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News & Commentary
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 Edge Computing Will Change Enterprise IT
Kayla Matthews, Technology Writer
Commentary
Edge computing holds promise for enterprises, particularly in supporting their IoT implementations. However, edge also raises some security concerns.
By Kayla Matthews Technology Writer, 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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Health Data Sharing Will Follow the Open Banking Model
Guest Commentary, Guest Commentary
Commentary
The trend toward API-based banking offers a model for health records, giving patients access to and control over their personal health data.
By Sarah Squire, Senior Technical Architect, Ping Identity , 9/12/2018
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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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What Boards and CEOs Should Be Asking CIOs
Lisa Morgan, Freelance Writer
Commentary
Boards and CEOs are more tech-savvy than they once were, but they still don't always know the best questions to ask CIOs. With the push for digital transformation they need to be armed with the right questions at the right time.
By Lisa Morgan Freelance Writer, 9/10/2018
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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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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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Making Sense of User Consent Under GDPR
Guest Commentary, Guest Commentary
Commentary
Organizations need to understand which U.S. sales and marketing practices are allowed under GDPR, and which are not.
By Chris Babel, CEO, TrustArc , 8/30/2018
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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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Is Digital Reality Ready for the Enterprise?
Guest Commentary, Guest Commentary
Commentary
As virtual, augmented, and mixed reality technologies get ready for the enterprise, the enterprise has to get ready for digital reality.
By Allan Cook, Head of Operations and Strategy for Digital Reality, Deloitte Digital , 8/29/2018
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Citizen Data Science and the Democratization of Analytics
Guest Commentary, Guest Commentary
Commentary
Democratization through machine learning and knowledge-sharing tools is expanding data science capabilities to more and more "citizens” in the broader working community.
By Michael O'Connell, Chief Analytics Officer, TIBCO , 8/28/2018
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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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