Confluent Unveils Data Streaming for AI to Simplify and Accelerate the Development of Real-Time AI Applications
26 Septembre 2023 - 3:00PM
Business Wire
New initiative will expand Confluent’s
partnerships and product capabilities to help companies build
real-time AI innovations with data streams
Confluent, Inc. (NASDAQ:CFLT), the data streaming pioneer, today
announced Data Streaming for AI, an initiative to accelerate
organizations’ development of real-time AI applications. Achieving
real-time AI demands more than fast algorithms; it requires
trustworthy, relevant data served in the moment for smarter, faster
insights. To help companies unlock the full potential of AI with
the freshest contextual data from across their business, Confluent
is expanding partnerships with leading companies in the AI and
vector database space, including MongoDB, Pinecone, Rockset,
Weaviate, and Zilliz. It is also demonstrating product innovations
that incorporate the latest advances in AI into its platform, with
capabilities like a generative AI-powered assistant that helps
generate code and answer questions about the data streaming
environment.
“Data streaming is foundational technology for the future of
AI,” said Jay Kreps, CEO and Cofounder, Confluent. “Continuously
enriched, trustworthy data streams are key to building next-gen AI
applications that are accurate and have the rich, real-time context
modern use cases demand. We want to make it easier for every
company to build powerful AI applications and are leveraging our
expansive ecosystem of partners and data streaming expertise to
help achieve that.”
While the promise of AI has been around for years, there’s been
a resurgence thanks to breakthroughs across reusable large language
models (LLM), more accessible machine learning models, and more
powerful GPU capabilities. This has sparked organizations to
accelerate their AI investments. However, a fundamental challenge
in modern AI is a lack of access to the relevant, real-time data
that AI applications need in a timely, secure, and scalable
way.
For the past decade, AI heavily relied on historical data,
integrated with slow, batch-based point-to-point pipelines that
rendered data stale and inconsistent by the time it arrived. That's
no longer adequate for the real-time AI use cases today's
businesses are trying to launch, like predictive fraud detection,
generative AI travel assistants, or personalized recommendations.
Compounding the problem are issues with poor data governance and
scalability. As a result, the pace of AI advancements is stifled as
developers are constantly tackling issues with out-of-date results
and untrustworthy AI hallucinations. This isn’t just a technical
hurdle; it’s a roadblock to AI innovation.
"Although there’s significant growth in the number of companies
experimenting with generative AI, many face roadblocks from a
fractured data infrastructure that lacks real-time data
availability and trust,” said Stewart Bond, Vice President, Data
Intelligence and Integration Software, IDC. “Data management is the
most important area of investment as organizations build an
intelligence architecture that delivers insights at scale, supports
collective learning, and fosters a data culture. Those that get it
right have seen a 4x improvement in business outcomes by removing
real-time data availability and trust roadblocks through data
streaming, governance, security, and integration–so it’s worth the
journey.”
Build a real-time data foundation for modern AI with
Confluent
Modern AI applications require multiple technologies and data
from numerous domains to seamlessly come together. The Confluent
Data Streaming for AI initiative aims to help organizations quickly
build and scale next-generation AI applications with a shared
source of real-time truth for all operational and analytical data,
no matter where it lives.
"We built an AI platform designed for mission-critical use
cases—in industries where businesses simply can’t afford to be
wrong,” said David Ferrucci, Founder and CEO, Elemental Cognition.
“Our interactive reasoning engine leverages a continuous supply of
data that’s reliable, trustworthy and current. Confluent’s data
streaming platform makes that possible and enables us to mix and
match data from different systems and optimize it for contextually
rich insights and answers in real time.”
As part of this launch, Confluent has extended partnerships in
the AI space and also committed to delivering more AI capabilities
within its own platform to further ease the development of
real-time applications.
