The Unofficial Google Data Science Blog

JULY 22, 2020

by ALEXANDER WAKIM Ramp-up and multi-armed bandits (MAB) are common strategies in online controlled experiments (OCE). These strategies involve changing assignment weights during an experiment. The first is a strategy called ramp-up and is advised by many experts in the field [1].

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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. He plans to scale his company’s experimental generative AI initiatives “and evolve into an AI-native enterprise” in 2024.

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CIO Business Intelligence

SEPTEMBER 12, 2022

Prioritize time for experimentation. It requires bold bets and a willingness to persevere despite setbacks, criticism, and uncertainty,’’ wrote McKinsey senior partners Laura Furstenthal and Erik Roth in a recent blog post. “By Change Management, Innovation, IT Leadership, IT Strategy

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CIO Business Intelligence

OCTOBER 18, 2023

If anything, 2023 has proved to be a year of reckoning for businesses, and IT leaders in particular, as they attempt to come to grips with the disruptive potential of this technology — just as debates over the best path forward for AI have accelerated and regulatory uncertainty has cast a longer shadow over its outlook in the wake of these events.

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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 Follow a value-focused strategy. 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

APRIL 6, 2022

If anything, the past few years have shown us the levels of uncertainty we are facing. For example, Infosys and AWS built a joint strategy for quantum computing applications on circuit simulators and quantum hardware technologies using Amazon Braket.

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IBM Big Data Hub

APRIL 18, 2024

While leaders have some reservations about the benefits of current AI, organizations are actively investing in gen AI deployment, significantly increasing budgets, expanding use cases, and transitioning projects from experimentation to production. The AGI would need to handle uncertainty and make decisions with incomplete information.

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Jet Global

DECEMBER 31, 2019

Among several services my organization provides; we help individuals, enterprises, and public agencies plan, prepare, and manage through the uncertainty, demands, and challenges of the future. If a data strategy is not being executed today, you’re already late. Organizations need to become really comfortable with experimentation.

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The Unofficial Google Data Science Blog

APRIL 16, 2019

by MICHAEL FORTE Large-scale live experimentation is a big part of online product development. This means a small and growing product has to use experimentation differently and very carefully. This blog post is about experimentation in this regime. But these are not usually amenable to A/B experimentation.

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Domino Data Lab

JUNE 23, 2019

Skomoroch proposes that managing ML projects are challenging for organizations because shipping ML projects requires an experimental culture that fundamentally changes how many companies approach building and shipping software. Yet, this challenge is not insurmountable. for what is and isn’t possible) to address these challenges.

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CIO Business Intelligence

SEPTEMBER 19, 2023

He believes he can demystify digital transformation and put corporate leaders on the right path as they rethink their business strategy for the digital era. How can enterprises attain these in the face of uncertainty? They should rather manage through experimentation. Where does the CIO role fit in the scheme of things?

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O'Reilly on Data

SEPTEMBER 15, 2020

Technical competence results in reduced risk and uncertainty. As AI maturity increases, a non-incremental, holistic, and organization-wide AI vision and strategy should be created to achieve hierarchically-aligned AI goals of varying granularity—goals that drive all AI initiatives and development.

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CIO Business Intelligence

AUGUST 25, 2023

It’s around these four work streams that leading organizations are positioning themselves to mature their data strategies and, in doing so, answer not only today’s AI questions but tomorrow’s. You need to re-envision business strategies with the exponential scale of AI in mind,” he says. You can’t wrangle AI by yourself.

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CIO Business Intelligence

JULY 17, 2023

How do you foster a culture of innovation and experimentation in your team to ensure consistent learning, and achievement of your digital transformation goals? While this can be challenging, I do believe that’s the way to guide them, as that makes them well-equipped to manage the uncertainties that come with this mantle.

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O'Reilly on Data

DECEMBER 9, 2019

Because of this trifecta of errors, we need dynamic models that quantify the uncertainty inherent in our financial estimates and predictions. Practitioners in all social sciences, especially financial economics, use confidence intervals to quantify the uncertainty in their estimates and predictions.

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Cloudera

OCTOBER 8, 2020

It’s not enough to bolt technology onto an existing strategy and consider it transformed. It is the engine that dictates how fast you can move your strategy. A disruptive mindset creates an environment that embraces constant experimentation and change. Stability during Uncertainty . Charlene is a titan in the field.

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