Financial institutions are moving fast on GenAI, but not always forward. While the promise is clear (faster investigations, smarter automation, better service), scaling GenAI responsibly remains elusive. Banks face unique constraints: legacy infrastructure, fragmented AI stacks, rising model complexity, and a regulatory environment where oversight is not optional.| The Dataiku Blog
Enterprises already run mission-critical systems on AI, which makes governance non-negotiable. As Generative AI (GenAI) and AI agents scale into broad deployment, they bring new risks that directly affect customers and core business processes, including hallucinations presented as fact, biased or offensive outputs, and exposure of sensitive data to adversarial attack.| The Dataiku Blog
Ask any data analyst or scientist where their time goes, and the answer is consistent: half of it is lost to searching for data assets, redoing work, and manually documenting datasets, models, and insights. Unfortunately, this is still the dominant reality of data work in 2025. For years, organizations have treated this as background noise, an unavoidable cost of doing analytics at scale. But the waste has become too significant to overlook. When 50% of expert time is consumed by administrati...| The Dataiku Blog
As the EU AI Act enters implementation, organizations developing (or “providing” in the Act’s parlance), using (or “deploying”), importing, and distributing high-risk AI systems will face new obligations set out in Sections 2 and 3 of the Act.| The Dataiku Blog
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
Every minute of unplanned downtime costs manufacturers thousands of dollars. Yet most teams are still flying blind when it comes to predictive maintenance.| The Dataiku Blog
This is a guest article from Kevin Petrie, VP of Research at BARC, a global research and consulting firm focused on data and analytics.| The Dataiku Blog
As organizations increasingly integrate large language models (LLMs) into their operations, it has become critical to ensure that these systems operate fairly and responsibly across diverse populations. As with any AI or ML application, LLMs in both agentic and non-agentic settings can inadvertently learn and reproduce historical biases based on their training data, creating systems that systematically disadvantage certain groups. Last year, for example, a study at Stanford University found e...| The Dataiku Blog
Your customer data is scattered across multiple martech systems and point solutions. Your team spends most of their time manually preparing data instead of generating insights. Your IT department has a backlog for analytics requests that stretches for months.| The Dataiku Blog
This is a guest article from Kevin Petrie, VP of Research at BARC, a global research and consulting firm focused on data and analytics.| The Dataiku Blog
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 three key recommendations to help teams build the data architecture that's right for them.| blog.dataiku.com
Discover how Air Canada and RBC scaled AI to drive real business value through automation, governance, and empowering business users.| 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