Roboticist turned ML Engineer turned growth hacker. Always curious, years of experience in sales, growth hacking, Federated Learning and AI.

Vatsal Shah

Chief Growth Officer

Roboticist turned ML Engineer turned growth hacker. Always curious, years of experience in sales, growth hacking, Federated Learning and AI.

Unlock Big Data with Distributed Data Processing

How are top companies unlocking value from massive datasets? Distributed data processing enables scalable analytics by spreading workloads across clusters of servers. This lets organizations efficiently tap into huge volumes of data to drive innovation and results. Want the full scoop on how leading companies are leveraging distributed architectures and platforms like Hadoop and Spark? Check out this blog post!

Author:

Vatsal Shah

White paper: Data Strategies in the Wake of AI

Scalytics' industry grade Federated Data Platform provides real-time insights, automation & seamless data unification, reduces AI implementation costs by 80% and offers rapid access to unified data with robust governance. Scalytics Connect enables next-gen ETL with speed and flexibility. Scalytics Connect delivers next-gen ETL with speed, flexibility, and intelligent pipelines. Transform your data capabilities and drive faster data-driven decisions with Blossom Sky and Scalytics! Read the blog post to learn more:

Author:

Vatsal Shah

Reducing the Carbon Impact of AI and ML

Scalytics revolutionizes AI training through federated learning, striking a balance between eco-friendliness and efficiency. Dive into sustainable AI with Scalytics, minimizing carbon footprints and prioritizing data privacy.

Author:

Vatsal Shah

Membership inference attacks in generative AI

Federated learning, a distributed approach, defends AI privacy by ensuring decentralized data on user devices, making it accessible and responsible.

Author:

Vatsal Shah

Democratizing neuronal networks to predict energy consumption

We recently released LSTEnergy, a LSTM model which is able to predict future energy consumption based on historical data. We also released the dataset we used to train LSTEnergy.

Author:

Vatsal Shah