In this contributed article, Ovais Naseem from Astera, takes a look at how the journey of data modeling tools from basic ER diagrams to sophisticated AI-driven solutions showcases the continuous evolution of technology to meet the growing demands of data management. Understanding how data modeling tools have changed over time gives us important insights into why organizing and analyzing data well is so important.
The Democratization of AI: 3 Dangers Business Leaders Must Confront
May 31, 2024 by Leave a Comment
In this contributed article, Simone Bohnenberger-Rich, PhD, Chief Product Officer at Phrase, explores the dangers and challenges posed to business leaders as gen AI companies like ChatGPT open up their tools for deeper integration into organizations.
Pandora’s Box or Lockbox? The Top 3 Barriers to Implementing Generative AI
May 28, 2024 by Leave a Comment
In this contributed article, Shayde Christian, Chief Data & Analytics Officer at Cloudera, discusses issues surrounding the barriers organizations face when it comes to implementing GenAI and how to navigate them.
Survey: C-Suite Execs Trust AI’s Potential but Face Challenges in Strategy, Execution, and Reliability
May 25, 2024 by Leave a Comment
A new survey of C-suite executives and AI leaders shows while enterprise decision-makers trust the potential of AI, many lack confidence in their company’s strategy to execute as well as the data readiness to ensure reliability of AI outputs. Moreover, 7 in 10 executives say their AI strategy is not fully aligned to their business strategy today.
Genpact/HFS Share Considerations for Intelligent and Sustainable Gen AI Adoption
May 24, 2024 by Leave a Comment
Genpact’s released a new report, issued alongside HFS surveying over 550 senior executives across 12 countries and 8 industries titled “The Two-Year Gen AI Countdown: How businesses are scaling GenAI adoption and avoiding the productivity trap.” The report unpacks how there is a two-year window to capitalize on the advantages of generative AI before competitive disadvantages emerge.
Unleashing the Power of Graph and Vector Databases in the Age of Generative AI
May 23, 2024 by Leave a Comment
In this contributed article, Dave Voutila, solutions engineer at Redpanda, does a dive deep into the world of graph and vector databases, explores how these technologies are converging in the age of generative AI and provides real-time insights on how organizations can effectively leverage each approach to drive their businesses.
New Research from Elastic Finds Conversational Search Could Yield Staggering Productivity Returns
May 21, 2024 by Leave a Comment
New research by Elastic (NYSE: ESTC), the company behind Elasticsearch®, found nearly all (99%) global IT decision makers, regardless of region or industry, recognize GenAI’s transformative potential to influence change within their organizations. However, early adoption continues to be slowed by chaotic data estates, search challenges, and fears around privacy and security, regulation, and internal skills gaps.
Redefining Digital Engagement in a Cookieless World: The Power of AI and Zero-Party Data
May 20, 2024 by Leave a Comment
In this contributed article, Christian J. Ward, Executive Vice President and Chief Data Officer at Yext, discusses how before January of this year, up to 83% of marketers relied on third-party data sources for personalization strategies. Now, as cookies continue to phase out, those marketers might be facing a crisis — but it could be an opportunity to create more trustworthy, privacy-respecting strategies in the long run.
Generating Business Value from Data on Enterprise IT Usage
May 16, 2024 by Leave a Comment
In this contributed article, Stefano Pilotto, CCO of Zetaly, discusses how mainframes continue to be the workhorses of enterprise computing. Now, with advanced approaches to data management, businesses can unlock insights to optimize mainframe usage in line with operational objectives.
Exasol Finds AI Underinvestment Leads to Business Failure, But Data Challenges Stall Rapid Adoption
May 14, 2024 by Leave a Comment
Senior decision-makers know that AI is critical for their business’ viability, yet despite growing stakeholder pressure to implement the technology quickly, regulatory and technological challenges are slowing the process, according to a new report from our friends over at Exasol, the high-performance analytics database provider. Exasol’s 2024 “AI and Analytics Report” investigates the current state of AI implementation, top data analytics challenges, and the future of the C-suite given the explosive growth of data and adoption of emerging technologies.
