On June 12th, IBM debuted AutoAI, a new set of capabilities for Watson Studio designed to automate critical yet time-consuming tasks associated with designing, optimizing and governing AI in the enterprise. As a result, data scientists can be liberated to commit more time to designing, testing and
When businesses evaluate cloud infrastructure, databases or other core business systems, they nearly always consider scale as a decision factor. But scalability – the ability to grow as planning and business grows – is often overlooked for enterprise performance management.
So what do companies
Many companies struggle with outdated, duplicate or incorrect customer data. At Localiza, we can go beyond identifying the customer by name, profession and role -- to customizing the entire experience based on the customer’s past history with us. With this 360-degree view of each customer’s current
While data is an enterprise’s most valuable resource when it comes to gaining competitive advantage and improving business performance, time is a critical component. Businesses run 24x7, tasking our data citizens to maximize actionable insights that will drive the actions of tomorrow.
In the latest episode of :"Stories from the Field," Host Wennie Allen, IBM Data and AI, sits down with Elenita Elinon, leader of the Quantitative Research Analytics at JP Morgan Chase, recognized and awarded as one of the top 40 Women Leaders in Data and AI for her work with risk and fraud. Elenita
With the automated AI and ML advancements, you may find yourself wondering--what are the overall impacts to business? How will all of this technological progress impact the ways we run our business and perform our jobs?
In my last blog, I stressed the need for a modern data architecture (MDA) to underpin the next generation of the cognitive enterprise, fully harness data using the latest technologies, and sustain a platform-centric business model that supports people, process and technology optimized around