Thu.Aug 08, 2019

5 important characteristics of an effective KPI

Phocas

For a growing business to remain competitive, it’s important to regularly track how its company-wide goals are progressing. Setting key performance indicators (KPIs) is one of the easiest ways to do this. Strategy, Management and Performance Job Role - Executive

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The Most Important Step Toward Ethical Analytics: Intentionality

DataFloq

Lately, I’ve had a lot of conversations with clients about the intersection of ethics and analytics. I’ve also been presenting on the topic at a number of conferences. The interest in ethics has exploded recently, driven in large part by the rise of artificial intelligence.

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Knowing Your Neighbours: Machine Learning on Graphs

KDnuggets

Graph Machine Learning uses the network structure of the underlying data to improve predictive outcomes. Learn how to use this modern machine learning method to solve challenges with connected data.

Self-Driving Cars & Cybersecurity: Will They Be Safe Enough?

DataFloq

Consumers and politicians alike have been watching advancements in autonomous vehicles with bated breath. With cutting-edge technology like blockchain advancements and AI finding its way into vehicles at a rapid pace, safety concerns are at the forefront of public discourse.

Risk 195

Gartner Report - Introducing DataOps Into Your Data Management Discipline

Data teams are increasingly under pressure to deliver data to support a range of consumers and use cases. DataOps techniques can address the data delivery challenges through a more agile and collaborative approach to building and managing data pipelines.

Big Data Makes Black Hat Hackers More Terrifying Than Ever

Smart Data Collective

Big data is the lynchpin of new advances in cybersecurity. Unfortunately, predictive analytics and machine learning technology is a double-edged sword for cybersecurity.

The Growing Role of the Chief Data Officer

Tamr

The MITCDOIQ Symposium is an event designed to help “accelerate the adoption of the role of the Chief Data Officer (CDO)” through the exchange of leading edge ideas and discussions.

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Data Science: Scientific Discipline or Business Process?

KDnuggets

Simply put, data science is an attempt to understand given data using the scientific method. That's why data science is a scientific discipline. You are free (and encouraged!) to apply data science to business use cases, just as you are encouraged to apply it to many other domains. 2019 Aug Opinions Business Data Science

Themes and Conferences per Pacoid, Episode 12

Domino Data Lab

Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. Introduction. Welcome back to our monthly burst of themespotting and conference summaries.

Inside Pluribus: Facebook’s New AI That Just Mastered the World’s Most Difficult Poker Game

KDnuggets

The reasons why Pluribus represents a major breakthrough in AI systems might result confusing to many readers. After all, in recent years AI researchers have made tremendous progress across different complex games. However, six-player, no-limit Texas Hold’em still remains one of the most elusive challenges for AI systems. 2019 Aug Tutorials, Overviews AI Facebook Poker

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5 things to know about Insight (spoiler: it’s not a bootcamp!)

Insight

5 things to know about Insight (Spoiler: it’s not a bootcamp!)

IT 81

Data Analytics in the Cloud for Developers and Founders

Speaker: Javier Ramírez, Senior AWS Developer Advocate, AWS

You have lots of data, and you are probably thinking of using the cloud to analyze it. But how will you move data into the cloud? In which format? How will you validate and prepare the data? What about streaming data? Can data scientists discover and use the data? Can business people create reports via drag and drop? Can operations monitor what’s going on? Will the data lake scale when you have twice as much data? Is your data secure? In this session, we address common pitfalls of building data lakes and show how AWS can help you manage data and analytics more efficiently.

Machine Learning, Trust and Stephen Covey

Decision Management Solutions

Trust is a big deal when it comes to machine learning. Black box” algorithms, concerns about bias and a sense that data scientists may know everything about the data but nothing about the business all undermine trust in machine learning models. Indeed, building machine learning models that can be, will be, trusted is regarded as a critical issue for many data science teams. Stephen Covey once wrote a famous list about trust – The 13 behaviors of a high trust leader.

DataRobot in the Classroom: INSEAD Business School + Queen's University

DataRobot

You can’t appreciate the good without first going through the difficult. AI Education

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