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Data Management // AI/Machine Learning
News & Commentary
Watch Out: 7 Digital Disruptions for IT Leaders
Jessica Davis,  Senior Editor, Enterprise Apps
News
Here are seven digital disruptions that you may not see coming.
By Jessica Davis Senior Editor, Enterprise Apps, 11/18/2019
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Equifax and FICO on Applying Machine Learning to Open Data
Joao-Pierre S. Ruth, Senior Writer
Commentary
Credit rating organizations explore different approaches to understanding a flood of transaction information.
By Joao-Pierre S. Ruth Senior Writer, 11/15/2019
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Stalled Enterprise AI Gets Unstuck from Surprising Source
Jessica Davis,  Senior Editor, Enterprise Apps
News
Enterprises have stalled in deploying AI to production, but platform investments from commercial providers may help them wrangle their open source models.
By Jessica Davis Senior Editor, Enterprise Apps, 11/14/2019
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Why Businesses Should Adopt an AI Code of Ethics -- Now
Guest Commentary, Guest Commentary
Commentary
AI has been abused as part of disinformation campaigns, accused of perpetuating biases, and criticized for overstepping privacy bounds. Letís address this.
By Gary Grossman, Technology Practice Lead, Edelman AI Center of Expertise , 11/14/2019
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How to Build an Optimal Machine Learning Team
Guest Commentary, Guest Commentary
Commentary
An effective ML team is constantly evolving based on many different factors. Assess your specific needs and use cases before putting a team into action.
By Rahul Parundekar, Senior Machine Learning Engineer, Figure Eight , 11/13/2019
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10 Data and Analytics Trends for 2020
Jessica Davis,  Senior Editor, Enterprise Apps
News
Data and analytics are permeating all parts of the digital enterprise. Here are the trends you need to watch in the years ahead.
By Jessica Davis Senior Editor, Enterprise Apps, 11/12/2019
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Robotic Process Automation: 4 Key Considerations
Guest Commentary, Guest Commentary
Commentary
Project sponsors and managers of automation initiatives should carefully consider building these elements into their projects from the outset.
By Kent Landrum and Steven Bradford, Opportune LLP , 11/12/2019
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Why It's Nice to Know What Can Go Wrong with AI
James M. Connolly, Editorial Director, InformationWeek and Network Computing
Commentary
The mistakes and lessons learned early in the lifecycle of AI will serve all of us well in the future.
By James M. Connolly Editorial Director, InformationWeek and Network Computing, 11/11/2019
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The Hunt for the 'Goldilocks Zone' in Tech and Data Policy
Joao-Pierre S. Ruth, Senior Writer
Commentary
During a preview of CES 2020, Gary Shapiro spoke about finding a balance between legislation and leeway for technology implementation.
By Joao-Pierre S. Ruth Senior Writer, 11/9/2019
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Neural Architecture Search Could Tune AIís Algorithmic Heart
James Kobielus, Lead Analyst, SiliconANGLE Wikibon
Commentary
If this approach gains traction, it could have a disruptive impact on the standard practice of data science.
By James Kobielus Lead Analyst, SiliconANGLE Wikibon, 11/8/2019
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How to Overcome Common Setbacks in IT Automation
Guest Commentary, Guest Commentary
Commentary
Donít automate for the sake of automating. Identify which tasks/processes will experience automation benefits that outweigh its upfront and recurring costs.
By Derek Wise, Managing Principal, Ahead , 11/8/2019
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How to Fail: Digital Transformation Mistakes
Jessica Davis,  Senior Editor, Enterprise Apps
News
Don't make these nine digital transformation mistakes that will slow down your efforts to be competitive in a new era.
By Jessica Davis Senior Editor, Enterprise Apps, 11/6/2019
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Top-Paying U.S. Cities for Data Scientists and Data Analysts
Cynthia Harvey, Freelance Journalist, InformationWeek
News
If you're a data scientist, you'll earn the most money on one of the coasts, but data analysts will do better looking for jobs in the center of the country.
By Cynthia Harvey Freelance Journalist, InformationWeek, 11/5/2019
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AI in E-Commerce: Risk or Competitive Advantage?
Guest Commentary, Guest Commentary
Commentary
If AI lets you implement discriminatory pricing or restrict access to a product based on a customerís race, age or gender, should you?
By Mark Kirby, North American Chief Technology and Innovation Officer, Capgemini , 11/4/2019
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IBM Pitches Watson for Enterprise AI Woes
Jessica Davis,  Senior Editor, Enterprise Apps
News
IBM says that Watson can help enterprises struggling to get past the pilot phase with their AI programs.
By Jessica Davis Senior Editor, Enterprise Apps, 10/29/2019
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NLP for Analytics: It's Not Just About Text
Lisa Morgan, Freelance Writer
Commentary
Text analytics has been the biggest use case for NLP, but now BI and analytics vendors are adding it to their products to make them easier to use.
By Lisa Morgan Freelance Writer, 10/29/2019
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AI Ethics: Where to Start
Jessica Davis,  Senior Editor, Enterprise Apps
News
Your AI program needs to incorporate fairness, transparency, security, and ethics. Here are the basics.
By Jessica Davis Senior Editor, Enterprise Apps, 10/25/2019
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Your Cloud and Data Management Strategies are About to Collide
Lisa Morgan, Freelance Writer
Commentary
Companies are moving further into the cloud and undergoing data modernization. What some don't realize yet is that one strategy is better than two.
By Lisa Morgan Freelance Writer, 10/24/2019
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Beware the Pitfalls of Applying AI to Big Data
Guest Commentary, Guest Commentary
Commentary
Decision makers should consider whether conclusions are influenced by shortcomings in the observable data and whether the algorithms properly address biases.
By William Choi and Mat Hughes, Managing Directors, AlixPartners , 10/24/2019
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Achieving Techquilibrium: Get the Right Digital Balance
Jessica Davis,  Senior Editor, Enterprise Apps
News
Reaching the right "techquilibrium" will enable enterprises to compete and lead as they work toward digital transformation, said Gartner analysts during a keynote address at Gartner Symposium
By Jessica Davis Senior Editor, Enterprise Apps, 10/22/2019
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More Stories
Commentary
Study Proposes 5 Primary Traits of Innovation Leaders
Joao-Pierre S. Ruth, Senior Writer,  11/8/2019
Slideshows
Top-Paying U.S. Cities for Data Scientists and Data Analysts
Cynthia Harvey, Freelance Journalist, InformationWeek,  11/5/2019
Slideshows
10 Strategic Technology Trends for 2020
Jessica Davis, Senior Editor, Enterprise Apps,  11/1/2019
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