Reimagining work: How Pythian’s internal AI playbook delivers customer ROI

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

When Pythian rolled out Google Cloud’s Gemini Enterprise across our 500-person company in 27 countries, the goal was simple: use our own company as a proving ground to discover how enterprise AI actually delivers ROI. What we found changed our strategy entirely. Since the rollout of Gemini Enterprise and our previous enterprise AI deployments, Pythian …

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Enterprise AI’s real risk isn’t autonomous agents. It’s the complexity between them.

by AI Generated Robotic ContentAI/ML NewsPosted on Comments are Disabled

Presented by Gravitee Agent complexity is the insidious shadow lurking inside enterprises right now that needs a light shone on it. That’s because enterprises don’t deploy a single agent and watch it run, they deploy fleets, each one calling APIs, calling other agents, reaching into applications that were never built with a machine decision-maker in …

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PROOF-Gen: From Optimized Data to Better Distillation

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Supervised fine-tuning on teacher-generated trajectories is the standard first stage for distilling tool-calling capabilities into deployable models. Post-training pipelines that drive shipped tool-calling agents re-run this stage on a daily or weekly cadence, paying the frontier-teacher cost each cycle, yet the mechanism is generate-and-filter (keep the teacher’s passing trajectories, discard the rest) and each cycle …

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Evaluate any agent framework with Amazon Bedrock AgentCore Evaluations

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AI teams building production agents face a frustrating asymmetry: the diversity of agent frameworks keeps growing, but evaluation tooling has not kept pace. Most evaluation systems assume you built your agent in a specific way: a specific SDK, a specific large language model (LLM) client, a specific tracing pattern. The moment you step outside that …

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FinOps for the AI era: New flexible billing and cost controls for agents

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Editor’s note: A product image was updated after initial publication. As AI takes on more complex work, business leaders face a new challenge: enabling rapid innovation using agents while protecting their margins and budgets. To get a real return on AI, financial operations (FinOps) and cost management must evolve alongside technology, giving you clear visibility, …

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Orchestration is the new challenge for CX in the age of AI agents

by AI Generated Robotic ContentAI/ML NewsPosted on Comments are Disabled

Presented by Tata Communications Enterprises are deploying AI agents, voice AI, and automation across messaging, voice, and digital channels faster than the architecture meant to support it. Most of that deployment has involved attaching conversational AI to legacy systems never built for it, says Gaurav Anand, global head of the Customer Interaction Suite at Tata …

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