PlanetScale is a NewSQL DbaaS based on the open source project @vitessio. The startup's headquarters are in Mountain View, California, with original backing from VC firm SignalFire (signalfire.com).
Domain: planetscale.com
See: Andreessen pours $22M into PlanetScale’s database-as-a-service suitable for any enterprise that wants their data both secure and consistently accessible. Its ability to re-shard databases while they’re operating, can solve businesses’ issues with GDPR, which demands some data be stored in the same locality as the user to whom it belongs.
Showing posts with label user. Show all posts
Showing posts with label user. Show all posts
2018-05-24
GDPR: What Is It and How Might It Affect You? (video and podcast)
GDPR: What Is It and How Might It Affect You?
Wall Street Journal (wsj.com) video above published May 21, 2018: The European Union's General Data Protection Regulation on data privacy will come into force on May 25, 2018. This video explains how it could affect you, even if you don't live in the EU.
a16z Podcast: What to Know about GDPR with Lisa Hawke and Steven Sinofsky
"Given concern around data breaches, the EU Parliament finally passed GDPR (General Data Protection Regulation) after four years of preparation and debate; it goes into enforcement on May 25, 2018. Though it originated in Europe, GDPR is a form of long-arm jurisdiction that affects many U.S. companies -- including most software startups, because data collection and user privacy touch so much of what they do.
"With EU regulators focusing most on transparency, GDPR affects everything from user interface design to engineering to legal contracts and more. That's why it's really about "privacy by design", argues former environmental scientist and lawyer Lisa Hawke, who spent most of her career in regulatory compliance in the oil industry and is now Vice President of Security and Compliance at a16z portfolio company Everlaw.com (she also serves as Vice Chair for Women in Security and Privacy). And it's also why, observes a16z board partner Steven Sinofsky, everyone -- from founders to product managers to engineers and others -- should think about privacy and data regulations (like GDPR, HIPAA, etc.) as a culture... not just as "compliance".
"The two break down the basics all about GDPR in this episode of the a16z Podcast -- the why, the what, the how, the who -- including the easy things startups can immediately do, and on their own. In fact, GDPR may give startups an edge over bigger companies and open up opportunities, argue Hawke and Sinofsky; even with fewer resources, startups have more organizational flexibility, if they're willing to put in the work."--source Andreessen Horowitz
Links mentioned in this podcast and other resources:
Wall Street Journal (wsj.com) video above published May 21, 2018: The European Union's General Data Protection Regulation on data privacy will come into force on May 25, 2018. This video explains how it could affect you, even if you don't live in the EU.
a16z Podcast: What to Know about GDPR with Lisa Hawke and Steven Sinofsky
"Given concern around data breaches, the EU Parliament finally passed GDPR (General Data Protection Regulation) after four years of preparation and debate; it goes into enforcement on May 25, 2018. Though it originated in Europe, GDPR is a form of long-arm jurisdiction that affects many U.S. companies -- including most software startups, because data collection and user privacy touch so much of what they do.
"With EU regulators focusing most on transparency, GDPR affects everything from user interface design to engineering to legal contracts and more. That's why it's really about "privacy by design", argues former environmental scientist and lawyer Lisa Hawke, who spent most of her career in regulatory compliance in the oil industry and is now Vice President of Security and Compliance at a16z portfolio company Everlaw.com (she also serves as Vice Chair for Women in Security and Privacy). And it's also why, observes a16z board partner Steven Sinofsky, everyone -- from founders to product managers to engineers and others -- should think about privacy and data regulations (like GDPR, HIPAA, etc.) as a culture... not just as "compliance".
