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Our quest for robust time series forecasting at scale

The Unofficial Google Data Science Blog

by ERIC TASSONE, FARZAN ROHANI We were part of a team of data scientists in Search Infrastructure at Google that took on the task of developing robust and automatic large-scale time series forecasting for our organization. So it should come as no surprise that Google has compiled and forecast time series for a long time.

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Unveiling the Top 10 Data Visualization Companies of 2024

FineReport

Innovations in 2024 Enhanced Data Security Measures: In 2024, Tableau will introduce enhanced data security measures to ensure the protection of sensitive information and compliance with data regulations. Embrace FanRuan’s transformative technologies to elevate your data visualization experience to unprecedented heights!

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5 ways to maximize your cloud investment

CIO Business Intelligence

But many CIOs, worried about going over budget, pre-book too much capacity. While having that cushion avoids unplanned budget issues down the road, many CIOs waste money on substantial amounts of pre-booked capacity they never use, McKee says. But for other tools where latency isn’t critical, we don’t measure it.”

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The CFO’s role in the age of generative AI

IBM Big Data Hub

That said, they do need to understand how to measure the business value created from generative AI across the organization while also using the technology to augment their own skills and capabilities. Get the book: The CEO’s Guide to Generative AI The post The CFO’s role in the age of generative AI appeared first on IBM Blog.

Finance 68
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Bringing an AI Product to Market

O'Reilly on Data

Ethics and Data Science is a short book that helps developers think through data problems, and includes a checklist that team members should revisit throughout the process. When a measure becomes a target, it ceases to be a good measure ( Goodhart’s Law ). Those are questions that every product team needs to think about.

Marketing 363
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5 Ways Data Analytics Sets a New Standard for Revenue Marketing

Smart Data Collective

Data analytics helps with budget planning, forecasting, and unified attribution to improve the overall client experience. With it, you can measure your key performance indicators quickly and more objectively than traditional methods. Even after sales teams take over, revenue marketing involves continuous engagement with leads.

Marketing 111
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Healthcare: Why Integrated Care Systems Need to Focus on AI and not BI

DataRobot Blog

The way the NHS measures urgent care performance is evolving and the change is welcome as the 4-hour standard is a crude method of measurement with patients waiting for increasingly long lengths of time (during March 2022 27% of all patients (in England) requiring emergency admission waited for over 4-hours from decision to admission).