Dataiku

Wisr built an AI agent in Dataiku to speed up loan reviews and free up expert time. Now, business development managers get fast, consistent answers and senior assessors save up to 30 hours a month — helping them focus on high-value deals. See how they scaled smarter lending: https://lnkd.in/exdi9GWQ #DataikuFrontrunnerAwards #AIAgents

"It's not just the technology, it's about the outcomes of that technology." Mark Booth, CIO of Perdue Farms, shares why the next generation of AI leaders must master the full ecosystem: data, business impact, and empowering teams to act. Get more insights from CIOs in our partnered report with The National CIO Review! ➡️ https://bit.ly/4p8nYbL #CIOLeaders #GenAI

Everyone who’s tackled an RFP or RFI knows the pain: questions that depend on answers 15 pages apart, and information scattered across multiple docs. Most AI systems crumble under that complexity — and it’s exactly why we revisited how agentic systems should work. This just-released technical article breaks down: - Why workflows hit a ceiling on Multi-Hop & Multi-Turn tasks - How agentic systems handle complexity with flexibility - Why data navigation (not retrieval) is the real game-changer Give it a read here: | https://lnkd.in/ecx4UPmM | #AIAgents

AI agents are everywhere. Control? Not so much. When agents act autonomously, governance can’t be an afterthought. You need control at every level, built into daily workflows, like Chad Kwiwon Covin says in the video below. But most orgs aren’t there yet: - 95% of data leaders can’t fully trace AI decisions - 52% have blocked an agent rollout due to explainability gaps See what else 800 leaders confessed in our "Global AI Confessions Report" → https://lnkd.in/eGCPBNqv #AIAgents #AIConfessions

Sales teams have enough dashboards. Now they need real-time answers. Join us December 11, 11am-12pm EST, to see how Dataiku’s Dynamic Selling Assistant agent turns fragmented sales data into smarter recommendations, optimized pricing, and higher revenue. #AIAgents #AISelling Save your spot → https://bit.ly/4oyEiRV

Fragmented tools, inconsistent logic, and rising compliance pressure still hold many analytics teams back. That’s why leaders are turning to Dataiku + Snowflake to unify analytics, strengthen governance, and scale GenAI and AI agents with confidence. Our new blog breaks down the four strategic advantages of this joint architecture, from bringing AI to the data to accelerating end-to-end workflows. The result: centralized, governed analytics that control risk and cost. Explore the full breakdown: https://lnkd.in/emuhKm9b

AI agents are exploding across the enterprise, but rapid experimentation has created an AI Wild West of duplicated work, unmanaged risk, and low visibility. Leading orgs are now building an AI Main Street: a governed, connected, scalable ecosystem where agents are trusted, explainable, and delivering real business impact. Our latest blog breaks down how Dataiku’s Agent Hub turns scattered prototypes into enterprise-grade, reusable, auditable agents built for controlled innovation at scale. Dive in to see the path from Wild West to Main Street: | https://lnkd.in/eejaJeGb | #AIAgents

Thanks, Rebecca Buckman, for sharing Battery Ventures’ latest State of Enterprise Tech Spending report. Key takeaways — agentic AI is moving into production, at scale: • 33% of organizations already run agentic AI, with another 48% planning to within 12 months • Nearly 60% of enterprises expect autonomous workflows in the next two years Yet, as enterprises scale, the focus shifts to production use cases that deliver clear business value. We’re seeing the same momentum with our customers. SoftBank is projecting 250,000 seller hours reclaimed as agents structure every customer conversation, and European Air Transport (DHL) has seen 80x efficiency gains by turning complex documents into near real-time insights. Agents are quickly becoming a new operational layer, and enterprises need a governed and centralized platform to run them reliably. Read the full report below!

It’s the most wonderful time of the year … to read the Dataiku Digest. ✨ Here’s what’s in store in our December edition: • AI agents that go beyond dashboards for fast, explainable, and self-service BI • Strategies to orchestrate AI agents across legacy & modern systems • A 5-step playbook to fix data quality  • How SoftBank rebuilt its sales model with AI agents and are projected to save 250,000+ hours Check out the full issue below.

AI is rapidly moving from analytics → models → autonomous agents, and the risks are multiplying just as fast. New BARC research shows that without unified governance across data, models, and agents, productivity gains collapse under toxic outputs, biased decisions, or even subversive agent behavior. To keep AI aligned with business goals, organizations need modern governance spanning: DataOps: Trusted, accurate, compliant data ModelOps: Transparent, monitored, bias-managed models AgentOps: Safe decisions, controlled actions, and guardrails against misuse See how leaders are modernizing governance for the agentic era in this report from BARC. https://bit.ly/4poTGBS #AIGovernance #AIAgents