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Analyzing the Startup Economy
with GraphLab Create
Cirrus Shakeri, Ph.D.
Co-Founder, Inventurist LLC
The Startup Economy
(Enterprise Domain)
2
Customer
Large Enterprise
Investor
Entrepreneur Startup
funds
runs
provides resources
sells to
partners with
sells to
Startup Incubator acquires
sponsors
How GraphLab Create helps?
Knowledge Graph
Data Analysis Results
Twitter
CrunchBase
Company web
site Metatag
Nearest neighbor
Shortest path
Spreading activation
Competitive landscape
Sub-graph distance
Investors active in this doma
...
Potential customers
...
Large corporations
...
3
Startup: Application of AI in Recruiting
4
What we know about Predikt
5
Big Data
Overall Data Analytics Pipeline
Intelligence Action
6
Thank You
7
Many thanks to Dato’s Team:
Danny Bickson, Rajat Arya, Alice Zheng, Haijie Gu
and Srikrishna Sridhar
Contact
Cirrus Shakeri, Inventurist
‱ cirrus.shakeri@inventurist.com
‱ twitter.com/cirrus_shakeri
‱ www.linkedin.com/in/cshakeri/

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Analyzing the Startup Economy with GraphLab Create

  • 1. Analyzing the Startup Economy with GraphLab Create Cirrus Shakeri, Ph.D. Co-Founder, Inventurist LLC
  • 2. The Startup Economy (Enterprise Domain) 2 Customer Large Enterprise Investor Entrepreneur Startup funds runs provides resources sells to partners with sells to Startup Incubator acquires sponsors
  • 3. How GraphLab Create helps? Knowledge Graph Data Analysis Results Twitter CrunchBase Company web site Metatag Nearest neighbor Shortest path Spreading activation Competitive landscape Sub-graph distance Investors active in this doma ... Potential customers ... Large corporations ... 3
  • 4. Startup: Application of AI in Recruiting 4
  • 5. What we know about Predikt 5
  • 6. Big Data Overall Data Analytics Pipeline Intelligence Action 6
  • 7. Thank You 7 Many thanks to Dato’s Team: Danny Bickson, Rajat Arya, Alice Zheng, Haijie Gu and Srikrishna Sridhar Contact Cirrus Shakeri, Inventurist ‱ cirrus.shakeri@inventurist.com ‱ twitter.com/cirrus_shakeri ‱ www.linkedin.com/in/cshakeri/

Hinweis der Redaktion

  1. My background: AI, Data Analytics, Enterprise Software, Startups The Inventurist story: Combining the efficiency of the startups model in innovating and efficiency of large companies in scaling successful innovations Mention that I have been advising startups
  2. This is the knowledge graph of the Startup Economy Entrepreneur ... runs ... Startup Product-market fit Fund raising Right technology Building the team Differentiating / competition ... Investor ... funds ... Startup Sourcing the right startups Valuation (especially for early-stage) The team’s competency ... Startup ... sells to ... Customer Customer acquisition Product pricing ...
  3. GraphLab is great for Rapid experimentation Experiment on a subset of data on my laptop and when the algorithms work then deploy the solution GraphLab has great support, documentation, community, easy to use, ...
  4. Which technologies should we build in-house and which ones should we license from technology vendors: resume parsing, NLP, machine learning, data management, ... What should be the right price for our SaaS offering? Who is the right investor to approach? Which large enterprise software company could we partner with?