In this contributed article, Janne Saarela, a Strategy Analyst at JFrog, highlights parallels between autonomous driving and software development, showcasing a shared evolution towards reduced human involvement through automation.
Evolution of AI in Software Development: Shifting from Co-pilot to an Autopilot
April 4, 2024 by Leave a Comment
Heard on the Street – 4/4/2024
April 4, 2024 by Leave a Comment
Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.
How Solving the Big Data Problem Can Fix B2B Ecommerce
April 3, 2024 by Leave a Comment
In this contributed article, Jonathan Taylor, CTO of Zoovu, highlights how many B2B executives believe ecommerce is broken in their organizations due to data quality issues. To address these challenges, leaders should focus on three strategies: prioritize data hygiene, leverage zero-party data for personalized customer experiences, and apply AI cautiously to ensure the delivery of accurate and trustworthy product recommendations.
Counteracting Financial Crimes with Generative Models
April 2, 2024 by Leave a Comment
In this contributed article, editorial consultant Jelani Harper discusses generative models, synthetic data, and combating financial crimes. Generative models are gradually reshaping the nature of financial crimes. They can help and hinder both investigators and the fraudsters perpetuating criminal activity.
When Algorithms Wander: The Impact of AI Model Drift on Customer Experience
April 1, 2024 by Leave a Comment
In this contributed article, Christoph Bӧrner, Senior Director of Digital at Cyara, discusses the risks and dangers of AI model drift on CX and how organizations can navigate the balance between leveraging AI advancements and maintaining exceptional CX standards.
The Synergy of AI and Cloud Transformation in the Payment Sector: Advancing Security, Scalability, and Innovation
March 29, 2024 by Leave a Comment
In this contributed article, technical leader Kamala Manju Kesavan discusses how AI and cloud computing research in the payment industry sheds light on a prosperous arena of inventions and transformation. In the near future, the payment sector will probably welcome advanced technologies such as blockchain, biometric authentication, and AI-powered solutions, which will lead to transactions that will be more secure, rapid, and user-friendly.
Embracing Composable Cloud is Key to Operationalizing AI
March 28, 2024 by Leave a Comment
In this contributed article, Kevin Cochrane, Chief Marketing Officer, Vultr, believes that the winners in the race to operationalize AI will be the companies that can trace their success to the composable cloud and its benefits. Unfortunately, not all cloud and service providers embrace composability. Let composability be your primary criterion for choosing the vendors you will work with to power your AI operations.
Heard on the Street – 3/28/2024
March 28, 2024 by Leave a Comment
Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.
Intel Gaudi 2 Remains Only Benchmarked Alternative to NV H100 for GenAI Performance
March 27, 2024 by Leave a Comment
Newest MLPerf results for Intel Gaudi 2 accelerator and 5th Gen Intel Xeon demonstrate how Intel is raising the bar for generative AI performance across its portfolio and with its ecosystem partners.
New Research Highlights GenAI as an Increasing Priority for Analytics Community
March 27, 2024 by Leave a Comment
insightsoftware, the comprehensive provider of solutions for the Office of the CFO, released Embedded Analytics Insights for 2024, a research report in partnership with Hanover Research uncovering the embedded analytics priorities, trends, and challenges of modern developer teams.
