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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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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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Study Proposes 5 Primary Traits of Innovation Leaders
Joao-Pierre S. Ruth, Senior Writer
Commentary
In a survey commissioned by Mastercard, Harvard Business Review drilled down on the key attributes that drive actions of innovators.
By Joao-Pierre S. Ruth Senior Writer, 11/8/2019
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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 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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How IT Supports the Data Science Operation
Mary E. Shacklett, Mary E. Shacklett
Commentary
Data science and IT no longer are separate disciplines. Think of it as a partnership.
By Mary E. Shacklett Mary E. Shacklett, 11/4/2019
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10 Strategic Technology Trends for 2020
Jessica Davis,  Senior Editor, Enterprise Apps
News
Here are the technology trends CIOs and IT leaders need to watch next year, according to Gartner.
By Jessica Davis Senior Editor, Enterprise Apps, 11/1/2019
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Forrester Analyst: Next Gen of Information Fabric Is Close
Joao-Pierre S. Ruth, Senior Writer
Commentary
It is time to stop building monolithic systems and start weaving new data fabric that can manage information dynamically, according to Forrester's Michele Goetz.
By Joao-Pierre S. Ruth Senior Writer, 11/1/2019
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Transform IT to Become the Agile Business Partner
Crystal Bedell, Technology Writer
Commentary
Top-performing IT organizations are three times more likely to have positioned themselves as "partners" with the business units that they support, according to research by The Hackett Group.
By Crystal Bedell Technology Writer, 10/31/2019
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Creative Ways to Get More Mileage from Your Data
Guest Commentary, Guest Commentary
Commentary
Use analytics to your advantage to support your HR department, sales and marketing teams, team managers and ultimately your customers.
By Rafael Lourenco, EVP, ClearSale , 10/30/2019
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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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Why Design Thinking Will Save Businesses From Themselves
Guest Commentary, Guest Commentary
Commentary
What youíll learn about customers by incorporating design thinking will improve operations and make your bottom line much easier to achieve.
By Rachel Armstrong, Consulting Studio Partner, Globant , 10/28/2019
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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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Learning to Navigate Multi-Cloud at ESCAPE/19 and ONUG
Joao-Pierre S. Ruth, Senior Writer
News
Experts at a pair of conferences in New York shared insight on how to address challenges and leverage advantages of multi-cloud.
By Joao-Pierre S. Ruth Senior Writer, 10/23/2019
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State of the Cloud
State of the Cloud
Cloud has drastically changed how IT organizations consume and deploy services in the digital age. This research report will delve into public, private and hybrid cloud adoption trends, with a special focus on infrastructure as a service and its role in the enterprise. Find out the challenges organizations are experiencing, and the technologies and strategies they are using to manage and mitigate those challenges today.
Commentary
Why It's Nice to Know What Can Go Wrong with AI
James M. Connolly, Editorial Director, InformationWeek and Network Computing,  11/11/2019
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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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