Gautham Sastri/Nasdaq Webinar Recap

Yesterday iSentium CEO Gautham Sastri sat down with Nasdaq’s Oliver Albers for Nasdaq’s final webinar of 2017 entitled: Hiding in Plain Sight; a year of Equities Movement Foretold by Social Sentiment.

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iSentium CEO Gautham Sastri takes the audience through a live demo of the iSENSE dashboard.

One of the highlights was the live demo portion where Mr. Sastri took real time ticker requests from the audience and displayed the results in real time on the iSENSE dashboard.

Sample question from the audience: “Is there an investment area where you have found this data and analysis not to work?”

Mr. Sastri replied, “I’m going to find a chart that shows that this doesn’t work.”  He then walked through BTC, GE, AAPL, USO, GLD, GPRO and others as requested.  The dashboard failed to fail.  Each time he hit the return button iSentium Patented Artificial Intelligence proved to be an accurate predictor of sentiment driving price.

“I’m trying to screw up. It ain’t happening, ” said Sastri.

To play the 48 minute webinar in its entirety, go here: Hiding in Plain Sight; a year of Equities Movement Foretold by Social Sentiment.

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. iSentium is proven in the market and is vetted by J.P. Morgan and NASDAQ.

iSentium’s management team brings a wealth of experience from both industry and academia with skills ranging from Big Data, finance, linguistics and signal processing. Our world-class team comprised of linguists, quants and computer scientists has collectively published over 200 papers and 18 books.

Knowledge is power. Knowledge is alpha. Knowledge is edge. iSentiumKnows.™

To learn more about what iSentium can do for you, call Jake Sedlock, Chief Revenue Officer, at (206) 683-6003. Or send him an email at: Jake.Sedlock@iSentium.com.

 

 

Hiding in Plain Sight; A Year of Equities Movement Foretold by Social Sentiment With Gautham Sastri

As 2017 comes to a close, Nasdaq and iSentium revisit the hottest flash points in US equities, and how social media played a predictive role through science-honed sentiment.

Sentiment data covered in this session is derived in real time from full access to Twitter feeds plus other social media platforms in a universe of 1,500+ tickers in the Russell 3000.

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This webinar will be hosted by Oliver Albers, VP, Nasdaq live online December 14th at 11:00 am EST. To register for this valuable webinar go here.

This webinar is hosted by Oliver Albers. Mr. Albers leads Nasdaq’s sales and account management teams for the firm’s Information Services business line. Encompassing core data products, index creation and ETF partnerships, Nasdaq Dorsey Wright, and Nasdaq’s machine intelligence initiatives, he is responsible for bringing to market next generation solutions that touch every type of capital market participant—advancing their trading strategies and infrastructures.

Featuring Gautham Sastri, CEO & President, iSentium. Gautham Sastri is a seasoned technology entrepreneur and investor with over 30 years of experience in signal processing, cloud computing, and intelligence gathering. The former COO of SGI, Gautham holds 3 patents and has published 40+ papers on signal processing. He has a track record of tackling big data problems in areas that range from seismic processing to weather forecasting to large-scale simulations/data analysis for government agencies.

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. iSentium is proven in the market and is vetted by J.P. Morgan and NASDAQ.

iSentium’s management team brings a wealth of experience from both industry and academia with skills ranging from Big Data, finance, linguistics and signal processing. Our world-class team comprised of linguists, quants and computer scientists has collectively published over 200 papers and 18 books.

Knowledge is power. Knowledge is alpha. Knowledge is edge. iSentiumKnows.™

To learn more about what iSentium can do for you, call Jake Sedlock, Chief Revenue Officer, at (206) 683-6003. Or send him an email at: Jake.Sedlock@iSentium.com.

Mike’s Memo: The .1 percent of the .1 percent

I think I got my position at iSentium as a fluke.  Well maybe not. You be the judge. Cast your vote at the end.

When I first met iSentium CEO Gautham Sastri, I was teaching his two boys how to swim and we all were having a blast. We never talked about his work or my background. Just about kid stuff. And I knew nothing at all about Artificial Intelligence.