"The two break down the basics all about GDPR in this episode of the a16z Podcast -- the why, the what, the how, the who -- including the easy things startups can immediately do, and on their own. In fact, GDPR may give startups an edge over bigger companies and open up opportunities, argue Hawke and Sinofsky; even with fewer resources, startups have more organizational flexibility, if they're willing to put in the work."--source Andreessen Horowitz
Links mentioned in this podcast and other resources:
- a16z.com GDPR resources
- GDPR compliance doc — Everlaw open-sourced this Google Spreadsheet tool, which combines documentation for GDPR Article 30: Records of processing activities; Article 32: Security of processing; and Article 35: Data protection impact assessment into one workbook (including a place to document Article 15: Right of access by the data subject)
- “Privacy by Design” foundational principles — by Ann Cavoukian, Ph.D., Information & Privacy Commissioner, Ontario, Canada
- Privacy and Security by Design: An Enterprise Architecture Approach — by Ann Cavoukian and Mark Dixon (Oracle)
- General Data Protection Regulation — a Stripe guide by Sára Gabriella Hoffman
- Be Prepared for the GDPR — Twilio whitepaper
Open-Sourcing our GDPR Compliance Preparation For Articles 30, 32, and 35 https://t.co/Om25wyhd4w— Hacker News (@newsycombinator) May 19, 2018
Tech, finance and energy cos lead the pack preparing for GDPR-compliance pre-May 25 via @mcdermottlaw @legaltech_news https://t.co/CBH8nKzWR2 pic.twitter.com/EPbSSt9rAN— Everlaw (@everlaw) May 4, 2018
2017-12-20
Amazon $AMZN & Sqrrl, Machine Learning Analytics Cybersecurity Startup
Introduction to Sqrrl – "Who We Are in a Nutshell"
Sqrrl video above published Jan 5, 2017: "Want to find out more about Sqrrl? Watch this 2-minute overview video and in just seconds you'll hear our company mission and how our Threat Hunting Platform can help your organization discover hidden threats that already exist inside your network.
"Sqrrl’s Threat Hunting Platform combines intuitive hunt capabilities with powerful machine learning analytics that detect subtle and linked anomalies associated with kill chain tactics. By transforming raw data into contextual knowledge and actionable insights, Sqrrl displays every asset or entity data (including users, hosts, IPs, domains, etc.) as connected nodes on a graph. Sqrrl simplifies hunting for users with any skill level, as hunters can seamlessly pivot through network, identity, endpoint, and security data based on pre¬defined connections between the various entities."
Amazon.com, Inc. (NASDAQ: AMZN) is in advanced talks to acquire Sqrrl, a startup that analyzes big data to detect cybersecurity threats, according to a report in Axios.com.
Sqrrl Data, Inc. (domain: sqrrl.com): a U.S.-based company founded in 2012 that markets software for big data analytics and cyber security; the company has roots in the United States intelligence community and National Security Agency according to Wikipedia.org.
Sqrrl video above published Jan 5, 2017: "Want to find out more about Sqrrl? Watch this 2-minute overview video and in just seconds you'll hear our company mission and how our Threat Hunting Platform can help your organization discover hidden threats that already exist inside your network.
"Sqrrl’s Threat Hunting Platform combines intuitive hunt capabilities with powerful machine learning analytics that detect subtle and linked anomalies associated with kill chain tactics. By transforming raw data into contextual knowledge and actionable insights, Sqrrl displays every asset or entity data (including users, hosts, IPs, domains, etc.) as connected nodes on a graph. Sqrrl simplifies hunting for users with any skill level, as hunters can seamlessly pivot through network, identity, endpoint, and security data based on pre¬defined connections between the various entities."
Amazon.com, Inc. (NASDAQ: AMZN) is in advanced talks to acquire Sqrrl, a startup that analyzes big data to detect cybersecurity threats, according to a report in Axios.com.
Sqrrl Data, Inc. (domain: sqrrl.com): a U.S.-based company founded in 2012 that markets software for big data analytics and cyber security; the company has roots in the United States intelligence community and National Security Agency according to Wikipedia.org.
