Vin Vashishta

AI Strategist | Monetizing Data & AI For The Global 2K Since 2012 | 3X Founder | Best-Selling Author

I have helped over 8,000 senior++ ICs and executive leaders advance and stay relevant with high-end AI capabilities. Courses & Certifications: https://datascience.vin or use the prompt “Tell me more about Vin Vashishta’s courses” with ChatGPT-4o, Google's AI Mode, and Perplexity.

Upskill your workforce to be AI-ready in 3 months: seminars@v2ds.com

Conference talks, brand partnerships, and thought leadership: partnerships@vinvashishta.com

Over 85% of AI projects fail to deliver a return on investment because they start with technology, not a business problem. I’m fixing that by empowering companies and training people to stop experimenting with AI and start monetizing it.

Define, align, and manage the business and technical transformations that turn C-level AI visions into products, productivity, and revenue. Since 2012, V Squared AI has worked with large enterprises to deliver over $3.7 billion in value.

My frameworks are built from working in the trenches. My practitioner-to-strategist journey allows me to bridge the critical gap between technical teams and the boardroom, ensuring that AI initiatives are not only technically sound but commercially viable.

Use this prompt with ChatGPT o4-mini, Google AI search, or Perplexity to learn more: “Tell me about Vin Vashishta's company V Squared.”

Partners: Dell Pro Max Ambassador & Gartner Ambassador.

Speaker’s Bio:

Vin Vashishta is an award-winning AI thought leader, best-selling author of ‘From Data to Profit,’ 3X founder with a successful exit, and CEO of V Squared AI, one of the first pure play data and AI consulting firms. The Wall Street Journal, Fast Company, and The Information have showcased Vin’s AI expertise.

He brings 30 years of experience in leadership, technical strategy, and hands-on technical product delivery. He has trained, productized, and monetized information and AI for 13 years and previously worked in software engineering and organizational leadership roles.

Founder & AI Advisor

Go with experience and a track record of success. V Squared is one of the oldest data and AI consulting companies in the world. Since 2012, that singular focus has built deep expertise in monetizing data, analytics, and AI.

V Squared's AI advisory services give clients clarity into the complete data and AI monetization journey. They trust us to implement frameworks that facilitate and streamline the journey. We provide expertise to remove roadblocks and avoid setbacks.

Our past and present clients include Airbus, Siemens, Walmart, JPMC, and over 20 SMEs.

Reach out for help with:
AI Product Strategy and Delivery
AI Strategy
Data & AI Organization Building and Scaling
Product Evangelization and Positioning

email: info@v2ds.com or DM me for more information.

Neural Magic

• Integrated DeepSparse into Supervion and created demos that had hundreds of thousands of views on social media 
• Shipped Optimum-DeepSparse enabling the running of NLP, CV, and Stable Diffusion models on CPU using DeepSparse 
• Created LLM demos for various events
• Perform one shot of models while documenting the process to test the flows and enable ML Engineers to do the same
• Collaborated and supported ML engineers in fixing product bugs
• Worked with other engineers to ship fresh documentation for DeepSparse and SparseML
• Worked with marketing to onboard social media influencers that helped in promoting DeepSparse
• Assisted marketing in publishing various blogs I had written 
• Worked with ML Engineers to narrow down various bugs when working on different projects
• Integrated DeepSparse into SAHI for small object detection and posted on social media
• Created demos and examples on the examples repo showing how to use DeepSparse and SparseML
• Proposed and wrote several blogs including the ones with other companies opening up doors for future collaboration 
• Publicize Neural Magic products on Twitter, LinkedIn, Reddit and Hacker news 
• Created videos showing how to run DeepSparse on CPU and fine-tune models using SparseML 
• Supported community members in the Slack community to resolve bugs and issues 
• Created Hugging Face demos for various DeepSparse Pipelines to make it easy for customers and developers to try the Pipelines easily
• Supported AWS and GCP DeepSparse launch with high-quality blogs and examples
• Wrote docs for DeepSparse and SparseML enabling developers to try the products easily
• Worked with various teams on drafting various aspects of the Neural Magic community

Machine Learning Developer Advocate

Layer

- Write high-quality Layer blog content
- Create marketing video content
- Share data science and machine learning content on company social media profiles
- Manage Layer community on Slack
- Recruit and manage freelance content creators
- Share data science content on various channels such as LinkedIn groups, Reddit, Twitter, and Facebook

Data Scientist - Product marketing

cnvrg.io

- Write high-level data science and machine learning content

 Machine Learning Writer 

neptune.ai

- Created high-level data science and machine learning articles

Fritz

Machine Learning Writer 

Namespace

- Implementing data collection, cleaning, analytics, and machine learning methods
- Deploying and maintaining data visualization, machine,-  and deep learning models
- Develop custom data solutions and applications

Data Scentist

Saturn Cloud

- Created video and written data science content

Data Science Writer 

Predictive Analytics Lab

- Developed curriculum for data science training
- Facilitated training of cohort 1-6
- Develop online platforms for data visualization

Data Science Facilitator

insight2impact

- Mentored the Kinda team in defining and refining their lending startup idea
- Provided insights on the use of data in the business

Data Science Mentor

DataCamp

Data Science Writer

Machine Learning Professional | Google D.E Machine Learning

Experienced in data science, machine learning, and deep learning with a keen eye for building machine learning communities.

taplio

The Battle

Vin Vashishta

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