Systems | Development | Analytics | API | Testing

Ep 78 | Mastering Enterprise AI: Why Some Projects Succeed While Others Fail

Jun 17, 2026 By Cloudera, Inc. In Cloudera
AI may be the most capable intern your organization has ever hired. However, interns still need guidance and clear direction. Enterprise AI is proving no different. In this episode of The AI Forecast, Paul Muller sits down with Michael Gray, CTO of Thrive, to explore the patterns and anti-patterns emerging from real-world enterprise AI deployments. Drawing on his experience helping organizations implement AI at scale, Michael offers a practical framework for evaluating AI maturity, helping leaders understand where adoption breaks down and what it takes to build momentum across the organization.
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multiplayer

The death of the dashboard: why agentic AI is choking on legacy observability tools

Jun 16, 2026 By Multiplayer In Multiplayer
Dashboards, sampling, and data lakes were built for human debugging. Closing the bug-to-fix loop for AI agents requires rethinking how runtime data is collected and correlated. Observability as we know it is on its way out. For over a decade, we built telemetry stacks around a single consumer: a human, staring at a dashboard, trying to make sense of a system under stress.
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smartbear

First look: Agents are coming to your favorite SmartBear products

Jun 16, 2026 By Manisha Talwar In SmartBear
AI is accelerating how teams build and ship software, but validating quality is getting harder, not easier. More AI-generated code means more to test, more API drift to catch, and more documentation that falls behind. The work is growing faster than teams can keep up.
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zymr

How to Build a Neobank App: A Step-by-Step Engineering Guide

Jun 16, 2026 By Suhas Phartale In Zymr
Digital banking is entering a different phase in 2026. Growth is no longer driven by mobile apps alone. It is being driven by embedded finance, AI powered personalization, instant payments, and API driven banking ecosystems. According to BCG, traditional banks are steadily losing ground to fintechs and digital first banking platforms as customer expectations continue to shift toward real time and seamless financial experiences. At the same time, the market is getting crowded.
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ably

Introducing AI Transport v0.2.0

Jun 16, 2026 By Mike Christensen In Ably
Version v0.2.0 of @ably/ai-transport reorganises the SDK to better support a wide range of interaction patterns. Everything in an AI session – input, output, agent lifecycle, control signals – is captured durably, allowing you to easily build the sophisticated interaction patterns that support modern AI user experiences. When we first built @ably/ai-transport, we modelled an AI conversation the way most people first picture it: as a request and a response.
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confluent

Build vs Buy Streaming for Real-Time RAG: 2026 Guide

Jun 15, 2026 By Manveer Chawla In Confluent
Moving a retrieval-augmented generation (RAG) prototype from a Python notebook into production isn't an API orchestration challenge. It's a distributed systems problem. For engineering managers and data platform leads, the build-versus-buy decision on streaming infrastructure will dictate your artificial intelligence (AI) feature velocity for the next three to five years. This guide assumes you've already prototyped a RAG pipeline.
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confluent

Build Compliant AI Agents With Stateful Stream Processing

Jun 15, 2026 By Manveer Chawla In Confluent
The EU AI Act's general provisions are already in force, and high-risk AI system obligations apply from August 2026. The National Institute of Standards and Technology (NIST) AI Risk Management Framework and its Generative AI Profile set the baseline for what auditors expect, framing governance around four functions: identify, measure, manage, and monitor. Deploying artificial intelligence (AI) agents in regulated environments isn't a sandbox experiment anymore. It's a strict governance challenge.
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