With 6000 tweets per second, Artificial Intelligence company, Isentium, collects and analyses social media data in real time, turning it into tradable data. Now, we may begin to understand the voice of the crowd.

As I looked at this collection of patents, I realized that I am incredibly fortunate to have been the recipient of wisdom from: Prof. Gerald H.F. Gardner, RADM G. Lafayette Maynard, Prof. Frank Holt, Dr. Norm Uren, Ted Mariner, Iain Findleton, our own Dr. Anna Maria di Sciullo (FRSC) and John Snyder who taught me the basics about (F)requency (M)odulating the naysayers. About iSentium Founded in 2008, iSentium uses patented Natural Language Processing (NLP) to extract sentiment from unstructured social content then instantly transforms it into highly actionable indicators in Finance, Brand Management and Politics. Our world-class team comprised of linguists, quants and computer scientists has collectively published over 200 papers and 18 books. To schedule a capabilities demo call (212) 858-9694. Or send us an email at: inquiries@isentium.com.

Founded in 2008, iSentium's expert team hails from both industry and academia and has collectively published more than 200 papers and 18 books. I am the CEO of iSentium. Given the small size of our team, I am deeply involved in the day-to-day running of the firm. B) sales and market development, given that we are in early innings with respect to applied artificial intelligence. I attended the University of Houston where I studied electrical engineering and history.

Below you see iSentium Twitter sentiment on a one month chart for Union Pacific Corporation straight off the iSENSE dashboard. Here iSentium social sentiment clearly shows Union Pacific picking up massive amounts of steam. To see more charts, go to the "Charts"section at our updated website: www.isentium.com. Founded in 2008, iSentium uses patented Natural Language Processing (NLP) to extract sentiment from unstructured social content then instantly transforms it into highly actionable indicators in Finance, Brand Management and Politics. Our world-class team comprised of linguists, quants and computer scientists has collectively published over 200 papers and 18 books.

We're happy to see that iSentium CEO Gautham Sastri's hypothesis is shared by 2017 Nobel Prize winner, Mr. Richard Thaler. We offer our sincerest and most rational congratulations to Mr. Thaler for his breakthrough work in behavioral finance. Founded in 2008, iSentium uses patented Natural Language Processing (NLP) to extract sentiment from unstructured social content then instantly transforms it into highly actionable indicators in Finance, Brand Management and Politics. Our world-class team comprised of linguists, quants and computer scientists has collectively published over 200 papers and 18 books. To learn more about what iSentium can do for you, call Jake Sedlock, Chief Revenue Officer, at (206) 683-6003.

Sameer Gupta knows about electronic markets. The former COO for J.P. Morgan's global electronic equities trading and Americas high touch and program trading business has been steeped in trade mechanization since graduating from Carnegie Mellon University in 2003. He's worked as a programmer at Goldman, a business development executive at NYSE Euronext and an electronic trading implementer at J.P. Morgan. Now, he's C.O.O. of iSentium, a company that uses intelligent algorithms to turn social media sentiment into tradeable data. And he says banks are getting their approach to artificial intelligence (AI) all wrong.

Just because one Goldman Sachs MD quit banking for an elusive residency at Google Brain, don't assume you need to leave finance to pursue your passion for machine learning. As artificial intelligence (AI) comes of age, there are a growing number of firms putting self-teaching computers to work in financial services. Better still, most of them are hiring. These are the top companies in the finance world for machine learning right now, along with who they like to hire and the vacancies they have open. If you're interested in machine learning, you may want to apply soon – universities globally are currently training-up thousands of machine learning specialists, including several savvy former traders who saw this trend coming.