Cognitive Synthesis and Neural Athletes
As AI accelerates innovation and adoption, leaders are facing rising cognitive load, shifting systems, and new emotional realities inside their organizations. In this episode, Deloitte’s Chief Innovation Officer Deborah Golden joins us to explore how AI is reshaping leadership, why vulnerability and empathy are critical in this moment, and how anti-fragility, not just resilience, will define the future of work.
Featuring:
Deborah Golden – LinkedIn
Chris Benson – Website, LinkedIn, Bluesky, GitHub, X
Daniel Whitenack – Website, GitHub, X
Links:
Deloitte
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Agentic AI and A2A in 2025: From Prompts to Processes
Agentic AI represents the next phase beyond generative AI, promising systems that not only generate content but also take autonomous actions within business processes. In a conversation recorded at Google Cloud Next, Kevin Laughridge of Deloitte explains that businesses are moving from AI pilots to production-scale deployments. Agentic AI enables decision-making, reasoning, and action across complex enterprise environments, reducing the need for constant human input.
A key enabler is Google’s newly announced open Agent2Agent (A2A) protocol, which allows AI agents from different vendors to communicate and collaborate securely across platforms. Over 50 companies, including PayPal, Salesforce, and Atlassian, are already adopting it. However, deploying agentic AI at scale requires more than individual tools—it demands an AI platform with runtime frameworks, UIs, and connectors. These platforms allow enterprises to integrate agents across clouds and systems, paving the way for AI that is collaborative, adaptive, and embedded in core operations. As AI becomes foundational, developers are transitioning from coding to architecting dynamic, learning systems.
Learn more from The New Stack about the latest insights about Agent2Agent Protocol:
Google’s Agent2Agent Protocol Helps AI Agents Talk to Each Other
A2A, MCP, Kafka and Flink: The New Stack for AI Agents
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Deloitte’s Nitin Mittal on the Secrets of 'All-In' AI Success - Ep. 188
Artificial intelligence is the new electricity. The fifth industrial revolution. And companies that go all-in on AI are reaping the rewards. So how do you make that happen?
That big question — how? — is explored by Nitin Mittal, Principal at Deloitte, one of the world’s largest professional services organizations, and co-author Thomas Davenport in their new book "All-In On AI: How Smart Companies Win Big with Artificial Intelligence.”
On the latest episode of NVIDIA’s AI Podcast, host Noah Kravitz speaks with Mittal, who leads Deloitte's artificial intelligence growth platform spoke about how companies across a wide variety of industries used AI to radically transform their organizations and achieve competitive advantage.
The book, from the Harvard Business Review Press, explores the importance of a company-wide commitment to AI and the role of leadership in driving the adoption and implementation of AI. Mittal emphasizes that companies must have a clear strategy and plan, and invest in the necessary technology and talent to make the most of AI.
A Conversation with Beena Ammanath
Beena Ammanath is an Executive Director at Deloitte with a focus on AI, including how to make artificial intelligence "trustworthy." In this episode, Jonathan and Beena talk about artificial intelligence in general, what it means to be trustworthy and why you can't use a single example to cover all AI applications.
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