- Headquarters: Cambridge, MA
- Founded: 2012
- Type of business: Private -- startup Sqrrl has raised almost $30 million from venture capital firms including Accomplice, Matrix Partners, Rally Ventures and Spring Lake Equity Partners.
2017-08-11
Business Valuation: Aswath Damodaran On The Value of a User (video)
Aswath Damodaran - The Value of a User
Video above published Jul 26, 2017: While traditional business valuations have treated cash flow as the ultimate metric for gauging success, many of today's companies focus more on the size of their user community than their bottom line. Responding to evolving perspectives, newer valuation models attempt to assign value to individual consumers, but these models involve a series of assumptions and generalizations that do not always withstand scrutiny. Using Uber as a case study, this session compares and contrasts user-based valuation models with more traditional discounted cash flow (DCF) models, identifying where they converge and diverge.
Aswath Damodaran holds the Kerschner Family Chair in Finance Education and is a Professor of Finance at New York University Stern School of Business. He received a B.A. in Accounting from Madras University, an M.S. in Management from the Indian Institute of Management, and an M.B.A. and Ph.D. in Finance from the University of California. He has been voted “Professor of the Year” by the graduating M.B.A. class five times during his career at NYU. In addition, Professor Damodaran is the author of several highly-regarded and widely-used academic texts on Valuation, Corporate Finance, and Investment Management. Professor Damodaran currently teaches Corporate Finance and Equity Instruments & Markets. His research interests include Information and Prices, Real Estate, and Valuation.
The L2 Digital Leadership Academy, led by faculty from NYU Stern, Kellogg School of Management, Harvard Business School, and L2 researchers, is a two-day conference rooted in business fundamentals coupled with tactical sessions on digital topics.
Tweets by AswathDamodaran
Video above published Jul 26, 2017: While traditional business valuations have treated cash flow as the ultimate metric for gauging success, many of today's companies focus more on the size of their user community than their bottom line. Responding to evolving perspectives, newer valuation models attempt to assign value to individual consumers, but these models involve a series of assumptions and generalizations that do not always withstand scrutiny. Using Uber as a case study, this session compares and contrasts user-based valuation models with more traditional discounted cash flow (DCF) models, identifying where they converge and diverge.
Aswath Damodaran holds the Kerschner Family Chair in Finance Education and is a Professor of Finance at New York University Stern School of Business. He received a B.A. in Accounting from Madras University, an M.S. in Management from the Indian Institute of Management, and an M.B.A. and Ph.D. in Finance from the University of California. He has been voted “Professor of the Year” by the graduating M.B.A. class five times during his career at NYU. In addition, Professor Damodaran is the author of several highly-regarded and widely-used academic texts on Valuation, Corporate Finance, and Investment Management. Professor Damodaran currently teaches Corporate Finance and Equity Instruments & Markets. His research interests include Information and Prices, Real Estate, and Valuation.
The L2 Digital Leadership Academy, led by faculty from NYU Stern, Kellogg School of Management, Harvard Business School, and L2 researchers, is a two-day conference rooted in business fundamentals coupled with tactical sessions on digital topics.
Tweets by AswathDamodaran
2016-11-04
Digital Winners: Amazon, Facebook; Losers: Snapchat, Apple Music (video)
Scott Galloway: Snapchat is a Loser:
Video above published Nov 3, 2016, by L2inc.com. NYU Stern marketing professor Scott Galloway presents his take on this week's biggest winners and losers in digital:
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DISCLAIMER
Video above published Nov 3, 2016, by L2inc.com. NYU Stern marketing professor Scott Galloway presents his take on this week's biggest winners and losers in digital:
- What do winning companies have in common? They don't just have a lot of users - they also glean data about those users' behavior and use it to improve the consumer experience.
- The biggest winner here: Amazon.com, which could soon be the first trillion-dollar company. The site's algorithm constantly looks at what you're shopping for and displays the most relevant products, in addition to ensuring that prices are the most competitive on the Internet. Compare to lame Walmart.com.
