Your next success story is hiding in your data.

We’ll help you uncover it.

AI as a Service

Data Science Group is an AI center of excellence, offering research-backed solutions to complex commercial problems. We can lead AI/ML projects for you, help you set up your own CoE, define an AI strategy, and audit your AI models. With decades of accumulated experience, we’ll help you save costs, increase revenues, discover your next big breakthrough, and remain compliant with regulation.

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Build an In-house Center of Excellence

Build your own internal AI CoE with our tried-and-tested best practices and methodologies

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Long-term AI Strategy and Vision

Identify your data assets and establish a viable long-term AI strategy for your organization

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End-to-end Machine Learning projects

Hire our team to solve your most complex challenges from idea to full production-grade AI

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Compliance, ethics and regulation

Ensure compliance with AI regulations and maintain the highest AI ethics standards

A platform for AI Observability and Governance

Our patent-pending software provides a 360° solution for maintaining AI models and remaining compliant with upcoming AI regulations. This first of its kind solution provides monitoring, alerts, deep dive into the root cause of any shift in the model, recommendations, an audit trail and version control.

Our track record

30

Data scientists and engineers who are leaders in their field

60+

AI systems successfully deployed in a variety of industries for top-tier customers

10M+

Predictions delivered daily to our clients

Trusted by industry leaders

What our clients say

Bridging the gap between AI and business

Recent posts from our blog

Center of Excellence

Strategies for AI Success: AI Center of Excellence

In light of the current hype around artificial intelligence (AI) and data science, you may be wondering what they mean for your organization and why it’s essential to have a center of excellence. To improve the effectiveness of a data science-driven organization, many factors should be considered.

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Dynamic meta embeddings

If you’ve done any NLP-related reading in the last few months, there is no way you have not heard about BERT, GPT-2 or ELMo that have pushed the boundaries of NLP tasks even further.
Even though these techniques are awesome, there are many NLP problem-setups where you wouldn’t be able to use them.

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Why your data science project is likely to fail

Data science is the “new black” – with businesses across all industries looking for ways to leverage AI and machine learning to segment customers, predict events, automate processes – and improve the bottom line.
But is it effective?

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Working on a complex challenge?

Let’s talk about solutions.