Sachin Andhare

Sachin is an enterprise product marketing leader with global experience in advanced analytics, digital transformation, and the IoT. He serves as Head of Product Marketing at dotData, evangelizing predictive analytics applications. Sachin has a diverse background across a variety of industries spanning software, hardware and service products including several startups as well as Fortune 500 companies.

The Secret Sauce for Machine Learning

Inventory forecasting is a critical business requirement for any enterprise that relies on the movement of supplies to and from…

4 years ago

Which Data Science and ML platform is best for your business?

Automated feature engineering and AI-powered data preparation are the key differentiators for a code-free or code-first approach to data science…

4 years ago

Reflections from ODSC East 2021

This was the second year in a row that the premier data science conference went virtual due to the Covid-19…

4 years ago

AI for Small and Medium Businesses; not an oxymoron anymore

With dotData Cloud, a fully managed end-to-end AI solution, SMBs have AI-powered predictive analytics with zero coding at their disposal.…

4 years ago

Can AI Enable Smart Factory and Realize Industry 4.0 Vision?

Accelerate Digital Journey for Manufacturers with AI Automation Smart factory technologies that leverage the industrial internet of things (IIoT), edge…

4 years ago

AI to the Rescue – Navigating the Inflection Point in the Insurance Industry

The world of insurance is changing dramatically, and the use-cases for AI-powered insurance can be both powerful and daunting. Learn…

4 years ago

Is The Pace Of AI Development Slowing Down?

Got Data Science Platform, Visualization, and MLOps Tools, yet struggling with scaling AI? Feature Engineering holds the key to faster…

4 years ago

The 10 Commandments of AI & ML (P2)

Concerned about accelerating AI workflows, addressing multiple use cases, and scaling ML initiatives? Here are the rules to help you…

4 years ago

The 10 Commandments of AI & ML (P1)

Building an enterprise AI application is problematic. Scaling ML and getting user adoption is even more challenging. Here are the…

4 years ago

Does The Popularity of AutoML Mean the End of Data Scientist Era?

McKinsey Analytics wrote an article on the evolution of automated machine learning (AutoML) titled “Rethinking AI talent strategy as AutoML…

4 years ago

6 Common Pitfalls You Must Avoid To Succeed with Digital Transformation

A lot of money is flowing into Digital Transformation (DX) initiatives. Worldwide spending on the technologies and services that enable…

4 years ago

Accelerating AI Transformation in Manufacturing

Many experts agree that AI will have the most significant impact on manufacturing. According to McKinsey Research, AI can create…

4 years ago