Rocket-Powered Data Science
FEBRUARY 15, 2023
First, don’t do something just because everyone else is doing it – there needs to be a valid business reason for your organization to be doing it, at the very least because you will need to explain it objectively to your stakeholders (employees, investors, clients). Test early and often. Expect continuous improvement.
CIO Business Intelligence
JUNE 28, 2023
These circumstances have induced uncertainty across our entire business value chain,” says Venkat Gopalan, chief digital, data and technology officer, Belcorp. “As To address the challenges, the company has leveraged a combination of computer vision, neural networks, NLP, and fuzzy logic.
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CIO Business Intelligence
JANUARY 2, 2024
CIOs are readying for another demanding year, anticipating that artificial intelligence, economic uncertainty, business demands, and expectations for ever-increasing levels of speed will all be in play for 2024. They’re articulating ambitions and formulating objectives, turning those would-be challenges into opportunities.
The Unofficial Google Data Science Blog
JANUARY 14, 2016
Unlike experimentation in some other areas, LSOS experiments present a surprising challenge to statisticians — even though we operate in the realm of “big data”, the statistical uncertainty in our experiments can be substantial. We must therefore maintain statistical rigor in quantifying experimental uncertainty.
CIO Business Intelligence
JULY 17, 2023
Since we already have the cloud native data lake, we are generating actionable business insights using that data, and plan to leverage them with AI and other new-age tools to uplevel in business. We need to define our business objective before adopting those new tools, because AI is simply algorithm.
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