AUSTIN,
Texas, May 21, 2024 /PRNewswire/ -- data.world,
the enterprise data catalog and governance platform purpose-built
for your AI future, proudly announces the full rollout of its AI
Context Engine™, set to redefine how businesses interact with their
data. Previously announced in Private Preview, the AI Context
Engine uniquely connects LLMs with organizational data and business
context to deliver more accurate, explainable, and governed
responses. This milestone underscores data.world's commitment
to fostering trust in data and accelerating the adoption of AI
applications and experiences.
"We will roll out these capabilities
and realize our vision in months; without data.world, we'd be
looking at years."
Data Experiences Are Changing, but LLMs Lack Business
Context
Many teams want to benefit from the rapid advancements in
generative AI, but few have unlocked a way to actually do so.
People are starting to use tools like ChatGPT to confer with the
internet's data, but most organizations have yet to successfully
move beyond experimentation to implementation for chatting with
their own data. LLMs lack the necessary contextual
understanding to interpret structured data accurately, leading to
potential errors in understanding business terms and relationships,
and their opaque decision-making processes undermine end-user
trust.
The AI Context Engine
With the AI Context Engine, a team member can ask their data
complex questions like: "How does our organization define 'current
retention rate,' and how have these rates changed over the last
five years?"
Incorporating business context and data into generative AI
experiences is now easier than ever. The AI Context Engine is built
on data.world's knowledge graph architecture, which connects
metadata, processes, policies, people, and systems into a language
AI can understand. As a result, LLMs powered by a knowledge graph
are 4.2 times more accurate than those relying solely on SQL
databases. Teams that use generative AI can finally have confidence
in the answers and insights from their own structured data.
From speed to insight, to capturing additional revenue, to
complying with auditing and traceability requirements, teams are
already seeing results with the AI Context Engine – a platform that
sits at the forefront of AI innovation.
The Customer Perspective
Vip Parmar, the Global Head of Data at WPP, said: "Enabling all
of our colleagues to interact with our data applications and
services in a natural way, is a vision that unlocks our data for
creative use, irrespective of skills and specialisms. The AI
Context Engine bridges the gap from discovery to use, seamlessly
and effectively. We will roll out these capabilities and realize
our vision in months; without data.world, we'd be looking at
years."
Cris Hadjez, Senior Director of
Data Governance at Norwegian Cruise Lines, said: "The AI Context
Engine from data.world is powering the future of Norwegian Cruise
Line by producing insights through GenAI that enable us to deliver
a positive customer experience. With the AI Context Engine, we're
accelerating implementations. Most importantly, we can demonstrate
what the data is doing and how the LLM is generating responses --
this level of explainability significantly improves trust and
accelerates the adoption of AI."
Why the AI Context Engine?
Chatting with your internal data isn't brand new functionality.
But to date, explainability has not been available on the
market. Where once there was a black box, there is now a detailed
explanation of an LLM's path to response. Explainability is useful
for organizations that need to replicate LLM results for business
or regulatory purposes.
The AI Context Engine also allows for higher levels of LLM
response accuracy than has previously been seen on the market.
According to Gartner, over 80% of enterprises will deploy
generative AI in production by 2026. Yet many businesses struggle
to integrate AI with their own unique data, leaving critical
insights untapped. Current market solutions have been hit or miss
when it comes to accuracy – until the launch of The AI Context
Engine.
Similar tools lack either the capability to build custom AI
applications altogether, or require teams to arduously train AI
models and build disparate, non-reusable, one-off applications. The
AI Context Engine integrates into AI apps and experiences in a way
that is repeatable and scalable.
More specifically, here's what teams are doing with The AI
Context Engine:
- Enabling meaningful chat experiences with organizational
data: With high accuracy and explainability, people
without technical data skills can have insightful and trustworthy
data conversations.
- Creating advanced applications and experiences leveraging
rich business context: Build sophisticated AI-powered apps that
enhance productivity and innovation.
- Utilizing robust governance capabilities: Approve
questions and answers with auditability and traceability, helping
compliance with business and regulatory requirements.
To schedule a demo of the AI Context Engine™ today, get in
touch.
About data.world:
data.world is the data catalog platform built for your AI
future. Its cloud-native SaaS platform combines a consumer-grade
user experience with a powerful knowledge graph to deliver enhanced
data discovery, agile data governance, and actionable insights. Get
fast, trusted access to your company's knowledge when you create
AI-powered data experiences with the AI Context Engine™. data.world
is a Certified B Corporation and public benefit corporation and
home to the world's largest collaborative open data community with
more than two million members, including ninety percent of the
Fortune 500.
Media Contact: Liz Elfman,
liz.elfman@data.world
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SOURCE data.world