CIO
APRIL 12, 2023
After walking his executive team through the data hops, flows, integrations, and processing across different ingestion software, databases, and analytical platforms, they were shocked by the complexity of their current data architecture and technology stack. Sound familiar?) It isn’t easy.
CIO
NOVEMBER 16, 2023
In a career spanning such companies as IBM, KeyCorp, M&T Bank, and BMO, she has “answered the call” many times, most recently as CIO of The Hartford, where she is responsible for the overall strategy, vision, and execution of business technology, cyber, data analytics, and data science. We are focused on being agile, not ‘doing Agile.’
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TechCrunch
MARCH 16, 2022
TruEra , a startup that offers an AI quality management solution to optimize, explain and monitor machine learning models, today announced that it has raised a $25 million Series B round led by Menlo Ventures. “If I were the machine learning data scientist, what would I want to use?
O'Reilly Media - Data
AUGUST 7, 2018
New survey results highlight the ways organizations are handling machine learning's move to the mainstream. As machine learning has become more widely adopted by businesses, O’Reilly set out to survey our audience to learn more about how companies approach this work. What metrics are used to evaluate success?
N2Growth Blog
APRIL 19, 2024
By utilizing machine learning to streamline processes and leveraging data analytics to gain a deeper understanding of customer behavior, digital tools provide innovative solutions to today’s economic challenges. It is the driving force behind the shift from traditional brick-and-mortar businesses to the virtual world.
Dataiku
NOVEMBER 4, 2020
The bulk of an organization’s data science, machine learning, and AI conquests come down to improving decision-making capabilities. Teams may aim to achieve new levels of agility, expedite the time to insights, or refine the process leading up to the business value extraction so that it’s more efficient.
O'Reilly Media - Data
JULY 23, 2018
Interest in machine learning (ML) has been growing steadily , and many companies and organizations are aware of the potential impact these tools and technologies can have on their underlying operations and processes. Machine Learning in the enterprise". Executive Briefing: Agile for Data Science teams.
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