Together we are stronger - Capgemini, agentic AI and human teaming
Striking the human-agent balance is going to be a goal for enterprises everywhere in the coming years...
Striking the human-agent balance is going to be a goal for enterprises everywhere in the coming years...
John Musser, founder of ProgrammableWeb, had a front-row seat to the birth of web mashups and the evolution of the API economy. Twenty years on, he says Model Context Protocol (MCP) is ushering in a similar paradigm shift for agentic AI – only faster. Pioneers of the API economy paradigm are finding new opportunities in the agentic AI economy.
ServiceNow reports strong Q2 2025 earnings with $3.113 billion in subscription revenue and 22.5% year-over-year growth, driven by enterprise AI adoption. The company also launched its new Agentic Workforce Management product that orchestrates human and AI collaboration.
Amidst the whirlwind of spring events, a few persistent AI vendors got my attention. How? By returning my email volleys with savvy responses and fresh data. The latest in enterprise AI? Context intelligence, agentic protocols - and why AI is a process accelerator: for better, or worse.
The agentic wars are still less than a year old, but some early adopters have battle scars to show already, as well as positive learnings for others to emulate.
To turn agentic AI from aspiration to scalable impact, Christian Pedersen of IFS argues that businesses must focus on three interconnected enablers — data, technology, and culture.
Marc Benioff has made Salesforce 'Customer Zero' in exemplifying the Digital Labor concept. Here's how it's working in practice...
AI spend is now strategic rather than tactical, but, despite the hype, organizations are moving carefully towards an agentic future,
At UiPath on Tour London, in his presentation and a detailed follow-up interview, Dr Ed Challis reveals why most organizations remain trapped in the "unrealized zone" between impressive technical capabilities and actual business value.
Two new pieces of research data on AI and agents - glass half full, glass half empty?
Databricks’ new tools signal a shift from AI demos to production-scale deployment - anchoring agentic AI in governance, observability, and enterprise control.
Pega is taking a contrarian approach to enterprise AI agents, arguing that workflow-based automation is more reliable than prompt engineering. The company's new Agentic Process Fabric uses AI reasoning during design time but switches to predictable execution at runtime, addressing technical debt and legacy modernization challenges that plague most enterprises.
What if the real AI problem isn’t necessarily the model - but the data? Databricks CTO Dael Williamson explains why scientific discipline, not scale, will separate the winners from the noise when organizations are saturated in data.