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Day: July 14, 2020

Machine Learning challenges in legacy organisations – Finextra

Fans of machine learning suggest it as a possible solution for everything. From customer service to finding tumours, any industry in which big data can be easily accessed, analysed and organised is ripe for bringing about new and compelling use cases. This is especially attractive for legacy organisations, such as financial services firms, looking to…

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    53% of enterprises spending more than $20 million a year on AI technology, talent

    special feature Managing AI and ML in the Enterprise The AI and ML deployments are well underway, but for CXOs the biggest issue will be managing these initiatives, and figuring out where the data science team fits in and what algorithms to buy versus build. Read More Fifty-three percent of enterprises adopting artificial intelligence have…

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      Artificial intelligence predicts which planetary systems will survive

      While three planets have been detected in the Kepler-431 system, little is known about the shapes of their orbits. On the left are a large number of superimposed orbits for each planet that are consistent with observations. An international team of astrophysicists led by Princeton’s Daniel Tamayo removed all the unstable configurations that would have…

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        Machine Learning Stabilizes Business Continuity During COVID – pymnts.com

        “Organizations may have had to engage in relaxation strategies, which could inversely impact their fraud appetite, as they had to let more transactions through without reviewing them. The risk is real.”Spikes in cybercrime are making headlines daily, and people are getting burned. Preparedness often decides the outcome. “In our experience, clients running machine learning models…

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          5 Key Attributes To Make Machine Learning Systems Work In The Wild – Analytics India Magazine

          The biggest concern for any machine learning developer is to figure if their models work outside their labs, in the real world, and in the wild. The emergence of pragmatic ML as a domain coincides with the increasing adoption of AI. But, when can one call their system to be pragmatic? To build more robust…

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            These scientists are using machine learning to listen to nature (literally) – Grist

            News on climate in the time of coronavirus Subscribe todayThe United Nations has called on the world to protect 30 percent of the planet from human activity to help protect ecosystems and slow down climate change. But conservation areas are often vulnerable to illegal logging, poaching, mining, and other activities that threaten biodiversity. How can…

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              Ed-tech Board Infinity Introduces Machine Learning & Artificial Intelligence Programs – India Education Diary

              New Delhi: The Coronavirus outbreak has seen a major shift from offline learning to online learning model. As every educational institution has been closed down for over 5 months in almost every country, online education programs have turned out to be the primary mode for learning. With this “new normal” norm of online education, India…

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                Building an Artificial Intelligence Model for Your Business – Analytics Insight

                Artificial Intelligence (AI) and Machine Learning (ML) have already demonstrated extensive possibilities for organizations to improve operations and maximize their revenues. While businesses these days face enormous problems, there are a variety of machine learning models used to solve these problems. Some algorithms are better at addressing certain sorts of problems than the others. In…

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                  53% of enterprises spending more than $20 million a year on AI technology, talent

                  special feature Managing AI and ML in the Enterprise The AI and ML deployments are well underway, but for CXOs the biggest issue will be managing these initiatives, and figuring out where the data science team fits in and what algorithms to buy versus build. Read More Fifty-three percent of enterprises adopting artificial intelligence have…

                    Read More

                    Artificial intelligence predicts which planetary systems will survive

                    While three planets have been detected in the Kepler-431 system, little is known about the shapes of their orbits. On the left are a large number of superimposed orbits for each planet that are consistent with observations. An international team of astrophysicists led by Princeton’s Daniel Tamayo removed all the unstable configurations that would have…

                      Read More