Industrial IoT Spotlight

In this episode we spoke with Damien Wong, Senior Vice President for Asia Pacific at Tricentis, about how Agentic AI is redefining software quality assurance (QA) for enterprises navigating digital transformation. Damien shared his journey through 30 years in enterprise technology and explained how Tricentis is pioneering a future where autonomous testing drives both speed and reliability in software delivery. We explored why QA is fast becoming a board-level priority, how AI is removing the human bottlenecks in testing, and why quality is now existential in sectors like finance, healthcare, and government. Key Insights: • From manual to agentic: QA has evolved from manual testing to script-based automation, to codeless model-based testing, and now to agentic test automation. The equivalent of moving from driving a car to a fully autonomous vehicle. • AI-accelerated quality: Tricentis' agentic automation enables systems to autonomously create, execute, and adapt tests, dramatically accelerating release cycles and reducing risk from untested code. • Quality as a board concern: In Tricentis' Quality Transformation Report, two-thirds of organizations admitted to shipping untested code, making QA failures a C-suite and reputational risk rather than an IT issue. • Compliance through transparency: With acquisitions like SeaLights, Tricentis helps enterprises prove that every code change has been tested—critical for regulated sectors and global compliance. • Bring-your-own-AI flexibility: Tricentis' support for the Model Context Protocol (MCP) allows companies to plug in their own private AI models, ensuring data security and regulatory control while leveraging AI capabilities. • Empowering, not replacing, engineers: AI-driven testing shifts QA teams from repetitive test creation to strategic oversight, while tools like NeoLoad with natural language prompts make performance testing accessible to non-technical users. • Industry impact: From Zespri's self-healing ERP testing to preventing outages like Haribo's global gummy bear disruption, intelligent QA ensures business continuity and customer trust. • Future outlook: With 90% of code expected to be AI-generated within a year, the ability to test at AI speed will define competitive advantage in enterprise software delivery. IoT ONE case study database: https://www.iotone.com/case-studies The Industrial IoT Spotlight podcast is produced by Asia Growth Partners (AGP): https://asiagrowthpartners.com

In this episode we spoke with Mike Rohrmoser, VP of Product Management for OEM Solutions at Digi, a global provider of mission-critical IoT connectivity products and services. We explored how manufacturers are addressing labor shortages with IoT and automation, the trade-offs between retrofitting existing factories and building new ones, the evolving sensor and connectivity landscape, and practical steps to scale IoT pilots into production. Key insights: • Retrofitting existing plants is often the smarter move. Brownfield upgrades can cost 40–60% less than new builds and achieve faster returns when paired with business-focused use cases and retrofit connectivity. • Sensors and networks must be judged as a whole system. Industrial buyers weigh accuracy, deployment simplicity, and lifetime cost over unit price, with wireless IO-Link and LTE Cat 1 gaining traction and 5G RedCap on the horizon. • Edge AI is real, but focused. Today it is most effective in computer vision for quality inspection and counting, while new designs anticipate broader workloads as adoption matures. • GenAI augments people, not machines. Its strengths are in analysis, documentation, and device management, while safety-critical real-time control remains firmly in the domain of conventional automation. • Scaling pilots requires proving value early. Many initiatives stall when they start with technology instead of problems; success depends on production-ready components, operator trust, and leadership alignment. IoT ONE database: https://www.iotone.com/case-studies The Industrial IoT Spotlight podcast is produced by Asia Growth Partners (AGP): https://asiagrowthpartners.com/

In this episode, we spoke with Richard Savoie, Co-founder and CEO of Adiona Tech, about how AI and logistics software are accelerating the transition to smarter, greener cities. Richard shared his journey from medical devices to sustainable logistics, and how Adiona is helping global enterprises—from Coca-Cola to Australia Post—optimize fleets, cut emissions, and prepare for an electric and autonomous future. We explored why electrification requires new software, how AI digital twins reduce risk, and how sustainability can become a competitive advantage in logistics. Key Insights: • AI-powered fleet optimization: Adiona uses digital twins and AI simulations to boost vehicle utilization from ~60% toward 100%, maximizing assets while reducing costs and emissions. • Bridging electrification gaps: EVs and cargo bikes behave differently than diesel fleets, and Adiona's software closes that gap, making sustainable adoption practical and profitable. • Scalable impact: Partnerships with PepsiCo and Australia Post demonstrate measurable reductions in emissions and logistics costs, while improving customer retention. • Sustainability as strategy: Companies are turning emissions reporting into a competitive edge, with leaders like PepsiCo using low-carbon fleets to differentiate their brand and win contracts. • Future-ready logistics: We discussed autonomous vehicles, sidewalk robots, and hybrid delivery networks that will reshape how goods move through cities. IoT ONE database: https://www.iotone.com/case-studies The Industrial IoT Spotlight podcast is produced by Asia Growth Partners (AGP): https://asiagrowthpartners.com/

