Search results for: 'preparing for the data native of generative ai'

Generative artificial intelligence (AI) applications have captured widespread attention from enterprise and consumer segments. This technology marks an inflection point in AI adoption, with the potential to transform business models, company functions, and job roles. While enterprise adoption is still nascent, organizations are exploring the potent...

Artificial intelligence (AI) adoption is increasing rapidly across industry segments and functional use cases, significantly impacting the way businesses create and deliver value. Generative AI has accelerated the awareness of the transformative impact of AI and the potential of leveraging the technology to create business value. As AI adoption con...

This edition of IT, Computing and Communications (ITCC) Technology Opportunity Engine (TOE) explores transformative innovations reshaping enterprise digital infrastructure. It showcases advancements across cloud-native platforms, edge computing, AI, and immersive technologies. Highlighted solutions include a unified edge management system streamlin...

As enterprise adoption of AI enters a more demanding phase, the source of competitive advantage is shifting. In 2026, success is no longer determined by access to advanced models or the scale of experimentation, but by an organization’s ability to operationalize AI reliably within core workflows. This report examines how AI applications and use cas...

This edition of IT, Computing and Communications (ITCC) Technology Opportunity Engine (TOE) explores significant advancements in IT and computing, focusing on enterprise solutions driving digital transformation across industries. It highlights a various type of AI-enabled solutions with real-time monitoring and automation, conversational platforms,...

AI technologies and platforms are entering a new stage of maturity. Most organizations now have access to capable models and have run pilots across multiple functions. The real question is no longer whether AI works, but where it can create sustained growth and how it can be scaled without introducing cost volatility, operational risk, or governanc...

This edition of the Cyber Security Technology Opportunity Engine (TOE) explores AI Data Governance and Real-Time AI Interaction Monitoring enable secure LLM adoption, while Human Risk Management and Real-Time Risk Detection deliver contextual behavioral interventions. Web Exposure Management and Continuous Web Exposure Discovery provide agentless c...

As generative AI becomes deeply embedded in enterprise operations, fueling copilots, assistants, and automated agents, organizations face a wave of new and dynamic security risks. Traditional cybersecurity architectures are ill-equipped to address the fluidity, autonomy, and unpredictability of GenAI systems. This report provides chief information ...

Modern cloud-native security requires a paradigm shift to a shift-left model to protect applications by moving security closer to identified dynamic workloads and applications based on attributes and metadata, such as labels and tags. It requires early security integration and throughout the ADLC (instead of injecting security into later life cycle...