Analytics Data Engineering Fractional CTO 
CIO
MARCH 13, 2025
Dun and Bradstreet has been using AI and ML for years, and that includes gen AI, says Michael Manos, the companys CTO. In a November report by HR consultancy Randstad, based on a survey of 12,000 people and 3 million job profiles, demand for AI skills has increased five-fold between 2023 and 2024. Other surveys found a similar gap.
CIO
DECEMBER 20, 2024
Many organizations today are looking to modernize their data architecture as a foundation to fully leverage AI and enable digital transformation. Consulting firm McKinsey Digital notes that many organizations fall short of their digital and AI transformation goals due to process complexity rather than technical complexity.
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CIO
FEBRUARY 19, 2025
The early part of 2024 was disappointing when it comes to ROI, says Traci Gusher, data and analytics leader at EY Americas. Weve also seen some significant benefits in leveraging it for productivity in data engineering processes, such as generating data pipelines in a more efficient way.
CIO
JULY 15, 2022
Over the years, DTN has bought up several niche data service providers, each with its own IT systems — an environment that challenged DTN IT’s ability to innovate. “We Analytics, Data Management Very little innovation was happening because most of the energy was going towards having those five systems run in parallel.”.
CIO
JULY 28, 2022
“Even though we’ve seen a huge proliferation of data, the supply for analysts does not meet the demand,” says Bess Healy, senior vice president and CIO at Stamford, Conn.-based We try to be data-driven in our decisions so we have a great need for analytics skill sets. … These people are making up a data science support system.
CIO
JUNE 7, 2022
Successful AI teams also include a range of people who understand the business and the problems it’s trying to solve, says Bradley Shimmin, chief analyst for AI platforms, analytics, and data management at consulting firm Omdia. Data engineer.
CIO
JANUARY 22, 2024
However, the effort to build, train, and evaluate this modeling is only a small fraction of what is needed to reap the vast benefits of generative AI technology. Key elements of this foundation are data strategy, data governance, and data engineering. Consider the iceberg analogy.
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