Latest Innovations in Big Data

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Big data is a term for data sets (https://en.wikipedia.org/wiki/Data_set) that are so large or complex that traditional data processing (https://en.wikipedia.org/wiki/Data_processing) application software (https://en.wikipedia.org/wiki/Application_software)is inadequate to deal with them. Big data challenges include capturing data (https://en.wikipedia.org/wiki/Automatic_identification_and_data_capture), data storage (https://en.wikipedia.org/wiki/Computer_data_storage), data analysis (https://en.wikipedia.org/wiki/Data_analysis), search, sharing (https://en.wikipedia.org/wiki/Data_sharing), transfer (https://en.wikipedia.org/wiki/Data_transmission), visualization (https://en.wikipedia.org/wiki/Data_visualization), querying (https://en.wikipedia.org/wiki/Query_language), updating and information privacy (https://en.wikipedia.org/wiki/Information_privacy).

Lately, the term "big data" tends to refer to the use of predictive analytics (https://en.wikipedia.org/wiki/Predictive_analytics), user behavior analytics (https://en.wikipedia.org/wiki/User_behavior_analytics), or certain other advanced data analytics methods that extract value from data, and seldom to a particular size of data set. "There is little doubt that the quantities of data now available are indeed large, but that’s not the most relevant characteristic of this new data ecosystem."[2] (https://en.wikipedia.org/wiki/Big_data#cite_note-2) Analysis of data sets can find new correlations to "spot business trends, prevent diseases, combat crime and so on."[3] (https://en.wikipedia.org/wiki/Big_data#cite_note-Economist-3) Scientists, business executives, practitioners of medicine, advertising and governments (https://en.wikipedia.org/wiki/Government_database) alike regularly meet difficulties with large data-sets in areas including Internet search (https://en.wikipedia.org/wiki/Web_search_engine), fintech (https://en.wikipedia.org/wiki/Fintech), urban informatics (https://en.wikipedia.org/wiki/Urban_informatics), and business informatics (https://en.wikipedia.org/wiki/Business_informatics). Scientists encounter limitations in e-Science (https://en.wikipedia.org/wiki/E-Science) work, including meteorology (https://en.wikipedia.org/wiki/Meteorology), genomics (https://en.wikipedia.org/wiki/Genomics),[4] (https://en.wikipedia.org/wiki/Big_data#cite_note-4) connectomics (https://en.wikipedia.org/wiki/Connectomics), complex physics simulations, biology and environmental research.[5] (https://en.wikipedia.org/wiki/Big_data#cite_note-5)

--Wikipedia

https://en.wikipedia.org/wiki/Big_data

Our distinguished panel will discuss the latest developments in big data.

Please come with questions and comments.

If you are a big data startup and would like space on a demo table for the networking portion of the event, please send an email message to:

idea.to.ipo@gmail.com

Put this in the subject header:

W 10/18 Big Data Startup Demo Table

Agenda

6:00 pm to 7:00 pm Check In, Food, Networking Reception

7:00 pm to 8:30 pm Panel Discussion, Q & A

8:30 pm to 9:00 pm More Networking

About the Panelists:

(More panelists TBA)

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Jose Luis Agúndez leads the Big Data Silicon Valley technology innovation team at AT&T, exploring innovative concepts with data analytics, trusted computing and machine intelligence. Prior to moving to the San Francisco Bay Area, he led the Big Data Innovation program for data monetization at Telefonica's digital services in Europe.

Jose Luis is a computer scientist who went from C developer at startups to senior architect in complex real-time products, building a solid technology background. For the last 14 years, he has focused on discovering differential technology and ways to take it to market, including product and business development, partnerships and Venture Capital. He has five granted patents, and has contributed to Standardization (3G) and Licensing (4G patent pool).

Jose Luis is a venture capital investor, speaker at public events, panelist and blogger, with a passion for personal data privacy and the applications of Big Data to society and people. He co-founded the consortium DataTransparencyLab.org (http://datatransparencylab.org/) and authored a series of articles on the "Data-sharing economy" ( http://en.blogthinkbig.com/?s=ciberjos )

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Ivy Nguyen is an associate at Zetta Ventures, a venture capital firm based in San Francisco. Ivy brings over four years of experience as an investor and startup advisor in the technology space.

Prior to joining Zetta Ventures, Ivy was Senior Associate at NewGen Capital, a venture capital firm providing early stage deep tech startups with growth opportunities in China and the greater APAC region. During her tenure at NewGen she sourced and led investments in several companies including Constructor, NuCypher, Assembly, and Agridata.

Before NewGen, Ivy managed the startup accelerator program at Imagine H2O, an organization supporting global water innovation. At IH2O Ivy supported over 40 water tech startups from over 14 countries including Israel, Australia, and Singapore by connecting them to the program's growing network of investors, mentors, and pilot partners at major Fortune 1000 companies.

Ivy earned her B.S. in Chemical Engineering from Stanford University, where she served as News Managing Editor of the Stanford Daily.

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Brandon Reeves is an associate on the investment team at Lux Capital. His goal is to identify companies that are turning science fiction into science fact — especially in areas of mobility, space, robotics, and the human brain.

Prior to joining Lux, Brandon was on the investment team at Capricorn Investment Group, based in Palo Alto, where he focused on autonomy, mobility, semiconductors and energy. While there, he led the firm’s investments in Navitas, a power electronics silicon company.

Previously, Brandon worked for Texas Instruments in Sunnyvale, California, where he was a Field Applications Engineer that supported Tesla Motors. In that role he worked with Tesla on its autopilot designs, next generation infotainment, and the sensor system for the Model X falcon wing doors.

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About the Moderator:

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Bill Ahmann is a partner in the Intellectual Property Practice Group in Sheppard Mullin’s Palo Alto office.

Bill focuses on intellectual property law in the fields of wireless networks, telecommunications, computers, software, semiconductors, electronics, security, business methods, and the Internet.

Other areas of his practice include patent prosecution, licensing, litigation, copyright, trademark procurement, and designs protection. Bill has worked with a number of clients, rendering patent opinions, including invalidity and noninfringement opinions, focusing on patent prosecution and patent analysis, and establishing internal patent procurement programs and competitive analysis.

Bill has drafted, supervised, and/or prosecuted approximately 600 patent applications, and has filed and/or prosecuted dozens of reexaminations. He has been involved in multiple litigations matters and monetization efforts. He also has served as primary counsel in many licensing negotiations.

Bill holds a J.D. from the University of California, Hastings College of Law and a B.S. in Computer Science from the University of Missouri.

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