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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.


Finance experts note importance of workforce diversity, global collaboration

The Japan Times

Against a backdrop of startling international developments, such as Brexit and the Hong Kong protests, Japan's financial sector is uniquely positioned to step out of the shadows of its competitors in Singapore and Hong Kong. This is the assessment of The Organization of Global Financial City Tokyo -- also known as FinCity.Tokyo -- which, on March 19, held its FinCity Global Forum at the Grand Hyatt Tokyo in Roppongi to explore the opportunities and challenges that await Japan in its pursuit to become a top global financial hub. Established in April 2019, FinCity.Tokyo is an organization that promotes Tokyo as a global financial hub and supports foreign financial services firms set up in Tokyo. In addition to the keynote and other speeches, the forum consisted of a series of panel discussions that invited industry veterans to discuss a wide array of topics, ranging from regional revitalization and socially oriented asset management to competition and collaboration among international financial cities. The first panel, centered on the theme of "Advancement of the Asset Management Industry and Global Financial City Initiative," invited panelists Yasumasa Tahara, director of the strategy development division at the Financial Services Agency; Kazuhide Toda, managing executive officer and chief investment officer at Nippon Life Insurance Company; and Oki Matsumoto, chairman and CEO at Monex Group Inc., to share their thoughts on how the industry can improve its asset management environment.


Deep Learning for Financial Applications : A Survey

arXiv.org Machine Learning

Computational intelligence in finance has been a very popular topic for both academia and financial industry in the last few decades. Numerous studies have been published resulting in various models. Meanwhile, within the Machine Learning (ML) field, Deep Learning (DL) started getting a lot of attention recently, mostly due to its outperformance over the classical models. Lots of different implementations of DL exist today, and the broad interest is continuing. Finance is one particular area where DL models started getting traction, however, the playfield is wide open, a lot of research opportunities still exist. In this paper, we tried to provide a state-of-the-art snapshot of the developed DL models for financial applications, as of today. We not only categorized the works according to their intended subfield in finance but also analyzed them based on their DL models. In addition, we also aimed at identifying possible future implementations and highlighted the pathway for the ongoing research within the field.


Artificial Intelligence (AI) in Fintech Global Market Demand, Growth, Opportunities, Analysis of Top Key Player and Forecast to 2024

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May 03, 2019 (Heraldkeeper via COMTEX) -- As FinTech applies data and technology to financial services in an effort to address industry challenges, artificial intelligence is essential to FinTech's existence and usage. According to this study, over the next five years the Artificial Intelligence (AI) in Fintechmarket will register a xx% CAGR in terms of revenue, the global market size will reach US$ xx million by 2024, from US$ xx million in 2019. In particular, this report presents the global revenue market share of key companies in Artificial Intelligence (AI) in Fintech business, shared in Chapter 3. This report presents a comprehensive overview, market shares and growth opportunities of Artificial Intelligence (AI) in Fintech market by product type, application, key companies and key regions. This report also splits the market by region: Breakdown data in Chapter 4, 5, 6, 7 and 8. Americas United States Canada Mexico Brazil APAC China Japan Korea Southeast Asia India Australia Europe Germany France UK Italy Russia Spain Middle East & Africa Egypt South Africa Israel Turkey GCC Countries The report also presents the market competition landscape and a corresponding detailed analysis of the major vendor/manufacturers in the market.


Smart Cities, 4IR, AI, Blockchain, IoT the Heartbeat of the XXI Century - IntelligentHQ

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"Men come together in cities in order to live: "What is the city but the people?" "Urbanization, one of humankind's most successful and ambitious programs, is the triumph of the unnatural over the natural, the grid over the organic… Underway on a scale never before witnessed, one side effect of urbanization is the liberation of vast depopulated territories for the efficient production of'nature'." "A smart city is an intelligent town that provides enormous possibilities for human growth through art, culture, social, architectural, economic, political, environmental, and scientific flowering with the optimal mix of nature, technology, humanity, and arts." Cities are all about people's lives. Whether you are in London, New York, Singapore, Tokyo or Beijing, Shanghai, Shenzhen, Barcelona these cities offer the best in the world and are able to serve so many millions of people together because of their adoption of smart technologies which makes them leading smart cities. Smart Cities are the heart of the beating of the best in the world and in the interstice of all challenges, innovation and concerns. Particularly when it comes to organisation of society, citizens, innovation, technology and data, smart cities are the center of all operations and challenges and opportunities.