Disrupting Transcripts: Introducing Sentieo’s Smart Summary™

Just in time for earnings season, Sentieo is releasing Smart Summary™, a whole new way to read transcripts. 

We all know the problem that analysts and portfolio managers face four times per year: multiple companies reporting on the same day, which creates impossible scheduling conflicts, work overload, and forced prioritization, which then leads to costly missed information.

Analysts might dial into one or two consecutive high priority calls, and then go on to read another four to eight transcripts later in the day, depending on coverage. These transcripts are always read chronologically, starting with the boilerplate language on top, and ending with the analyst questions. 

Until now. 

With Sentieo’s new, ML-driven transcript Smart Summary™, we enable analysts to pick up the important information across multiple classifications, such as guidance and KPIs, while skipping over the “great quarter, guys!” parts. The segments based on these classifications can either be seen highlighted in the transcript itself or extracted, with context, in a special field. The text is also run through an NLP screen and color-coded in green or red, if needed, with enabled clickable user ratings that will continue to improve the accuracy of the learning system. In addition, Smart Summary offers keyword extractions, enabling readers to view text related to these surfaced key terms.

These features empower analysts to get the essential information in minutes, saving valuable time during the busiest periods of the year. The benefit of the ML-driven Smart Summaries does not end with faster information processing or expanded coverage; it also ensures that analysts are not missing important information on their last few transcripts at the end of the workday. 

Below we are looking at Facebook’s latest quarterly call transcript, and scrolling down to the Guidance classification text:

Below we are looking at the same Facebook transcript, but reviewing the Whatsapp key term text:

Another aspect of Smart Summary is “Table View,” which enables active sorting of sentences by the Classification score (ie. “which sentences have the most guidance language?”). This adds another layer of improved accuracy and productivity to the analyst workflow. 

The Table View is also available for surfaced keywords. Analysts can see useful statistics, like whether a keyword is new, or whether it got dropped. They can also see whether usage, by either management or analysts, is going up or down. This type of quantitative insight for keywords was previously so labor-intensive that it was rarely done, and only for one or two key terms at most.

 

How did we build Smart Summary™?

We spent countless hours training a machine learning model on a very large number of transcripts across all industries, effectively automating what an analyst would do. Once the model was up and running, we spent a lot of time on corrections and fine-tuning for this official release. 

Smart Summary™ is a blockbuster new addition to the Sentieo platform that serves our overarching mission: augmenting human decision-making through the latest technological tools. The release is a part of the latest ML/NLP update to our industry-leading Document Search, which now also includes the surfacing of synonym suggestions based on a machine learning tool trained on millions of corporate documents. (We will discuss this in an upcoming blog post).

 

To see how Sentieo’s complete workflow solution can work for you, please get in touch

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Guide to Using Alternative Data In Equity Research to Deliver Alpha: The 13 Stock Picks for H2 2019

Alternative data has become a mainstream source of data for investment managers, with up to 50% of funds now using it as a part of their research process. The question of how to get value from alternative data is no longer about access to the data sets; there are hundreds of vendors offering alternative datasets or services. Rather, it is a question of how to make that data useful to every equity analyst driving investment strategy.

Download the Picks Whitepaper now.

Large funds have made multi-million dollar investments in data science teams and big data infrastructures in an attempt to win an alternative data arms race that is predominantly driven on the hope of finding the needle in the haystack, big bet investment. However, with our 13 Alternative Data Stock Picks, we have proven that the most successful approach to alternative data is to directly embed it into the core research workflow for analysts, effectively democratizing alternative data.

This guide outlines how we used the Sentieo platform to pick our initial 11 stocks from the first half of the year, the performance of these stocks, and our Alternative Data Picks for the second half of 2019.

