platform process-automation process-modeling 
CIO
MARCH 29, 2024
That’s why Rocket Mortgage has been a vigorous implementor of machine learning and AI technologies — and why CIO Brian Woodring emphasizes a “human in the loop” AI strategy that will not be pinned down to any one generative AI model. The company now has several business processes fully automated with homegrown code and AI.
CIO
APRIL 16, 2024
While warp speed is a fictional concept, it’s an apt way to describe what generative AI (GenAI) and large language models (LLMs) are doing to exponentially accelerate Industry 4.0. Manufacturers have been using gateways to work around these legacy silos with IoT platforms to collect and consolidate all operational data.
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CIO
SEPTEMBER 19, 2023
Organizations all around the globe are implementing AI in a variety of ways to streamline processes, optimize costs, prevent human error, assist customers, manage IT systems, and alleviate repetitive tasks, among other uses. And with the rise of generative AI, artificial intelligence use cases in the enterprise will only expand.
CIO
APRIL 12, 2024
Such technologies are being harnessed to create better customer service platforms, automate processes, and even drive business decision-making. It can be useful for an array of AI-related tasks, including deep learning research, computer vision, natural language processing (NLP), model development, and model deployment.
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With the emergence of enterprise AI platforms that automate and accelerate the lifecycle of an AI project, businesses can build, deploy, and manage AI applications to transform their products, services, and operations. Democratizing AI through your organization requires more than just software.
CIO
APRIL 1, 2024
Think process, not event Modernization remains a constant item on the CIO to-do list, so the task should be a standard part of IT’s schedule. Companies that do well have turned modernization into a process instead of an event. You have to have a process that you adhere to; you have to make it a continual function within IT.”
CIO
APRIL 25, 2024
The big thing we hear from many of our customers is, ‘I already have data in N number of XYZ data platforms. Currently, a handful of startups offer “reverse” extract, transform, and load (ETL), in which they copy data from a customer’s data warehouse or data platform back into systems of engagement where business users do their work.
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