Comprehensive research report from TheCUBE reveals key data management practices driving AI innovations
BOSTON, August 21, 2024 /PRNewswire/ — Starburst, the Lakehouse open data company, today announced a comprehensive report highlighting the critical role of real-time hybrid data access and robust security in successful AI implementations. The report, created in partnership with TheCUBE Research, provides valuable insights based on a survey of 300 IT professionals across various industries. the united states And Western Europe.
The survey highlights the importance of effective data management practices, real-time data access, hybrid and federated access, and robust security measures for successful AI implementation. Key findings include:
- High intention to adopt AI:87% of organizations express a strong or very strong desire to implement AI in the next 12 months, with significant progress reported by 86% of respondents.
- Aligning Data Management and AI Success:90% of respondents believe their data management practices are somewhat or very aligned with their AI innovation goals, highlighting the critical role of coherent data strategies.
- Main challenges:Organizations face significant barriers in organizing structured (52%) and unstructured (50%) data for AI applications. Data privacy and security concerns and data volume are cited as the most significant barriers.
- Access to real-time data:62% of respondents stress that access to real-time data is critical to AI success, and 65% consider it important or essential to their AI initiatives.
- Impact of data mastery:Better data literacy is seen as crucial, with 90% of respondents believing it would have a moderate or significant impact on the success of AI projects.
- Building a data-driven culture:Strategies such as increasing awareness of the value of data (69%), promoting cross-functional collaboration (66%) and creating a data-driven culture (61%) are identified as essential to maximizing the potential of AI.
The survey reveals several key data management trends that are shaping the AI landscape:
- Data governance and federated access:52% of respondents have adopted data governance and federated data access strategies to improve data quality and accessibility across all systems, including on-premises and in the cloud.
- Cloud-based platforms and agile methodologies:59% use cloud-based platforms for scalability and 61% use agile methodologies for data project management.
- Growing importance of real-time data:Access to real-time data is essential, with 62% of respondents highlighting its critical role in AI success.
“Starburst provides the essential foundation for AI innovation, with a focus on real-time hybrid data access and robust security,” said Justin Borgmanco-founder and CEO of Starburst. “With our open, advanced and user-friendly hybrid Lakehouse platform, customers can navigate the complexities of data management with greater ease, efficiency and accuracy, driving transformative AI outcomes.”
“Real-time data access and strong security are critical to the successful deployment of AI technologies. Our research underscores the importance of these elements, revealing that organizations that prioritize effective data management practices are better positioned to realize the full potential of AI. The insights from this comprehensive report provide a roadmap for companies to align their data strategies with their AI innovation goals, driving substantial advancements and competitive advantages in the AI landscape,” said Shelly KramerManaging Director, Principal Analyst, TheCUBE Research.
Support Resources
- For more information, read the full study report.
About the survey
This report, based on a survey conducted by TheCUBE Research and Starburst, explores data management practices and their impact on the development of AI. The survey covers 300 IT professionals in the United States (53%) and Western Europe (47%), covering sectors such as financial services, manufacturing, retail, technology and telecommunications. Respondents are mainly CTOs (51%), software engineers (25%), data engineers (15%) and data architects (9%) from companies of various sizes.
About Starburst:
Starburst, the Open Hybrid Lakehouse, is the leading end-to-end data platform for securely accessing, analyzing, and sharing data for analytics and AI across hybrid, on-premises, and multi-cloud environments. As the leader in Trino, a modern open source SQL engine, Starburst enables the most data-intensive and security-conscious organizations, including Comcast, Halliburton, Vectra, EMIS Health, and 7 of the top 10 global banks, to democratize data access, improve analytics performance, and enhance architectural optionality. With Starburst’s Open Hybrid Lakehouse, enterprises around the world can easily discover and use all their data to power AI and other business-critical applications such as AML/CFT analytics, best-in-class products, customer 360, log analytics, and ESG reporting.
About CUBE Research:
theCUBE Research is an independent research, analysis and advisory firm focused on emerging technology companies and sectors, tracking disruptive innovation, industry trends and creating industry categories. theCUBE Research is where technology executives and business leaders go for real-time, transformative insights and expert advice designed to help grow share of voice and market share. For more information, visit Search theCUBE.
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