How Sentieo Makes the Alternative Data Stock Picks

For both the original Sentieo 11 and the new Sentieo 13 picks, we used the same methodology:

We started with the Sentieo Mosaic screen, where we looked for:

  •     A high correlation between the alternative data composite and revenue growth and/or KPI
  •     Large acceleration in the alternative data (our proxy for end-user demand) versus the consensus expectations

These correlations and significant changes in trends are what drive analyst usage of Alternative Data.

Usage of Alternative Data in Mosaic is easy to customize and is completely transparent: users can see basket weights, as well as data set performance for different time frames.

Our next step is to marry the broad screen results with our team’s 60+ years of collective fundamental, qualitative investing experience. Sentieo augments human decision-making: the charts and the stats will not give you the “why.” We do not adhere to specific investment style boxes, but we do look for revenue growth as the single largest driver of long-term results. No business ever shrank its way to greatness.

The ideal picks have strong revenue growth because they:

  •     Operate in high-growth industries, supported by long-term secular megatrends
  •     Are the leaders in their respective industries
  •     Tend to be underpriced relative to their growth rates

As a result, this set of long ideas has relatively high near-term P/E. We also looked at earnings momentum through a combination of the classic earnings upwards revision, plus our alternative data Mosaic index. Most alternative data sets do come from consumer-generated data, and most of our picks are in these two broad groups. As more and more consumer behaviors shift to digital, we expect to see the alternative data sets become more and more predictive.

Sentieo 13 H2 2019 Alternative Data Picks

Our latest set of picks is based on exactly the same methodology as before, but we have expanded our focus a little wider. Note: These are not stock recommendations, and we are sharing them to show the power of the Sentieo platform in bringing together the power of a complete financial research platform with both traditional and alternative datasets.

1) SNAP

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2) PLNT

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3) TWTR

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4) CROX


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To see Sentieo’s 9 other picks, download the full whitepaper here.

We’ll also be discussing all the picks and how we made them during our upcoming live webinar, featuring Sentieo’s CEO, Alap Shah. Register here.

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Disclaimer

The content of this report references opinions and is presented for product demonstration purposes only. It does not constitute, nor is it intended to be, investment advice or recommendations. Readers should assume that Sentieo staff members hold direct and/or derivative positions in all securities mentioned, and may transact in any and all of these securities, at any time, without notice. Seek a duly licensed investment professional for investment advice. Sentieo is not registered in any investment advisory capacity in any jurisdiction globally.

Did You Miss Our Last Webinar? Here Are Your Most Common Questions About DocSearch

Last week at Sentieo’s New York office, our Head of Research, Nick Mazing, hosted a two-hour “Ask Us Anything” live webinar.

Nick answered questions from Sentieo’s current and prospective users, covering the many functionalities of the platform. In this blog post, we will share a few Q&As about Sentieo’s Document Search feature.

How can you start with a macro topic (“China”) and quickly drill down to specifics (“Consumer Discretionary companies moving production to Vietnam”)?
Using Sentieo’s industry-leading document search, we showed how to run searches for specific documents, and how to be more efficient combining synonyms with proximity searches. We also showed the usefulness of Sentieo’s search analytics screen, where users can filter search results by industry or geography.

How do I find information about a specific irregular event (i.e., the government shutdown in 2013) in broker research reports?
We showed how to search for research reports specifically within a certain timeframe. We also looked at which industry had the most coverage around the event based on the top 10 companies that were listed in our search analytics summary.

How do I increase my productivity by saving my searches?
With saved searches, you can receive alerts when new search results hit. With Sentieo, you can save any type of search and choose exactly how you want to be notified. Nick reviewed one of the saved searches that he uses to stay on top of a topic he finds interesting.

How do I find valuable information hidden in the footnotes of tables in corporate filings?
We showed how to use the “IN:table+footnote” search functionality to uncover how a declining sales trend was actually worse due to the extra week in that fiscal year.

How about non-US filers?
Sentieo’s powerful Document Search works just as well with non-US filers. We took a quick look at the documents we have for LVMH, the French fashion conglomerate, and showed how our search functions work there, including our popular saved search alerts.