In this episode, we spoke with Barzan Mozafari, CEO and Co-founder of Keebo.ai, about how AI is transforming the economics of cloud data warehouse management. Barzan shared his journey from academic research to launching Keebo, and how his team is redefining performance optimization in enterprise data systems through AI-powered "data learning." We explored the value of automating infrastructure decisions, and why buying—not building—is the future for data teams under pressure. Key Insights: • Data learning: Keebo introduces a new paradigm that learns from metadata to automate and accelerate database tuning and optimization. • Plug-and-play value: No code rewrites, no data migration. Setup takes just 30 minutes. • Cost-driven AI: Automatically adjusts cloud warehouse configurations in real time. • Privacy-first design: Models run solely on metadata, with no access to sensitive data or queries. • Aligned incentives: Keebo charges based on savings delivered, creating a no-risk, ROI-driven adoption model. IoT ONE database: https://www.iotone.com/case-studies Industrial IoT Spotlight podcast is produced by Asia Growth Partners (AGP): https://asiagrowthpartners.com/

In this episode, we spoke with Sundeep Ahluwalia, Chief Product Officer at TDK SensEI, about how AI is transforming data-driven decision-making in industrial environments. Sundeep shared his journey from data analytics to founding SensEI, and how his team helps manufacturers unlock the hidden potential in their operational data. We explored the challenges of AI adoption in traditional industries, the importance of domain knowledge, and how to move from descriptive analytics to actionable intelligence. Key Insights: • Plug-and-play AI: Automatic data labeling and model deployment with no manual setup. • Edge-first design: AI runs on-device for real-time alerts without cloud latency. • Predictive insights: Identifies failures weeks in advance to cut downtime. • Enterprise-ready: Built-in cybersecurity, on-prem/cloud flexibility, ERP integration. • Scalable platform: Designed to grow with use cases, from sensors to digital twins. IoT ONE database: https://www.iotone.com/case-studies Industrial IoT Spotlight podcast is produced by Asia Growth Partners (AGP): https://asiagrowthpartners.com/

In this episode, we spoke with Dima Feldman, VP of Product Management and Marketing at Sony Semiconductor Israel, about the long-term viability of LTE-M technology and its role in IoT connectivity. We explored how LTE-M compares to other cellular IoT standards, its advantages in power efficiency and longevity, and how it fits into the 5G ecosystem. Key Insights: Longevity and Future-Proofing: LTE-M ensures IoT connectivity for decades, with some deployments lasting until 2045. Power Efficiency and Cost Savings: Lower power consumption enables years of battery life, reducing maintenance costs. 5G Integration: LTE-M and NB-IoT coexist with 5G, serving low-power IoT applications. Regional Adoption Differences: LTE-M dominates in North America and Europe, while China and India favor NB-IoT. Industry Applications: Used in smart utilities, logistics, asset tracking, and emerging iSIM solutions. IoT ONE database: https://www.iotone.com/case-studies Industrial IoT Spotlight podcast is produced by Asia Growth Partners (AGP): https://asiagrowthpartners.com/

In this episode, we speak with Onofrio Pirrotta, Senior Vice President and Managing Partner at Kyndryl, about the state of IT readiness in industrial sectors. We dive into key findings from Kyndryl's 2024 Readiness Report, the role of AI and IoT in digital transformation, and strategies for overcoming barriers to scaling innovation. Onofrio shares insights on bridging IT and OT, managing cybersecurity risks, and structuring governance models to drive ROI from new technologies. Key Insights: • The Readiness Paradox: 88% of manufacturers believe their IT environments are best-in-class, yet 55% say their tools are outdated, and only 31% feel prepared for future risks. • Bridging IT and OT: Successful digital transformation requires breaking down silos between IT and operational technology teams to enable enterprise-wide adoption. • Scaling Innovation: Many industrial firms struggle to move IoT and AI pilots beyond proof-of-concept due to unclear ROI and governance challenges. A structured framework with executive sponsorship is key. • Cybersecurity & Resilience: Large enterprises face increasing regulatory and supply chain security pressures. Simplifying cybersecurity tools and adopting a zero-trust framework are top priorities. • AI-Driven Operations: AI is increasingly auto-resolving IT infrastructure issues, reducing downtime and improving efficiency. However, companies must balance innovation with data security and compliance. Resources: • IoT ONE database: https://www.iotone.com/case-studies • Industrial IoT Spotlight Podcast is produced by Asia Growth Partners (AGP): https://asiagrowthpartners.com

In this episode, we talked with Chris Baird, CEO of OptConnect, about the evolving IoT landscape and the strategies driving enterprise adoption. Our conversation explored key growth drivers in IoT, the challenges of scaling connectivity, and the technologies poised to redefine the industry, including Edge AI and the promise of 6G. Chris shared insights into how regulatory and environmental factors are accelerating IoT adoption, the impact of turnkey solutions on reducing total cost of ownership, and the pivotal role of simplicity in scaling IoT deployments. Key Insights: What drives IoT growth? Regulatory shifts, environmental needs, and cellular ubiquity fuel adoption. How do you cut IoT costs? Simplified plug-and-play solutions reduce complexity and hidden expenses. Why has 5G underdelivered? 6G offers transformative potential in cost, latency, and scalability. What's next for IoT? Edge AI enables smarter systems and expands use cases like healthcare and security. Where is IoT thriving? Retail, water management, and medical devices show rapid adoption. IoT ONE Database: https://www.iotone.com/case-studies The Industrial IoT Spotlight podcast is produced by Asia Growth Partners (AGP): https://asiagrowthpartners.com/

