FOREWORD
How Making AI More Human Will Revolutionise Work
Advances in cognitive analytics are set to usher in a new age of AI that will see systems work autonomously to complete assigned tasks
“ In order for
AI to become cognitively sound , we need systems that don ’ t just understand data – they understand the context ”
As 2024 draws to a close , AI continues to evolve at a breakneck pace . This November issue of AI Magazine peers beyond current AI capabilities to glimpse the rapidly unfolding future .
Cognitive analytics , now a cornerstone of business intelligence , employs machine learning , natural language processing , and other AI technologies to understand , learn , and reason . It ' s setting the stage for agentic AI - systems that can act autonomously , make decisions , and interact with their environment in goal-directed ways . By enhancing AI ' s ability to understand context , learn from experience , and make informed choices , cognitive analytics is bringing us closer to independent , intelligent AI agents .
This edition also examines the fragmented ecosystem of AI platforms and its impact on innovation and integration . We tackle the " black box " problem in Large Language Models ( LLMs ) and its implications for transparency and trust . Additionally , we explore how Robotic Process Automation ' s ( RPA ) integration with AI is expanding automation across industries .
We round out the issue with an exclusive interview with Microsoft UK ' s General Manager of Financial Services Industry , offering insights into AI ' s future in finance .
Join us as we explore AI ' s current landscape and its profound implications for our future .
AI MAGAZINE IS PUBLISHED BY
KRISTIAN MCCANN
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