Experimentation Risk ROI Strategy 
IBM Big Data Hub
MARCH 4, 2024
While many organizations have implemented AI, the need to keep a competitive edge and foster business growth demands new approaches: simultaneously evolving AI strategies, showcasing their value, enhancing risk postures and adopting new engineering capabilities. times higher ROI. times higher ROI.
CIO Business Intelligence
AUGUST 30, 2023
Corporate projects are classically evaluated on standard matrices such as return on investment (ROI), break-even period, and capital invested. To capitalize on the gains offered by digital technologies, CIOs are building technology portfolios by allocating diverse investments based on prospective risk, reward, and value.
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CIO Business Intelligence
DECEMBER 29, 2023
Among the various strategies at our disposal, automation stands out as a pivotal solution,” she says. “In Adaptability and useability of AI tools For CIOs, 2023 was the year of cautious experimentation for AI tools. CIOs will feel pressure to help develop strategies around it to stay ahead of competitors and enable their business.”
CIO Business Intelligence
FEBRUARY 22, 2024
With the aim to accelerate innovation and transform its digital infrastructures and services, Ferrovial created its Digital Hub to serve as a meeting point where research and experimentation with digital strategies could, for example, provide new sources of income and improve company operations.
O'Reilly on Data
MARCH 31, 2020
This means that the AI products you build align with your existing business plans and strategies (or that your products are driving change in those plans and strategies), that they are delivering value to the business, and that they are delivered on time. AI product estimation strategies.
DataRobot Blog
NOVEMBER 15, 2022
At the event, a financial services panel discussion shared why iteration and experimentation are critical in an AI-driven data science environment. The panel discussion focused on Boyd’s Law of Iteration—a theory from dogfighting (military aviation strategy) which believes that the speed of iteration beats the quality of iteration.
Corinium
JUNE 6, 2019
Regulations and compliance requirements, especially around pricing, risk selection, etc., Beyond that, we recommend setting up the appropriate data management and engineering framework including infrastructure, harmonization, governance, toolset strategy, automation, and operating model. In addition, the traditional challenges remain.
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