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VERSION:2.0
PRODID:-//DevOpsChat//Events//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
UID:01a1989d-2cca-70e3-9f33-4bd93e16a2a0@www.devopschat.co
DTSTAMP:20261106T184347Z
DTSTART:20220518T173000Z
DTEND:20220518T183000Z
SUMMARY:Lessons From Women-Led Startups: Data Observability Builds Trust at
  Scale
DESCRIPTION:**Please register on the [Loft Website](https://aws-startup-lof
 ts.com/amer/loft/san-francisco/e/c3498/lessons-from-women-led-startups-dat
 a-observability-builds-trust-at-scale) in order to book your spot at this 
 event.**\n\nData observability—an organization’s ability to fully unde
 rstand the health of data in its system\, eliminating data downtime—has 
 moved beyond a buzzword to become a critical part of the cloud data stack.
  But what do data observation and data reliability actually mean in practi
 ce? What can founders learn from using their data to move quicker and more
  accurately?\n\nJoin Advancing Women in Tech (AWIT) live in San Francisco 
 or via live-stream worldwide for a founder-focused fireside chat\, led by 
 Barr Moses\, Co-Founder and CEO of Monte Carlo\, a leading data observatio
 n company that recently completed a $60M Series C Round and is acceleratin
 g the adaptation of trustworthy data at scale. In conversation with Nancy 
 Wang— General Manager of Data Protection and Governance at AWS\, and Fou
 nder and Board-Chair of AWIT—Barr will share her story as a pioneering w
 oman in tech and lessons learned in bringing in new customers\, creating d
 emand for an emerging field\, and what’s ahead for data observation and 
 building data trust at-scale.\n\nThis fireside is open to all startups at 
 any stage of growth that want to better understand why and how to implemen
 t data observability best practices for scale.\n\nhttps://www.devopschat.c
 o/meetings/lessons-from-women-led-startups-data-observability-builds-trust
 -at-scale
URL:https://www.devopschat.co/meetings/lessons-from-women-led-startups-data
 -observability-builds-trust-at-scale
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