Speaker "Amjad Zaim" Details Back



Winning the Market Game with AI


Beating the Market Remains an elusive Dream. Market volatility and economic uncertainty have so far trumped even the most avid investors and brokers in search of a “quick-money” scheme. Deep learning, a new class of AI (Artificial Intelligence) algorithms, takes traditional technical market analysis to the next level by unlocking an unprecedented level of intelligence from voluminous forms of structured and unstructured market data. Time-series based learning, an important branch of AI, is gaining momentum and interest in the financial community as a mean to sift through the space of probabilities and uncover viable alternative investment scenarios that seeks to maximize returns at different market entry points. Still, the most perplexing part of most machine learning doesn’t lie in the algorithms craftsmanship but rather in the art of data representation, the mean by which viable and meaningful features are extracted from continuous market streaming data and fed into the AI machine. In my talk, I present a case study showcasing some of our work with Forex trading focusing on how to engineer signal sampling and pre-processing algorithms to morph historical market data points into discrete events-based string of data suitable for many classical data science algorithms. Through the semantic value of these features market analysts can now translate the insights generated from AI into viable investment strategies that will help better redirect their time and energy from the guessing game towards a profitable instrument that allows them to win with Big Data.


Amjad is the founder of Cognitro Analytics, an international consultancy firm dedicated to advancing the field of analytics, and is a well-seasoned data scientist with 20+ years of international experience in levering analytics in health, banking, telecom, security, government as well different public sector areas. Throughout his career, he led two US-based IT startups and assumed multiple leadership positions, more recently as chief scientist with Booz Allen Hamilton as well as chief of party of the E-health USAID-funded Flagship project. He is also a former professor of Biomedical Engineering and Computer Science at the University of Texas where he established the VIB (Vision, Intelligence and Bioinformatics) research center bridging research in artificial intelligence with business, health and industrial applications. Amjad is frequently listed amongst the top Big Data experts world-wide. In the recent Huffington Post piece on June 2017, he was featured amongst the Big Data experts in the “38 Top Experts on the Biggest Trends”. He is a regularly invited speaker to international Big Data conferences and workshops, has been numerously interviewed on the subject of Analytics and is often quoted in several technology magazines and media outlets including, Executive Banking, Computer World and Arab Health Magazine. He has contributed to the field of Data Science with more than 50 journal publications, business articles, and white papers. Amjad routinely advises government and public agencies on building data science capabilities and on the institutionalization of Big Data within the fabric of the organization. He holds two Masters in Biomedical Engineering and Computer Science, an MBA and a PhD in Biomedical Engineering from the University of Toledo in Ohio.