WEBINAR: Building Accessible Dashboards in Tableau - 15 October 2019

Data Science Central Webinar Series Event

Building Accessible Dashboards in Tableau Join us for this latest DSC Webinar on October 15th, 2019 When you create a dashboard, you want to ensure that everyone can see and understand the data. This means creating dashboards with accessibility in mind for people with a variety of disabilities, including various vision impairments, learning disabilities, limited movement, or a combination of these. In this latest Data Science Central webinar you will learn how to create and publish dashboards that are accessible to a wide variety of users. You’ll also learn about the Web Content Accessibility Guidelines and how to apply them in Tableau, so that your dashboards meet Section 508 and EN 301 549 requirements. Speaker: Kyle Gupton, Director, Product Management -- Tableau Hosted by: Stephanie Glen, Editorial Director -- Data Science Central   Title:  Building Accessible Dashboards in Tableau Date:  Tuesday, October 15th, 2019 Time:  9:00 AM - 10:00 AM PDT   Space is limited so please register early: Reserve your Webinar seat now

WEBINAR: Forecasting Using TensorFlow and FB's Prophet - 17 October 2019

Data Science Central Webinar Series Event

Forecasting Using TensorFlow and FB's Prophet Join us for this latest DSC Webinar on October 17th, 2019 We live in a time where we are able to monitor everything--servers, containers, fitness levels, power consumption, etc. Making predictions on time series data is often just as important as monitoring is. In this presentation, we will learn about how InfluxDB can be used with TensorFlow and FB's Prophet to make predictions and solve data engineering problems. Speaker: Anais Dotis-Georgiou, Developer Advocate -- InfluxData Hosted by: Rafael Knuth, Contributing Editor -- Data Science Central   Title:  Forecasting Using TensorFlow and FB's Prophet Date:  Thursday, October 17th, 2019 Time:  9:00 AM - 10:00 AM PDT   Space is limited so please register early: Reserve your Webinar seat now

The Seven Patterns Of AI by Kathleen Walch via @forbes

AI use cases tend to fall into one or more of these seven common categories. Kathleen Walch explains in this article from Forbes.

This is a great list and I think could be used in order to work out what COULD be done and use it to plan a roadmap for the future.

DeepMind Has Quietly Open Sourced Three New Impressive Reinforcement Learning Frameworks by @jrdothoughts via @Medium

DeepMind has been releasing a series of open source technologies to help streamline the adoption of deep reinforcement learning (DRL) methods including the recent release of the OpenSpiel, SpriteWorld, and bsuite DRL stacks.

This is great news for anyone who wants or needs to try DRL  Definitely something to look at.

WEBINAR: Master Data Management at Scale - 29 October 2019

Data Science Central Webinar Series Event Master Data Management at Scale Join us for the latest DSC Webinar on October 29th, 2019 Master data management (MDM) software turned 15 years old this year. Originally launched in 2004 by SAP, master data management systems aimed to help resolve the data unification problem by creating a central source of standardized references to customers, products, employees, suppliers, physical assets and other data across their many IT systems. MDM is valuable, but it’s also slow, labor-intensive, and costly. As the scale of MDM projects increases to millions of entities and hundreds or thousands of data sources, the traditional methods often fail. Mike Stonebraker will share his view on how MDM technology and MDM organizations must change to fulfill the promise of MDM at scale. In this latest Data Science Central webinar, we will review: Why large enterprises need data management solutions that solve data mastering challenges at scale Why traditional, rule-based, data mastering options are struggling to keep up How Machine Learning can be used to address large-scale data mastering challenges Featured Speaker: Mike Stonebraker, CTO & Co-Founder -- Tamr, Inc. Hosted by: Stephanie Glen, Editorial Director -- Data Science Central Title:  Master Data Management at Scale Date:  Tuesday, October 29th, 2019 Time:  9 AM - 10 AM PDT Space is limited so please register early: Reserve your Webinar seat now

The good, the bad, and the ugly of becoming data driven by Cindi Howson via @infomgmt

It seems for all the investments that organizations make in gathering and generating data, few are actually able to turn that data into actionable insights.

Can they connect all of these different datasets, in many different formats, and can they then make sense of it - this is not simple nor is it quick.

As FTC cracks down, data ethics is now a strategic business weapon by Daniel Wu via @TechCrunch

Five billion dollars may not be much for a behemoth like Facebook, but it’s still the largest amount the Federal Trade Commission has ever levied for violating data privacy. With the FTC cracking down, many companies are taking a new look at their privacy protections.

This is a well thought out article that makes some very good points. I certainly think very hard about sharing any of my own personal data and don't trust Facebook as far as I could throw them (nowhere).