How do I create a watchlist to track my favorite tickers?
Building custom watchlists in Sentieo is one of the first steps that our users complete. We showed several ways to build watchlists, including a watchlist from Document Search results, for example, “all companies mentioning a certain term in the Risk Factors section of their 10-K’s.” The extensive level of customization for the alerts/notifications related to each watchlist can help you save hours of time.

How do I get free food? Free admission to events?
We used Sentieo’s Document Search to find free food! Our attendees now know about the free donuts coming up for National Donut Day on Friday, June 7th, 2019, at Dunkin’ Donuts, as well as many other current offers. These searches aren’t just for fun, though. We show you how to track retailer promotional intensity over the years using this type of search.

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Introducing Sentieo Relevance Search

Sentieo’s overarching mission is to augment human decision-making through the application of the latest technologies. We are proud to demonstrate this with our most recent improvement to the platform:

Sentieo Continues to Lead In Search Tech with Relevance Search

Clients already love our smart Document Search, which offers:

  • tens of millions of documents, searchable across many dimensions
  • 1000+ synonyms/acronyms
  • extended Boolean operators and proximity
  • in-section/in-table/in-footnote searches
  • saved search alerts
  • extensive document tagging including sell-side report classifications
  • search statistics for quantifying trends
  • seamless integration into notes, and much more.

The newly released Relevance scoring algorithm, custom-built by our global team of data scientists, will surface documents most likely to be relevant to your search based on multiple factors derived from the statistical properties of the documents and the queries. For example, some of the factors considered are density within the document (inclusive of synonym matches), clustering, and recency. Relevance scoring is based on true machine learning and will only improve as Sentieo DocSearch “learns” over time. It gives you, the user, more time to focus on analysis where you add value, rather than on tedious searches.

But we didn’t stop there. Another new sorting option is Sorting by Hits — because we know that sometimes you need the most recent documents at the top, sometimes you need the document with the most hits (mentions), and sometimes you need the one that is the most relevant. You can now toggle between these sorting options in one click, which allows you to compare the results before you dive in. You can also sort by document size and by ticker for your multi/all ticker searches. You are in control of the format that fits your needs.

Users will find relevance searches suitable for broad initial overviews of topics: your search might pick up sector primer reports from the sell side, or a very topical deck from a corporate. Users more familiar with a topic might still prefer the reverse-chronological order of documents for the latest on the topic. And, for people getting specifically into details, we have the specialized searches, such as in-transcript, said-by-the-CEO, or in-table searches that let you find the numbers around your topic within seconds.

relevance

And there is still a lot more to come. The 2019 Document Search product pipeline is better than ever, and you will see additional applications of AI/ML coming soon!

 

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Our $19 Million Series A Round: What It Means For Sentieo and the Future of Financial Research Software

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By Alap Shah, CEO @ Sentieo: On behalf of the entire Sentieo team, I’m proud to announce that Sentieo has secured $19 million in Series A funding. We are thrilled to have Centana Growth Partners leading the round, and we couldn’t be more excited to welcome Eric Byunn to our board of directors.

This milestone caps 18 months of accelerating momentum at Sentieo, driving a tripling of our client base to 700, a doubling of our global headcount to 160 and the release of the Sentieo Notebook / RMS (Research Management System) for collaboration. While we’re certainly celebrating today’s milestone, fundraising is merely a means to our ultimate end- accelerating human productivity and collaboration in the financial space.

We’ve come a long way from our earliest days, when my brother Naman and I began building tools to improve my own research productivity in running our family office portfolio. Working with our early engineering team, I remember being struck by the huge and immediate performance boost I experienced when I was delivered search and analytics software that was custom built for my workflow. This new capital will help accelerate our R&D spend and go-to-market strategy to help us deliver this same productivity boost to more financial decision makers globally.

