In this contributed article, Dmitry Shapiro, Founder & CEO of MindStudio, discusses how businesses worldwide are recognizing the potential of AI to not only streamline complex, data-heavy tasks but also to redefine traditional job roles, preparing organizations to thrive in an increasingly fast-paced, data-centric landscape.
IBM Launches Its Most Advanced Quantum Computers, Fueling New Scientific Value and Progress towards Quantum Advantage
November 15, 2024 by
IBM (NYSE: IBM) announced quantum hardware and software advancements to execute complex algorithms on IBM quantum computers with record levels of scale, speed, and accuracy.
At 2024 AI Hardware & Edge AI Summit: Prasad Jogalekar, Head of Global AI and Accelerator Hub, Ericsson
November 14, 2024 by
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.
Cloudera to Acquire Octopai’s Platform to Deliver Trusted Data Across the Entire Hybrid Cloud Data Estate
November 14, 2024 by
Cloudera, the hybrid platform for data, analytics, and AI, announced that it entered into a definitive agreement with Octopai B.I. Ltd. (Octopai) to acquire Octopai’s data lineage and catalog platform that enables organizations to understand and govern their data.
AI Hallucinations Are Inevitable—Here’s How We Can Reduce Them
November 13, 2024 by
In this contributed article, Ulrik Stig Hansen, President and Co-Founder of Encord, discusses the reality – AI hallucinations aren’t bugs in the system—they’re features of it. No matter how well we build these models, they will hallucinate. Instead of chasing the impossible dream of eliminating hallucinations, our focus should be on rethinking model development to reduce their frequency and implementing additional steps to mitigate the risks they pose.
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.
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.
