This paper discusses the effectiveness of various text processing techniques, their combinations, and encodings to achieve a reduction of complexity and size in a given text corpus. The simplified text corpus is sent to BERT (or similar transformer based models) for question and answering and can produce more relevant responses to user queries. This paper takes a scientific approach to determine the benefits and effectiveness of various techniques and concludes a best-fit combination that produces a statistically significant improvement in accuracy.

As the Managing Director-Technology and Head of NY/Canada Business Unit at Synechron, Ravnit is currently responsible for leading multiple global client relationships, driving business development and sales, IT Strategy and consulting, execution and delivery, P&L and program management for strategic financial clients. In addition, a vital part of his role is providing thought leadership around the impact of emerging technologies (particularly AI/Machine Learning/RPA) on the financial industry. He is a key contributor to Synechron's Accelerator programs, leveraging emerging technologies to address key business challenges in the BFSI space. Ravnit has significant techno-functional hands-on experience as well as a proven track record for execution and delivery of IT Solutions in capital markets and wealth management functions across asset classes, lines of businesses and front-/mid-/back-office functions. Prior to Synechron, Ravnit was a Senior Developer at Polaris Consulting & Services Limited.

Synechron Inc., a leading digital enterprise transformation consulting and technology services provider in global financial services, has announced a new partnership with public cloud provider, Google Cloud. Synechron will work with Google Cloud to further build its established global Centre of Excellence (COE) and to expand its existing cloud offering to Synechron's leading financial services clients, in an effort to move towards enterprise-scale architecture modernisation and cloud migration. In their new partnership, Synechron will provide cloud-based solution architecture and operating models to support both the migration of legacy processes, as well as establishing the cloud for new business activities for its clients. Synechron's Google Cloud Centre of Excellence comprises a global group of Google Cloud accredited architects, data engineers and developers who have designed and developed enterprise-grade, cloud-hosted solutions. Mutual clients will be able to create an application landing zone with confidence for their ecosystems with Synechron's cloud migration expertise and managed services framework, increasing operational efficiency and delivering cost leverage.

The major objective of the Cognitive Systems & Artificial Intelligence In BFSI market report is to help the user understand the market in terms of its definition, segmentation, market potential, influential trends, and the challenges that the market is facing. This research is conducted to understand the current landscape of the market, especially in 2019 up-to the forecast year 2025. The readers will find this report very helpful in understanding the Cognitive Systems & Artificial Intelligence In BFSI market in depth. The data and the information regarding the market are taken from reliable sources such as websites, annual reports of the companies, journals, and others and were checked and validated by the industry experts. The facts and data are represented in the report using diagrams, graphs, pie charts, and other pictorial representations.

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.

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.

Here are the six biggest trends identified by Synechron in their annual forecast. Subscribe to The Financial Brand via email for FREE!2018 promises to be the year we see the culmination of some key technologies -- from blockchain and intelligent AI, to design thinking and the cloud. Here are the 10 biggest trends identified by reports from Synechron and Capgemini. Experiences with non-banking industries such as retail and communications have shaped consumers' expectations from banks and credit unions. As customers become more digital, more demanding and more tech-savvy, legacy bank infrastructure is strained to support new modes of engagement and grow digital efforts significantly.

Conversational AI is reshaping the financial services enterprise. In fact, more than 2 billion people are expected to be using conversational AI by this year, making the need to integrate it into new business applications increasingly pressing. To that end, 40% of virtual assistant users are expected to interact primarily with new applications that support conversational AI.

Synechron, a global financial services consulting and technology services provider, has today revealed the top trends it expects to see in financial services technology in 2018. These priorities touch on six key themes - Innovation, User Experience (UX) Design, Risk, Regulatory Technology (RegTech), Data, and the Cloud - that cut horizontally across the business and therefore are driving enterprise financial services decision-making. Based on Synechron's work with the world's largest global tier one investment banks and insurance companies, the company has identified the following top priorities for 2018. Innovation - will focus on taking proven new technologies from pilot to production Blockchain and Artificial Intelligence (AI) will continue to dominate in 2018. Where last year was focused on blockchain-pilots, 2018 will be focused on production.

Here are the six biggest trends identified by Synechron in their annual forecast. Subscribe to The Financial Brand via email for FREE!2018 promises to be the year we see the culmination of some key technologies -- from blockchain and intelligent AI, to design thinking and the cloud. Here are the 10 biggest trends identified by reports from Synechron and Capgemini. Experiences with non-banking industries such as retail and communications have shaped consumers' expectations from banks and credit unions. As customers become more digital, more demanding and more tech-savvy, legacy bank infrastructure is strained to support new modes of engagement and grow digital efforts significantly.