideas with: Audrey Reznik, Senior Principal Software Engineer, Red Hat Ryan Loney, Product Manager for OpenVINO™ Developer Tools, Intel®Christina Cardoza, Associate Editorial Director, insight.tech

Audrey and Ryan answer our questions about:

• The business benefits of AI and ML
• AI and ML use cases and adoption
• Challenges to deploying AI applications
• The recent release of OpenVINO 2022.1
• Red Hat’s experience with the new OpenVINO capabilities
• The AI app journey from development to deployment
• How to get started on an AI journey
• How OpenVINO can boost AI efforts

To learn more about AI and the latest OpenVINO release, read AI Developers Innovate with Intel® OpenVINO™ 2022.1. For the latest innovations from Intel and Red Hat, follow them on Twitter at @Inteliot and @RedHat, and LinkedIn at Intel-Internet-of-Things and Red-Hat.

As the world becomes more connected, businesses no longer can afford to have their IT and OT teams operate as separate islands. They need to collaborate and communicate to adapt and respond to their ever-changing business needs. But how do you merge these two separate worlds?

In this podcast, we explore how to break down IT and OT silos, the biggest business benefits, and the new opportunities IT/OT convergence creates for systems integrators.

Join us as we explore these ideas with: Jan Burian and Head of Manufacturing Insights for IDC Sunnie Weber, IoT Ecosystem Strategy Leader for Intel Kenton Williston, Editor-in-Chief for insight.tech

Jan and Sunnie answer our questions about:

• The importance of IT/OT convergence
• New businesses opportunities stemming from this convergence
• What businesses can do to bring people and platforms together
• How the convergence of IT and OT changes key skills, roles, and responsibilities
• Key considerations for systems integrators
• How IT/OT convergence will play a role in the metaverse
• The best way to approach IT/OT convergence in your organization

To learn more, read IT-OT Convergence: A Growing Opportunity for System Integrators. For the latest innovations from Intel and IDC, follow them on Twitter at @IDC and @Inteliot or on LinkedIn at IDC and Intel-Internet-of-Things.

Do you have the right tools, budgets, and expertise in place to take advantage of all the IoT world has to offer? Probably not. Most businesses are dealing with constrained budgets, limited resources, and a small staff. But that can be extremely troubling in today’s modern and digital landscape as customers demand better, faster, and more advanced solutions and services.

Luckily, you don’t have to do it alone. There are multiple different partnerships and programs out there to help put IoT businesses on a successful path. Take Tech Data’s Better Together strategic alliance as an example. The company partnered with Intel® and Microsoft to leverage their unique knowledge and experience to create seamless end-to-end IoT solutions and improve business outcomes.

If you’re looking to learn more about how IoT partners can help you, what to look for in a partner, and the whole IoT solution provider ecosystem, then this podcast is for you.

Join us as we explore these ideas with: Evan Unrue, European Chief Technologist for Data and IoT at Tech Data EMEA Kenton Williston, Editor-in-Chief at insight.tech

Evan answers our questions about:

• What drives enterprises to move toward IoT
• How successful companies have been at deploying this technology
• Easing the barrier of entry
• Solutions and use cases that support IoT development
• Tech Data’s Better Together Alliance with Microsoft and Intel®
• The value of IoT solutions aggregators
• What IoT businesses should think about moving forward
• Overcoming the biggest IoT business challenges

For the latest innovations from Tech Data, follow it on Twitter at @TechDataEurope and LinkedIn at TDSYNNEX.

Attendance for in-person events was already on the decline well before 2020, and it’s not hard to see why. When you are forced to spend valuable time waiting in long lines just to get into an event, get food, or even go to the bathroom, it’s hard to justify the costs.

On top of that, people don’t want to deal with crowds anymore. And venues are having a hard time trying to figure out how to manage everyone and enforce rules like social distancing. What if there was a way for venue operators to see in real time what was happening on the event floor so they could open more food stands, direct people to shorter bathroom lines, and streamline the flow of people?

In this podcast, we talk to PMY Group about the idea of smart stadiums and what it means for the event experience as well as the event technology and partnerships that go into making this a success.

Join us as we explore these ideas with: Joe Costanzo, Chief Technology Officer for PMY Group Kenton Williston, Editor-in-Chief for insight.tech

Joe answers our questions about:

• Key challenges with in-person events today
• How event technology is deployed within venues
• Improving event experiences with AI and computer vision
• Gaining full insights into the venue and its operations
• Real-world examples of smart stadiums
• Use of complex technology at temporary pop-up venues
• Leveraging existing venue and event technology
• KPIs that businesses should think about
• How data can uncover new opportunities

To learn more about transforming event experiences, read AI Innovations Are a Winner for Tennis. For the latest innovations from PMY Group, follow them on LinkedIn at PMYGroup.

Compared to the automotive and aviation industries, railways can seem rather antiquated. But trains are actually vitally important for modern digital infrastructure.

Rail systems can provide high-speed Internet connectivity to rural areas. They can help cut carbon emissions. And they can provide a surprising array of services to local communities.

Take the Marsden train station in West Yorkshire as an example. When an impending disaster was expected to hit this area, companies like Cisco and Network Rail Telecom (NRT) teamed up to leverage government-owned fiber running through the station and third-party radios to provide communications and connectivity to the community. The UK National Health Service was then able to set up telehealth pods for remote consultations, testing, and diagnosis. And that’s only one way rail technology is used for the greater good. 

In this podcast, we examine all the opportunities rail technology offers, smart rail benefits for both employees and passengers, and ongoing collaborations to improve rail operations and management.

Join us as we explore these ideas with: Greg Butler, Industry Lead for Rail for Cisco Simon Atterwell, Managing Director of Network Rail Telecom Kenton Williston, Editor-in-Chief for insight.tech

Greg and Simon answer our questions about:

• Biggest transformations in the rail industry
• How technology can meet new demands
• Importance of agile development and collaboration
• Rail technology benefits for both passengers and staff
• Smart rail possibilities from working with partners
• Using rail technology to reach carbon-neutral goals
• What global peers can learn from NRT and Cisco

For the latest innovations from Cisco and NRT, follow them on Twitter at @Cisco and @NetworkRail, and on LinkedIn at Cisco and Network-Rail.

Attendance for in-person events was already on the decline well before 2020, and it’s not hard to see why. When you are forced to spend valuable time waiting in long lines just to get into an event, get food, or even go to the bathroom, it’s hard to justify the costs.

On top of that, people don’t want to deal with crowds anymore. And venues are having a hard time trying to figure out how to manage everyone and enforce rules like social distancing. What if there was a way for venue operators to see in real time what was happening on the event floor so they could open more food stands, direct people to shorter bathroom lines, and streamline the flow of people?

In this podcast, we talk to PMY Group about the idea of smart stadiums and what it means for the event experience as well as the event technology and partnerships that go into making this a success.

Join us as we explore these ideas with:
Joe Costanzo, Chief Technology Officer for PMY Group
Kenton Williston, Editor-in-Chief for insight.tech

Joe answers our questions about:

• Key challenges with in-person events today
• How event technology is deployed within venues
• Improving event experiences with AI and computer vision
• Gaining full insights into the venue and its operations
• Real-world examples of smart stadiums
• Use of complex technology at temporary pop-up venues
• Leveraging existing venue and event technology
• KPIs that businesses should think about
• How data can uncover new opportunities

To learn more about transforming event experiences, read AI Innovations Are a Winner for Tennis. For the latest innovations from PMY Group, follow them on LinkedIn at PMYGroup.