Dataiku Enables Generative AI-Powered Chat Across the Enterprise
25 Abril 2024 - 9:17AM
Dataiku, the platform for Everyday AI, today announced Dataiku
Answers, a new way for data teams to build Generative AI-powered
chat using retrieval-augmented generation (RAG) at enterprise
scale. With Dataiku Answers, teams can select their large language
model (LLM) of choice, feed it their organization’s proprietary
data through RAG techniques, and build tailored AI chatbots for all
departments across their organization.
Many companies have blocked access to public LLMs like ChatGPT
due to security and compliance risks, preventing employees from
taking advantage of the benefits of Generative AI for day-to-day
use. Even when employees do have access, mainstream LLMs lack the
power to query an organization's proprietary data, making insights
unreliable and considerably limiting enterprise value for chat
applications. Dataiku Answers solves these challenges by enabling
data teams to easily build RAG-based chatbots fueled by proprietary
content to deliver accelerated insights into enterprise data and
knowledge. The result is many secure, governed, and scalable
conversational AI chatbots that contextualize information and
produce relevant and reliable answers to an organization’s unique
set of questions.
“Every organization can and should be using Generative AI to
streamline operations and work smarter, and data leaders need to be
able to build these applications with the right level of
transparency and reliability to mitigate risk at the right speed,”
said Sophie Dionnet, Global VP, Product and Business Solutions, at
Dataiku. “With Dataiku Answers, we take the conversational
experience of ChatGPT and the accuracy afforded by RAG to equip
data leaders with the enterprise-grade security, control, and
visibility required for smart and responsible innovation.”
Because Dataiku Answers sits on top of the Dataiku LLM Mesh
framework, data teams can connect to preferred LLM vendors like
Anthropic, AWS Bedrock, Azure, Databricks, Google Vertext, OpenAI,
and more, as well as vector stores like Pinecone, to build their AI
chatbots. Alternatively, they can use self-hosted LLMs. From there,
they easily build RAG pipelines to give the chatbot access to
proprietary content so that its answers are accurate and tailored
to the organization. The Dataiku LLM Mesh has dedicated components
for AI service routing, personally identifiable information (PII)
screening, LLM response moderation as well as performance and cost
tracking, allowing for trusted GenAI deployment.
“Data leaders have been asking how they can deploy RAG-powered
chatbots more easily throughout their organizations. Dataiku
Answers already addresses this need for more than 20 global
retailers, manufacturers, and other organizations. In a matter of a
few weeks, we have seen them meet a variety of needs from opening a
company-wide LLM chat to their corporate documents down to creating
domain-specific chatbots for investor relations, procurement,
sales, and other teams,” said Dionnet. “Employees can ask questions
just as they would of ChatGPT and feel confident they are getting
reliable responses. Meanwhile, data teams get complete visibility
and control over usage, costs, and quality. Everyone wins.”
Dataiku Answers is now available. For data experts looking to
leverage the potential of Generative AI while maintaining
enterprise-grade security and control, register to attend the demo
on May 21 on how to quickly build an effective Generative AI-based
chatbot with Snowflake and Dataiku Answers.
About Dataiku
Dataiku, the platform for Everyday AI, enables data experts and
domain experts to work together to build data into their daily
operations, from advanced analytics to Generative AI. Founded in
2013, Dataiku has proven its ability to continue to develop its
founding vision for Everyday AI and to execute on its growth.
Boasting over 600 customers, including 200 of the Forbes Global
2000, and a dedicated workforce of over 1,000 employees, Dataiku
takes pride in its rapid expansion and pivotal role in empowering
enterprises to harness the full potential of data, analytics, AI,
and Generative AI.
Connect with Dataiku through their blog, Twitter/X, LinkedIn,
and YouTube.
Rebecca Shomair
Dataiku
press@dataiku.com