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.
"Our leadership in enterprise AI continues to attract world-class investors who understand that Dataiku's solution and customer base are truly global and that we're uniquely positioned to help businesses realize the untapped potential for AI to transform the enterprise," said Florian Douetteau, co-founder and CEO of Dataiku. "In a global business market rocked by the changes 2020 has brought, AI has proven to be a critical element of organizational success driving business growth in every major vertical market." Dataiku was founded in 2013 with the mission to take machine learning and AI projects out of experimental labs and put them into everyday operations that are truly woven into the fabric of a company. Dataiku serves hundreds of customers worldwide, including Schlumberger, GE Aviation, Sephora, Unilever, BNP Paribas, Premera Blue Cross, Kuka, and Santander. Its team has grown to more than 450 people worldwide in New York, Paris, London, Frankfürt, Dubai, Amsterdam, Sydney, and Singapore.
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.
Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations.
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.