Everything to Know: AI Agents for Supplier Risk Assessment
Discover how the Supplier Management Assistant use case transforms procurement decision-making.| blog.dataiku.com
| The Dataiku Blog
Like any new technology, AI agents need to grow up. Their value isn’t in sheer numbers but in maturity: scaling the use cases that work best. That maturity comes through experimentation across the organization, combined with the visibility and measurement needed to separate the winners from the rest. Without this discipline, unchecked agent proliferation quickly devolves into sprawl, draining resources and multiplying risk instead of driving ROI.| The Dataiku Blog
In part one of this series, we introduced Model Context Protocol (MCP) as the “USB-C of AI,” a common standard that makes it easier for AI agents to connect with the tools and data you already use.| The Dataiku Blog
Discover how the Supplier Management Assistant use case transforms procurement decision-making.| blog.dataiku.com
This is a guest article from Alec Coughlin. Alec helps enterprise leaders cut through AI hype and agent washing to focus on what actually drives business value. He hosts “AI with Alec,” a podcast and thought leadership platform providing pragmatic guidance on enterprise AI transformation.| The Dataiku Blog
AÉSIO Mutuelle reinvented its data processes by automating workflows and empowering teams to break down silos with machine learning and AI. 2x Number of users within two years| The Dataiku Blog
In the early days of smartphones, every manufacturer had its own charger, meaning that if you switched phones, you also had to swap out all your accessories. It was frustrating, wasteful, and slowed adoption. The industry eventually solved this with a universal standard: the USB-C connector.| The Dataiku Blog
We’re at a new frontier in enterprise AI, as agents are no longer just clever chatbots or assistants that answer questions. They’re evolving into systems that interact with your data, automate decisions, run parts of your workflows, or engage your business specialists at the right time. That shift is exciting, but it also raises a familiar question with a new twist: Do you build, or do you buy?| The Dataiku Blog
In the last few years, we’ve seen AI evolve at breakneck speed, from large language models (LLMs) that generate text on demand to full-fledged AI agents capable of reasoning, orchestrating tools, and completing tasks end-to-end. For enterprises, this shift can transform entire business models, but only if evaluation practices keep pace.| The Dataiku Blog
The CIO role is no longer about just keeping systems running. It’s about guiding organizations through ambiguity, enabling responsible AI use at scale in the age of GenAI and agents and, increasingly, shaping digital ethics in real time.| The Dataiku Blog
With a strong MLOps foundation built with Deloitte and Dataiku, JLP is scaling trusted, high-impact AI across the business and exploring agentic AI.| blog.dataiku.com
Discover how modern Centers of Excellence can align with strategic priorities to deliver measurable business value and drive AI adoption in enterprises.| blog.dataiku.com
Discover how AI agents go beyond chatbots to take action, solve problems, and save time, empowering business users to build a competitive advantage.| blog.dataiku.com
Discover how modern CoEs drive lasting AI adoption with onboarding, training, and engagement strategies that scale.| blog.dataiku.com
Discover why we believe Dataiku is the AI platform of choice for enterprises around the world.| blog.dataiku.com
Now that Generative AI is more mainstream, what governance aspects have been brought to the table? What should analytics and IT leaders keep in mind?| blog.dataiku.com
Discover key reasons that fine-tuning is a game changer for LLMs and how fine-tuning in Dataiku offers accessibility, efficiency, and more.| blog.dataiku.com
Get a helpful overview of Dataiku's four-level framework for customizing an LLM's behavior for your use case (and how Dataiku can help you achieve them).| blog.dataiku.com
Integrate AgentOps, MLOps, DataOps, LLMOps, and monitoring in one platform with Dataiku and easily see the benefit versus fragmented tools.| blog.dataiku.com
Learn how IT leaders can scale analytics and AI by balancing speed and control, modernizing infrastructure, and ensuring trust and governance.| blog.dataiku.com
Discover how Dataiku empowers teams across industries to leverage AI, enhance efficiency, and unlock insights through innovative solutions and robust capabilities.| blog.dataiku.com
Discover a myriad of ways to take data preparation to the next level with Dataiku.| blog.dataiku.com
Discover how data lineage enhances root cause and impact analysis, ensuring your data workflows are robust and reliable in complex data environments.| blog.dataiku.com