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I don’t know what I said or what I did but somehow I convinced Gautham that I would be a suitable personal trainer for him…even though I had never done it before.

And so it all began.

I was always on time to our training sessions and I was always prepared. I found it funny that sometimes he would text to let me know he was running 90 seconds late. But I did not know about his real obsession for precision until one day he saw a plate at our workout and said, “The math is wrong. 11.3 KG does not equal 25.” And in fact, he was right. 11.3 KG equals 24.91224

 

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Then one night after training he asked me if I was free the following night to meet about a job. Like a job job with his company, iSentium.

Here’s what he knew (and perhaps why I was being considered):

-Mike is the fastest butterfly swimmer in the United States over 50.

-Mike comes prepared.

-Mike is consistent.

-Mike knows what it takes to win.

So.

The next night we met for 4 hours. Yes I got grilled for most of time. But not as much as the next day when we met for 7 hours. He made me an offer. I accepted.

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“You want to know why I hired you?” he asked.

“I hired you because you’re a winner. I like to work with winners.”

Continue reading “Mike’s Memo: The .1 percent of the .1 percent”

Chart Of The Day. TSLA Over The Past Quarter

This is a short post but a good one. Below you see iSentium Twitter sentiment eerily accurate on TSLA over the past quarter. Notice the direct predictive correlation between sentiment and price movement.

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To see more charts, go to the “Charts”section at our updated website: www.isentium.com. 

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. iSentium is proven in the market and is vetted by J.P. Morgan and NASDAQ.

iSentium’s management team brings a wealth of experience from both industry and academia with skills ranging from Big Data, finance, linguistics and signal processing. Our world-class team comprised of linguists, quants and computer scientists has collectively published over 200 papers and 18 books.

Knowledge is power. Knowledge is alpha. Knowledge is edge. iSentiumKnows.™

To learn more about what iSentium can do for you, call Jake Sedlock, Chief Revenue Officer, at (206) 683-6003. Or send him an email at: Jake.Sedlock@iSentium.com.

 

 

 

Quick Post: iSentium Leadership Meets Gene Kranz

iSentium leaders from around the US flew to Houston this week to have a fireside chat with American Treasure,  Gene Kranz.  Mr. Kranz spoke on his leadership methodology, his task assignment methodology during both “normal” and crisis periods, and how he selects talent, among many other topics.

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iSentium CEO Gautham Sastri with Gene Kranz.
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Gene Kranz speaks as Dr. Anna Maria Di Sciullo, iSentium Chief Technology Officer, looks on. 

 

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A full report including video excerpts is forthcoming.

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. iSentium is proven in the market and is vetted by J.P. Morgan and NASDAQ.

iSentium’s management team brings a wealth of experience from both industry and academia with skills ranging from Big Data, finance, linguistics and signal processing. Our world-class team comprised of linguists, quants and computer scientists has collectively published over 200 papers and 18 books.

Knowledge is power. Knowledge is alpha. Knowledge is edge. iSentiumKnows.™

To learn more about what iSentium can do for you, call Jake Sedlock, Chief Revenue Officer, at (206) 683-6003. Or send him an email at: Jake.Sedlock@iSentium.com.

Gautham Sastri will be speaking at Newsweek’s Artificial Intelligence & Data Science in Capital Markets Workshop

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iSentium CEO Gautham Sastri will be on the NLP panel. Mr. Sastri has co-authored patents both in cloud storage and sentiment extraction.

Details for the workshop info can be found here.

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Gautham Sastri

Info on Mr. Sastri’s appearance can be found here.

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. iSentium is proven in the market and is vetted by J.P. Morgan and NASDAQ.

iSentium’s management team brings a wealth of experience from both industry and academia with skills ranging from Big Data, finance, linguistics and signal processing. Our world-class team comprised of linguists, quants and computer scientists has collectively published over 200 papers and 18 books.

