Sundeep Sanghavi

Sundeep Sanghavi

Washington DC-Baltimore Area
10K followers 500+ connections

About

I invest in AI, automation, and data intelligence, backing domain-specific AI solutions…

Articles by Sundeep

Activity

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Experience

  • DX.Partners Graphic

    DX.Partners

    Washington D.C. Metro Area

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    Redwood City, California, United States

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    McLean, Virginia, United States

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    McLean, Virginia, United States

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    Washington D.C. Metro Area

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    San Francisco Bay Area

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    San Francisco Bay Area

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    DC Metro

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Education

  • Stanford University Graphic

    Stanford University

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    Grow faster. Grow stronger. Grow sustainably. It's what every rapidly growing company needs to do to survive and thrive in today's dynamic global marketplace. New strategies are needed. New thinking is required. Strong leadership is demanded. And that's exactly what the Executive Program for Growing Companies delivers.

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    Activities and Societies: ISA

Publications

  • How Data Science and Machine Learning will save lives on the roads

    Robotics and Automation News

    Recalls happen all too frequently, often as a result of some horrendous accident or incident. But there are ways in which the predictive qualities of data science and machine learning can relegate recalls to the annals of history.

    See publication
  • Man vs. Machine: Aviation’s Predictive Maintenance Challenge

    Aviation Pros

    In this article, I discuss the many hurdles that can be easily applied to predictive maintenance in the aviation sector, which like many other industries around the world has not reached its full, data-enabled potential. With 10 times return on investment for aviation companies and a potential 70 to 75 percent reduction in airplane breakdowns, there is a clear case for automated predictive maintenance in the aviation industry.

    See publication
  • Revolutionizing Manufacturing with Predictive Maintenance Analytics

    Manufacturing Business Technology

    With effective insights into the health of machines, manufacturers can solve issues before they get serious, and potentially save millions of dollars a year in repair costs and help extend machine lifetimes. In this article, I discuss the primary challenges that industry faces when it comes to predictive maintenance? And how will fully-automated predictive maintenance improve services to clients and the bottom line for companies?

    See publication
  • Three Ways Predictive Maintenance Will Make Connected Cars a Data Goldmine

    Product, Design and Development

    As manufacturers scramble to position themselves to create value in this up-and-coming connected chain, they’re also realizing that they need robust and reliable tech infrastructures that can automatically separate the signal from the noise amid billions of sensors. In this article, I share my thoughts on how manufacturers need not waste infinite amounts of time and money retroactively analyzing data that’s likely outdated or irrelevant.

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  • 3 Big-Picture Insights Predictive Maintenance Can Provide Manufacturers

    MBT Magazine

    Efficiently maintaining equipment requires a thoughtful balance between ensuring your machinery works at its optimal performance while keeping maintenance and repairs to a minimum. Predictive maintenance can keep in-service equipment in shape by predicting when maintenance should be performed. Manufacturing companies know the basics that affect their need for maintenance. This article will go more in depth and show how data can play a role in predicting future needs. It will offer a list of…

    Efficiently maintaining equipment requires a thoughtful balance between ensuring your machinery works at its optimal performance while keeping maintenance and repairs to a minimum. Predictive maintenance can keep in-service equipment in shape by predicting when maintenance should be performed. Manufacturing companies know the basics that affect their need for maintenance. This article will go more in depth and show how data can play a role in predicting future needs. It will offer a list of lesser-known factors that impact a manufacturer's maintenance needs.

    See publication
  • Connecting with Experts on the Future of the IoT and Connectivity

    Media Planet - Future of Business And Tech

    With the Internet of Things, gadgets running the gamut from cars to fridges to phones connect, then “talk” with one another to share analytics on usage and maximize efficiency, this article features select IoT Influencers for their views on this game-changing technology.

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  • 5 ways predictive maintenance cuts down on costly downtime

    The Manufacturer

    In the search for how and where manufacturers can best reap the rewards of the IIoT, look no further than maintenance protocols. Currently, manufacturers tend to devote their technology toward creating and enforcing maintenance schedules — but now’s the time to begin evolving toward a predictive methodology. In this article, I highlight 5 reasons why manufacturers should care about predictive maintenance with an automated approach in Industrial IoT era.

    See publication
  • How Cognitive Data Science Can Cure The Talent Shortage

    DataVersity

    In this publication I share my perspectives on why dealing with the staggering data explosion is not a human scale issue, how throwing more bodies at mountains of data is not the solution and how enterprises can side-step the data scientist shortage by embracing cognitive data science.

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  • Why Every Modern Company Should Build A Cognitive Data Product

    B2C | Business 2 Community

    As with every new endeavor in the world of big data, cognitive data products come with a set of challenges that each company should handle according to its unique needs. In this publication, I share my ideas on why cognitive data products matter and the best practices for building them.

