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Why is AI struggling to discover new drugs?
A generation of start-ups have failed to live up to the hype. Executives are now betting that more powerful tools will crack the complexities of human biology Go to Source
Customized multi-agentic AI workflows made simple – Capgemini
Create AI agents and orchestrate workflows with Capgemini’s no-code self-service platform for multi-agent automation. Agentic AI and multi-agent AI systems making autonomous, intelligent decisions for organizations are set to transform business for years to come Go to...
Cognizant CEO Kumar: Agentic AI will create a reinforcing flywheel of ROI | Constellation Research Inc.
Cognizant CEO Ravi Kumar said agentic AI use cases can create a self-funding flywheel for enterprises starting with the software development cycle and moving through other processes. Speaking at the Goldman Sachs Communacopia + Technology Conference, Kumar laid out a...
How To Upgrade Your MCP Server With Context Engineering – The New Stack
Context engineering anchors AI agents to ground truth. So here's how to upgrade an MCP server to help agents find legit and sourced patterns. via: https://blog.jonudell.net/ Go to Source
The Case for Using Small Language Models
Small Language Models (SLMs) are redefining enterprise AI by offering faster, more efficient, and cost-effective solutions compared to Large Language Models (LLMs). Their compact design enables deployment on edge devices, allowing real-time decision-making without...
What’s the ROI of our AI? Here’s a Template
It’s not that hard to do a solid ROI analysis of the AI you’ve deployed. All you need are lots of data on AI usage and the suite of key performance indicators (KPIs) you’re interested in, combined with the analytic tools of the Credibility Revolution. Go to...
Agentic Design Patterns – Google Docs
A Hands-On Guide to Building Intelligent Systems Go to Source
The Four Archetypes of Platform Organizations – Boundaryless
Explore how successful organizations balance portfolio and platform strategies across 4 distinct archetypes. Learn to optimize decoupling and coherence for sustainable growth. Go to Source
Slash Agentic AI Costs by 10-30x: The Shift to Small Language Models (SLMs) – Sundeep Teki
Stop overspending on monolithic LLMs for agentic tasks. Learn why SLM-first architecture is more efficient, scalable, and economical. Your 6-step migration guide is inside. Go to Source
Agentic AI implementations in advanced industries | McKinsey
Discover how advanced industries are beginning to realize the promise of agentic AI, driving real-world implementations to boost efficiency, foster innovation, and stay ahead in a competitive market. Go to Source
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Recent Briefings
Collaborative Architectures for Agents, People & Machines
We are working on some innovative learning projects to help leaders understand what agentic AI could mean for their roles and their organisations, and to help with readiness for adoption; so I have been reading about overcoming barriers and blockers relating to...
The Growing Importance of Context Engineering for Leaders Adopting AI
We have been thinking a lot recently about how to help business leaders understand, direct and deploy AI in their organisations without needing to become technical domain experts. Traditional approaches to learning, change and technology adoption increasingly feel...
Will AI be ‘Winner takes it all’ or General Purpose Technology?
In a week where more than one leading LLM seems to be creaking at the seams, suffering capacity issues or even going backwards in terms of output utility, it is worth re-stating why we think it is worth focusing on enterprise AI over consumer AI, and why we think it...
Codifying Rulesets in the Explainable Enterprise
The launch of Kimi’s K2 model was perhaps the most noteworthy AI-related news item of the past couple of weeks, and an indicator of the growing investment efficiency gap between China and the United States. Azeem Azhar’s coverage of the model and its implications,...
Is Enterprise AI Ultimately Less Risky than Consumer AI?
The debate about AI risks and potential harms is starting to bifurcate into the kind of toxic polarisation we are now used to seeing in politics, economics and other areas of life, amplified by online echo chambers. In addition to technical critics like Gary Marcus,...
Can Learning Help Overcome the AI Capability-Absorption Gap?
We are reaching a curious time for enterprise AI adoption. Organisational AI readiness is advancing far slower than the technology, and yet more and more large firms are warning employees that their jobs are likely to disappear or be transformed by automation and...
Agentic AI Needs Strong Foundations
The respected American venture capitalist Mary Meeker recently shared her first internet trends report since 2019, focused on AI and its future. It runs to 340 slides (with center-aligned text … grrr!), so it takes time to absorb. But in addition to its meta-level...
New Models and Old Challenges
It has been a busy couple of weeks for analysts covering new AI launches, with some impactful new models and agentic systems being announced that add up to a significant advance in capabilities. Hot on the heels of announcing Gemini 2.5 Pro, Google announced AI Mode...
Making the Invisible Visible
There was a quiet but era-defining shift last week when Google searches in Safari declined for the first time as a result of more people switching to AI tools for finding information. This could have far-reaching consequences both for Google and also for Apple, who...
The AI Space Race Could Benefit us all, But Technology Adoption Takes Time
There was another important open model release this week, Alibaba’s QWEN 3, which seems to be an impressive release that relies on strong reasoning capabilities to bring up its benchmark scores. As Nathan Lambert explains, the variety of post-training methods being...