EP 23 | From Poker Tables to Boardrooms: AI, Risk, and Business Communication with David Daneshgar

In high-stakes environments like professional poker and startup entrepreneurship, precision, timing, and strategy are everything. And nobody knows that better than David Daneshgar. In this episode of The AI Forecast, we’re joined by David Daneshgar, a World Series of Poker champion and now Co-founder and CEO of Whippy, a company using AI to transform how businesses communicate with their customers.

ICYMI: Databox's Biggest Update Yet | 2025 Keynote Highlights

In case you missed it… we just launched the glow-up your dashboards have been waiting for. You can now: Prepare your data for better analysis later Build any metric you need with multiple dimensions Drill down to row-level data Break down Databoards and metrics by specific dimensions Oh, and you can try all of the features for free.

What's New in ClearML v3.25: Vector Database support, Smarter Orchestration, and UI Enhancements

ClearML v3.25 introduces native support for vector databases within the Hyper-Datasets feature. This release enables users to store and search embeddings directly inside ClearML, opening the door to powerful custom RAG pipelines. In addition, v3.25 includes expanded orchestration metrics, new Application Gateway UI, and a range of UI upgrades to streamline day-to-day operations.

The Future of AI Agents is Event-Driven

This article originally appeared on BigDataWire on Feb. 26, 2025. Artificial intelligence (AI) agents are set to transform enterprise operations with autonomous problem-solving, adaptive workflows, and scalability. But the real challenge isn’t building better models. Agents need access to data and tools as well as the ability to share information across systems, with their outputs available for use by multiple services—including other agents.

ETL Consulting: The Backbone of Data Integration

In an era where big data is often referred to as the “new oil,” extracting value from raw information is more critical than ever. However, this process is far from straightforward. Organizations today deal with data sprawled across SaaS platforms, on-prem systems, databases, CRMs, and countless APIs. Making sense of it requires powerful and reliable Extract, Transform, Load (ETL) capabilities — and that's where ETL consulting services become indispensable.