BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Silicon Valley Engineering Council - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Silicon Valley Engineering Council
X-ORIGINAL-URL:https://svec.org
X-WR-CALDESC:Events for Silicon Valley Engineering Council
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:US/Pacific
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20240310T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20241103T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20250309T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20251102T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20260308T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20261101T090000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=US/Pacific:20250819T180000
DTEND;TZID=US/Pacific:20250819T203000
DTSTAMP:20260422T042216
CREATED:20250513T022222Z
LAST-MODIFIED:20250513T022222Z
UID:70102-1755626400-1755635400@svec.org
SUMMARY:The Sketches of Infinite Data and Algorithms for Real-Time Data Insights
DESCRIPTION:Free Registration (with a Zoom account; you can get one for free if you don't already have it. This requirement is to avoid Zoom bombing. Please sign in using the email address tied to your Zoom account — not necessarily the one you used to register for the event.):\nhttps://sjsu.zoom.us/webinar/register/WN_DIDfdbkgRFeEd3JbzURIUQ\nSynopsis:\nHow are machine learning algorithms able to answer questions from any nook and corner of the World Wide Web? How are trending hashtags from the near infinite microblog posts\, unique visitors and other distinct counts in the near infinite website traffic determined? How do blogging websites avoid recommending articles a user has previously read? In general\, how can we answer complex queries about enormous data streams without storing them entirely\, in real-time? The answer often lies in clever approximation algorithms and data "sketches" that capture essential properties using vastly reduced space. The relentless flow of data in modern systems indeed presents significant challenges. These data streams are often too large to store and too fast to process exhaustively with traditional methods. This talk introduces key sketching and approximation techniques that help generate real-time data insights by processing data streams.\n—————————————————————\nBy registering for this event\, you agree that IEEE and the organizers are not liable to you for any loss\, damage\, injury\, or any incidental\, indirect\, special\, consequential\, or economic loss or damage (including loss of opportunity\, exemplary or punitive damages). The event will be recorded and will be made available for public viewing.\nSpeaker(s): Dr. Vishnu S. Pendyala\nVirtual: https://events.vtools.ieee.org/m/482936
URL:https://svec.org/event/the-sketches-of-infinite-data-and-algorithms-for-real-time-data-insights/
LOCATION:Virtual: https://events.vtools.ieee.org/m/482936
END:VEVENT
END:VCALENDAR