Fri.Jun 26, 2020

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Four Reasons CDAOs Should Prioritize Data and AI Ethics

Corinium

The threats ethical challenges pose to public trust in AI systems are growing rapidly as organizations deploy these technologies in ever more sophisticated ways. As the impact AI technologies have on people’s lives grows, businesses can’t afford to take the trust people place in AI tools for granted.

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Do I Need a Data Catalog?

erwin

If you’re serious about a data-driven strategy , you’re going to need a data catalog. Organizations need a data catalog because it enables them to create a seamless way for employees to access and consume data and business assets in an organized manner. Given the value this sort of data-driven insight can provide, the reason organizations need a data catalog should become clearer.

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Video: Data Conversations Over Coffee with Libby Duane

Corinium

In this episode I'm joined by Libby Duane who is the Chief Customer & Co-Founder of Alteryx to talk about Analytics Process Automation & skills development in analytics.

Analytics 195
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Five steps to jumpstart your data integration journey

IBM Big Data Hub

As coined by British mathematician Clive Humby, "data is the new oil." Like oil, data is valuable but it must be refined in order to provide value. Organizations need to collect, organize, and analyze their data across multi-cloud, hybrid cloud, and data lakes. Yet traditional ETL tools support only a limited number of delivery styles and involve a significant amount of hand-coding.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Curiosity-Driven Learning Through Next State Prediction

Dataiku

In the last few years, we’ve seen a lot of breakthroughs in reinforcement learning (RL). From 2013 with the first deep learning model to successfully learn a policy directly from pixel input using reinforcement learning to the OpenAI Dexterity project in 2019, we live in an exciting moment in RL research.

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The Missing Link in Enterprise Data Governance: Metadata

Octopai

Steve, the Head of Business Intelligence at a leading insurance company, pushed back in his office chair and stood up, waving his fists at the screen. “Why aren’t the numbers in these reports matching up? We’re dealing with data day in and day out, but if isn’t accurate then it’s all for nothing!” In a panic, he went from desk to desk asking his teammates if they had been working on the same reports that day.

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A Report on Reporting: Five Things We Learned

Juice Analytics

Reporting is broken, long live reporting. For all the talk about dashboards and data visualization, the conversation about reporting can seem like a deafening silence. That’s why I’ve started to refer to reporting as the dark matter of the modern workplace. We’ve set about studying it, starting with a survey of 71 people who do reporting as part of their jobs.

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Sirius Wins Zerto’s Top Reseller of the Year Award

CDW Research Hub

Every year Zerto considers more than 1,500 partners for awards named at its annual ZertoCON user conference, which draws thousands of IT professionals to learn and discuss best practices around data protection, ransomware, disaster recovery, and mobility across hybrid and multi-cloud environments. This year, Sirius was named Zerto’s Top Reseller of the Year in recognition of Sirius’ role in the IT resilience market and help in rolling out Zerto’s technologies to organizations that will shape th

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Our Top 20 Most-Read Data and Analytics Research Last Week (to June 21)

Andrew White

Click here for an interactive PDF to connect to the notes directly on: Download. Frank Buytendijk’s new note, Tie Your Data and Analytics Initiatives to Stakeholders and Their Business Goals , published a couple of weeks ago, just moved up the charts and was our most-read piece of research across D&A excluding branded notes such as Magic Quadrants.

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Data Visualizations in Python and R

Sisense

Blog. As datasets become bigger and more complex, only AI, materialized views, and more sophisticated coding languages will be able to glean insights from them. In Next-Level Moves , we dig into the ways advanced analytics are paving the way for the next wave of innovation. The human brain processes visual data better than any other kind of data, which is good because about 90% of the information our brains process is visual.

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.