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Highlights from the Strata Data Conference in San Francisco 2019

O'Reilly on Data

Watch highlights from expert talks covering AI, machine learning, data analytics, and more. People from across the data world are coming together in San Francisco for the Strata Data Conference. The journey to the data-driven enterprise from the edge to AI. Data warehousing is not a use case.

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Leveraging Data Science To Grow And Manage Your Team

Smart Data Collective

When applied to the hiring process, data analytics can help you strategically grow and manage your team with greater accuracy and success. More companies are using big data to create a stronger company culture. Moreover, big data can also improve talent retention by 56% and better clarify skills gaps by 50%.

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What you need to know about product management for AI

O'Reilly on Data

Machine learning adds uncertainty. Underneath this uncertainty lies further uncertainty in the development process itself. There are strategies for dealing with all of this uncertainty–starting with the proverb from the early days of Agile: “ do the simplest thing that could possibly work.”

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Why CIOs should invest in digital through economic headwinds

CIO Business Intelligence

Resilient cybersecurity Despite the clamour for new digital investments, Gartner’s analysts did recognise that this would represent a new cybersecurity risk, with some attributing the increased spending in security over the next year down to ongoing uncertainty regarding Russia’s invasion of Ukraine.

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Rebooting expectations to connect and lead in more meaningful ways

CIO Business Intelligence

And they introduced this idea, the VUCA world: Volatile, Uncertainty, Complex, and Ambiguous. So while vision will be disproportionately rewarded, uncertainty yields to understanding, complexity yields to clarity, and ambiguity yields to agility. On metrics: It’s been said a lot that data is the new oil.

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Data Teams and Their Types of Data Journeys

DataKitchen

A Data Journey supplies real-time statuses and alerts on start times, processing durations, test results, and infrastructure events, among other metrics. With this information, data teams can know if everything ran on time and without errors and immediately identify the parts that didn’t.

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What’s so Special About 50:50?

Andrew White

After sifting through several year’s worth of formally written data, analytics, and data and analytics strategies, we found about 85% of them did not include a measurable business outcome. See Data and Analytics Strategies Need More-Concrete Metrics of Success. It’s called ROAR.