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How to Operationalize Privacy and Data Governance for AI

Enterprise approaches to data privacy and governance need a refresh when it comes to AI because things can go wrong at scale, fast.

By Lisa Morgan Freelance Writer, 4/22/2019

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Data Privacy, Transparency Get New Weapon

Osano and its browser plugin, Privacy Monitor, aim to provide consumers with transparency regarding consumer data privacy policies. The company will release data supply chain tools for companies later this year.

By Jessica Davis Senior Editor, Enterprise Apps, 4/22/2019

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Seven Ways to Jump-Start AI

Artificial intelligence can offer competitive advantages, but it’s not easy to drive success without understanding how to overcome the challenges.

By Harsh Dhundia, Director, Pace Harmon , 4/18/2019

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AI, Automation Job Trend to Reverse in 2020

Artificial intelligence is adding value for many enterprise organizations, but getting it into production takes longer, costs more, and adds less value than many organizations are expecting.

By Jessica Davis Senior Editor, Enterprise Apps, 4/17/2019

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Why AI Isn't Gaining Traction in Your Enterprise

For all the buzz about artificial intelligence and machine learning, there has been surprisingly little real progress with adoption in the enterprise.

By Andrew Froehlich President & Lead Network Architect, West Gate Networks, 4/17/2019

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How to Solve the Talent Shortage in Data Science

Data science is reshaping the job market through fierce competition between companies for top talent. Filling the positions will mean converting candidates from other fields.

By Emilia Marius, BA/PM , 4/17/2019

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T-Mobile Modernizes its Data Analytics Platform

T-Mobile was using the same analytics platform it had in 2005 when the iPhone was new and George W. Bush was president. Now, the mobile carrier has modernized.

By Jessica Davis Senior Editor, Enterprise Apps, 4/16/2019

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What the CIO's Role Says About Your Company

The roles of chief information officers (CIOs) can vary significantly. Some are strategic business leaders, others are tactical implementers, some fall somewhere in between. What they do says a lot about your company.

By Lisa Morgan Freelance Writer, 4/16/2019

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IoT Data: Get the Right Rights

Before diving into AI, advanced analytics and other data-driven projects be sure to understand which data you hold rights to and what restrictions apply.

By Stephanie Sharron, Morrison & Foerster , 4/15/2019

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Boost Your Analytics, Machine Learning with Alternative Data

Adding external data sources to your analytics and machine learning initiatives can provide new dimensions of insights. Here are some sources of data you can tap.

By Jessica Davis Senior Editor, Enterprise Apps, 4/12/2019

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8 Challenges DevOps Faces Today

DevOps adoption is growing — and facing some growing pains, including a fair share of cultural issues.

By Cynthia Harvey Contributor, NetworkComputing, 4/11/2019

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When Automation Brings Efficiency to CRM

With repetitive manual data entry proving a pain point for staff members, workplaces must act to ensure their teams stay motivated. Could automation be the answer?

By Mark Hill, Chief Information Officer, Washington Frank , 4/10/2019

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Let's Make a Deal: Negotiating with IT Vendors

The big enterprise IT vendors -- IBM, Microsoft, Oracle, and SAP -- all want you to buy more and pay more. Here are some tactics for you to protect your organization and get the best deal as you plan and engage in negotiations with them.

By Jessica Davis Senior Editor, Enterprise Apps, 4/9/2019

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6 Digitization Trends Coming From AI and Blockchain

By themselves and working together, AI and blockchain are shaping the future of business.

By Kayla Matthews Technology Writer, 4/9/2019

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Four Basic Steps to Prevent Your Data Lake from Becoming a Swamp

Despite their great promise, data lakes have received a lot of negative buzz in recent years due to their lack of governability and general success.

By Ramesh Menon, VP Infoworks , 4/9/2019

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A Good Workflow to Avoid Bad Data

Data is important, yet processing data sometimes can make teams feel like they're chasing their own tails to unlock its value.

By Pierre DeBois Founder, Zimana, 4/8/2019

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Q&A: Looker’s Nick Caldwell Discusses Data-Driven Workforces

New cloud infrastructure and connected data are changing how collaboration and data management are handled.

By Joao-Pierre S. Ruth Senior Writer, 4/8/2019

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Secure Your Migration to the Cloud

Five best practices for ensuring that your cloud strategy keeps things safe and secure.

By Gary Miglicco and Doug Martin, PCM , 4/3/2019

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How to Operationalize Your Machine Learning Projects

Operationalizing those data science, analytics, and machine learning projects is one of the top concerns of IT leaders. But the same tried-and-true best practices you've used for other IT projects can guide you on these new technologies, too.

By Jessica Davis Senior Editor, Enterprise Apps, 4/3/2019

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AI, Machine Learning, Data Science: What Enterprises Are Doing

CIOs say that AI and machine learning are the top technologies that will drive transformation, but there aren't many enterprises who have them in production, yet. Here's how they are planning to get there.

By Jessica Davis Senior Editor, Enterprise Apps, 4/2/2019

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