AI at QuantumBlack McKinseys Open Source Dilemma Frank Nagle Sam Boysel Susan Pinckney
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AI at QuantumBlack McKinseys is a rapidly emerging open-source system designed to transform business data by transforming it. It was launched in 2017, and since then it has gained traction across numerous industries. QuantumBlack’s open-source data engine enables businesses to gather, prepare, and analyze data, making it easier for them to make informed decisions. With such capabilities, businesses can create AI-powered predictive models and gain insights into their customers’ behavior. However, there is one obstacle
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A lot of companies and agencies are already experimenting with AI — whether in search or marketing. They are also getting increasingly serious about Open Source projects. In some cases, these organizations are leveraging AI to transform how they work. That is great. It should be great, but, as with any new technology, there are risks. Some Open Source projects do not deliver, or deliver poorly. The problem is that there are more such projects than resources to support them. Even if a project is successful, it may be too late to adopt and implement. This
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QuantumBlack McKinsey & Company (McKinsey) has been a world leader in predictive analytics and AI for more than 15 years. In 2021, McKinsey and others began moving their predictive analytics into AI to improve predictive insights. For instance, the AI is applied to diagnose diseases to provide better insights into how diseases develop and progress. McKinsey’s own Open Data Platform (ODP) was created by merging predictive analytics with AI. In my view
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Ask yourself: can machines be trusted to do tasks in a way that is transparent to humans? The world’s top experts are already arguing that yes, they can — at least for certain tasks like forecasting, analyzing and decision-making. But that’s only the start. We’re now working on applications that are even more complex, like optimizing investments, driving productivity and identifying new sources of revenue. These can’t just be trusted to algorithms either — we need to be able to see how the AI is making
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As an entrepreneur and AI expert, I’ve had the opportunity to collaborate with numerous QuantumBlack McKinsey companies in various capacities. One such company is McKinsey Strategy and Risk, where I served as a partner. During our time working together, I observed QuantumBlack developing an AI and machine learning tool called “Open Source” (OS). Intuitively, OS is a great idea that could benefit so many customers. However, I believe QuantumBlack has a significant opportunity to improve the experience for both internal and external customers
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This article provides an insightful analysis of the current state of AI at QuantumBlack McKinseys. This report also details the company’s open source dilemma. a fantastic read Frank Nagle, senior director, AI, QuantumBlack McKinsey, shares insights into the latest AI developments, which includes new methods and technologies. Sam Boysel, a director and principal in the QuantumBlack Consulting practice, provides insights into QuantumBlack’s AI platform development and how it aligns with the company’s goals and objectives