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.
New York-based Cherre real estate data and analytics platform announced it has raised $16 million in growth funding. Including this round of funding, Cherre has raised a total of $25 million. Intel Capital led the funding round. Navitas Capital, Carthona Capital, Zigg Capital, Dreamit Ventures, and Silicon Valley Bank (new growth debt relationship) also participated in the round. Cherre's artificial intelligence platform empowers large enterprises, insurance companies, banks, and investors with a platform to instantly collect, augment, resolve, and analyze datasets in real-time from hundreds of thousands of public, private, and internal sources.
Rockville, MD 20850 Colleen McClintock Infinite Intelligence, Inc. 1155 Connecticut Avenue, #500 Washington 20036 Jacqueline Sobieski Fannie Mae 3900 Wisconsin Avenue Washington 20016 Abstract Business policy can be defined as the guidelines and procedures by which an organization conducts its business. Organizations depend on their information systems to implement their business policy. It is important that any implementation of business policy allows faster application development and better quality management and also provides a balance between flexibility and centralized control. This paper views business rules as atomic units of business policy that can be used to define or constrain different aspects of the business. It then argues that business rules provide an excellent representation for business policy. KARMA was developed and deployed at Fannie Mae. 1 Introduction Business policy can be defined as the guidelines and procedures by which an organization conducts its business. Business policy is often documented in manuals and business guidelines and is reflected in an organization's information systems. Organizations depend on their information systems to implement this policy.
NEW YORK, NY / ACCESSWIRE / February 7, 2020 / Humans are creating data at an exponential rate. In fact, 90% of the data in the world has been created in the past 2 years according to a 2015 IBM study. In the same study, it was estimated that we create 2.5 exabytes (2.5 quintillion bytes) of data every day. To put it in perspective, there are 18 zeros in a quintillion. As Big Data gets, well, bigger, it becomes even more important for executives and C-suites in financial services to stay ahead of the curve.
Find out who the major players are and why they've got everyone excited. Meet FinTech, 2015's darling of the startup world: a new breed of business built on the passion and ingenuity of Silicon Valley, with the financial savvy and banking focus of Wall Street. FinTech, a combination of the words "financial technology," is the biggest story in startup growth in 2015. While the term has been around for several years, it seems that 2015 is really the year that this fledgling offshoot of the larger banking industry has finally come into its own. But what is FinTech, and how does it impact you?