A leader at McKinsey & Company’s QuantumBlack Horizon, a suite of AI integration tools, shares how teams can comfortably scale their AI initiatives while unlocking true business value.
As economic pressures continue to drive innovation across industries, businesses are eager to harness the power of AI. But many leaders are struggling with how to effectively scale their AI initiatives from prototype to production.
Yetunde Dada, senior director of product management at QuantumBlack, shares her insights on how McKinsey & Company’s QuantumBlack Horizon and its open-source tool, Kedro, are helping organizations overcome these challenges.
“The focus shouldn’t be, ‘How do we organize our code?’ or ‘How do we restructure our pipelines?’—but really, ‘How do we better solve the business problem at hand?’” says Dada. “We think of QuantumBlack Horizon as a Swiss Army knife that you can pull out different tools to use as you face different issues.”
Dada underscores the importance of a combined approach to AI, highlighting Kedro as a collaborative space where data scientists, engineers, and machine learning engineers can build AI initiatives more effectively and reliably. These tools are actively driving business value for McKinsey’s clients.
In the video above, learn more about the key AI challenges the QuantumBlack Horizon addresses, from data accuracy to scalable models, and how Kedro is changing the way data scientists and engineers collaborate.
Yetunde Dada
Senior Director of Product Managment
QuantumBlack, AI by McKinsey
A blueprint to collaborative, effective AI
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A leader at McKinsey & Company’s QuantumBlack Horizon, a suite of AI integration tools, shares how teams can comfortably scale their AI initiatives while unlocking true business value.
As economic pressures continue to drive innovation across industries, businesses are eager to harness the power of AI. But many leaders are struggling with how to effectively scale their AI initiatives from prototype to production.
Yetunde Dada, senior director of product management at QuantumBlack, shares her insights on how McKinsey & Company’s QuantumBlack Horizon and its open-source tool, Kedro, are helping organizations overcome these challenges.
“The focus shouldn’t be, ‘How do we organize our code?’ or ‘How do we restructure our pipelines?’—but really, ‘How do we better solve the business problem at hand?’” says Dada. “We think of QuantumBlack Horizon as a Swiss Army knife that you can pull out different tools to use as you face different issues.”
Dada underscores the importance of a combined approach to AI, highlighting Kedro as a collaborative space where data scientists, engineers, and machine learning engineers can build AI initiatives more effectively and reliably. These tools are actively driving business value for McKinsey’s clients.
In the video above, learn more about the key AI challenges the QuantumBlack Horizon addresses, from data accuracy to scalable models, and how Kedro is changing the way data scientists and engineers collaborate.
As economic pressures continue to drive innovation across industries, businesses are eager to harness the power of AI. But many leaders are struggling with how to effectively scale their AI initiatives from prototype to production.
Yetunde Dada, senior director of product management at QuantumBlack, shares her insights on how McKinsey & Company’s QuantumBlack Horizon and its open-source tool, Kedro, are helping organizations overcome these challenges.
“The focus shouldn’t be, ‘How do we organize our code?’ or ‘How do we restructure our pipelines?’—but really, ‘How do we better solve the business problem at hand?’” says Dada. “We think of QuantumBlack Horizon as a Swiss Army knife that you can pull out different tools to use as you face different issues.”
Dada underscores the importance of a combined approach to AI, highlighting Kedro as a collaborative space where data scientists, engineers, and machine learning engineers can build AI initiatives more effectively and reliably. These tools are actively driving business value for McKinsey’s clients.
In the video above, learn more about the key AI challenges the QuantumBlack Horizon addresses, from data accuracy to scalable models, and how Kedro is changing the way data scientists and engineers collaborate.