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
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 ...
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, ...
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?
Analyzing the Startup Economy with GraphLab Create
Analyzing the Startup Economy
with GraphLab Create
Cirrus Shakeri, Ph.D.
Co-Founder, Inventurist LLC
The Startup Economy
Startup Incubator acquires
How GraphLab Create helps?
Data Analysis Results
Investors active in this doma
Overall Data Analytics Pipeline
Many thanks to Dato’s Team:
Danny Bickson, Rajat Arya, Alice Zheng, Haijie Gu
and Srikrishna Sridhar
Cirrus Shakeri, Inventurist