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Day: February 21, 2022

How does AI/ML & bias come into play in HRMS?

By Dhrumil Dhakan HRM solutions have become quite essential in the operations of an organization and with the solutions being integrated with AI/ML, it has largely streamlined the whole process of onboarding, training, and other HR activities. With this in mind, it is important to know where a technology like this lie in today’s world…

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    The Key Artificial Intelligence and Machine Learning Trends for 2022

    We’ve entered a new year now, and it seems likely that there will be numerous different artificial intelligence and machine learning trends for 2022. Potentially, this could influence how things look heading into the future. Current Artificial Intelligence and Machine Learning Trends You Should Know There are numerous potential technology trends and predictions that businesses…

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      MeriTalk – MeriTalk

      While businesses and IT professionals are increasingly using artificial intelligence and machine learning (ML), measuring and proving the business value of the technologies remains a challenge for organizations.Rackspace recently released a survey on AI and ML, where 1,870 IT leaders from differing areas – including manufacturing, finance, retail, government and healthcare – weighed in on…

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        Can machine-learning models overcome biased datasets? | MIT News | Massachusetts Institute of Technology – MIT News

        Artificial intelligence systems may be able to complete tasks quickly, but that doesn’t mean they always do so fairly. If the datasets used to train machine-learning models contain biased data, it is likely the system could exhibit that same bias when it makes decisions in practice. For instance, if a dataset contains mostly images of…

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          Artificial Intelligence: The future is data capture, not machine learning – The Times of India Blog

          Adoption of Artificial Intelligence (AI) has accelerated since the pandemic hit as the whole world moved towards digitization. A study by Oxford University and Yale University indicates that AI will outperform humans in many ways and will automate all human jobs in the next 120 years. By 2024, AI will be better than humans at…

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            Machine Learning Needs Our Attention ! – BBN Times

            Machine learning is a powerful technology that deserves more attention by organizations. But before technology can unleash its potential in your business, taking care of machine learning is your duty! We have been hearing about tons of machine learning applications for quite some time now. But, machine learning algorithms fail to offer optimized results without careful supervision….

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              Artificial Intelligence: The future is data capture, not machine learning – Economic Times

              Adoption of Artificial Intelligence (AI) has accelerated since the pandemic hit as the whole world moved towards digitization. A study by Oxford University and Yale University indicates that AI will outperform humans in many ways and will automate all human jobs in the next 120 years. By 2024, AI will be better than humans at…

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                How AI and ML are Helping Healthcare and Retail Contact Centers to be More Efficient? – Analytics Insight

                How AI and ML are Helping Healthcare and Retail Contact Centers to be More Efficient? by Analytics Insight February 21, 2022 The use of AI and ML in the healthcare and retail sectors have grown exponentiallyArtificial intelligence can broadly be described as a branch of technology that thrives on the concept of software carrying out…

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                  Rising to the pollution challenge with machine learning – International Environmental Technology

                  Better analysis of existing data on rising mains can mitigate risk of pollution incidents, says George Heywood, analytics innovation lead for technology specialist Ovarro. The Government has left the water companies and Ofwat in no doubt that they need to do more to protect the environment from pollution and allay the concerns of stakeholders. In a statement published…

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                    Machine Learning Helps Financial Institutions Balance Risk, Innovation – pymnts.com

                    Five years ago, digital transformation in banking was focused on a product or a certain business line, but more recently, innovation has become an imperative. That was accelerated by the pandemic, which created an immediate need for frictionless onboarding with customers and clients and the ability to support faster payments. “We see a combination of…

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