Network APIs are heralded as a game changer in the ongoing struggle of 5G operators to make a good return on their enormous investments in building these highly capable networks. Unlike previous attempts, stars might be aligning this time to make APIs successful. Aduna was formed by a collaborative effort between Infra major Ericsson and scores of handpicked large global 5G operators.

In this episode, I speak to Anthony Bartolo, CEO of Aduna. We discuss the reasons for Aduna’s existence, how it collaborates with the GSMA’s Open Gateway initiative and the Linux Foundation’s CAMARA project, typical use cases, target verticals, traction so far, the role of hyperscalers, who have their own large app ecosystems, which is crucial for API proliferation, and more.

We also delve into Aduna's business and revenue model, how other players can join, what the future holds, and how the company defines the success of this effort.

AI is jumping from one hype cycle to another. First, it was simple AI, then came Generative AI, and currently, we are reeling from Agentic AI. The new term is already lurking—Artificial General Intelligence (AGI).

Actually, AGI is pretty old, dating back to the early 2000s. What is it, and why is it gathering attention now? I talk to the person who came up with the very term--Peter Voss, CEO & Chief Scientist at Aigo.ai.

We delve into how AGI mimics human learning functions, how it differs from Gen AI, why it is cost- and power-efficient by orders of magnitude, whether today's Gen AI can evolve into AGI, and more.

We also discuss whether AGI's human-like learning can create cyborgs and Skynet.

Industrial technology giant Honeywell is redefining the noble barcode scanner for the industrial age.

In this episode, I speak to Theodore Newman, Senior Manager of Global Application Engineering, and Steph Hobley-Lloyd, Global Offering Manager, about Honeywell’s Swift Decoder SDK. We discuss the needs of barcode scanners for industrial and enterprise use cases, focusing on rapid, high-accuracy batch scanning, integrating the functionality into various types of devices and machines, and how Swift Decoder's flexibility and multi-OS support address these needs. Additionally, we explore how the upcoming support for AI will significantly expand its utility and applications.