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Month: November 2021

Practical machine learning and multi-criteria decision-making in healthcare – EurekAlert

This book provides an ideal foundation for readers to understand the application of artificial intelligence (AI) and machine learning (ML) techniques to expert systems in the healthcare sector. It starts with an introduction to the topic and presents chapters which progressively explain decision-making theory that helps solve problems which have multiple criteria that can affect…

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    Qlik Extends Advanced Machine Learning Capabilities in Qlik Cloud With Amazon SageMaker – APN News

    Previous story: Cashfree Payments expands its MENA presence through investment in UAE-based Payment Gateway, Telr Next story: Qlik Extends Advanced Machine Learning Capabilities in Qlik Cloud With Amazon SageMaker Published on November 30, 2021 Introduction Of Amazon SageMaker Integration Extends Predictive Modeling With Qlik’s Active Intelligence Platform Bangalore – Qlik® deepened its work with Amazon…

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      Is AI/ML Really Useless Or Can Zerodha Not See It? – Analytics India Magazine

      A heated debate has been prevailing on LinkedIn since Nithin Kamath, Founder & CEO at Zerodha, posted, “I keep getting asked how we use AI/ML/Blockchain at @zerodhaonline, and I keep saying we don’t and haven’t found any use-case yet.” The trending post gained over 10,000 reactions and 400 comments in a day. Analysts, experts, data…

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        Health Canada paving the way for more AI/ML medical devices – Lexology

        Since 2018, Health Canada has undertaken an initiative to adapt its regulatory approach to better support digital health technologies, specifically medical devices. Key focus areas include artificial intelligence, software as a medical device, cybersecurity, medical device interoperability, wireless medical devices, mobile medical apps and telemedicine. To meet this goal, Health Canada established the Digital Health…

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          3 Steps To Scale ML Models And Drive More Business Impact

          The time to responsibly scale AI is now. Here’s how enterprises can empower data scientists to deploy ML models at scale while avoiding common pitfalls and positioning the business for stronger ROI. Organizations need to give data scientists a top-quality experience that lets them focus on their work, not on toggling between different interfaces, chasing…

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            The Role of Artificial Intelligence in Pioneering the Retail Industry

            The retail industry’s digital transition has been ongoing for a long time. Data and predictive analytics tools are helping organizations make data-driven decisions in every aspect of retail business, resulting in more incredible speed, efficiency, and accuracy. FREMONT, CA: The dynamic retail sector of today is predicated on a new covenant of data-driven retail experiences…

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              AVEVA Launched Innovative Artificial Intelligence Capability that Leverages Deep Learning to Enhance Operational Processes – ARC Viewpoints

              AVEVA launched Vision AI Assistant 2021, its new image classification-based analytics tool. This artificial intelligence (AI) solution, which can be integrated into AVEVA System Platform and Operations Management Interface and AVEVA Insight, helps enable its customers to use video and images from existing general-purpose cameras and convert them into user-friendly information and timely alerts. Designed…

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                Brig. Gen. John Olson: AI, ML Key ‘Enablers’ for Joint All-Domain Command & Control Concept – ExecutiveGov

                Brig. Gen. John Olson, a U.S. Space Force mobilization assistant, described artificial intelligence and machine learning as necessary tools for the military’s kill chain as part of the Joint All Domain Command and Control (JADC2) framework, Breaking Defense reported Wednesday. He said at an American Institute of Aeronautics and Astronautics-hosted panel discussion that the use…

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                  The 10 Hottest Machine Learning And Data Science Startups In 2021 – CRN

                  A Scientific Approach Businesses today are struggling to leverage exploding volumes of data for competitive advantage. To meet that challenge, data engineers and data scientists are increasingly turning to emerging technologies in data science, artificial intelligence, machine learning and even deep learning to prepare and organize big data and develop the machine learning algorithms and…

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                    Is your AI project doomed to fail before it begins?

                    Hear from CIOs, CTOs, and other C-level and senior execs on data and AI strategies at the Future of Work Summit this January 12, 2022. Learn more Artificial intelligence (AI), machine learning (ML) and other emerging technologies have potential to solve complex problems for organizations. Yet despite increased adoption over the past two years, only…

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