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How AI lets you talk to your company's data and get answers instantly

Mar 5, 2026 By Elastic In Elastic
In this conversation recorded at Elastic’s New York office, three product leaders discuss how AI agents are transforming enterprise software. The discussion features Steve Kearns (general manager, Search solutions at Elastic), Mike Nichols (general manager, Security solutions at Elastic), and Baha Azarmi (general manager, Observability at Elastic). They explain how Elastic Agent Builder allows teams to interact with their data using natural language instead of complex queries.
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How LLMs can help boost productivity

Mar 5, 2026 By Elastic In Elastic
Learn how large language models (LLMs) are transforming productivity in business, coding, research, and daily workflows. Discover practical ways to use AI tools to automate tasks and improve efficiency. Additional Resources: About Elastic Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform — the development platform used by thousands of companies, including more than 50% of the Fortune 500.
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honeycomb

Your Questions About AI-Assisted Development Answered

Mar 5, 2026 By Austin Parker In Honeycomb
We recently hosted a webinar on AI-assisted development with DORA, and the audience had a lot of questions—far more than we could get to in an hour. I picked out six that get at the stuff people are wrestling with day to day. These aren't the easy questions, and I don't think there are necessarily easy answers, but I've spent the past year building and shipping with AI coding tools and observing (literally) what happens when that code hits production. Here's what I have.
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Scaling AI Workflows With Proxy Infrastructure

Scaling AI Workflows With Proxy Infrastructure

Mar 5, 2026 By OpsMatters In OpsMatters
AI workflows require consistent access to diverse data sources to maintain accuracy. How do teams guarantee that their systems do not go dead when rate limits are reached? The scaling of these processes is based on a stable connection layer that eliminates interruptions during retrieval. Writers are likely to have difficulties with their automated scripts triggering blocks on social sites. This article discusses the process of establishing a trustworthy machine learning and automation environment.
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The Future is Faceless: Why Stock Footage is Dying in 2026

The Future is Faceless: Why Stock Footage is Dying in 2026

Mar 5, 2026 By OpsMatters In OpsMatters
Remember the last time you searched for "diverse business team laughing at laptop" on a stock footage site? You scrolled past the same forced smiles, the same generic office backgrounds, and the same overacted "eureka" moments that have been circulating for a decade. Then you paid a subscription fee for the privilege of looking like every other brand on the planet. That era is ending. In 2026, stock footage is dying-not because we need fewer visuals, but because creators have finally found something better: total creative freedom without the cheesy middleman.
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sumologic

Skills vs. MCP: You're probably reaching for the wrong one

Mar 4, 2026 By David Girvin In Sumo Logic
Everyone is adding Model Context Protocol (MCP) servers to everything right now. And I get it. MCP is clean. It’s standardized. You write a server, expose some tools, and suddenly your LLM can query your log platform, pull a dashboard, and fire an alert. It feels like the right abstraction. But I’ve watched teams at serious companies burn weeks building MCP integrations for workflows that should have been skills, and build skills for things that genuinely needed MCP.
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cloudzero

Inside Pandora's Box: How CloudZero AI Hub Cracks Cloud Cost Intelligence

Mar 4, 2026 By Larry Advey In CloudZero
Years in the FinOps trenches taught me one thing: The data has never been the problem. The data exists. It’s out there, scattered across provider invoices, buried in tagging gaps, locked behind dashboards that maybe three people in your org actually know how to navigate. The real problem? Nobody can get to it when they need it. Engineers ship features without understanding what they cost the business, let alone whether they improved margin.
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How does AI enhance search?

Mar 4, 2026 By Elastic In Elastic
Explore how artificial intelligence enhances search engines through semantic understanding, vector embeddings, and contextual retrieval. Learn how AI-powered search delivers faster and more accurate results. Additional Resources: About Elastic Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform — the development platform used by thousands of companies, including more than 50% of the Fortune 500.
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