Endava a leading tech services provider, launched its latest research report with IDC titled, “The Next Wave of Digital Transformation in the Era of the AI-Powered Digital Shift.”
How Real-Time Data Analytics and AI Are Transforming Heavy Equipment Operations
In this contributed article, freelance writer Ellie Gabel discusses how real-time data analysis and AI are refining various aspects of the heavy equipment industry, further promoting seamlessness and automation. Take a look at some of the ways data analytics and AI are transforming the sector.
How AI is Transforming Legal Operations and Revolutionizing Contract Management Efficiency
In this contributed article, Daniela De La Vega Smith, an accomplished legal and compliance professional, discusses how AI-driven contract analysis, workflow automation, and predictive insights are changing the game for legal operations. From optimizing contract reviews with natural language processing to enabling cross-departmental collaboration and proactive risk assessment, Daniela talks about how AI is transforming contract lifecycle management into a more efficient, accurate, and proactive function within organizations.
At 2024 AI Hardware & Edge AI Summit: Prasad Jogalekar, Head of Global AI and Accelerator Hub, Ericsson
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.
Wealth Management Firms Expected to More Than Double AI Budgets
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
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
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
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
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
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).