Expanded partnerships
- Connect with Confluent Technology Partners: Confluent is
partnering with MongoDB, Pinecone, Rockset, Weaviate, and Zilliz to
provide real-time contextual data from anywhere for their vector
databases. Vector databases are especially important as they can
store, index, and augment large data sets in formats that AI
technologies like LLMs require. Through these integrations,
Confluent Cloud’s fully managed data streams can now be accessed
directly within these partners’ platforms, making it even easier to
use real-time data for AI-powered applications. This is just the
start as Confluent looks to extend its partnerships in the AI space
with the Connect with Confluent program.
- Public Cloud Partners: Confluent is building on its
strategic partnership agreements with Google Cloud and Microsoft
Azure to develop integrations, proof of concepts (POCs), and
go-to-market efforts specifically around AI. For example, Confluent
plans to leverage Google Cloud’s generative AI capabilities to
improve business insights and operational efficiencies for retail
and financial services customers. And, with Azure Open AI and Azure
Data Platform, Confluent is planning to create a Copilot Solution
Template that enables AI assistants to perform business
transactions and provide real-time updates, benefiting industries
such as airlines and transportation.
- Services Partners: Confluent is launching POC-ready
architectures with Allata and iLink span Confluent’s technology and
cloud partners to offer tailored solutions for vertical use cases.
Developing, testing, deploying, and tuning these AI applications
requires a specific skill set. These partners deliver that to
alleviate the guesswork around building real-time AI applications,
drastically speeding up time to value.
Product innovations
- Confluent AI Assistant: To help teams get contextual
answers they need to speed up engineering innovations on Confluent,
the Confluent AI Assistant turns natural language inputs—like “What
was my most expensive environment last month?” or “Give me an API
request to produce messages to my orders topic”—into helpful
suggestions and accurate code that’s specific to their deployment.
This is made possible by combining publicly available information,
such as Confluent documentation, with contextual customer
information to provide specific, timely responses. It will be
available to Confluent Cloud customers in 2024.
- AI for Apache Flink® SQL: Over the next several months,
Confluent will announce a series of updates to its newly announced
Flink service for Confluent Cloud that bring AI capabilities into
Flink SQL. On the main stage of Current, the data streaming
industry event, Confluent will demo how Flink can make OpenAI API
calls directly within Flink SQL. This unlocks endless use cases,
such as rating the sentiment of product reviews or summarizing
vendors’ item descriptions. It will help alleviate the complexities
of stream processing, accelerating time to insight.
Dive into Confluent AI use cases at Current 2023
The Current 2023 keynote will showcase real-world Confluent AI
use cases and demos of the AI innovations that are part of this
launch. Catch it today, September 26 at 8:45 am PT. Register now to
tune in virtually. There will also be live demos at the Confluent
booth for a deep dive into Confluent’s partnerships for real-time
AI applications. Don’t miss out!
Additional Resources
- Read the blog for more details on the Data Streaming for AI
initiative
- Join Connect with Confluent partner program today
- Learn more about Confluent’s partner programs
- See how Confluent is helping its customers transform their
businesses
About Confluent
Confluent is the data streaming platform that is pioneering a
fundamentally new category of data infrastructure that sets data in
motion. Confluent’s cloud-native offering is the foundational
platform for data in motion—designed to be the intelligent
connective tissue enabling real-time data, from multiple sources,
to constantly stream across the organization. With Confluent,
organizations can meet the new business imperative of delivering
rich, digital front-end customer experiences and transitioning to
sophisticated, real-time, software-driven backend operations. To
learn more, please visit www.confluent.io.
The preceding outlines our general product direction and is not
a commitment to deliver any material, code, or functionality. The
development, release, timing, and pricing of any features or
functionality described may change. Customers should make their
purchase decisions based upon services, features, and functions
that are currently available.
Confluent and associated marks are trademarks or registered
trademarks of Confluent, Inc.
Apache® and Apache Kafka® are either registered trademarks or
trademarks of the Apache Software Foundation in the United States
and/or other countries. No endorsement by the Apache Software
Foundation is implied by the use of these marks. All other
trademarks are the property of their respective owners.
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Media Contact Lyn Eyad pr@confluent.io
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