In this episode, we talked with Leonard Marano, President of the Americas at Lectra. Lectra provides Industry 4.0 solutions to bridge the gap between the consumer and the factory bringing precision and flexibility to the design to production process.

In this talk, we discussed market trends driving Industry 4.0 adoption including mass customization, sustainability, nearshoring, and workforce shortages. We also explored how manufacturing in the fashion industry is evolving its supply chains to differentiate quality, cost, and speed to market.

Key Questions: 

●      How does mass customization affect the current market trends?

●      What factors affect people to invest more in technologies that promote sustainability?

●      How do nearshoring and workforce shortages drive automation?

This week, we interviewed Bryan DeBois, director of Industrial AI at RoviSys. RoviSys is a global system integrator that applies the most effective methods for building, analyzing, improving, and maintaining complex autonomous systems.

In this episode, we talk about the concept of autonomous AI that integrates deep reinforcement learning based on machine data with machine teaching based on the main expertise and improvement through simulation. We also explored the industrial landscape broadly, including the cost structure, ROI targets, use cases, cloud strategy, and emerging technologies like GPT4.

Key Questions:

●      What is autonomous AI?

●      What is the status of industrial AI in the S-curve of artificial intelligence?

●      What are the use cases that are fit for autonomous AI?

●      What is the cost structure for autonomous AI?

In this episode, we talked with Matt Oberdorfer, founder and CEO of Embassy of Things. Embassy of Things enables industrial enterprises to modernize and build their own operational cloud historians, industrial digital twins, and data lakes.

In this talk, we discussed how to modernize industrial data architecture to resolve development bottlenecks and simplify the path from a pilot scale. We also explored the application of generative AI to the industrial environment. 

Key Questions:

• What is your perspective on the human or organizational element as a bottleneck to moving from POC to scale?
• What is the architectural element for industrial data and industrial AI?
• What is the difference between generic AI and generative AI?

In this episode, we talked with Rob Hirschfeld, CEO and founder of RackN. RackN connects the tools people use to manage infrastructure to workflow pipelines through seamless automation across IT systems, platforms, and applications.

In this episode, we discussed the challenges of operating on-premise data centers and the need to automate processes as companies adopt edge computing. We also explored the development during the past 25 years of data center evolution, what has improved, and where we still need progress. 

Key Questions:

• What are the challenges nowadays for cloud infrastructure? 
• How have IoT and data centers evolved over the past 25 years? 
• How do companies adapt to edge computing?

In this week's episode, we interviewed Scott Hondros, Vice President of Professional Services at CenTrak. CenTrak helps healthcare facilities create a safe, and efficient healthcare environment through the deployment of industry-leading real-time location systems.

In this episode, we discussed how healthcare providers use IoT systems data to increase productivity, reduce operating costs and transform patient care. We also talked about machine-learning adoption to generate insights into asset utilization and the potential for the adoption of generative AI to create speech-based user interfaces.

Key Questions:

• Do you see people experimenting with a new business model around RTLS?
• What is the stakeholder relationship for large healthcare facilities?
• What is the future of voice-based interfaces for the healthcare industry?

For today's episode, we talked with Artem Kroupenev, Head of Strategy for Augury. Augury uses AI to detect machine failures before they occur by empowering the largest process manufacturers to integrate AI into their daily operations.

In this talk, we discussed how AI co-pilots transform the factory floor by guiding maintenance, quality, and production decisions with highly accurate diagnostics. We also explored the impact of GPT-4 and other large language models on how manufacturers use unstructured information and build more convenient user interfaces.

Key Questions:

• How would you apply AI and machine learning to the manufacturing environment?
• What does the journey look like for AI integration in industrial and manufacturing in the coming years?
• How do you work with unstructured information to build more convenient user interfaces?

In this episode, we talked to Cory O'Daniel, CEO and co-founder at Massdriver. Massdriver helps engineers deploy best-practice cloud architectures with integrated observability and security without being a DevOps expert.

In this talk, we discussed the evolution of DevOps and cloud computing and why traditional DevOps practices don't work well for many start-ups today. We also explored the promise of generative AI to alien DevOps programming.

Key Questions:

What industries are mostly involved in DevOps programming?

What are the improvements needed for DevOps nowadays?

How do you see the democratization of access to AI evolve right now?

This week, we interviewed Francesco Sammartini, Managing Director of Advanced Microwave Engineering (AME). AME provides end-to-end active safety solutions based on proprietary technology that helps companies achieve the highest level of safety for workers while maintaining operational efficiency.

In this episode, we discussed the transition from passive safety, or minimizing damage, to active safety focused on using intelligent systems to avoid dangers. We also explored the importance of a customer-centric approach in industrial environments to ensure that solutions that are designed for the needs of end-users and business processes.

Key Questions:

• What to look forward to in an active safety transition for companies?
• What are the solutions offered to meet the needs of end-users in industrial environments?
• What do you look forward to in new technology development, especially in using intelligent systems for active safety?

This week, we interviewed Johan Stokking, CTO and co-founder of The Things Industries. The Things Industries is the industry renown expert that provides an integrated chain of LoRaWAN products and services to help companies start building secured end-to-end solutions for themselves and their customers. 

In this episode, we discussed the value proposition of LoRaWAN and why it has survived and thrived in the fiercely competitive connectivity ecosystem. We also explored the business project behind the pricing models and why simplicity and transparency are critical for operators of large device fleets. 

Key Questions:  

• What is the development progress of LoRaWAN been since then?
• What are the factors that contributed to the success of LoRaWAN?  
• How do you break down the capabilities and processes around the LoRaWAN platform?
• How do you come up with the pricing model for your business? 

Our guest for this week is Shankar Somasundaram, founder and CEO of Asimily. Asimily is a medical IoT risk mediation platform that holistically secures mission-critical healthcare devices through inventory detection, cybersecurity management, and procurement to operation support.

In this episode, we discussed the unique challenges in securing the healthcare environment, from heterogeneous device fleets to the broad attack landscape and complex regulations. We also explored the importance of integrating operations in IT that can impact medical device performance.

Key Questions:

• What areas need focus for cybersecurity companies to address new threats in the market?
• How do you address the need to secure a hybrid and home healthcare environment?
• Where does the liability lie for cybersecurity issues in the healthcare industry?