Discover how AI agents are transforming manufacturing maintenance with intelligent automation, predictive insights, and real-time adaptability.| blog.dataiku.com
Discover why securing agentic applications needs a new approach. Learn how an LLM Mesh enables system-wide security at enterprise scale.| blog.dataiku.com
In the first blog of a three-part series from BARC, discover the risks and governance requirements of agentic AI.| blog.dataiku.com
Get the overview of the second episode of AI&Us Season 3, Guardians of AI Innovation, featuring leaders from FLOA and the City of Los Angeles.| blog.dataiku.com
This article gets tactical about the people, processes, and tech used to develop trustworthy AI, from verification & validation to auditing and reporting.| blog.dataiku.com
Discover how trustworthy AI drives frontline user adoption & manages risk, and uncover types of risk, harm, and bias and key attributes of trustworthiness.| blog.dataiku.com
Dataiku is recognized in the 2025 Gartner Critical Capabilities for Data Science & ML Platforms, Core Data Science report.| blog.dataiku.com
The blog discusses how CoE webinar highlights strategies for integrating governance into AI and self-service platforms, ensuring scalability and safety without hindering progress.| blog.dataiku.com
Discover the RAFT framework for responsible GenAI and how it can be applied to both traditional and GenAI systems.| blog.dataiku.com
Dataiku has expanded our ecosystem of LLM Mesh partners to address topics like model scanning, red teaming, data protection and privacy, and more.| blog.dataiku.com
Aviva used Dataiku to integrate clickstream data with customer feedback, gaining deeper insights, accelerating issue resolution, and improving efficiency.| blog.dataiku.com
Aviva partnered with Dataiku & TCS to scale AI, cut costs, streamline governance, & speed deployment, building a future-ready data science infrastructure.| blog.dataiku.com
Get an overview of where Dataiku fits in the NVIDIA Enterprise AI Factory, as well as a concrete example of building a visual agent in Dataiku.| blog.dataiku.com
Uncover the basics of Retrieval Augmented Generation, also known as RAG, and discover why enterprises are buzzing about its game-changing potential.| blog.dataiku.com
Discover how to navigate the tariff storm with these three powerful tools against tariff turbulence, enabled by Dataiku.| blog.dataiku.com
Dataiku Answers is a packaged, scalable web application. It democratizes enterprise-ready LLM chat and RAG usage across business processes and teams.| blog.dataiku.com
What do the shockwaves of DeepSeek mean for organizations scaling AI in the enterprise? Find out here.| blog.dataiku.com
How can CIOs ensure they lead their organization to an AI-enabled future? Discover key challenges to navigate, helpful next steps, and success stories.| blog.dataiku.com
Want to thrive in the age of AI agents? Discover the annual trends report from Dataiku and what you need to know to get ahead and stay ahead in 2025.| blog.dataiku.com
What steps can teams take to effectively fight the rise of shadow AI? Get three robust capabilities from Dataiku to quell your fears.| blog.dataiku.com
What happened in the world of generative AI in 2024? Check out our comprehensive recap that covers the infrastructure layer, foundational models, and more.| blog.dataiku.com
Discover four critical areas of AI risk (from GenAI to governance and more) and how Dataiku helps mitigate them across the entire AI lifecycle.| blog.dataiku.com
The LLM Mesh from Dataiku is here to help analytics and IT teams safely and efficiently build Generative AI models and services.| blog.dataiku.com
Get everything you need to know about Dataiku's EU AI Act Readiness Program, designed to help global organizations navigate its complexities.| blog.dataiku.com
OpenAI’s GPT-4o and other rapidly evolving models are reshaping the GenAI landscape. Learn how to navigate fast and effectively with Dataiku’s LLM Mesh.| blog.dataiku.com
Dataiku has been named a Leader for the third year in the Gartner Magic Quadrant for Data Science and Machine Learning Platforms. Get all the details here.| blog.dataiku.com
Tools like ChatGPT are powered by Language Models (LLMs). This article will explain what these models are, how they are developed, and how they work.| blog.dataiku.com
See how Dataiku, a 3x Gartner Magic Quadrant Leader, enables IT leaders to maintain tech optionality and agility with Dataiku.| blog.dataiku.com
Discover how we have reimagined Technoslavia, the diverse & previously fragmented picture of the world of data infrastructure, in the age of Generative AI.| blog.dataiku.com
See how IT teams and admins can easily monitor LLM cost and performance with the Dataiku LLM Mesh and LLM Cost Guard.| blog.dataiku.com
