Dataiku, the platform for Everyday AI, today announced breakthroughs in generative AI enterprise applications, safety and tooling. Developed from the invaluable experience gained from working with over 500 customers, these innovations push beyond the boundaries of traditional chatbot functions and unlock the potential for meaningful, real-world enterprise applications. Dataiku’s announcement arrives at a pivotal moment after Gartner® found that “70% of organisations [are] currently in exploration mode with generative AI” while KPMG found that 90% of enterprise executives are harbouring concerns.
“We’ve seen hundreds of our customers exploring how to better leverage generative AI. Most have started to compile a list of potential use cases and evaluate them through the prism of feasibility, business impact, and risks. We’ve distilled the top use cases which are real, actionable and repeatable today, on our platform. The companies that succeed at this today are going to be out of reach of their competitors a year from now. This is the moment when the future winners are decided. It’s exciting for Dataiku to be part of it,” said Florian Douetteau, Co-Founder of and CEO at Dataiku.
Fueling Real Applications at Scale with the Generative AI Use Case Collection
Dataiku’s newly released Generative AI Use Case Collection is a leap forward in applying generative AI in the enterprise. Having identified common design patterns for the application of generative AI, Dataiku has built an initial batch of 16 generative AI use cases that apply this revolutionary technology to real business needs. This new approach will allow enterprises to move out of an artisanal approach of building custom generative AI projects and into the industrial-scale development and deployment of these use cases, moving out of the research lab and into the corporate office.
Examples in the generative AI use case collection include:
- Predictive Maintenance Data Explorer. Privacy-preserving, automated generation of insights into the performance of factory machines
- LLM-Enhanced Next Best Offer. Legal-approved, automated generation of promotional emails, including highly accurate product recommendations
- IT Support Advisor. Always-accurate assistants that query complex policy documents and contracts, accelerating the work of support agents
Readying Enterprise for Coming AI Regulation with an Actionable Framework
With the arrival of a wave of policy proposals seeking to protect both workers and consumers from potential harms of AI such as the U.S. Blueprint for an AI Bill of Rights and the EU AI Act, Dataiku is announcing its RAFT (Reliable, Accountable, Fair and Transparent) Framework for Generative AI use cases. Based on years of pioneering work on responsible AI with the compliance, risk, and ethics teams at some of the world’s largest companies, the framework provides actionable steps that enterprises can take now to be ready for future regulation. Taking into account enterprise realities and the input of experts in public policy, digital ethics and AI bias, the framework balances the need to move quickly on AI while doing so safely and responsibly.
Turning Prompt Engineering into Enterprise Activity
“Popular imagination is hung up on a naive and limited vision of generative AI’s potential. Simply put, you are not going to transform the way that an enterprise performs through one-off questions and answers to a chatbot. Real applications will see Generative AI being woven into a company’s data and machine learning workflows,” said Clément Stenac, Co-Founder of and CTO at Dataiku.
Dataiku is building on top of its latest product update, Dataiku 12, adding capabilities that will make that vision a reality. Dataiku’s Prompt Studio allows many more people to become highly-proficient prompt engineers, building reusable, enterprise-grade prompts that can be part of production data workflows. Prompt Studio is now available in limited preview.
Dataiku Uses Generative AI to Enable More Interesting, Data-Driven Jobs
Today, a business person needs to translate their business ideas into the data vocabulary of tables and columns. With generative AI, we can automate this translation in Dataiku, enabling an even wider population of users to play with data by talking to it.
Dataiku’s AI Prepare allows people with the widest possible range of skills to build production-ready data transformations, simply by typing what they want done to their data. This breaks down the last barriers between knowing what needs to be done and making it happen in enterprise databases and cloud environments. AI Prepare is now available in limited preview.
Resources and Availability
The Generative AI Use Case Collection and RAFT Framework are available today, you can access the applications and more at https://www.dataiku.com/product/generative-ai/.
The Prompt Studio and AI Prepare are now available in limited preview. Additional platform capabilities will become available in the coming months with more deeply-integrated features that collectively will be the picks and shovels used in the generative AI gold rush.
Archive
- October 2024(44)
- September 2024(94)
- August 2024(100)
- July 2024(99)
- June 2024(126)
- May 2024(155)
- April 2024(123)
- March 2024(112)
- February 2024(109)
- January 2024(95)
- December 2023(56)
- November 2023(86)
- October 2023(97)
- September 2023(89)
- August 2023(101)
- July 2023(104)
- June 2023(113)
- May 2023(103)
- April 2023(93)
- March 2023(129)
- February 2023(77)
- January 2023(91)
- December 2022(90)
- November 2022(125)
- October 2022(117)
- September 2022(137)
- August 2022(119)
- July 2022(99)
- June 2022(128)
- May 2022(112)
- April 2022(108)
- March 2022(121)
- February 2022(93)
- January 2022(110)
- December 2021(92)
- November 2021(107)
- October 2021(101)
- September 2021(81)
- August 2021(74)
- July 2021(78)
- June 2021(92)
- May 2021(67)
- April 2021(79)
- March 2021(79)
- February 2021(58)
- January 2021(55)
- December 2020(56)
- November 2020(59)
- October 2020(78)
- September 2020(72)
- August 2020(64)
- July 2020(71)
- June 2020(74)
- May 2020(50)
- April 2020(71)
- March 2020(71)
- February 2020(58)
- January 2020(62)
- December 2019(57)
- November 2019(64)
- October 2019(25)
- September 2019(24)
- August 2019(14)
- July 2019(23)
- June 2019(54)
- May 2019(82)
- April 2019(76)
- March 2019(71)
- February 2019(67)
- January 2019(75)
- December 2018(44)
- November 2018(47)
- October 2018(74)
- September 2018(54)
- August 2018(61)
- July 2018(72)
- June 2018(62)
- May 2018(62)
- April 2018(73)
- March 2018(76)
- February 2018(8)
- January 2018(7)
- December 2017(6)
- November 2017(8)
- October 2017(3)
- September 2017(4)
- August 2017(4)
- July 2017(2)
- June 2017(5)
- May 2017(6)
- April 2017(11)
- March 2017(8)
- February 2017(16)
- January 2017(10)
- December 2016(12)
- November 2016(20)
- October 2016(7)
- September 2016(102)
- August 2016(168)
- July 2016(141)
- June 2016(149)
- May 2016(117)
- April 2016(59)
- March 2016(85)
- February 2016(153)
- December 2015(150)