alternative data


BAML hires top machine-learning quant from J.P. Morgan

#artificialintelligence

Bank of America Merrill Lynch hired Rajesh Krishnamachari, formerly a senior quantitative strategist and researcher at J.P. Morgan, as the head of data science for equities in New York last month. BofA's new equities-focused data-science team is using machine learning and artificial intelligence to get insights from proprietary data and develop new products that have an impact on the top and bottom line of the business. A Bank of America spokeswoman confirmed his employment but declined to comment further. Krishnamachari joined J.P. Morgan's equity derivatives quantitative research team in 2014. Primarily using Python, Java and the XGBoost software library, he designed and back-tested systematic options, VIX and equities trading strategies, as well as an ultra-high-frequency execution algorithm for trading VIX futures.


Assembles Visionaries and Practitioners in Artificial Intelligence, Data Science, Alternative Data, Blockchain and ALIS - MOV37

#artificialintelligence

Board to help MOV37 find, develop and nurture the new wave of young talent revolutionizing investment management. New York, March 8, 2018 – MOV37, the research and investment platform for Autonomous Learning Investment Strategies (ALIS), has assembled an Advisory Board to help find, develop and nurture the young talent that will revolutionize investment management. "The Advisory Board's primary role is to push us outside our intellectual comfort zones," says Adil Abdulali, Chief Science Officer and President at MOV37. The Board will partner with MOV37 in exploring how technology is fundamentally changing investment management and identifying and supporting the young ALIS managers at the forefront of that disruption. Raphael Douady earned his math PhD in Hamiltonian systems in Paris and holds the Robert Frey Endowed Chair for Quantitative Finance at Stony Brook, New York.


For the finance sector, big data keeps getting bigger

#artificialintelligence

The value that can be extracted from a growing wealth of data across boundless sectors is only just beginning to be grasped. If you look at search engines or digital commerce platforms, an almost direct relationship exists between the amount of data users willingly give up and the value this has. There is also the fact that those with the most data at their disposal will probably have the best artificial intelligence in the future, making them nigh on invincible. In finance, data of one sort or another has always held intrinsic value. People who trade in the zero-sum game of capital markets all need a Bloomberg terminal or Thomson Reuters data to have a look at all the traditional price information, earnings estimates and so on.


Need a job? Why artificial intelligence will help human workers, not hurt them

#artificialintelligence

Updated In 2013, James "Jimi" Crawford founded a company called Orbital Insight, barely noticed at the time amid the Silicon Valley froth. Crawford had worked at NASA for 15 years and wrote software for Mars rovers. He left NASA to run engineering for Google Books, and while there he noticed that Elon Musk's SpaceX and other new companies were driving down the cost of building and launching satellites. Orbital Insight's first product looked at images of cornfields all over the world, analyzing the health of plants to predict yields for traders who bet on future price swings.


More Jobs, Jobs, Jobs Thanks to AI - DiscoveryVest

#artificialintelligence

In that DiscoveryVest provides data recognition services, we fully appreciate that within the last couple of years, computers have become better at object recognition than humans. We also know that there are many misnomers out there about AI and the effect on human workers.


Need a job? Why artificial intelligence will help human workers, not hurt them

#artificialintelligence

In 2013, James "Jimi" Crawford founded a company called Orbital Insight, barely noticed at the time amid the Silicon Valley froth. Crawford had worked at NASA for 15 years and wrote software for Mars rovers. He left NASA to run engineering for Google Books, and while there he noticed that Elon Musk's SpaceX and other new companies were driving down the cost of building and launching satellites. Crawford saw an opportunity to collect and analyze what he anticipated would be a deluge of images from a surfeit of new satellites that would circle the Earth, taking readings and pictures. Orbital Insight's first product looked at images of cornfields all over the world, analyzing the health of plants to predict yields for traders who bet on future price swings.


New Frontier of Artificial Intelligence in Banking

#artificialintelligence

Focused on applications beyond fighting fraud, this is the second article of a two-part series on the deployment of artificial intelligence in banking. Part 1 of Artificial Intelligence – The New Frontier in Banking discussed how important machine learning has become to financial institutions in the fight against fraud.


Three trends alternative asset managers must watch out for in 2018

#artificialintelligence

Digitalisation, alternative data sets and enterprise data analytics will be critical in decision making for asset managers seeking high returns in the coming year, according to an outlook for the alternative asset management sector by Indus Valley Partners.


How Much Can We Trust AI?

International Business Times

Artificial intelligence software gets more sophisticated almost every day. Computers can already beat human experts at chess, stock market predictions, and detecting cancer. Yet most machine learning experts believe we shouldn't hand over complete control to AI-powered robots any time soon.


Your Geolocation Data Is Already For Sale

International Business Times

You don't even need to make a purchase or visit a website for data science companies to collect information about you. There are all kinds of public data, from property tax records to company and university information, aggregated through startups such as Enigma while Thasos and Reveal Mobile sell pedestrian geolocation data.