Articles

  • Jan 23, 2025 | datasciencecentral.com | Pritesh Patel |Bill Schmarzo |David Stephen |Dan Wilson

    Data is at the heart of any system. Today, AI is largely used to maintain large volumes of data and make decisions from it. AI is even being used in sensitive areas such as healthcare, hiring, and criminal justice which has sparked a huge debate in recent years. The debate is about whether AI can be trusted in decision-making. Is it susceptible to biases? It’s important to note that human decisions can also be biased. But the question is can AI give less biased outcomes compared to humans?

  • Jan 9, 2025 | datasciencecentral.com | Pritesh Patel |Alan Morrison |Zachary Amos |Rob Turner

    The cybersecurity concept known as “zero trust data security” is based on the tenet “never trust, always verify.” Zero Trust requires constant verification of every person and device trying to access resources, regardless of location, in contrast to standard security approaches that presume everything within a network is reliable.

  • Dec 3, 2024 | elearningindustry.com | Pritesh Patel

    eLearning Industry now partners with Techr, a knowledge hub that revolutionizes the intersection of technology and human resources. The team at Techr understands the pivotal role that technology plays in reshaping the way organizations attract, manage, develop, and retain their most valuable asset – people! Committed to providing unbiased content, Techr is a go-to source for HR, IT, and MIS Professionals who need to navigate the ever-evolving landscape of HR technology - minus the jargon.

  • Dec 3, 2024 | devops.com | Pritesh Patel

    Imagine for a moment that DevOps was not just a set of practices or a framework but something alive, breathing and evolving. What would that look like? How would it impact our perspective toward collaboration, automation and innovation in software development? DevOps has long been about breaking down silos between development and operations teams, speeding up software delivery and ensuring that everything runs smoothly.

  • Nov 18, 2024 | datasciencecentral.com | Pritesh Patel |Kevin Vu |Zachary Amos |Bill Schmarzo

    Generative AI is transforming the landscape of product development by enabling designers across various industries, such as furniture, fashion, and automotive, to push boundaries and innovate more freely. By utilizing AI-driven tools, creators can experiment with new concepts, materials, and styles more efficiently, significantly reducing the time from ideation to launch. While these technological advancements bring substantial benefits, it’s important to recognize their limitations.

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