IEEE Spatial Web chair George Percivall explains how the recently-approved IEEE P2874 Spatial Web Standard complements existing Web and digital twins’ standards to guide the development of decentralized, trustworthy, and useful physical AI.
Meta is in talks to quasi-acquire Scale AI to create a new lab for “super-intelligence.” Although Scale AI pitches itself as “innovating on data,” some might argue that its real innovation is optimizing data labelling 'sweatshops' for data sourced from...where? If this is the future of super-intelligence, I suggest we should all be alarmed.
IBM has revised its quantum computing roadmap, placing resilience and fault tolerance at the center. The race towards practical quantum computing needs to shift the emphasis from more physical qubits to quantum operations. Solving realistic engineering challenges could achieve quantum advantage by 2029.
IXI CEO and Co-Founder Niko Eiden explains how the firm plans to disrupt the $400 billion vision correction industry. Its approach has important implications for the future of smart glasses that help us to engage with the world rather than isolate us. It will also unlock opportunities for studying and improving user experiences, human performance, and health.
Verses demonstrates progress in leveraging AI models using Bayesian networks and active inference that are significantly smaller, more energy efficient, and honest than Deep Neural Network approaches. It will also simplify continuous and de-centralized learning but require re-thinking AI development processes.
Bernhard Schaffrik, Principal Analyst, Forrester, argues enterprises should focus on strategic opportunities of generative and agentic AI over cost savings and headcount reduction. This includes breaking silos and better process orchestration.
Camunda CTO Daniel Meyer explains how recent generative and agentic AI advances are infusing new importance into BPMN and DMN standards. This combination will make it easier to increase straight-through processing and build trust and compliance in processes spanning multiple enterprise apps.
A recent Gravitee survey has seen a significant uptick in agentic AI investments that promise a new tier of automation tooling. Linus Hakansson, Chief Product Officer at Gravitee, explains why governance will be essential for building the AI we want, even at this early stage.
At the Nutanix.NEXT conference, the company announced progress to obviate the hypervisor, extend its storage partnerships, and validate more AI.
SAS has been applying governance to business rules workflows for over a decade. Now it is re-tooling this infrastructure for AI agents.
SAS is combining advanced analytics tools with Unreal Engine to improve realistic digital twins for manufacturing. This is an important step towards democratizing advanced analytics across the enterprise.
Salesforce introduces Enterprise General Intelligence framework for guiding more practical conversations in the enterprise. It includes an important place for humans and supporting infrastructure.
Tools that accurately transcribe speech to text are essential in many business processes. Yet building a trustworthy and efficient workflow can be a fraught process. How might these be re-imagined for the gen AI age?
