iSPIRT is announcing the first AI Teardown roundtables. The focus of this first teardown RT will be an honest review of the data readiness for your machine learning strategy.
The AI Teardown Agenda
Of the many problems startups on the AI/ML journey face one of the most critical is with their data readiness.
Most startups on the AI journey struggle to get sufficient data to build effective ML models. Further, data privacy has increased the complexity of sharing data, which now resides in distant silos. While internal proprietary data is a rich source of patterns, often times it is incomplete.
This teardown roundtable will primarily focus on helping founders resolve many of the queries like:
- Do I have the right data?
- How can I source/collect more data to get completeness?
- How to clean & prepare data for training?
- How much data do I really need?
- Are we using the right model/algorithm?
- Do I have a virtuous cycle of data in my product?
If you are a B2B SaaS startup in the early phases of building an AI-enabled product value then this playbookRT will be a great opportunity to get critical feedback and resolve many queries from our Mavens and fellow peers.
Click to Register for the AI Teardown PlaybooksRT. (limited invites)
Our Mavens
Ramesh Loganathan IIIT Hyderabad
Shrikanth Jagannathan PipeCandy
Puneet Jindal Eduwaive Foundation
This is a product startup founder/CXO (+1) invite-only events. Venue details will be sent along with the confirmation of your registration.
RoundTables are facilitated by an iSPIRT maven who is an accomplished practitioner of that Round-Table theme. All iSPIRT playbooks are Pro-bono, Closed room, Founder (+1), invite-only sessions. The only thing we require is a strong commitment to attend the sessions completely and to come prepared, to be open to learning & unlearning, and to share your context within a trusted environment. All key learnings are public goods & the sessions are governed by the Chatham House Rule.
iSPIRT is announcing the first AI Teardown roundtables. The focus of this first teardown RT will be an honest review of the data readiness for your machine learning strategy.
The AI Teardown Agenda
Of the many problems startups on the AI/ML journey face one of the most critical is with their data readiness.
Most startups on the AI journey struggle to get sufficient data to build effective ML models. Further, data privacy has increased the complexity of sharing data, which now resides in distant silos. While internal proprietary data is a rich source of patterns, often times it is incomplete.
This teardown roundtable will primarily focus on helping founders resolve many of the queries like:
- Do I have the right data?
- How can I source/collect more data to get completeness?
- How to clean & prepare data for training?
- How much data do I really need?
- Are we using the right model/algorithm?
- Do I have a virtuous cycle of data in my product?
If you are a B2B SaaS startup in the early phases of building an AI-enabled product value then this playbookRT will be a great opportunity to get critical feedback and resolve many queries from our Mavens and fellow peers.
Click to Register for the AI Teardown PlaybooksRT. (limited invites)
If you are interested in the 16-Mar Hyderabad roundtable click here.
Our Mavens
Adarsh Natarajan Aindra
Shrikanth Jagannathan PipeCandy
Puneet Jindal Eduwaive Foundation
This is a product startup founder/CXO (+1) invite-only events. Venue details will be sent along with the confirmation of your registration.
RoundTables are facilitated by an iSPIRT maven who is an accomplished practitioner of that Round-Table theme. All iSPIRT playbooks are Pro-bono, Closed room, Founder (+1), invite-only sessions. The only thing we require is a strong commitment to attend the sessions completely and to come prepared, to be open to learning & unlearning, and to share your context within a trusted environment. All key learnings are public goods & the sessions are governed by the Chatham House Rule.
