Analytical agency Forrester released another report, "The Forrester Wave: AI Consultancies, Q1 2021," and McKinsey Consulting Company was named the leader with the highest ranking. "The Forrester Wave: AI Consultancies, Q1 2021" report is an assessment of Artificial Intelligence (AI) consulting service providers based on the Forrester Wave Model. This report evaluates 13 Artificial Intelligence consulting service providers based on client feedback as well as qualitative and quantitative market data (forrester.com; mckinsey.com).

Forrester writes that Mckinsey is setting the bar high for business impact and return on investment, from developing solutions based on Artificial Intelligence technologies and helping businesses attract the right and qualified data scientists, to transforming companies. McKinsey received the maximum score of 22 points out of 26 criteria, ranking highest in all three categories: current offer, strategy, and market presence. According to McKinsey senior partners Alex Singla, who is also one of the heads of McKinsey Analytics, and Alex Sukharevsky, this recognition is a testament to the highly effective work carried out by the firm's teams. The partners continue by saying that one of the most important aspects of working with clients is partnering with them to provide significant business impact, through end-to-end AI conversions, and enabling clients to launch and scale their own AI solutions (mckinsey.com).

Forrester calls McKinsey's "secret weapon" the world's leading science and data scientists, a factory model for developing AI and model applications, and a comprehensive action plan for partnering and leading C-suite and boards in the era of AI to deliver end-to-end "impact and innovation" for every industry, from manufacturing and retail, to mining and financial services, and even sailing.

All of the technical tools used to accelerate AI development are from McKinsey's QuantumBlack labs. In particular, an award-winning open source tool like Kedro allows to standardize data pipelines to accelerate model building, a tool like Brix allows to collect and share reusable code, another tool developed in McKinsey labs to track and visualize data model performance is Performance AI (mckinsey.com).

In addition to the listed tools developed by McKinsey QuantumBlack laboratories, the company has also developed a collection of strategies, best practices and methods, which is based on rich experience in managing various projects of clients, which contains data on each stage of transformation, allowing clients to ensure the reliability and reproducibility of these processes, regardless of from the field of activity.