Comprehensive TheCUBE research report reveals key data management practices driving AI innovations.
Starburst has released 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, presents valuable insights based on a survey of 300 IT professionals from diverse industries in the United States and Western Europe.
The survey underscores the importance of efficient data management practices, real-time data access, hybrid and federated access and robust security measures for successful AI implementations.
Key findings include:
- Strong AI Adoption Intent: 87% of organizations express a strong or very strong desire to implement AI within the next 12 months, with significant progress reported by 86% of respondents.
- Alignment of 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.
- Primary Challenges: Organizations face significant hurdles in organizing both structured (52%) and unstructured data (50%) for AI applications. Data privacy/security concerns and data volume are cited as the most significant barriers.
- Real-Time Data Access: 62% of respondents highlight real-time data access as critical for AI success, with 65% considering it important or critical for their AI initiatives.
- Data Literacy Impact: Enhanced data literacy is seen as crucial, with 90% of respondents believing it would moderately or significantly impact AI project success.
- Building a Data-Driven Culture: Strategies such as increasing awareness of data’s value (69%), fostering cross-functional collaboration (66%), and building a data-driven culture (61%) are identified as key to maximizing AI’s potential.
The survey reveals several key trends in data management 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 systems, including on-premises and in the cloud.
- Cloud-Based Platforms and Agile Methodologies: 59% are leveraging cloud-based platforms for scalability, and 61% are using agile methodologies for data project management.
- Emerging Importance of Real-Time Data: Real-time data access is essential, with 62% of respondents emphasizing its critical role in AI success.
Justin Borgman, co-founder and CEO, Starburst, said: “Starburst provides the essential foundation for AI innovation, emphasizing real-time hybrid data access and robust security.”
“With our advanced and user-friendly open hybrid lakehouse platform, customers can navigate the complexities of data management with greater ease, efficiency and accuracy, driving transformative AI outcomes.”
Shelly Kramer, Managing Director, Principal Analyst, TheCUBE Research, said: “Real-time data access and robust security are paramount in the successful deployment of AI technologies. Our research underscores the significance of these elements, revealing that organizations prioritizing efficient data management practices are better positioned to harness the full potential of AI. The insights from this comprehensive report provide a roadmap for businesses to align their data strategies with their AI innovation goals, driving substantial advancements and competitive advantages in the AI landscape.”
