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Generative AI Can Contribute $4.4 Trillion Annually: McKinsey

Analytics Vidhya

With its ability to automate work activities and augment […] The post Generative AI Can Contribute $4.4 A recent report by McKinsey suggests that the impact of gen AI on productivity could add trillions of dollars in value annually across various industries and sectors. Trillion Annually: McKinsey appeared first on Analytics Vidhya.

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Japanese Contributions to Data Visualisation

The Data Visualisation Catalogue

Pareto was known for his contribution to the development of Elite Theory and the observation that 80% of the wealth in Italy belonged to about 20% of the population. The post Japanese Contributions to Data Visualisation appeared first on The Data Visualisation Catalogue Blog. It wasn’t until management consultant Joseph M.

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Business Pace Contributes to Data Challenges

TDAN

The increasing speed and pace of business certainly contributes to several data challenges (quality, timeliness, availability and, most important, usability of the data).

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Why contribute to open source?

O'Reilly on Data

Continue reading Why contribute to open source? Julia Meinwald outlines effective ways to support the unseen labor maintaining a healthy open source ecosystem.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction. As a concept, Developer Experience (DX) has gained significant attention in the tech industry.

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Sirius Named by Check Point for Overall Booking Contribution

CDW Research Hub

Sirius is honored to be recognized by Check Point Software Technologies as the Overall Booking Contribution leader for 2020. The post Sirius Named by Check Point for Overall Booking Contribution appeared first on Sirius Computer Solutions.

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The AI Contribution to Decision-Making

DataRobot Blog

The post The AI Contribution to Decision-Making appeared first on DataRobot AI Cloud. But a focus on decisions, on the “so what” of AI models, can break down those barriers and allow AI models to be deployed and integrated into business operations where they can create real business value. From Predictions to Real-World Results. Sign Up Now.

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Understand how your work contributes to your company's strategy and learn to apply frameworks to ensure your features solve user problems that drive business impact. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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Supply Chain Network Design in 30 Minutes

Speaker: Catalina Perez Leiva

Does it overly contribute to your costs? Is your supply chain complex? Has Excel reached its limits for mathematical optimization? Learn how AIMMS Network Design helps you run various scenarios to make informed decisions, all with personal, high-care implementation support and onboarding.

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Up Your Analytics Game: How to Empower People to Take Action

Speaker: Tom Davenport, President’s Distinguished Professor of Information Technology and Management, Babson College

It requires both an increasingly forward-looking workforce strategy, and quantification of HR’s business contributions. Because the demands on HR have changed significantly, as HR leaders move into a more strategic role. April 30, 2019 11.00 AM PST, 2.00 PM EST, 7.00

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Data Science Fails: Building AI You Can Trust

Organizations must feel confident that human error did not inadvertently contribute to AI bias that resulted in inaccurate or misleading findings. Any organization that is considering adopting AI at their organization must first be willing to trust in AI technology.

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The Evolution of the Data Team: Lessons Learned From Growing a Team From 3 to 20

Speaker: Mindy Chen, Director of Decision Science, Hudl

Using the specific case of Hudl to explore the stages of evolution within the data team and what factors contributed to that evolution. In this webinar, Rebecca and Mindy will cover: A look at how typical data teams are structured with examples from Snowplow customers, and discuss the pros and cons of each.

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AR/VR Simulations for Sustainable, Regenerative, Circular Cities

Speaker: Nik Gowing, Brenda Laurel, Sheridan Tatsuno, Archie Kasnet, and Bruce Armstrong Taylor

When STEAM (science, technology, engineering, arts, mathematics) students can be directly engaged in contributing to the creation of smart, circular-city outcomes? Top-down professional planning and decision-making is a path well-trod, what could be possible and available when we can meaningfully engage broad-based "citizen-scientists?"