Synechron Launches AI Data Science Accelerators for the BFSI sector

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Synechron the global financial services consulting and technology services provider, has announced the launch of its AI Data Science Accelerators for Financial Services, Banking and Insurance (BFSI) firms. These four new solution accelerators help financial services and insurance firms solve complex business challenges by discovering meaningful relationships between events that impact one another (correlation) and cause a future event to happen (causation). Following the success of Synechron's AI Automation Program – Neo, Synechron's AI Data Science experts have developed a powerful set of accelerators that allow financial firms to address business challenges related to investment research generation, predicting the next best action to take with a wealth management client, high-priority customer complaints, and better predicting credit risk related to mortgage lending. The Accelerators combine Natural Language Processing (NLP), Deep Learning algorithms and Data Science to solve the complex business challenges and rely on a powerful Spark and Hadoop platform to ingest and run correlations across massive amounts of data to test hypotheses and predict future outcomes. The Data Science Accelerators are the fifth Accelerator program Synechron has launched in the last two years through its Financial Innovation Labs (FinLabs), which are operating in 11 key global financial markets across North America, Europe, Middle East and APAC; including: New York, Charlotte, Fort Lauderdale, London, Paris, Amsterdam, Serbia, Dubai, Pune, Bangalore and Hyderabad.


Synechron launches AI data science accelerators for FS firms

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These four new solution accelerators help financial services and insurance firms solve complex business challenges by discovering meaningful relationships between events that impact one another (correlation) and cause a future event to happen (causation). Following the success of Synechron's AI Automation Program – Neo, Synechron's AI Data Science experts have developed a powerful set of accelerators that allow financial firms to address business challenges related to investment research generation, predicting the next best action to take with a wealth management client, high-priority customer complaints, and better predicting credit risk related to mortgage lending. The Accelerators combine Natural Language Processing (NLP), Deep Learning algorithms and Data Science to solve the complex business challenges and rely on a powerful Spark and Hadoop platform to ingest and run correlations across massive amounts of data to test hypotheses and predict future outcomes. The Data Science Accelerators are the fifth Accelerator program Synechron has launched in the last two years through its Financial Innovation Labs (FinLabs), which are operating in 11 key global financial markets across North America, Europe, Middle East and APAC; including: New York, Charlotte, Fort Lauderdale, London, Paris, Amsterdam, Serbia, Dubai, Pune, Bangalore and Hyderabad. With this, Synechron's Global Accelerator programs now includes over 50 Accelerators for: Blockchain, AI Automation, InsurTech, RegTech, and AI Data Science and a dedicated team of over 300 employees globally.


A.I. Takes a Stroll Through Amsterdam

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Read about the world's tallest building, the longest bicycle, the most modern tractor and a discovered time capsule that cannot be opened until the year 2957. Shoe manufacturer New Balance is stepping onto the 3-D printing platform with a new running shoe that incorporates a 3-D printed midsole that can be customized to each runner. New Balance is making the shoe available for the first time in Boston in April, 2016 -- timed to coincide with the Boston Marathon. It's difficult to believe that with all of the unrest in Iraq, a company such as AMBS Architects would propose building a skyscraper to rival Dubai's Burj Khalifa, which stands 830-meters high. But here it is: the 1,152-meter-tall Bride's tower.


Drones will soon rescue people from fires and perform surgery

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Drones are a controversial tech gadget to say the least. They can pose a risk to aircraft, cause potential privacy issues, and are being used to smuggle contraband into prisons. Despite their bad reputation, a lot of research is being put into the use of unmanned aerial vehicles (UAVs) within emergency missions. At New York University's Abu Dhabi campus, Professor of Electrical and Computer Engineering, Antonios Tzes, has been manning a project across five different universities in the US, Sweden, Switzerland, Netherlands, and Greece, to develop drones for use inside buildings, particularly in fire situations. After designing ground vehicles for rescue operations, Tzes and his team were looking for a way to move away from the ground.


How IoT Solutions Can Improve Waste Management Processes

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Waste disposal is a huge challenge for major cities. Today, government administrations in smart cities like Singapore, Dubai, Hong Kong, Amsterdam, Stockholm, Tokyo, Melbourne, Seattle, Chicago and Seoul have provided a massive push to incorporate technology into every aspect of their cities. The waste disposal process in many of these cities has transformed into a highly smart operation management activity. Today, civic waste management of any smart city is an interplay of on-field devices, or sensors, networked together to generate millions of data points; data thus obtained is then ingested into a cloud platform and fed through complex analytical frameworks to analyze and then to derive sensible, actionable inferences to better serve the citizens of that city. The whole process is automated with almost zero human interference.