Search results for: 'Responsible AI'

30 May 2023  |  North America  |  Technology Research

Generative Artificial Intelligence (GenAI) Augments Human Capabilities and Possibilities

A Journey into the World of Artificial Generation and Synthetic Creation

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Based on public data-trained models, Gen AI algorithms can generate new and creative information/data like the original content produced by humans. This phenomenon has created a massive buzz in the market, transforming how we search for information, create content, and conduct business. The latest developments in large language models and their ...

This edition of the IT, Computing and Communication Technology Opportunity Engine explores emerging growth prospects in AI-driven spatial intelligence, automated 3D intelligence, agentic observability, end-to-end agentic observability, unified API & AI gateway, API and AI connectivity platform, global GPU cloud, global cloud infrastructure, and tai...

AI-driven demand, rising power density, and constrained grid access are exposing the limits of traditional critical power strategies. Peak-based design, component-level reliability, and reactive service models are no longer sufficient in an environment defined by volatility, complexity, and zero tolerance for downtime.Growth is increasingly determi...

Demand response (DR) models are enabling real-time analysis of customer demand trends and allowing the generation, transmission and distribution infrastructure to react accordingly. Growth in this market means utilities will increasingly invest in innovative technologies and predictive tools to reduce power generation costs as well as grid failure...

The report explores the transformation of obesity care from generalized BMI-based treatment to AI-enabled precision metabolic management. The study highlights how obesity is increasingly recognized as a heterogeneous, multi-pathway disease influenced by genetic, neurobehavioral, metabolic, and environmental factors, requiring personalized therapeut...

AI is not a new technology. In fact, AI and machine learning (ML) concepts have been around for more than a century. The comparatively recent (early 2020s) release of and commercial general availability of generative AI (GenAI) solutions have enabled, facilitated, and accelerated AI adoption, both in individual and enterprise contexts. Rapid AI ado...

This edition of the Cyber Security Technology Opportunity Engine (TOE) captures developments related to AI-Native Identity Security, Supply-Chain Security, AI-Native Application Security, Data Security, Social Engineering Defense, Autonomous Penetration Testing, AI-Powered Security Workflows, External Threat Landscape Management, Browser Detection ...

This Frost Radar examines advanced driver assistance systems (ADAS), ADAS AI, and next-stage autonomous-driving technologies as a fast-evolving domain reshaping mobility and safety. As automakers, Tier I suppliers, chipmakers, AI software developers, and autonomous mobility companies improve perception, prediction, planning, validation, and vehicle...

The need for NDR has grown far beyond basic perimeter defense and legacy intrusion detection. Today, NDR is a critical layer of cybersecurity, enabling organizations to detect, investigate, and respond to threats that evade traditional tools. As businesses accelerate cloud adoption, expand remote work, and embrace IoT and AI, network environments h...