Industrial IoT Spotlight

In this week's episode, we interviewed Taylor Cooper, CEO of MistyWest. MistyWest is an engineering design consultancy that creates technically complex, intelligent connective devices that accelerate the world's transition to a more sustainable future. In this talk, we discussed embedded computing, an essential system that helps electronics and industrial devices function well. We also dive deep into the current state of embedded computing and share the best practices for crossing the valley of death from concept to production for a connected device. Key Questions: What has changed in embedded computing over the past ten years? How is the current chip shortage impacted companies that are bringing new IoT solutions to market? Which IoT segments are red oceans today, and where is there potential to discover blue oceans? How do you explore opportunities for new solutions?

In this episode, we interviewed Andy Chatham, CEO and Co-founder of DIMO. DIMO is an open platform that connects data producers like cars, consumers and business applications to unlock next-generation mobility services. Today, we explored the potential of Web3 as an enabling technology for the automotive industry. In particular, we discussed how Web3 provides a convenient infrastructure to conduct business transactions on which innovation business models can be designed. Key Questions: What technology and market changes have made DIMO's business model feasible today? What are the challenges of hardware-software integration for applications used in cars? When does the Web3 approach make sense as part of a business model? How does government regulation impact the development of Web3 business models?

This week we interviewed Ross Sheil, Senior Vice President of Global Revenue at Infogrid. Infogrid is a mission-based, AI-intelligence-powered platform that gathers and analyzes data from its Internet of Things (IoT) sensor network to drive its mission of making every building healthy, efficient, and sustainable. In this episode, we discussed how the demand for building intelligence to reduce energy consumption and improve human well-being has increased. Infogrid works with Fortune 500 companies helping them to reimagine their smart-building strategies for corporate real estate. Key questions: What significant changes in the building tech industry have you observed in the past years? How do regulations impact the use of technology in buildings? How do you measure the impact of AI solutions on building owners and managers? Which stakeholders do you typically work with in a smart building project? How do you deal with issues of privacy in collecting data related to employees or customers in commercial buildings?

In this episode, we interviewed Gijs Meuleman, CEO of Sensorfy, specialist in predictive solutions for industrial companies. Sensorfy designs and develops predictive maintenance solutions to processes sensor data near the source, with machine learning on the edge. We discuss how to transform a transactional business model into service-based, data-enabled business that is more closely aligned with benefits realized by the end customer. We also discuss how predictive maintenance impacts operations cost structures to allow leaner maintenance organizations while sustaining service levels. Key Questions: Why is predictive maintenance one of the most widely adopted IoT use cases? How do you evaluate the different parameters to decide if predictive maintenance makes sense in a specific situation? How do predictive analytics enable business model innovation? What is the current level of maturing in industrial equipment markets in terms of adopting service based business models?

In this week's episode we were joined by Gregory Garrett, CEO of CGS Advisors, a strategic transformation advisory firm that helps companies plan and execute initiatives to compete in a connected world. He is also the host of the highly rated podcast You, Me and Your Top Three. In a change to our typical format, Gregory kicked off by interviewing Erik about his experience as an entrepreneur in China. They then switched roles and Gregory shared his perspective on the importance of establishing an ecosystem in order to create digital solutions that scale. Key Questions: How do you keep your knowhow fresh when you work in a dynamic industry? What is it like to be an American entrepreneur in China? Who should you surround yourself with in order to become a better leader? How do you build a vision for your company's future? And when should you be open to changing that vision?

In this episode, we interview Brian Gilmore, director of IoT and Emerging Technology at InfluxData. InfluxData is the creator of InfluxDB, a pioneering time series platform that allows developers to build real-time IoT, analytics, and cloud applications with time-stamped data. They handle massive volumes of data produced by sensors, applications, and systems that change over time. Today, we discuss how next-generation databases create new opportunities by enabling organizations to seamlessly integrate real-time IoT data streams with cloud databases. We also dive deep into the relationships between database technology and adjacent innovations in AI, AR, and blockchain. Key Questions: What is the right way to think about "real time" from the perspective of a user? What are the unique uses of time series data, and what challenges does it present? How are AI, AR and blockchain being integrated into IoT systems? What recent database developments are improving management of complex IoT systems?

This week we interviewed Tim Wagner, CEO of Vendia. Vendia is a real-time data infrastructure provider that enables companies to securely share data across organizations, applications, and data lakes. In this talk, we discussed the use of next-generation blockchain and server list infrastructure to solve data sharing problems related to security, privacy, and data management. We also explored the three body problem - how conventional IT, private ledgers, and public blockchains will work together to usher in the Web 3.0 era. Key Questions: What are the characteristics of a suitable use case for blockchain architecture? How to distinguish between private and public ledgers? How do data ownership and sharing mechanisms work for private blockchains? What is the functionality and business logic of next generation blockchains?

Data annotation is the hidden champion of machine learning. It is the process of tagging image, video, text, and other data in order to prepare it for training a model. The quality of your data annotation makes the difference between insight and noise. In this week's episode, we interview Tigran Petrosyan, co-founder and CEO of SuperAnnotate. We discuss how to manage and scale your annotation workflow, quickly spot quality issues in your data, and seamlessly integrate new data sets into your existing pipeline. We also explore how specialized agencies and AI are collaborating to accurately tag the high volume of data that AI training requires. Key questions: How to manage the key steps of the annotation process - annotate, manage, automate, curate, and integrate? How can you deliver ML projects faster without compromising on quality? How should you balance the efforts of internal teams, freelancers, and automated tagging to achieve the right cost structure and performance?

In this episode, we interview Ricardo Baibich, CTO of Kando. We discuss the use of IoT data from water utilities to provide visibility into energy efficiency, infrastructure status, and population health risks and trends. We also explored the unique challenges faced by utilities due to the complexity of their networks and their inability to control the volume and quality of water flows into their systems. Kando is a data intelligence platform that brings data from waste water to help improve and support public health and the environment. Kando works with public authorities, municipalities, and water utilities to create operational visibility by leveraging IoT hardware and machine learning. Key Questions: What are the biggest challenges that utilities face in managing waste water infrastructure? How can utilities use waste water data and machine learning to understand population health trends? How can legacy software and hardware be integrated into a modern connected system? How can data analytics make a circular water cycle possible and preserve water in arid regions?

Our guest today is Roy Dagan, CEO of SecuriThings. We explored the challenges companies face in securing IoT devices and understanding their performance. We also tapped into the increasing importance of automation and analytics for securing and tracking large fleets of devices. SecuriThings is a platform that provides real-time security and operational efficiency to improve system availability, organizational compliance, and cyber security. SecuriThings redefines the way organizations manage and secure their IoT devices at scale. Key Questions: Where are we today in our ability to secure large and diverse fleets of devices? How does securing an IoT device differ from securing a traditional IT system? How can you translate device data into accurate assumptions about security threats or operating problems? Is there a need for human intervention in the loop? Or can security operations be automated with sufficient training data? How can better device awareness lead to improved operational performance and ROI?