- A loser: Snapchat.com. While the platform is innovative, they're not using their algorithm to personalize the experience--watch out for Facebook.com's Instagram.com.
- Another surprising loser: Apple.com. The company's music algorithm has changed little since the early days of iTunes, opening the door for Pandora.com and Spotify.com.
YouTube.com auto-generated transcript:
0:00 what do winning companies have in common
0:04 we think a lot about that here at l2
0:06 eight of the 13 companies that have
0:08 outperformed the S&P 500 years straight
0:11 have a few things in common specifically
0:13 they don't just have a lot of users they
0:15 also clean data about those users
0:17 behavior and use the data to improve the
0:19 consumer experience seamlessly the
0:22 combined receptors their number of users
0:24 with intelligence to implicitly inform
0:27 and improve the product google pioneered
0:29 this concept of the original gangster
0:32 here every time you conduct a search you
0:34 make the algorithm point 000000 three
0:40 percent better
0:42 so who's the biggest winner here who
0:43 brings together receptors and
0:45 intelligence like no one else
0:47 amazon the platform's algorithm constant
0:49 looks of what you're shopping for and
0:51 then displays the most relevant products
0:53 for you these three users see vastly
0:56 different home pages due to differences
0:58 in their shopping behavior and contrast
1:00 here's the homepage for the same users
1:03 on walmart what you see the exact same
1:06 thing it's similar in a bad way amazon's
1:08 algorithm also caused millions of sites
1:10 to ensure the details prices are the
1:12 most competitive best buy and walmart
1:14 change prices 50,000 times per month in
1:18 comparison
1:19 amazon changes prices across categories
1:21 more than two-and-a-half million times
1:23 each day prediction amazon will be the
1:26 first trillion dollar company and will
1:28 reach this milestone in 2018 based on
1:32 our algorithm we believe snapchat is
1:34 going to decline in value in 2017 their
1:37 innovative no doubt but they're not
1:39 using their algorithm to push content or
1:42 personalize the experience a lot of
1:44 receptors but not a lot of intelligence
1:46 here meanwhile rival Instagram recently
1:48 changed its news feed from chronological
1:50 to algorithmic Instagram also reaches
1:53 more people Nikes most viewed snap got
1:55 around 70,000 views while the company's
1:58 Instagram story racked up a whopping
2:00 800,000 views and its first 24 hours
2:04 unless snapchat can come up with a
2:05 smarter way to leverage user data
2:08 facebook is going to steal it standard
2:11 the world is going to fail
2:13 facebook and google so who is losing
2:16 when you look at companies through this
2:17 lens of receptors times intelligence
2:20 apple itunes 2001 large brought Apple a
2:24 huge surgeon value but the platform's
2:26 algorithm is not involved opening the
2:28 door for Pandora and Spotify Spotify is
2:31 implicit intelligence is more robust and
2:33 introducing listeners to new music as a
2:35 result Spotify has 40 million
2:37 subscribers more than double the
2:39 subscribers of apples music offering
2:42 they're also better targeting ads here's
2:44 what Pandora no joke serves me and over
2:47 40 have you tried to GNC award-winning
2:50 innovation designed to invigorate your
2:51 body and increase your libido
2:53 we'll see you next week
feedback & comments via twitter @DomainMondo0:00 what do winning companies have in common
0:04 we think a lot about that here at l2
0:06 eight of the 13 companies that have
0:08 outperformed the S&P 500 years straight
0:11 have a few things in common specifically
0:13 they don't just have a lot of users they
0:15 also clean data about those users
0:17 behavior and use the data to improve the
0:19 consumer experience seamlessly the
