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.


How AI is Shaping the Future of Customer Experience

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Booking.com, a brand within Priceline Group, is planning to begin using artificial intelligence (AI) to create personalized travel options for customers. According to Seeking Alpha, Booking.com will begin using AI within its mobile apps to provide travelers with instant recommendations for local events and attractions once they've reached a destination. Booking Experiences tool, which has been launched on its iOS and Android apps in Amsterdam with planned rollouts in Dubai, London, Paris, and New York over the next few months, makes suggestions based on a user's personal experience and from having analyzed millions of personal likes and dislikes and how these experiences impact the buying decisions for various venues. For instance, chatbots powered by AI are able to field and answer questions from customers on a variety of subjects, from generating recommendations on gift purchases to locating the nearest Chinese restaurant. As with other forms of automation, some have questioned whether AI will replace customer service reps and people in other types of customer-facing roles.


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.


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.


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.