Synechron launches “Neo”

Artificial Intelligence Solutions for the Financial Services Industry

Synechron Inc, a global financial services consulting and technology services provider announced March 23 the launch of “Neo,” a set of Artificial Intelligence (AI)-based solutions for the financial services industry. Neo uniquely brings together Synechron’s digital, business and technology consulting to allow financial institutions to deploy cutting-edge, AI solutions that solve complex business challenges.  

Synechron has built 14 reusable applications – Accelerators – that allow financial institutions to reduce time-to-market when applying AI to enhance business operations, reduce operating costs, and create better client experiences.  Synechron’s AI Accelerators applications have taken a business challenge that can be best solved through AI and re-architected business processes to build a solution powered by artificial intelligence and optimized for user experience.  The Accelerators use techniques like Natural Language Processing (NLP), Chatbots, Robotic Process Automation (RPA), Cognitive Machine Learning, Data Science, and Robo-Advisors to address a range of use cases. In addition to custom development work, Synechron has partnered with specialist FINtech firms such as Quantexa, Yseop and SQREEM.

The AI Accelerators apply some of the most advanced AI and Deep Learning techniques, and algorithms including Google Tesseract’s OCR and binarization, the NLTK platform for sentiment analysis, SARIMA for time-series data, Self-Org Maps for clustering, Deep Learning Recurring Neural Networks (RNN) for dynamic classification, Support Vector Machines for classification, R for statistical modeling and reinforced learning, multi-level Perception for classification, and Apache Spark for big data and machine learning. They also draw on deep financial services expertise, and foundational programming languages and tools including OpenNLP, R, Python, Jflex, PDFBox, MS LUIS, Tessaract, Spark, Apache Solr and mongoDB, among others.

 

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