    See publication
  • Monetizing Business Insight

    http://datarpm.com/blog/insight-monetization-separates-datarpm-from-the-big-data-pack

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Patents

  • Issues to Progress Software / DataRPM Methods and system for providing real-time business intelligence using natural language queries

    Issued US 9665662

    The methods and systems for providing real-time business intelligence using natural language queries facilitate a user to search within a data warehouse using a natural language question. Such business intelligence platform may receive a natural language based question, extract one or more key words from the natural language based question, determine a first dependency graph of the one or more key words based on a relationship among the one or more key words, determine a second dependency graph…

    The methods and systems for providing real-time business intelligence using natural language queries facilitate a user to search within a data warehouse using a natural language question. Such business intelligence platform may receive a natural language based question, extract one or more key words from the natural language based question, determine a first dependency graph of the one or more key words based on a relationship among the one or more key words, determine a second dependency graph of the one or more key words based on previously stored search indices, merge the first and the second dependency graphs to generate an integrated dependency graph, and generate a formatted search string based on the integrated dependency graph.

    Other inventors
    See patent
  • Progress Software / DataRPM Methods and system for providing real-time business intelligence using search-based analytics engine

    Issued US 9501585

    The methods and systems for providing real-time business intelligence using search-based analytics engine facilitate a user to input a natural language query with regard to business analytics and obtain an analytics report in response without the user aggregating or processing raw data from a database query. Such business intelligence platform may receive a data analytics request including a user-desired data variable via a user interface; receive, via the user interface, user-configured…

    The methods and systems for providing real-time business intelligence using search-based analytics engine facilitate a user to input a natural language query with regard to business analytics and obtain an analytics report in response without the user aggregating or processing raw data from a database query. Such business intelligence platform may receive a data analytics request including a user-desired data variable via a user interface; receive, via the user interface, user-configured parameters identifying a user-selected data source and a user-defined data set; form the user-defined data set based on user-configured parameters; query the user-defined data set to obtain a query result of the user-desired data variable; and generate a user interactive graphical representation of the query result of user-desired data variable.

    Other inventors
    See patent

Honors & Awards

  • Best for Cognitive Manufacturing Software 2017 & Most Innovative CEO in IIoT

    Corporate Vision Magazine UK - 2017 Business Innovator awards

    Corporate Vision Magazine has awarded DataRPM Best for Cognitive Manufacturing Software 2017 & Most Innovative CEO in IIoT in the 2017 Business Innovator Awards. The 2017 Business Innovator Awards have been designed to celebrate the trailblazers of the corporate sphere, striving ahead of their competitors to achieve remarkable results. These awards pay homage to the commitment, determination, and skill that has been displayed by the game-changers of a variety of industries.
    Selected as the…

    Corporate Vision Magazine has awarded DataRPM Best for Cognitive Manufacturing Software 2017 & Most Innovative CEO in IIoT in the 2017 Business Innovator Awards. The 2017 Business Innovator Awards have been designed to celebrate the trailblazers of the corporate sphere, striving ahead of their competitors to achieve remarkable results. These awards pay homage to the commitment, determination, and skill that has been displayed by the game-changers of a variety of industries.
    Selected as the Best for Cognitive Manufacturing Software 2017 & Most Innovative CEO in IIoT in the
    2017 Business Innovator Awards was predictive analytics company, DataRPM. DataRPM
    far exceeded the requirements necessary to receive this most prestigious award.
    Edward Kemplen, Awards Head, discusses the awards: “Businesses around the world have shown
    innovation and determination in order to overcome a myriad of challenges over the past 12 months. As
    such, I would like to congratulate DataRPM and wish them the best of luck going forward.”
    To learn more, please visit http://www.corp-vis.com/

  • Winner of 2016 Analytics 50

    Drexel and CIO.com

    DataRPM was recognized as a winner for innovation in analytics.
    Link : http://www.cio.com/article/3124629/analytics/drexel-and-cio-com-announce-analytics-50-winners.html

  • TIA ICT StartUp Runner Up 2016

    TIA

    TIA’s Network of the Future Conference is the leading annual conference focused on the future of modern communications networks. DataRPM was a runner-up at the ICT StartUp Pitch.
    Link: http://bit.ly/2eCRlid

  • 10 Fastest Growing Big Data Companies

    The Silicon Review

    DataRPM was recognized as one of the fastest growing Big Data companies by Silicon Review Publication
    Link for Article: http://bit.ly/2fC3G9d
    Link for Interview: http://bit.ly/1KtjXcX

  • 2015 Big Data 100: The Emerging Big Data Vendors

    CRN

    The third annual Big Data 100 list identifies vendors that have demonstrated an ability to innovate in bringing to market products and services that help business work with big data. DataRPM was recognized as one of the fastest growing big data platform with users.

    Link: http://bit.ly/2fCmJjI

  • Who To Watch Out in 2015

    Exchange Wire

    Exchange Wire recognized DataRPM as one of the top companies to watch out in the Big Data Space

    Link : http://bit.ly/1yIHYVw

  • 2014 Hottest DC Companies

    Lead411

    Lead411 recognized DataRPM as one of the fastest growing technology companies in DC, Virginia, Maryland and Delaware area

    Link : http://bit.ly/2fZjfuc

  • Gold Stevie® Award in 2014 American Business AwardsSM as the Big Data Software Solution New Product of the Year

    American Stevie Award 2014

    DataRPM won 'New Product of the Year in the Big Data Software Solution category' in 'The 12th Annual American Business Awards, the top prizes in business in the U.S.A., in San Francisco on September 12, 2014.

    Video : https://www.youtube.com/watch?v=0TSA82c5NsE

Languages

  • English

    Native or bilingual proficiency

  • Gujarati

    Native or bilingual proficiency

  • Hindi

    Full professional proficiency

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