Imagine a financial institution relying on an AI system to assess risk for complex derivatives, only to face massive losses due to the system's failure to grasp internal policies and market nuances. This scenario, far from hypothetical, underscores a pressing challenge in today's AI landscape:
Setting the Stage for Agentic AI's Market Impact Imagine a corporate landscape where an AI system autonomously manages entire supply chains, from procurement to delivery, without a single human intervention. This scenario is no longer a distant dream but an emerging reality with the rise of agentic
Imagine a corporate giant, handling billions in revenue, yet struggling to compile a simple client list in under three weeks due to fragmented data systems, a challenge that seems unthinkable for a company of such scale. This was the reality for Shaw Industries, a $6 billion leader in flooring and
I'm thrilled to sit down with Chloe Maraina, a renowned Business Intelligence expert with a deep passion for transforming big data into compelling visual stories. With her extensive background in data science and a forward-thinking vision for data management and integration, Chloe has become a
I'm thrilled to sit down with Chloe Maraina, a trailblazer in the realm of business intelligence with a deep passion for weaving compelling stories through big data. As an expert in data science, Chloe has a keen eye for the future of data management and integration, making her the perfect person
In an era where data is the lifeblood of business, enterprises face the daunting challenge of managing ever-growing volumes of information while navigating complex workloads and harnessing cutting-edge technologies like artificial intelligence. IBM has stepped up to address these pressing needs
