Warehouses have long been the center of some of the most sophisticated information technology. RFID tags and readers, warehouse control systems, automated conveyors, voice picking and mobile devices are all commonly used to move goods and manage inventory with greater efficiency and precision.

Nowadays, the emphasis is on adding more autonomous technology that takes over some of the drudgery and risk from warehouse workers. Robots and artificial intelligence play an increasingly important role in warehouse operations.

One company on the leading edge is London-based Dexory, which makes what it calls a warehouse intelligence platform that combines stock-scanning robots, analytics software, AI and digital twins. The vendor claims the system provides 99.9% inventory accuracy and significantly improves warehouse efficiency.

In this podcast, Dexory CEO Andrei Danescu explains how the platform improves warehouse visibility, automation and efficiency, as well as its broader implications for supply chain management and logistics.

Before co-founding Dexory (previously BotsAndUs) in 2015, Danescu held engineering roles in the automotive industry. He developed autonomous vehicle technology for Jaguar Land Rover and was a trackside systems engineer for a Formula One racing team, responsible for sensors, telemetry systems, data analytics and other technologies.

Other topics discussed in the podcast include:

• how the COVID-19 pandemic changed logistics
• whether AI and robotics threaten the jobs of warehouse workers
• the potential of warehouse data intelligence to further the long-sought goal of end-to-end supply chain visibility

Host: David Essex, Industry Editor, TechTarget

Artificial intelligence and digital twins are probably the two most hyped information technologies of the 2020s. Yet both are already delivering practical benefits in fields ranging from industrial design and manufacturing to customer service and healthcare.

They are especially powerful when used together, with each helping to improve the other. Digital twins – virtual representations of real-world entities or processes – can supply the structured and comprehensive data AI needs for machine learning while AI adds analytical and predictive capabilities and automation that make digital twins more effective.

Technology vendors and researchers have been exploring ways AI-enabled digital twins can improve healthcare by, for example, virtualizing pharmaceutical trials, tailoring heart monitors to individual hearts or optimizing medical procedures. Some even envision someday building a digital twin of a patient.

In this podcast, Gary Shorter, head of AI at IQVIA, explains the challenges and potential of pairing digital twins with AI in healthcare. IQVIA provides data analytics technologies and clinical research services to the life sciences industry.

Other topics discussed in the podcast include:

• Why digital twins of patients are probably a long way off
• Benefits of more narrowly focused digital twins of hearts, eyes and other organs
• Ways AI and digital twins are being used now
• Technology segments that are driving development of digital twins in the life sciences

Host: David Essex, Industry Editor, TechTarget

Ever since generative AI's debut in late 2022, ERP vendors have raced to embed its human-like communication, research and analytical capabilities into their software. Besides responding to customer demand for AI, they're keen to use the technology to make their complex systems easier to use and more responsive.

At its annual Sapphire 2024 conference in Orlando, Florida, the biggest ERP vendor, SAP, made generative AI the focus of almost every major product announcement, stage presentation and demo. It also announced AI partnerships with Nvidia, Microsoft and Google and significant enhancements to its Rise with SAP program, which is designed to ease the transition to SAP's newest ERP platform, S/4HANA Cloud.

In this podcast, TechTarget Industry Editor David Essex and News Writer Jim O'Donnell discuss the major developments at Sapphire and what they mean for SAP and its customers.

Other topics discussed in the podcast include:

• SAP's plans to make its Joule generative AI assistant the new user interface to its business applications
• the surprise announcement that SAP is buying WalkMe, a digital adoption platform, for $1.5 billion dollars
• how the role of implementation partners such as Deloitte, EY and PwC in S/4HANA migration is evolving
• SAP's advocacy of an ERP "clean core" as a foundation for multitenant SaaS applications
• where the Sapphire announcements leave SAP in the generative AI race against ERP competitors

Host: David Essex, Industry Editor, TechTarget