article thumbnail

The Fourth Industrial Revolution Risks Leaving Women Behind

Corinium

The term was coined in 2016 by Klaus Schwab, the founder and executive chairman of the World Economic Form. The Fourth Industrial Revolution is, ostensibly, upon us.

Risk 150
article thumbnail

What is Model Risk and Why Does it Matter?

DataRobot Blog

This provides a great amount of benefit, but it also exposes institutions to greater risk and consequent exposure to operational losses. The stakes in managing model risk are at an all-time high, but luckily automated machine learning provides an effective way to reduce these risks. What is a model?

Risk 111
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

AI For Video Editing Software: Do The Benefits Outweigh The Risks?

Smart Data Collective

In 2016, this was demonstrated by IBM when they developed a new machine learning algorithm to edit the video footage for the trailer for the upcoming horror film Morgan. However, there are other risks from a societal standpoint. There is already a risk that they can prejudicially tent the jury.

Risk 96
article thumbnail

A Few 2016 Technology Predictions

In(tegrate) the Clouds

I enjoy the end of the year technology predictions, even though it’s hard to argue with this tweet from Merv Adrian: By 2016, 99% of readers will be utterly sick of predictions. 2016 will be the year of the data lake. In 2016, which software company will be the biggest game-changer for the long term? Does Elon Musk count?

article thumbnail

Rising Tide Rents and Robber Baron Rents

O'Reilly on Data

Since launching its Marketplace advertising business in 2016, Amazon has chosen to become a “pay to play” platform where the top results are those that are most profitable for the company. Yet many of the most pressing risks are economic , embedded in the financial aims of the companies that control and manage AI systems and services.

article thumbnail

Eye of the Beholder

O'Reilly on Data

In 2016, Microsoft’s Tay chatbot was shut down after making racist and sexist comments. We need to think about the risks and about how much someone would be harmed when the AI makes a mistake.” Although the edtech example is hypothetical, there have been enough cases of AI bias in the real world to warrant alarm.

article thumbnail

8 Ways to Fine-tune your SQL Queries (for production databases)

Sisense

Taxing the production database for exploratory or duplicative reports is an unnecessary risk. For example, let’s assume 200 sales have been made in the year 2016, and we want to query for the number of sales per customer in 2016. HAVING Sales.LastSaleDate BETWEEN #1/1/2016# AND #12/31/2016#. FROM Customers.

Sales 111