Confluent’s new AI Model Inference seamlessly
integrates AI and ML capabilities into data pipelines
Confluent Platform for Apache Flink® enables
stream processing for on-prem and private cloud workloads with
support from Confluent’s leading Flink experts
Confluent’s new Freight clusters offer cost
savings for high-throughput use cases with relaxed latency
requirements
Confluent, Inc. (NASDAQ:CFLT), the data streaming pioneer,
announced AI Model Inference, an upcoming feature on Confluent
Cloud for Apache Flink®, to enable teams to easily incorporate
machine learning into data pipelines. Confluent introduced
Confluent Platform for Apache Flink®, a Flink distribution that
enables stream processing in on-premises or hybrid environments
with support from the company’s Flink experts. Confluent also
unveiled Freight clusters, a new cluster type for Confluent Cloud
that provides a cost-effective way to handle large-volume use cases
that aren’t time-sensitive, such as logging or telemetry data.
AI Model Inference simplifies building and launching AI and
ML applications
Generative AI helps organizations innovate faster and deliver
more tailored customer experiences. AI workloads need fresh,
context-rich data to ensure the underlying models generate accurate
output and results for businesses to make informed decisions based
on the most current information available.
However, developers often have to use several tools and
languages to work with AI models and data processing pipelines,
leading to complex and fragmented workloads. This can make it
challenging to leverage the most current and relevant data for
decision-making, leading to errors or inconsistencies and
compromising the accuracy and reliability of AI-driven insights.
These issues can cause increased development time and difficulties
in maintaining and scaling AI applications.
With AI Model Inference in Confluent Cloud for Apache Flink®,
organizations can use simple SQL statements from within Apache
Flink to make calls to AI engines, including OpenAI, Amazon
SageMaker, GCP Vertex, and Microsoft Azure. Now enterprises can
orchestrate data cleaning and processing tasks on a single
platform.
“Apache Kafka and Flink are the critical links to fuel machine
learning and artificial intelligence applications with the most
timely and accurate data,” said Shaun Clowes, Chief Product Officer
at Confluent. “Confluent’s AI Model Inference removes the
complexity involved when using streaming data for AI development by
enabling organizations to innovate faster and deliver powerful
customer experiences.”
AI Model Inference enables companies to:
- Simplify AI development by using familiar SQL syntax to work
directly with AI/ML models, reducing the need for specialized
tools and languages.
- Establish seamless coordination between data processing and
AI workflows to improve efficiency and reduce operational
complexity.
- Enable accurate, real-time AI-driven decision-making by
leveraging fresh, contextual streaming data.
"Leveraging fresh, contextual data is paramount for training and
refining AI models, and for use at time of inference to improve the
accuracy and relevancy of outcomes,” said Stewart Bond, Vice
President, Data Intelligence and Integration Software, IDC.
“Organizations need to improve efficiencies of AI processing by
unifying data integration and processing pipelines with AI models.
Flink can now treat foundational models as first class resources,
enabling the unification of real-time data processing with AI tasks
to streamline workflows, enhance efficiency, and reduce operational
complexity. These capabilities empower organizations to make
accurate, real-time AI-driven decisions based on the most current
and relevant streaming data while enhancing performance and
value."
Support for AI Model Inference is currently available in early
access to select customers. Customers can sign up for early access
to learn more about this offering.
Confluent Platform for Apache Flink® enables stream
processing in private clouds and on-premises environments
Many organizations are looking for hybrid solutions to protect
more sensitive workloads. With Confluent Platform for Apache
Flink®, a Flink distribution fully supported by Confluent,
customers can easily leverage stream processing for on-prem or
private cloud workloads with long-term expert support. Apache Flink
can be used in tandem with Confluent Platform with minimal changes
to existing Flink jobs and architecture.
Confluent Platform for Apache Flink® can help organizations:
- Minimize risk with unified Flink and Kafka support and
expert guidance from the foremost experts in the data streaming
industry.
- Receive timely assistance in troubleshooting and resolving
issues, reducing the impact of any operational disruptions to
mission critical applications.
- Ensure that stream processing applications are secure and up
to date with off-cycle bug and vulnerability fixes.
With Kafka and Flink available in Confluent’s complete data
streaming platform, organizations can ensure better integration and
compatibility between technologies, and receive comprehensive
support for streaming workloads across all environments. Unlike
open source Apache Flink which only maintains the two most recent
releases, Confluent offers three years of support for every
Confluent Platform for Apache Flink® release from launch,
guaranteeing uninterrupted operations and peace of mind.
Confluent Platform for Apache Flink® will be available to
Confluent customers later this year.
New auto-scaling Freight clusters offer more cost-efficiency
at scale
Many organizations use Confluent Cloud to process logging and
telemetry data. These use cases involve large amounts of
business-critical data but are often less latency-sensitive since
they typically feed into indexing or batch aggregation engines. To
make these common use cases more cost-efficient for customers,
Confluent is introducing Freight clusters—a new serverless cluster
type with up to 90% lower cost for high-throughput use cases with
relaxed latency requirements. Powered by Elastic CKUs, Freight
clusters seamlessly auto-scale based on demand with no manual
sizing or capacity planning required, enabling organizations to
minimize operational overhead and optimize costs by paying only for
the resources that they use when they need it.
Freight clusters are available in early access in select AWS
regions. Customers can sign up for early access to learn more about
this offering.
Additional resources
- Start your free trial of Confluent Cloud — No credit card
required
- Read here for more information on data streaming for real-time
AI
- Learn more about Confluent’s Apache Flink offerings
As our roadmap may change in the future, the features referred
to herein may change, may not be delivered on time, or may not be
delivered at all. This information is not a commitment to deliver
any functionality and customers should make their purchasing
decisions based upon features that are currently available.
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 back-end operations. To
learn more, please visit www.confluent.io.
Confluent and associated marks are trademarks or registered
trademarks of Confluent, Inc.
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version on businesswire.com: https://www.businesswire.com/news/home/20240501428486/en/
Natalie Mangan pr@confluent.io
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