AI/Machine Learning News, Analysis, & Advice - InformationWeek
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News & Commentary
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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Where AI Can Turn 'Buzz' into 'Biz' Today
Guest Commentary, Guest Commentary
Commentary
AI can expedite manual processes that exist throughout an enterprise, but the nature of the human insight is necessary to rationally manage these processes and make contextual decisions.
By Bas de Vos, Director of the Innovative Think Tank, IFS Labs , 9/19/2018
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How Enterprises Can Scale their Machine Learning
Jessica Davis,  Senior Editor, Enterprise Apps
News
Enterprise organizations are already seeing benefits from their machine learning practices, but Forrester Research says they've only scratched the surface.
By Jessica Davis Senior Editor, Enterprise Apps, 9/19/2018
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Building a Smart City Doesn’t Have a Common Blueprint
Guest Commentary, Guest Commentary
Commentary
While there is no exact definition of what a smart city must offer its citizens, there is also no shortage of "smart" initiatives.
By Jean Turgeon, VP and Chief Technologist, Avaya , 9/18/2018
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Hire the Right Machine Learning Talent
Jessica Davis,  Senior Editor, Enterprise Apps
News
Decision intelligence engineering applies the technology already available to solve the business problems that you have today.
By Jessica Davis Senior Editor, Enterprise Apps, 9/17/2018
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Risk Management Is Evolving: Are You On Board?
Lisa Morgan, Freelance Writer
Commentary
IT risk management is a mature topic, but it continues to evolve with technology. As rules-based systems are supplemented with self-learning systems, IT departments, risks managers and business leaders need to update their thinking.
By Lisa Morgan Freelance Writer, 9/17/2018
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AI Is a Powerful Ally in Public Safety - Responsible Use Is Paramount
Guest Commentary, Guest Commentary
Commentary
As governments employ AI in public safety applications they have to stay laser-focused on building public trust in the outcomes.
By Ger Daly, Senior Managing Director, Accenture , 9/14/2018
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Ethics, Privacy Issues Highlight Strata Data Conference
Jessica Davis,  Senior Editor, Enterprise Apps
News
Machine learning, artificial intelligence, and unified data platforms are the focus for data scientists attending the Strata Data Conference in New York.
By Jessica Davis Senior Editor, Enterprise Apps, 9/13/2018
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Tech Companies Poach AI Talent from Universities
Jessica Davis,  Senior Editor, Enterprise Apps
News
In a tight market for AI and machine learning, tech companies have always relied on a secret weapon -- tapping into the talent available in academia. But who will train tomorrow's AI experts?
By Jessica Davis Senior Editor, Enterprise Apps, 9/13/2018
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AIOps to Drive Big IT Pivot
Jessica Davis,  Senior Editor, Enterprise Apps
News
AIOps takes the vast amounts of machine data generated by IT infrastructure and ingests, monitors, and analyzes it to ultimately predict issues before they occur.
By Jessica Davis Senior Editor, Enterprise Apps, 9/11/2018
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Enter the Co-Economy: A New Era for Innovation
Guest Commentary, Guest Commentary
Commentary
The days when businesses could succeed with innovation without partnering are pretty much gone.
By Maciej Kranz, VP Strategic Innovation, Cisco , 9/10/2018
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Panacea or Alchemy the Truth About AI
Guest Commentary, Guest Commentary
Commentary
Is artificial intelligence a date with the devil or natural evolution?
By Gary Grossman, Technology Practice Lead, Edelman AI Center of Expertise , 9/7/2018
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Help Wanted: Data Engineers Who Fill Enterprise Need
Jessica Davis,  Senior Editor, Enterprise Apps
News
Data engineers build the infrastructure and tools that data scientists and business users need to perform analysis and create machine learning models. Maybe that's why demand is high for this emerging category of IT pro.
By Jessica Davis Senior Editor, Enterprise Apps, 9/6/2018
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Yes, Data Is the New Oil in the Digital Economy
Guest Commentary, Guest Commentary
Commentary
Leveraged efficiently, data can help an organization understand its customer needs, recruit the right talent, and define a strategy for the 21st century.
By Mark Minevich, principal founder, Going Global Ventures , 9/5/2018
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Meet the Automation Architect
Emily Johnson, Digital Content Editor, InformationWeek
News
There might be plenty of career opportunities for those who can bridge technology, people and processes.
By Emily Johnson Digital Content Editor, InformationWeek, 9/5/2018
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10 Roadblocks to Becoming a Data-Driven Enterprise
Cynthia Harvey, Contributor, NetworkComputing
News
Nearly 100% of enterprises want to become more data-driven, but less than a third have accomplished that goal. A new survey sheds light on the reasons why.
By Cynthia Harvey Contributor, NetworkComputing, 9/4/2018
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VC Investments Confirm: It's a Software Kind of World
Lisa Morgan, Freelance Writer
News
2018's bullish economy is reflected in venture capital and private equity investments. Software drives the majority of deals since software powers just about everything now. Here's where the money is flowing and why.
By Lisa Morgan Freelance Writer, 9/3/2018
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Four Easy Steps to Intelligent Automation Success
Guest Commentary, Guest Commentary
Commentary
If you are losing sleep over concerns about how to implement intelligent automation in your organization, you aren't alone.
By Sharda Cherwoo, EY Americas Tax Intelligent Automation/RPA Leader , 8/31/2018
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Stop Talking Gobbledygook to the Business
Jen Underwood, Impact Analytix
Commentary
For all of the promise that AI and machine learning have for an enterprise, you won't realize the technology's potential if data scientists blather in data science speak.
By Jen Underwood Impact Analytix, 8/29/2018
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More Stories
News
IT Budgets: Traditional Still Bigger than Cloud
Jessica Davis, Senior Editor, Enterprise Apps,  9/20/2018
Commentary
Building a Smart City Doesn't Have a Common Blueprint
Guest Commentary, Guest Commentary,  9/18/2018
Commentary
AWS vs. Azure: Users Share Their Experiences
Guest Commentary, Guest Commentary,  9/7/2018
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