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Using Generative AI to Drive Corporate Impact

TechEmpower CTO

Post-sale, AI analyzes customer data to improve service and loyalty, making it a cornerstone of modern sales methodologies. This AI-centric approach transforms sales into a data-driven field, emphasizing efficiency and personalized customer experiences.

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The Significance of Open Source Software in the Digital-First Future Enterprise

CIO

As companies shift their focus from the digital transformation of individual processes to the business outcomes enabled by a digitally transformed organisation, software engineering will become a core enterprise capability. 60% of respondents identified security as the top technology domain for use of OSS in the future.

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IT leaders uplift women to fill tech talent gaps

CIO

With an undergraduate degree in political science and time spent as a Peace Corps and AmeriCorps volunteer, Lain McGrath hardly envisioned a career in software engineering. I didn’t just want to be a software engineer — I wanted to be a software engineer at Gusto,” McGrath explains. “I

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Tonic is betting that synthetic data is the new big data to solve scalability and security

TechCrunch

Big data is a sham. There is just one problem with big data though: it’s honking huge. Processing petabytes of data to generate business insights is expensive and time consuming. Processing petabytes of data to generate business insights is expensive and time consuming. data governance) based on local privacy laws.

Big Data 267
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Actual, which renders company ESG data in a SimCity-like platform, raises $5M seed

TechCrunch

Trying to deal with the huge amount of data associated with how companies are going to transition to a “net zero” economy is an uphill task. That’s the germ of the idea behind Actual , a SimCity-like platform designed to render all this data in a manageable interface, but still accurately.

Company 204
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LatchBio empowers scientists with a code-free platform for handling big biotech data

TechCrunch

Biologists and other scientists are confronted these days with a deep sea of data and a bewildering panoply of tools to apply to it — many of which require a specialist to operate. Fundamentally, the issue is just that scientists are not all data scientists. “Like AlphaFold — it’s a very heavy model.

Biotech 217
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2014 Analyst Forum: Data Analytics and Ancestry.com

CTOvision

On July 30 th in northern Virginia, some of the greatest minds in analytics for business, outcomes, and mission impact gathered to share their lessons learned and experiences with data analytics. Sorensen’s speech actually came out of Ancestry.com’s policies and procedures for sharing its data with students.