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.
The latest big data news and articles
Alteryx Announces Streamlined Enhancements for Hybrid Analytics Processes and Workflows
November 12, 2024 by
Alteryx, Inc., a leader in automated and AI analytics, today announced its Fall 2024 release for the Alteryx platform. The latest update supports hybrid architectures and meets customers where they are—whether in the cloud or on premises. Alteryx’s Fall 2024 release provides business analysts with a seamless analytics experience that scales data-driven insights across departments and industries.
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.
Aera Technology Introduces Agentic AI, Workspaces, and Control Roomto Enable the Full Spectrum of Enterprise Decisions
November 9, 2024 by
Aera Technology announced the next evolution of the company’s Aera Decision Cloud™ platform for the future of work. Major advancements, including Aera Agentic AI, Aera Workspaces, and Aera Control Room, empower users with one system of intelligence to automate routine decisions, model scenarios to support strategic decisions, and execute and track the full spectrum of enterprise decisions.
Chatbots Walked So AI Concierges Could Run
November 8, 2024 by
In this contributed article, Dr. Peter Graf, SVP of Strategy at Genesys, imagines a world where an AI-powered concierge can navigate complex customer support requests on your behalf. He believes the chatbots we’re familiar with today are paving the way forward for these concierges to become a reality.
Unisys AI Report: New Leadership Roles and Tech Innovation on the Rise
November 8, 2024 by
Unisys released its latest survey findings, The AI Equation: 2024 AI Business Impact Research, revealing how AI is reshaping industries by creating leadership roles and boosting tech training initiatives.
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.
The Path to AI Everywhere: New Study Unveils Human-First Strategy for AI-Fuelled Future of Work
November 6, 2024 by
Unit4, a leader in enterprise cloud applications for people-centric organizations, launched an IDC InfoBrief, sponsored by Unit4, entitled “The Path to AI Everywhere: Exploring the Human Challenges,” illustrating the strategies required to successfully build an AI-fuelled workplace of the future.
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 […]
The Role of AI in Customizing the Driving Experience
November 4, 2024 by
In this contributed article, Boaz Mizrachi, Co-Founder and CTO of Tactile Mobility, discusses how AI and machine learning are redefining the driving experience by personalizing every aspect of vehicle interaction, from tailored comfort settings to predictive maintenance. These technologies enable cars to adapt in real time to driver preferences and behaviors, making driving more intuitive, enjoyable, and safe.
