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Data Management // Hardware/Architectures

Rethinking the IT Organization in a Post-COVID World

Pursuing initiatives across organization redesign, operational cost reduction, and process automation is a must to ensure success in the new business paradigm.

By Suketu Gandhi, Partner; Anshuman Jaiswal, Principal; Dominique Harris, Principal; and Hrishikesh Tendulkar, Manager, Kearney , 11/25/2020

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What Comes Next for the COVID-19 Computing Consortium

Supercomputing and academic resources to accelerate research into the virus shift gears as vaccines to fight the pandemic might be nearing production.

By Joao-Pierre S. Ruth Senior Writer, 11/24/2020

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How to Approach Your Mission-Critical Big Data Strategy

Across industries, big data has joined traditional, structured data as a mission-critical element. Here�s some advice for CIOs and big data leaders on how to get started.

By Mary E. Shacklett Mary E. Shacklett, 11/17/2020

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What Rubber Bands Can Tell Us About Enterprise AI

If we pay close attention to how AI is falling short and leaving humans with extra work, we can see exactly where the future lies (and how to get there).

By Dominic Gallello, CEO, Symphony AzimaAI , 11/13/2020

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4 Methods to Scale Automation Effectively

Here are best practices on how to scale automation successfully beyond the initial deployment to create a high-demand and thriving automation function.

By David Borowski, Director, IT Strategy & BPO, West Monroe Partners , 11/10/2020

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What Quantum Computing Could Mean for Software Development

Once the stuff of speculation, the growth of quantum software development may share some similarities with the rise of MLOps and AIOps.

By Joao-Pierre S. Ruth Senior Writer, 11/5/2020

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Should AI Be Part of Your Digital Transformation Strategy?

Digital transformation strategies are common, but many enterprises lack an AI strategy. Where does it fit? Not everyone agrees.

By Lisa Morgan Freelance Writer, 10/26/2020

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The Upside to Deepfake Technology

Deepfake technology has received its fair share of scorn, but as remote collaboration vendors incorporate more AI features into their offerings, the �deepfake� stigma will wane.

By James Kobielus Tech Analyst, Consultant and Author, 10/23/2020

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Data Analytics Without a Plan is Like Panning for Gold

Without a strategy in place to analyze and act upon your data, you'll get bogged down, sifting for worthy nuggets.

By Divya Srivastava, Data and Strategic Business Insights Analyst , 10/14/2020

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Future of Analytics: How to Decide Which Avenue to Take

Maximize the value of data analytics in your business strategy by first identifying current problems and potential solutions. Here�s some advice to get you on track.

By John Affolter, Sales Engineer/Solutions Architect, Charter Solutions , 10/5/2020

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Align Your Data Architecture with the Strategic Plan

Here�s how IT professionals can help top management understand the value of data and how to use it to the company�s advantage.

By Jija Thomas, Lead Data Architect, Russell Investments , 9/22/2020

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Rise of the Data Disruption Economy in the Wake of COVID-19

Ventana Research posits that in uncertain times architecting systems, even on premises, means adopting cloud principles to be agile and adaptable.

By Joao-Pierre S. Ruth Senior Writer, 9/17/2020

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3 Hurdles to Overcome for AI and Machine Learning

Artificial intelligence and machine learning have distinct limitations. Businesses looking to implement AI need to understand where these boundaries are drawn.

By Mark Runyon, Principal Consultant, Improving , 9/17/2020

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AI Accountability: Proceed at Your Own Risk

A new report suggests that to improve AI accountability, enterprises should tackle third-party risk head-on.

By John Edwards Technology Journalist & Author, 9/8/2020

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Top Trends in Data Lakes

Does it seem too early for data lakes to have trends? The reality is data lakes are on the very edge of business transformation efforts and dramatic change.

By William McKnight, President, McKnight Consulting Group , 8/24/2020

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Addressing AI Bias Head-On: It�s a Human Job

Researchers working directly with machine learning models are tasked with the challenge of minimizing cases of unjust bias.

By Mohan Mahadevan, VP of Research, Onfido , 8/21/2020

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5 Analytics Mistakes You Need to Avoid

Don't let mistakes drag your enterprise into analytics disappointment. Catch these common errors before they can hurt your organization's bottom line.

By John Edwards Technology Journalist & Author, 8/18/2020

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Google, Harvard, and EdX Team Up to Offer TinyML Training

A new certification program aims to foster more development in a segment of machine learning that would run on small devices at the edge.

By Joao-Pierre S. Ruth Senior Writer, 8/13/2020

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Making Predictive Analytics Work in an Uncertain World

Rapid, sometimes dramatic change has become "the new normal," but what we know now can help us improve predictive model accuracy.

By Lisa Morgan Freelance Writer, 8/10/2020

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How Synthetic Data Accelerates Coronavirus Research

When your research could save COVID-19 patients, you don't want to wait around for institutional approval to use patient data in research. Here's an alternative.

By Jessica Davis Senior Editor, Enterprise Apps, 8/7/2020

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