In this episode, we spoke with Joey Hiller, Senior Technical Director at the Helium Foundation aboutthe transformative role of decentralized networks in IoT. We explored how blockchain incentives power scalable public networks, enabling new applications across urban and rural areas. Joey shared insights into the technology stack, innovative business models, and the challenges of creating reliable and resilient IoT connectivity. Key Insights: • Blockchain Incentives: Microtransactions encourage coverage expansion. • Decentralized Model: User-deployed gateways reduce telecom reliance. • Flexible Coverage: Supports urban and remote IoT applications. • Bundled Connectivity: Predictable costs enable service bundling. • Resilient Design: Decentralized structure ensures reliability. IoT ONE Database: https://www.iotone.com/case-studies Industrial IoT Spotlight podcast is produced by Asia Growth Partners (AGP): https://asiagrowthpartners.com

In this episode, we talked with Matt Van Itallie about the rapid integration of generative AI (GenAI) in software development and its profound impact on productivity and business practices. We discussed how GenAI is transforming coding processes, the risks involved, and strategies for mitigating those risks. The conversation also covers how organizations can maximize GenAI's benefits while maintaining security, legal compliance, and developer oversight in high-stakes environments like finance and health tech. Key Insights: • GenAI boosts productivity: GenAI can make developers up to 20% more efficient by assisting with routine tasks and enabling faster experimentation and prototyping. • Security and intellectual property risks: Despite its benefits, GenAI introduces risks, including security vulnerabilities and potential intellectual property issues depending on how the tools are used. • Importance of human oversight: Blending GenAI with human input is critical to ensure code accuracy, maintainability, and long-term security. • Enterprise-grade tools: Using enterprise or pro-tier GenAI tools is essential to avoid exposing sensitive company data and ensure compliance with legal standards. • Structured visibility and management: Organizations should implement clear strategies and tools to track GenAI use, especially in regulated industries, ensuring responsible and secure adoption. IoT ONE database: https://www.iotone.com/case-studies Industrial IoT Spotlight podcast is produced by Asia Growth Partners (AGP): https://asiagrowthpartners.com/

In this episode, we sit down with Paul Davis, VP of Product Management and Marketing at Atmosic Technologies, to discuss cutting-edge advancements in ultra-low-power and batteryless solutions for the Internet of Things (IoT). Atmosic is pioneering energy-efficient wireless solutions that can drastically reduce the need for batteries in connected devices, making a significant impact on sustainability and the future of IoT. We explore the latest developments in energy harvesting, Atmosic's adoption of Thread and Matter protocols, and the growing importance of tiny-ML and edge AI applications. Key Topics Discussed: • Innovations in energy harvesting, including printed photovoltaic cells for device casing. • Adoption of Thread and Matter protocols for smarter, more connected homes. • Industry adoption trends in retail, asset tracking, and sustainability efforts. • The future of ultra-low-power AI with Tiny-ML and edge computing. Connect with Paul Davis: • Website: https://atmosic.com/ • LinkedIn: https://www.linkedin.com/in/paul-davis-2a749 IoT ONE database: https://www.iotone.com/case-studies Industrial IoT Spotlight podcast is produced by Asia Growth Partners (AGP): https://asiagrowthpartners.com/

In this episode of the Industrial IoT Spotlight Podcast, we interviewed Bert Baeck, Co-founder and CEO of Timeseer.AI. Timeseer.AI is revolutionizing time-series data operations by automating data orchestration across organizations. Bert shared his journey from a background in data science to becoming a serial entrepreneur, with successful ventures like TrendMiner and now Timeseer.AI. We discussed the impacts of data downtime and strategies to ensure data quality, empowering data teams to detect, prioritize, and investigate data quality issues before they affect operations. Key Discussion Points: The critical role of data quality in industrial IoT and OT environments. How to establish metrics for measuring data quality. Real-world examples where data quality significantly impacts business operations. Timeseer.AI's philosophy of scanning data where it resides, whether on the edge, in storage units, or in the cloud. The interplay between IT and OT teams in ensuring data quality. To learn more about our guest, you can find him at: Website: https://www.timeseer.ai/ LinkedIn: https://www.linkedin.com/in/bertbaeck/?originalSubdomain=be

In today's episode, we're joined by Nikunj Mehta, Founder and CEO of Falkonry, a company revolutionizing plant operations with AI-driven insights. We explore the evolution of AI from project-based work to scalable software solutions, discussing the role of generative AI in automating data processing and simplifying output delivery. Nikunj shares insights on building trust in AI systems and leveraging wearables for real-time insights on the shop floor. Key Discussion Points: Falkonry's platform analyzes industrial equipment data to identify issues and trends. Software-based AI reduces implementation time and resources for companies. Challenges in AI adoption include building trust in AI systems and integrating diverse data sources. To learn more about our guest, you can find him at: Website: https://falkonry.com/ LinkedIn: https://www.linkedin.com/in/nrmehta/