At the recent 2024 AI Hardware & Edge AI Summit in San Jose, Calif., I caught up with Prasad Jogalekar, Head of Global AI and Accelerator Hub at Ericsson, a Sweden based telecomm multinational.
At 2024 AI Hardware & Edge AI Summit: Prasad Jogalekar, Head of Global AI and Accelerator Hub, Ericsson
November 14, 2024 by
Wealth Management Firms Expected to More Than Double AI Budgets
November 13, 2024 by
Wipro Limited, a leading technology services and consulting company, unveiled insights from its report, “AI in Wealth Management: Navigating an Evolving Data-Driven Landscape.” The report, based on a survey conducted among 100 executives in the U.S., examines how artificial intelligence (AI) is changing the wealth management landscape and emphasizes the importance of strategic investments in technology infrastructure.
Why Mathematics is Essential for Data Science and Machine Learning
November 12, 2024 by
In this feature article, Daniel D. Gutierrez, insideAInews Editor-in-Chief & Resident Data Scientist, explores why mathematics is so integral to data science and machine learning, with a special focus on the areas most crucial for these disciplines, including the foundation needed to understand generative AI.
Why Auto-Tiering is Essential for AI Solutions: Optimizing Data Storage from Training to Long-Term Archiving
November 11, 2024 by
In this contributed article, Gal Naor, Co-Founder and CEO of Storone, explores why auto-tiering is essential for AI solutions in terms of data storage. By embracing auto-tiering, AI-driven organizations can ensure they meet both the demands of today’s data-intensive environments and the challenges of tomorrow.
GenAI and the Role of GraphRAG in Expanding LLM Accuracy
November 7, 2024 by
In this feature article, Daniel D. Gutierrez, insideAInews Editor-in-Chief & Resident Data Scientist, discusses RAG techniques, particularly those involving graph-based knowledge representation, can significantly enhance their performance. One such innovative solution is GraphRAG, which combines the power of knowledge graphs with LLMs to boost accuracy and contextual understanding.
At 2024 AI Hardware & Edge AI Summit: Gayathri Radhakrishnan, Partner – Investment Team, Hitachi Ventures
November 5, 2024 by
At the recent 2024 AI Hardware & Edge AI Summit in San Jose, Calif., I caught up with Gayathri Radhakrishnan, Partner – Investment Team with Hitachi Ventures, a venture firm that looks for the best solutions to address the world’s technical, social and environmental challenges The discussion starts with a brief tour of the company’s mission and market […]
Five Ways AI Will Break Software Development
November 4, 2024 by
In this contributed article, Cory Hymel, VP of Research & Innovation at Crowdbotics, discusses why we need to think bigger about AI’s role in software development. The growing capabilities of AI models, particularly large language models, have the potential to fundamentally disrupt the software development lifecycle (SLDC).
Survey Finds Over Half of AI Startup Founders Are Using Four Or More Foundational Models
October 31, 2024 by
Costanoa Ventures, a boutique early-stage B2B venture capital firm, released findings from a survey of founders building in the AI space, “Building an AI-Native Startup,” offering a snapshot of the AI-native startup ecosystem. The survey includes insights into how founders building in AI approach hiring AI talent, the tools they use, and the challenges that keep them up at night.
New HackerRank Research Highlights How GenAI is Changing Software Development
October 30, 2024 by
HackerRank, the Developer Skills Company, announced the release of its AI Skills Report. The AI Skills Report analyzed millions of data points from developers using HackerRank to seek jobs at some of the world’s largest companies.
At 2024 AI Hardware & Edge AI Summit: Daniel Valdivia, Engineer, MinIO
October 29, 2024 by
At the recent 2024 AI Hardware & Edge AI Summit in San Jose, Calif., I caught up with Daniel Valdivia, Engineer, MinIO, creators of the MinIO Enterprise Object Store: Built for AI Data Infrastructure.