Knowledge is power. Knowledge is alpha. Knowledge is edge. iSentiumKnows.™

To learn more about what iSentium can do for you, call Jake Sedlock, Chief Revenue Officer, at (206) 683-6003. Or send him an email at: Jake.Sedlock@iSentium.com

 

 

 

 

iSentium Uses AI for Sentiment Analysis of Social Media [Interview]

iSentium, which has offices in the US and Canada, harnesses applied artificial intelligence to extract sentiment from unstructured social media content and transform it into actionable insights in verticals such as finance, politics, and brand management.

Founded in 2008, iSentium’s expert team hails from both industry and academia and has collectively published more than 200 papers and 18 books.

Machine Intelligence iSentium: Breakthrough Sentiment Analysis

iSentium’ CEO, Gautham Sastri, talks about the inspiration behind the company, its patented NLP technology, the power of social media content, and more.

What’s your role and what does that entail on a daily basis?

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.

I focus heavily on:

A) product development, leveraging my data science skills developed over a 30-year career in signal processing, seismic acoustics, and weather forecasting; and

B) sales and market development, given that we are in early innings with respect to applied artificial intelligence.

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What did you do prior to joining iSentium?

I attended the University of Houston where I studied electrical engineering and history.

I started my career working for the US Navy writing signal processing algorithms to look for Russian submarines. Subsequently, I spent a few years at NEC in their supercomputing division before embarking on the entrepreneurial route.

My first startup, Maximum Throughput, supplied racks of servers to clients, including the Los Alamos Laboratory. While at Maximum Throughput, I was invited to join Intel’s Server Advisory Council, which was tasked with providing key inputs to their server technology roadmap.

Upon acquisition of Maximum Throughput by Avid Technology (Nasdaq: AVID), I started Terrascale, which provided cloud storage solutions (in 2003) for large scale text analysis.

Terrascale was acquired by Rackable (now SGI Corp). I became COO of the new entity and managed a $500M business.

What was the deciding factor that led you to join iSentium?

With the advent of social media, I saw an opportunity to commercialize text analysis for actionable insights across verticals and domains.

iSentium had a talented team of linguists led by Anna Maria Di Sciullo, a professor at the University of Quebec who had studied under Noam Chomsky at MIT.

I got involved initially as an investor and then joined the company as CEO in 2010.

What’s the most challenging aspect of your role?

Educating the market and proving the value of social media data has been a key challenge that we have slowly been overcoming.

The nature of social data is very different from traditional data sets and hence requires new methods of analysis.

That being said, we have done a fairly good job proving the value proposition in capital markets and trading, where you have a binary outcome.

What was the inspiration behind iSentium?

The big opportunity to analyze and interpret a galactic amount of social content was a prime consideration.

Relatively speaking, platforms’ (Google, Facebook) lack of focus on the content made this opportunity even more interesting and attractive.

Early focus and research under the leadership of one of the top linguistics experts provided the right platform to embark on our vision to “Decode Social Sentiment.”

How do you utilize big data and NLP to analyze sentiment in social media content?

We are connected to Twitter and have access to both historical and real-time social media content.

Our NLP technology can assign a sentiment score to each message in about four milliseconds and can scale horizontally to process millions of messages per second.

Machine Intelligence iSentium: How iSentium Works

To what verticals are you currently applying your technology?

Our three verticals are Financial Indicators, Political Insights, and Brand Analytics. Finance came first.

How has your focus shifted over time, if at all?

We are being approached about leveraging our NLP capabilities to extract consumer sentiment by leading advertising agencies, management consulting firms, and brands themselves.

Where do you see the biggest opportunity in the long run?

While we will continue to deepen our penetration in financial services, we believe the bigger opportunity is in consumer sentiment that applies across industries.

We have already proven our efficacy and ability to mine sentiment cross-vertical, having run multiple proof of concepts on consumer sentiment on fast food and restaurant chains.

Machine Intelligence iSentium: Brand Analytics

How would you define your key value proposition for customers?

We produce the most accurate interpretation of natural language given a particular context.

