AI/Machine Learning News, Analysis, & Advice - InformationWeek
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News & Commentary
The Coming Wave of Regulation over Facial Recognition
James Kobielus, Lead Analyst, SiliconANGLE Wikibon
Commentary
More applications utilizing facial recognition are inevitable in the public and private sectors, and those will generate plenty of new rules and regulations.
By James Kobielus Lead Analyst, SiliconANGLE Wikibon, 10/18/2018
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Structure Your Analytics Team for Success in the Age of AI
Guest Commentary, Guest Commentary
Commentary
The data team structure that your company has used for a few years needs to turn its focus to results and putting analytics tools in the hands of business units.
By Doug Bordonaro, Chief Data Evangelist, ThoughtSpot , 10/17/2018
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10 Top Strategic Predictions for 2019
Jessica Davis,  Senior Editor, Enterprise Apps
News
Blockchain, AI, facial recognition? Here are Gartner's top strategic predictions for 2019 and beyond, delivered during the Gartner Symposium/ITExpo.
By Jessica Davis Senior Editor, Enterprise Apps, 10/17/2018
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5 Imperatives for CIO and Enterprise Success
Jessica Davis,  Senior Editor, Enterprise Apps
News
Business change is accelerating, and technology is driving the change. To succeed in this dynamic environment, CIOs must implement these five imperatives.
By Jessica Davis Senior Editor, Enterprise Apps, 10/16/2018
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The Transformation of Healthcare with AI and Machine Learning
Guest Commentary, Guest Commentary
Commentary
Artificial intelligence and machine learning already are having an impact in a sector that concerns all of us, healthcare.
By Mark Johnston, Director of Global Business Development, Healthcare, Life Sciences and Agricultural Technology, AWS , 10/16/2018
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Six Steps for Businesses to Earn AI Trust
Guest Commentary, Guest Commentary
Commentary
The growing reliance on AI and machine learning in the coming decades can have a negative impact on many jobs while raising new social issues. Yet, businesses can minimize those impacts.
By Gary Grossman, Technology Practice Lead, Edelman AI Center of Expertise , 10/15/2018
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Experian CIO: IT Standardization Drives Agile
Jessica Davis,  Senior Editor, Enterprise Apps
News
Consumer credit reporting company Experian's IT infrastructure and data storage is measured in petabytes, so standardizing on a technology stack has meant a lot of change and big rewards.
By Jessica Davis Senior Editor, Enterprise Apps, 10/11/2018
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How Artificial Intelligence Will Go To the Next Level
Guest Commentary, Guest Commentary
Commentary
Continued broad development of AI technologies and concepts require new approaches to collaboration between industry organizations and academia.
By David Cox, Director, MIT-IBM Watson AI Lab, IBM Research , 10/10/2018
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Machine or Human? How We’re Reallocating Work
Guest Commentary, Guest Commentary
Commentary
In the emerging, AI-powered workplace, there's plenty of work to be done, some suited for machines and some suited for humans.
By Rostow Ravanan, CEO, Mindtree , 10/10/2018
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Don’t Take the ACLU Report on Face Recognition at Face Value
Guest Commentary, Guest Commentary
Commentary
Face recognition can be a valuable tool that makes our lives easier and safer, but it has to be done right.
By Bhargav Avasarala, Machine Learning Lead, Ever AI , 10/8/2018
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Cloudera Hortonworks Merger Aimed at Enterprise
Jessica Davis,  Senior Editor, Enterprise Apps
News
Two of the big three independent Hadoop distributors -- Cloudera and Hortonworks -- are merging, and the big winner may be the enterprise.
By Jessica Davis Senior Editor, Enterprise Apps, 10/7/2018
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What Does a Degree in Data Science Really Mean?
Kayla Matthews, Technology Writer
Commentary
Whether you need to pursue higher education for a job in data science really boils down to your existing skill set and specific goals.
By Kayla Matthews Technology Writer, 10/5/2018
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ADP Harnesses Data for HR Insights
Jessica Davis,  Senior Editor, Enterprise Apps
News
ADP has created a data benchmarking service for salary, compensation, and other HR needs.
By Jessica Davis Senior Editor, Enterprise Apps, 10/4/2018
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Why CIOs Will Lead Digital Transformation
Guest Commentary, Guest Commentary
Commentary
IT executives, with their view into technology's potential, are leading key innovation efforts, and it looks like more of their peers will do the same.
By Raj Sabhlok, President, Zoho Corp. , 10/3/2018
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Pros and Cons of Chatbots in the IT Helpdesk
Andrew Froehlich, President & Lead Network Architect, West Gate Networks
Commentary
As AI technology evolves it's worth a closer look at what chatbots can do to provide better end user support on help desk requests.
By Andrew Froehlich President & Lead Network Architect, West Gate Networks, 10/2/2018
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10 Ways AI Will Alter the Future of Work
Cynthia Harvey, Contributor, NetworkComputing
News
No matter what industry you're in, artificial intelligence is likely to affect your job. Here's how.
By Cynthia Harvey Contributor, NetworkComputing, 10/1/2018
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AI & Machine Learning: An Enterprise Guide
James M. Connolly, Executive Managing Editor, InformationWeekEditor in Chief
Commentary
A collection of information resources designed to help enterprise IT professionals launch and advance their artificial intelligence, machine learning and automation initiatives.
By James M. Connolly Executive Managing Editor, InformationWeekEditor in Chief, 9/27/2018
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Continuous Processes Feed the Gig Economy
Lisa Morgan, Freelance Writer
Commentary
As more business processes move toward real-time and near-real-time, companies are finding themselves with skill shortages. One good way to fill the gaps is with "gig workers" who can be scaled up or down as required.
By Lisa Morgan Freelance Writer, 9/25/2018
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The Robots are Coming: Safeguard Your Job
Guest Commentary, Guest Commentary
Commentary
Get ready for a radical shift in job roles and functions, with greater value being placed on different or new skillsets.
By Dennis Walsh, President, Americas & APAC, Redwood Software , 9/24/2018
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Tools Tackle AI's Bias, Trust Problem
Jessica Davis,  Senior Editor, Enterprise Apps
News
AI and machine learning deployments are hitting the mainstream in enterprises, but executives still hesitate to blindly accept insights from inside the "black box" without seeing the logic behind them.
By Jessica Davis Senior Editor, Enterprise Apps, 9/20/2018
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More Stories
News
A Data-Centric Approach to the US Census
James M. Connolly, Executive Managing Editor, InformationWeekEditor in Chief,  10/12/2018
News
10 Top Strategic Predictions for 2019
Jessica Davis, Senior Editor, Enterprise Apps,  10/17/2018
Commentary
AI & Machine Learning: An Enterprise Guide
James M. Connolly, Executive Managing Editor, InformationWeekEditor in Chief,  9/27/2018
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