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New Intelligent Automation Solutions Fueling Capital Markets

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The pace of transformation in the capital markets is accelerating. How are firms keeping up and staying ahead? Leveraging automation and choosing the right providers is essential. Here is the guide for business leaders. FREMONT, CA: The pursuit of enhancing automation in capital markets goes way back in time.


New Intelligent Automation Solutions Fueling Capital Markets

#artificialintelligence

The pace of transformation in the capital markets is accelerating. How are firms keeping up and staying ahead? Leveraging automation and choosing the right providers is essential. Here is the guide for business leaders. FREMONT, CA: The pursuit of enhancing automation in capital markets goes way back in time.


OnviSource Releases its New Multi-Engine and Proprietary Artificial In

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OnviSource announced today it has started the deployment of its AI-driven solutions powered by its new proprietary Artificial Intelligence software, called iMachine . Company's solutions are able to utilize the most optimized AI engine pertinent to their specific application. For example, Company's Intelligent Virtual Agent or smart bot, called Liaa, primarily utilizes iMachine's NLP/NLU engine; while Intellecta multichannel analytics and Automata RPA products may use iMachine's ML and DL engines for a variety of their AI-driven features. Use of iMachine by Company's solutions in analytics, RPA and IVA significantly enhances their capabilities in effectively addressing today's enterprise and contact center challenges in workforce optimization, customer experience management and business process automation; as well as automating the management of enterprise contents. Content of calls, audio files, email, chat, text, and structured or unstructured documents can be analyzed by iMachine for discovering intent, purpose, compliance, categories, sentiment, root causes and complex information otherwise undetected by analytics that do not use AI engines.


The New-Paradigm: Key Trends in AI-Driven Fintech

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Technology is reshaping the operating-model of financial institutions fundamentally, and the attributes necessary to build a successful business. AI is weakening various components of incumbent financial institutions, thereby creating an opportunity for an entirely new operating-models and category-dynamics focused on the scale and sophistication of product, tech & data much more than the scale or complexity of capital. Unlike past'AI Springs', the science and practice of AI is poised to continue an unprecedented multi-decade run of progress. A clear vision of the future financial landscape is critical for good governance and strategic decisions. AI systems will eventually underwrite credit and insurance across the world.


3 Ways To Trade Using Robotics and Automation – Digital Crypto Invest DCI – Medium

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In the current digitized era, the emergence of advanced technologies like Artificial intelligence (AI), Machine Learning (ML), and Robo-advisory has opened unprecedented opportunities for the finance sector to digitize and secure the trading operations. In the investment space, robotics and AI-based technologies are playing a major role in assisting the trading enthusiasts or investors to build a robust and efficient investment portfolio by interpreting past financial data, transactions and trading patterns. Robotic Automation in Investment Management (IM) industry is also important in order to lower the transaction costs, reduce risks, and enhance the accuracy in trading activities. Here is a list of three eccentric ways through which Robotic Automation is being used by the trading firms or investors for achieving high efficiency, ROI, and market profitability in both classic and digital trading operations. AI-based Robo advisory services are commonly used by investors on different trading platforms for building an efficient investment portfolio.