The pace of change continues to accelerate in the financial industry, with increased regulation, continued shifts to passive and quant strategies and shrinking trading commissions / fee pools. In our experience, the most important underlying change is the relentless explosion in data available to inform decisions. Beginning with the internet and accelerating with mobile, cloud and now AI, data is multiplying, together with the opportunity for insight. There is a prevailing narrative across industries including finance that algorithms are best equipped to generate this insight, translating to a growing loss of human jobs.

We see things a bit differently from our unique vantage point. AI and related technologies such as Natural Language Processing (NLP) are best at performing repetitive, trainable processes. In our world we use AI and NLP to help researchers take away the monotonous work of extracting financial data from tables, finding key management commentary in a transcript or alerting a user to changes in a company’s risk factors disclosures. Using our tools, analysts can drastically increase their speed and coverage without sacrificing the depth and accuracy of their work, freeing them up for more meaningful work that only humans can do. Getting out from behind their desks, researchers can visit more management teams, attend more industry conferences and spend time cultivating unique data sources to develop differentiated viewpoints on markets and industries.

Finally, as the stakes go up and the number of data inputs increase, finance continues to become more of a team sport. Our work with increasingly matrixed organizations with diffuse knowledge and skill sets has underscored the unique challenges in bringing an organization’s best thinking to bear in driving decisions. This institutional knowledge management and collaboration function is a uniquely human act that can’t be matched by machines. Sentieo’s Notebook / RMS is custom designed to enable humans and software to work seamlessly, automating knowledge sharing, cataloguing decision points, leaving a clear audit trail and allowing concise measurement of outcomes. The results are clear- better visibility, accountability and performance.

To see how Sentieo can make you Superhuman, simply go to Sentieo.com and sign up for a free trial. If you would like to receive content related to topics of interest in the markets, don’t forget to subscribe to the Sentieo Blog so that we can notify you of new posts by email.

Sentieo Voted “Best Artificial Intelligence Technology Provider” By 2018 Waters Technology Rankings

Last week at The Players social club in Manhattan, Sentieo was presented with the 2018 Waters Rankings Award for Best Artificial Intelligence Technology Provider. Alap Shah, CEO of Sentieo, and Geoffrey Suen, Product Specialist at Sentieo, proudly accepted the award for the team.

“This award means a lot to the Sentieo team because the Waters Rankings are voted on solely by software end-users,” says Alap Shah, the CEO of Sentieo and a former equity investor himself. “We’re happy that users are impressed with our AI-powered transcript sentiment analysis feature.”

These end users, who represent a large swath of the capital markets, cast their votes over a six-week period to determine the award winners.

Shah continued: “We’re honored to receive this award and are excited to continue delivering a comprehensive product for equity investors that includes easy sentiment analysis, document search, alternative data, collaboration, and many other cutting-edge features that they want and need —in order to be efficient and ultimately more successful.”

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Fintech Innovator Sentieo Launches Game-Changing Data Search Technology

To sign up for a free trial- click here.

SAN FRANCISCO and NEW YORK, May 11, 2016 /PRNewswire/ — Today two brothers, Alap and Naman Shah, unveiled Sentieo, a powerful equity research platform that arms financial analysts with new ways to quickly search, visualize, and interpret data allowing them to do deeper, faster research, spot business inflections earlier, and generate better returns.

Sentieo has been quietly building momentum for over three years leading up to today’s official launch, offering a lightning fast, thoughtfully designed web and app based interface developed by Sentieo’s team of 40 engineers, which is already speeding up the workflow of more than 60 clients. Sentieo’s clients include two of the top ten hedge funds, as well as numerous top mutual funds, investment banks, financial advisors, research houses, and corporate development departments.

Sentieo is first and foremost a search engine, focusing its natural language processing (NLP) and deep semantic search technology on an exhaustive database of global financial documents. Users can instantly search SEC filings, transcripts, broker research, and news to find key text and data. Users may then pull data using Sentieo’s table extraction technology and highlight and annotate key text and figures on the fly. All work performed on the platform pushes into the user’s cloud-based Sentieo Notebook that serves as a light-touch Research Management System (RMS) for organizing and collaborating on research content. Additional content can be pulled in via email and Sentieo’s browser extension webclipper, becoming instantly available in the user’s Sentieo Notebook that is accessible from a user’s desktop, iPad and iPhone apps, and via Sentieo’s Excel Plugin.