0:22 combined receptors their number of users
0:24 with intelligence to implicitly inform
0:27 and improve the product google pioneered
0:29 this concept of the original gangster
0:32 here every time you conduct a search you
0:34 make the algorithm point 000000 three
0:40 percent better
0:42 so who's the biggest winner here who
0:43 brings together receptors and
0:45 intelligence like no one else
0:47 amazon the platform's algorithm constant
0:49 looks of what you're shopping for and
0:51 then displays the most relevant products
0:53 for you these three users see vastly
0:56 different home pages due to differences
0:58 in their shopping behavior and contrast
1:00 here's the homepage for the same users
1:03 on walmart what you see the exact same
1:06 thing it's similar in a bad way amazon's
1:08 algorithm also caused millions of sites
1:10 to ensure the details prices are the
1:12 most competitive best buy and walmart
1:14 change prices 50,000 times per month in
1:18 comparison
1:19 amazon changes prices across categories
1:21 more than two-and-a-half million times
1:23 each day prediction amazon will be the
1:26 first trillion dollar company and will
1:28 reach this milestone in 2018 based on
1:32 our algorithm we believe snapchat is
1:34 going to decline in value in 2017 their
1:37 innovative no doubt but they're not
1:39 using their algorithm to push content or
1:42 personalize the experience a lot of
1:44 receptors but not a lot of intelligence
1:46 here meanwhile rival Instagram recently
1:48 changed its news feed from chronological
1:50 to algorithmic Instagram also reaches
1:53 more people Nikes most viewed snap got
1:55 around 70,000 views while the company's
1:58 Instagram story racked up a whopping
2:00 800,000 views and its first 24 hours
2:04 unless snapchat can come up with a
2:05 smarter way to leverage user data
2:08 facebook is going to steal it standard
2:11 the world is going to fail
2:13 facebook and google so who is losing
2:16 when you look at companies through this
2:17 lens of receptors times intelligence
2:20 apple itunes 2001 large brought Apple a
2:24 huge surgeon value but the platform's
2:26 algorithm is not involved opening the
2:28 door for Pandora and Spotify Spotify is
2:31 implicit intelligence is more robust and
2:33 introducing listeners to new music as a
2:35 result Spotify has 40 million
2:37 subscribers more than double the
2:39 subscribers of apples music offering
2:42 they're also better targeting ads here's
2:44 what Pandora no joke serves me and over
2:47 40 have you tried to GNC award-winning
2:50 innovation designed to invigorate your
2:51 body and increase your libido
2:53 we'll see you next week
Follow @DomainMondo
DISCLAIMER
2016-03-23
Google Cloud Platform Global User Conference, March 23-24
Google Cloud Platform Global User Conference, March 23-24 | Pier 48, San Francisco:
Keynotes: (All times PDT San Francisco - Time Coverter)
Tweets about #GCPNEXT16 OR #GCPNEXT
Tweets about #GoogleCloudPlatform OR @googlecloud
See also:
Follow @DomainMondo
DISCLAIMER
Keynotes: (All times PDT San Francisco - Time Coverter)
- March 23 9:00am - 10:45am Day 1 Keynote: WHAT’S NEXT FOR CLOUD
- March 24 9:00am - 10:30am Day 2 Keynote: WHAT’S NEXT FOR SECURITY, DATA CENTERS AND CONTAINERS
- Conference Website
- NEXT LIVE 2016: Google Cloud Platform Live Stream
- Conference Schedule
- Conference Speakers
- cloud.google.com
- Google Cloud Platform Blog
Tweets about #GCPNEXT16 OR #GCPNEXT
Tweets about #GoogleCloudPlatform OR @googlecloud
See also:
- The World Is Defined By Mobile Devices, Fast Networks, Clouds (video) | DomainMondo.com
- Google Cloud Platform LIVE, Next Gen Cloud Computing, Cloud Resources | DomainMondo.com
- Google's Greene Hastens Cloud Expansion in Race With Amazon - Bloomberg Business
- Google Cloud Platform - YouTube
Follow @DomainMondo
DISCLAIMER
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