For example, in finance, we have reached an 80% accuracy rate where a human agrees with the machine in its understanding of a given piece of text related to the stock market.

How would you describe your typical customer?

Within financial services, our clients range from leading quantitative hedge funds and systematic global macro funds to high frequency trading firms and investment banks.

Our new product suite for financial services is a real-time dashboard that will enable asset managers and long/short hedge funds to quickly sift through social media data and develop insights for fundamental analysis.

Machine Intelligence iSentium: Financial Indicators

Was the product fully designed and developed in-house?

Our NLP capabilities have been built from the ground up since 2008. At any point, we have had up to six PhDs in linguistics working on the product.

We filed a family of patents in the early part of the decade and have already been granted two patents. We did not use any open source tools.

How much training data do you typically require for a new customer?

We don’t train our models, and there is no machine learning involved.

For stock sentiment, we have a lexicon of about 15,000 words that is used for analyzing text and assigning sentiment scores.

How quickly can your system react to news on social media and adapt your signals?

Depending on signal logic, we can react instantaneously to a burst of social chatter or it can be much slower moving and relies more on continuous sentiment extracted from a much longer time period.

Machine Intelligence iSentium: Politiical Insights

What’s the most exciting trend in machine learning from iSentium’s perspective?

In our view, machine learning does not simulate natural language learning by humans.

The universal properties of natural languages are not learned by humans who may make mistakes with vocabulary items, but not with the structure-dependent properties of natural language. 

Whatever language they are exposed to, humans (particularly children) are capable of inducing a grammar for that language without formal or algorithmic instructions.

In essence, humans are able to learn language deterministically. On the other hand, machine learning algorithms tend to learn from scratch and after extensive training periods.

What advances in machine learning have benefitted iSentium the most?

Instead of machine learning, iSentium relies on an innovative artificial intelligence structure-dependent technology.

This patented technology makes correct predictions on the sentiment of short texts, such as tweets, where natural language constituents are missing, as well as longer texts, which may include non-relevant topical information.

Both covert and irrelevant topical information cannot be dealt with by natural language technologies based on machine learning. For example, in the case of short messages, the covert information is not learnable because it is not explicitly included in the message.

Machine Intelligence iSentium: Quote from iSentium CEO

Are there any limitations on machine learning iSentium would like to see removed?

Machine learning is not a simulation of learning expressions in any natural language by human’s brains. It is a matter of modifying the algorithm’s parameters at each step to reduce the error value.

Neural networks are assumed to be non-deterministic algorithms. Non-determinism is one of the limitations of machine learning preventing it from simulating human intelligence.

This is particularly the case for machine learning based NLP applications, ranging from information retrieval to information extraction, including sentiment mining and question answering systems. 

The compelling evidence comes from recent discoveries related to the granular modularity of the human brain, which is the biological basis of the human capacity to express simple and complex thoughts using natural language.

Does iSentium consider itself a machine intelligence company?

iSentium is an artificial intelligence company that simulates natural language processing by humans.

Its universal core can be parameterized to any natural language, as well as to any domain of interpretation, including finance, politics, and brands. Effectively, it mimics human natural language intelligence.

We have packaged our underlying sentiment data through a few applications already, including finance, where we have built a significant presence and brand on Wall Street, and are now providing highly actionable solutions to advertising and other verticals.

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. iSentium is proven in the market and is vetted by J.P. Morgan and NASDAQ.

iSentium’s management team brings a wealth of experience from both industry and academia with skills ranging from Big Data, finance, linguistics and signal processing. Our world-class team comprised of linguists, quants and computer scientists has collectively published over 200 papers and 18 books.

Knowledge is power. Knowledge is alpha. Knowledge is edge. iSentiumKnows.™

To learn more about what iSentium can do for you, call Jake Sedlock, Chief Revenue Officer, at (206) 683-6003. Or send him an email at: Jake.Sedlock@iSentium.com.

This article has been edited for length. Link to the Original content can be found here: http://thinkapps.com/blog/development/machine-intelligence-isentium-interview/