Confluent survey: 90% of respondents say data
streaming platforms can lead to more product and service innovation
in AI and ML development
86% of respondents cite data streaming as a
strategic or important priority for IT investments in 2024
For 91% of respondents, data streaming
platforms are critical or important for achieving data-related
goals
Confluent, Inc. (NASDAQ:CFLT), the data streaming pioneer,
unveiled its 2024 Data Streaming Report: Breaking Down
the Barriers to Business Agility & Innovation. The report
dives into how organizations use data streaming to innovate,
accelerate AI adoption, improve business agility, power customer
experiences, and overcome data accessibility and management
challenges. Based on a survey of 4,110 IT leaders across 12
countries, the report shows the pivotal role data streaming plays
in helping businesses maximize the full potential of their
data.
Responsiveness is the key to success in today’s dynamic business
landscape - slow, inconsistent, outdated, or ungoverned data is
detrimental to success because it’s unreliable and can lead to bad
decision-making. It's imperative to leverage continuously streaming
data to discover customer learnings, improve business operations,
and find insights so organizations can act efficiently and quickly.
In fact, 86% of respondents cite data streaming as a strategic or
important priority in IT investments this year.
“Many organizations have data siloed away in different systems
and applications, making it impossible to find and benefit from one
of their most critical business assets - their data,” said Shaun
Clowes, Chief Product Officer at Confluent. “Data streaming acts as
the central nervous system for businesses by connecting systems and
applications so real-time data can be easily accessed for decision
making and improving business processes and customer
experiences.”
Key takeaways from the report include:
Data Streaming Platforms Power Faster AI Adoption
GenAI is top of mind for many companies, but for AI models to
generate accurate and relevant results, the data must be
trustworthy, in the right format, and as real-time as possible.
Retrieval augmented generation (RAG) has emerged as a common
pattern for building GenAI-enabled applications by connecting
general-purpose LLM models to domain-specific data while allowing
granular access controls and minimizing hallucinations. Data
streaming enriches RAG-enabled workloads with trustworthy and
contextual data by tapping into a continuous stream of real-time
data from systems that power the business. Data streaming can
efficiently transform data into the right format to be used by
vector databases for AI applications.
- 74% state investments in GenAI will trend up in the coming two
years.
- 63% cite data streaming platforms extensively or significantly
fuel AI progress by building the real-time data foundation needed
to propel these initiatives.
- 90% note data streaming platforms keep track of data fed into
models for governance purposes.
Data Streaming Simplifies the Development of Data Products
and Encourages Reusability and Cost Savings
As organizations look to broaden and simplify data access and
reusability, more are thinking about organizing their data into
data products. Data products are live, refined, fully governed, and
ready-to-use data assets that are instantly discoverable,
contextualized, trustworthy, and reusable for many use cases. Data
products allow organizations to reuse data across a variety of use
cases to save costs and time.
- 91% of IT leaders are investing in data streaming platforms to
drive their data goals, which include data product creation.
- 72% cite significant benefits from embracing a data product
approach.
- Notable benefits of data products are:
- 98% cite data products as compelling or worthwhile in enabling
more confident data sharing across business units.
- 91% note more meaningful cost allocation or charging based on
usage metrics.
- 90% state more robust risk management.
Data Streaming Platforms Prevent Data Silos and Solve Data
Accessibility Challenges
Tackling data access and management challenges head-on is
crucial for businesses to maximize success in a data-driven world.
The 2024 Data Streaming Report shows that data streaming platforms
help organizations address many data accessibility challenges,
including uncovering siloed data, that hinder real-time,
data-driven operations. As the central nervous system for
businesses, data streaming platforms connect applications and
systems to ensure data is available in real-time, everywhere it’s
needed. This allows companies to focus on accelerating innovation
instead of navigating the maze of point-to-point connections.
- 76% of IT leaders cite five or more data-related challenges
impacting their organizations, including siloed data and
governance-related problems.
- The most common problems data streaming can solve include:
- 93% say data streaming helps break down data silos in most or
many situations
- 88% note data streaming helps to access existing data
- 86% cite data streaming helps discover existing data
- 84% state data streaming helps address governance-related
problems
Data Streaming Delivers Significant Benefits for Business
Investments
As businesses learn to do more with less, proving the ROI of
tech investments has become even more critical. This report shows
that data streaming pays off across every industry and that
organizations of all sizes are achieving value, despite limited
resources.
- 84% of IT leaders cite 2x to 10x return on data streaming
investments.
- 95% stated that data streaming improved or is expected to
improve cybersecurity and data-driven operations.
- 90% improved or expected to improve product and service
innovation when using AI/ML.
Learn More About the Report
This report was based on a survey from Freeform Dynamics and
Radma Research with responses from 4,110 IT leaders familiar with
data streaming from companies with 500 or more employees. These
respondents are from 12 different countries including Australia,
Canada, France, Germany, India, Indonesia, Japan, Singapore, Spain,
the United Arab Emirates, the United Kingdom, and the United
States. The respondents work in a variety of industries, including
technology, financial services, government/public sector,
manufacturing, healthcare, media/entertainment, non-profit,
professional services, research/education, retail,
transportation/logistics, travel/hospitality, and
utilities/telecom.
Additional Resources:
- Download the 2024 Data Streaming report
- Learn more about the report on the Confluent blog
- Download a complimentary copy of the full Forrester Wave™:
Streaming Data Platforms, Q4 2023 report
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/20240605852155/en/
Natalie Mangan pr@confluent.io
Confluent (NASDAQ:CFLT)
過去 株価チャート
から 5 2024 まで 6 2024
Confluent (NASDAQ:CFLT)
過去 株価チャート
から 6 2023 まで 6 2024