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As the agentic AI market matures, where does IBM believe it has the biggest opportunity to stand out? Ricardo, Jukka and Tamara point to IBM's ethical stance and trust as an organisation, a genuinely hybrid and open approach that integrates with any technology, and the growing importance of sovereignty — deploying wherever, and however, customers need to. Part of our panel discussion with IBM on AI agents and the future of work. #IBM #AgenticAI #DataSovereignty #EnterpriseAI #DeeperThanBlue
What will look surprisingly primitive about today's approach to AI in just two years' time? Our panel gets out the crystal ball — covering FinOps and token cost control, the rise of context and data preparation as the next competitive battleground, maturing agentic security and agent identity, the return of AI ethics, and why edge AI could be a much bigger deal than anyone's currently planning for. Part of our panel discussion with IBM on AI agents and the future of work. #FutureOfAI #AgenticAI #FinOps #EdgeAI #IBM #DeeperThanBlue
Ultimately, no one invests in AI because they want impressive technology — they want business outcomes. IBM's Mark explains why measuring AI value goes beyond cost savings to expanding your total addressable market, with a great example of a customer service business that used AI to grow capacity by 40% without compromising quality. Tamara also shares how Ask HR and Ask IT have delivered measurable, and less tangible, value across IBM. Part of our panel discussion with IBM on AI agents and the future of work. #AIROI #BusinessValue #AgenticAI #IBM #DeeperThanBlue
How do you make an AI agent trustworthy enough to put into production — and what happens when it gets something wrong? IBM's Mark and Tamara explain why guardrails and governance actually create the freedom to innovate, why an agent is a tool and not a "god-like creature", and share a brilliant analogy: think of AI like a car, built to regulation, tested, and monitored throughout its life. Part of our panel discussion with IBM on AI agents and the future of work. #TrustInAI #AgenticAI #AIGovernance #IBM #DeeperThanBlue
As every software vendor embeds their own AI agents — from CRM to ERP — how important is interoperability really? DeeperThanBlue's Tony and Chris share the systems integrator's perspective: why robust, regulatory-compliant processes matter more than raw speed, and why secure, confident access to your data and applications is critical to actually realising AI's benefits. Part of our panel discussion with IBM on AI agents and the future of work. #SystemsIntegration #AgenticAI #Interoperability #DeeperThanBlue #IBM
Will one platform ever do everything in agentic AI? IBM's Ricardo says absolutely not — large customers already use six, seven or eight different agent development platforms, and that number is only going to grow. He explains why IBM's strategy is built around openness and integration rather than trying to own the whole stack. Part of our panel discussion with IBM on AI agents and the future of work. #AgenticAI #AIStrategy #IBM #EnterpriseAI #DeeperThanBlue
Control plane. AgentOps. The terms are everywhere, but what do they actually mean? IBM's Jukka gives a clear, simplified explanation: it's the place where you enforce the policies, guardrails and regulatory controls that keep your AI agents behaving as intended. Tamara adds why visibility and cataloguing always has to come first — you can't govern what you don't know about. Part of our panel discussion with IBM on AI agents and the future of work. #AgenticAI #ControlPlane #AgentOps #IBM #watsonxGovernance
Once organisations move from one or two AI agents to dozens or hundreds, built across different teams and technologies, a management problem appears fast. IBM's Ricardo and Jukka explain what problem watsonx Orchestrate was actually built to solve — and why the story has moved on from pure orchestration to full lifecycle control plane capabilities: observability, evaluation, optimisation, FinOps and security. Part of our panel discussion with IBM on AI agents and the future of work. #watsonxOrchestrate #AgenticAI #IBM #AIOrchestration #DeeperThanBlue
Where are AI agents already replacing work that used to require a person? DeeperThanBlue's Tony shares real examples from 24/7 support — where agents now trawl error logs, pull similar tickets and draft resolutions before an engineer even picks up the phone — plus how AI-assisted development is transforming app modernisation projects. Part of our panel discussion with IBM on AI agents and the future of work. #AIAgents #AgenticAI #ITSupport #AppModernisation #DeeperThanBlue
Do "human in the loop" and "human at the helm" still hold true in the age of agentic AI? IBM's Tamara and Jukka explain why the answer is yes — but with nuance. From EU AI Act risk classifications to hiring processes and deterministic workflows, they break down when full autonomy makes sense, when it doesn't, and how IBM's control plane can automatically invoke a human even when one wasn't explicitly built into an agent's design. Part of our panel discussion with IBM on AI agents and the future of work. #AgenticAI #HumanInTheLoop #AIGovernance #IBM #EUAIAct #DeeperThanBlue
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