“The magic of Sentieo is that it understands and caters to an analyst’s workflow, allowing you to centralize activities previously performed in Excel, Evernote/OneNote, chat, document search, and your financial terminal, all in a single, seamless platform,” said Sentieo CEO Alap Shah.

While working as a hedge fund analyst covering consumer equities at Viking Global Investors and in Citadel’s Global Equities business, CEO Alap Shah realized that existing financial data platforms were unable to keep up with his need to process information about hundreds of companies and positions every day. The seed of Sentieo was planted, resulting in a platform built from the user’s point of view, automating key processes and ensuring timely alerts on key textual and contextual changes in documents and data. Sentieo’s key services have been architected with a user first philosophy by a world-class team of Product Managers with previous Analyst and Portfolio Manager experience at top buy-side shops including Balyasny Asset Management, Pine River Capital Management, Scout Capital, Casablanca Capital, and Citigroup’s prop trading desk, as well as investment banking experience from JPMorgan, Lazard, and Standard Chartered Bank.

Employing the latest in machine learning and predictive analysis, Sentieo’s new Mosaic service stands at the forefront of the growing “Quantamental” investing trend, arming fundamental investors with quant tools to help forecast demand and price movements. By tracking, scrubbing, and visualizing key company/brand data such as website traffic, search volumes, Twitter mentions, app downloads and more, Mosaic allows analysts to correlate web interest to revenue growth and price performance, driving a significant alpha generation edge. Freeing analysts from tedious work in Excel and removing the need for in-house engineers, Mosaic allows funds to track and maximize the benefit from all the valuable datasets they acquire or create.

Sentieo further alters the fintech landscape with a range of unique features, including:

A desktop built for the web and cloud, architected using the most recent web frameworks with no software to download or maintain;
Mobile applications (iPad, iPhone and Android) designed simultaneously with the core desktop platform to offer a full range of services with seamless transitioning and sync across devices;
World class collaboration technology using the Sentieo Notebook, as well as collaboration centralization, reporting and audit for CTOs and compliance officers.
“Sentieo works the way a modern financial platform should. It not only generates better search results faster, it incorporates a broader and more complex combination of financial and real-world datasets to produce a more revealing picture of what’s actually happening in the real world,” said Alap Shah.

To create Sentieo, Alap partnered with his brother, Naman Shah, Sentieo’s president. Previously, Naman developed breakthroughs in low-cost reverse osmosis filtration technology, water delivery networks, and cloud technology as co-founder of Sarvajal, a social enterprise that provides clean drinking water to over 300,000 underserved villagers in India. Together Naman and CTO Rajdeep Singh have built a world-class team of engineers and designers that drive the rapid pace of Sentieo’s product innovation.

“We wanted to take a new approach to a field that isn’t innovating fast enough, and discard all assumptions,” said Naman Shah. “It’s not only about what users want, it’s also about what they don’t yet know they want. By combining institutional quality financial data with the most advanced analytical technology, we built something that is more useful than existing tools and effortlessly intuitive.”

For more information on Sentieo, visit https://www.sentieo.com/.

About Sentieo
Sentieo is a revolutionary equity research platform designed by hedge fund analysts determined to put the user first. Combining traditional and innovative datasets, it increases efficiency and boosts alpha generation for asset managers, investment banks, and corporations. Serving a global customer base, Sentieo has a team of 60 with offices in San Francisco, New York, Florida, and New Delhi, India.

To sign up for a free trial- click here.

Reposted from: http://www.prnewswire.com/news-releases/fintech-innovator-sentieo-launches-game-changing-data-search-technology-300266904.html

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