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Machine learning with sentiment analysis

#artificialintelligence

In recent years, we have seen an unprecedented explosion of interest in applying artificial intelligence and machine learning to a variety of quantitative finance problems, ranging from derivatives pricing and risk management to market forecasting and algo trading. In fact, Artificial Intelligence and Machine Learning are now seen as the greatest enablers of competitive advantage in the finance sector. Both applications use state-of-the-art Machine Learning techniques – LSTM neural net and NEAT genetic algorithm – in combination with news sentiment.


The State of European Fintech 2019

#artificialintelligence

Facebook and McKinsey) based out of its offices in Amsterdam, London and Jakarta.


Amsterdam-based ING Bank Launches Initiative to Promote Artificial Intelligence Adoption in the Netherlands

#artificialintelligence

Amsterdam-based ING, a multinational banking and financial services corporation, has joined a group of organizations to promote the development and adoption of artificial intelligence (AI) in the Netherlands. The project is part of a nationwide plan to halt a brain drain of talented AI professionals to the US and China. The Dutch bank will co-fund five AI-focused academic positions in collaboration with several universities in the Netherlands, and help promote a national course on AI to increase awareness and adoption. Kickstart AI will be participating in a series of "super challenge" projects that address important societal issues, including healthcare and mobility. "For the competitiveness for Dutch companies and the Dutch education system, we are joining forces with four other large Dutch companies to not only work on supporting universities, start-ups and SMEs, but also to help raise awareness with the Dutch public about the opportunities and risks of AI."


The Next Feather in Bitfury's Hat: Artificial Intelligence Divison

#artificialintelligence

The company covers a good range of services based on blockchain. Last year in the month of October, the company was looking into holding an IPO (initial public offering) through stock exchange listing in Amsterdam, London or Hong Kong, as per sources. Also in the same year, the company closed an 80 million U.S. Dollar funding which was led by Korelya Capital. Market analysts and experts alike think that the company has a very potent and has the capacity to touch the value of 3 to 5 billion U.S. Dollars, the moment it gets public. This is anticipated in a coming couple of years.


A simple blueprint for building AI-powered customer service on GCP Google Cloud Blog

#artificialintelligence

As a Google Cloud customer engineer based in Amsterdam, I work with a lot of banks and insurance companies in the Netherlands. All of them have this common requirement: to help customer service agents (many of whom are poorly trained interns due to the expense of hiring) handle large numbers of customer calls, especially at the end of the year when many consumers want to change or update their insurance plan. Most of these requests are predictable and easily resolved with the exchange of a small amount of information, which is a perfect use case for an AI-powered customer service agent. Virtual agents can provide non-queued service around the clock, and can easily be programmed to handle simple requests as well as do a hand-off to well-trained live agents for more complicated issues. Furthermore, a well-designed solution can help ensure that consumer requests, regardless of the channel in which they are received (phone, chat, IoT), are routed to the correct resource.


Synechron launches AI data science accelerators for FS firms

#artificialintelligence

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 Launches AI Data Science Accelerators for the BFSI sector

#artificialintelligence

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.


9 Developments In AI That You Really Need to Know

#artificialintelligence

Over 6,000 people are attending a conference focusing on artificial intelligence (AI) that opened in Amsterdam this morning. World Summit AI brings together corporates, startups, investors, scientists, academics, NGOs along with government bodies like the UN, EU and the World Economic Forum. Participants will be learning about some of the latest innovations in AI – the creation of human-like technology - that will transform business and the ethical issues that come with it. The event coincides with Artificial Intelligence in Europe, a report by Microsoft that reveals over half of the companies surveyed expect AI to have an impact on "business areas that are entirely unknown today". Yet only 4% of companies actively use AI suggesting European businesses, at least, have an enormous mountain to climb.


9 Developments In AI That You Really Need to Know

#artificialintelligence

Over 6,000 people are attending a conference focusing on artificial intelligence (AI) that opened in Amsterdam this morning. World Summit AI brings together corporates, startups, investors, scientists, academics, NGOs along with government bodies like the UN, EU and the World Economic Forum. Participants will be learning about some of the latest innovations in AI – the creation of human-like technology - that will transform business and the ethical issues that come with it. The event coincides with Artificial Intelligence in Europe, a report by Microsoft that reveals over half of the companies surveyed expect AI to have an impact on "business areas that are entirely unknown today". Yet only 4% of companies actively use AI suggesting European businesses, at least, have an enormous mountain to climb.


Thalesians Seminar (Canary Wharf) -- Svetlana Borovkova -- AI: Sentiment in News and Social Media

#artificialintelligence

ABSTRACT The availability of powerful Natural Language Processing techniques led to the emergence of AI tool that reads and interprets unstructured textual information, such as news and social media messages. The sentiment of finance-related content influences trading and investment decisions of players in financial markets and hence, moves the prices of assets. Dr. Svetlana Borovkova has been working for several years in the area of sentiment analysis and its relation to financial markets; applications of sentiment analysis range from commodity trading to systemic risk to quantitative investment strategies. In this talk, Dr. Borovkova will give an overview of this exciting field and show, among other things, how media sentiment can be used to forecast global financial distress, to generate sector and country rotation investment strategies and to help enhance machine learning applications to intraday trading. SPEAKER Dr. Svetlana Borovkova is an Associate Professor of Quantitative Finance in Vrije Universiteit Amsterdam and Head of Quantitative Modelling in risk advisory firm Probability & Partners.