The next major evolution will come from multi-agent systems—networks of smaller, specialized AI models that coordinate across ...
GenAI isn’t magic — it’s transformers using attention to understand context at scale. Knowing how they work will help CIOs ...
Generative AI (GenAI) has rapidly become the backbone of current digital transformation. This is driving chatbots, automating code and providing predictive insights at scale. If your cloud ...
Pega to Expand GenAI Framework with Google Cloud & AWS, to Allow for Enterprise Generative AI Choice
New connectors to be provided so Pega clients can leverage generative AI capabilities to their employees and customers utilizing their preferred LLM With this expansion, Pega’s enterprise platform ...
The convergence of structured and unstructured intelligence presents challenges for enterprise generative AI (GenAI) architecture. To address this, data platforms must unify data pipelines, metadata, ...
The collaboration seeks to address this gap by transitioning organisations from limited experimentation to enterprise-wide ...
Artificial intelligence (AI) is at the forefront of innovation, becoming essential for differentiating from the competition. However, while many organizations are prepared to embrace AI, the readiness ...
Defining channel and coreless connectivity as a foundational architectural theme ensures that all business capabilities are ...
Continuous tech-debt monitoring & governance Tech debt removal is typically reactive and ad-hoc exercise. AI can help run periodic scans, update debt scores, and feed insights into tech governance ...
Generative AI (GenAI) is evolving into a general-purpose technology that could reshape economic growth, productivity, and competitive dynamics across industries over the next decade.
This is an Insight article, written by a selected contributor as part of WTR's co-published content. Read more on Insight In recent years, the rapid advance of large-model technologies has made ...
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