6 Reasons Why AI Projects Fail
CIO, August 6th, 2019
Data issues are among the chief reasons why AI projects fall short of expectations. But if you can learn from the mistakes and commit to the long term, your AI efforts are more likely to pay off

"Eighteen months ago, Mr. Cooper launched an intelligent recommendation system for its customer service agents to suggest solutions to customer problems. The company, formerly known as Nationstar, is the largest non-bank mortgage provider in the U.S., with 3.8 million customers, so the project was viewed as a high-profile cost-saver for the company. It took nine months to figure out that the agents weren't using it, says CIO Sridhar Sharma. And it took another six months to figure out why..."

AI Careers And Salaries: 7 Telling Statistics
The Enterprisers Project, August 6th, 2019
What are the most in-demand and highest-paying artificial intelligence jobs now? Where is demand strongest? How many jobs will AI create? Let's examine the data

"It's no surprise that the artificial intelligence talent market is white-hot right now. The business value created by AI will reach $3.9 trillion in 2022, according to Gartner. IDC says worldwide spending on cognitive and artificial intelligence systems will reach $77.6 billion during the same year. And cognitive capabilities are poised to have an impact on nearly every corporate IT function..."

AI Ethics Guidelines Every CIO Should Read
Information Age, August 7th, 2019
You don't need to come up with an AI ethics framework out of thin air. Here are five of the best resources to get technology and ethics leaders started

"Technology experts predict the rate of adoption of artificial intelligence and machine learning will skyrocket in the next two years. These advanced technologies will spark unprecedented business gains, but along the way enterprise leaders will be called to quickly grapple with a smorgasbord of new ethical dilemmas. These include everything from AI algorithmic bias and data privacy issues to public safety concerns from autonomous machines running on AI..."

Gartner paints a nice hybrid AI approach where humans and machines work together through 2030 to drive business value

"Artificial intelligence will drive worker productivity in the years ahead primarily through decision support as humans everywhere get a crutch when it is time to make a call, according to a Gartner estimate.

Gartner estimates that artificial intelligence augmentation will create $2.9 trillion in business value and 6.2 billion hours of worker productivity in 2021..."

Today I have some marketing tools for a winning artificial intelligence strategy. Here's four links with tips and tricks to kick start your work week

"Building a brand involves using the latest technology that will grow your influence and reach. Your business needs the latest tools in order to keep up to date with marketing trends. Want to improve your reach online? Take advantage of these resources, and let me know how these work for you!..."

See all Archived IT - AI articles See all articles from this issue