McKinsey & Company launched QuantumBlack Horizon, a suite of AI development tools designed to help organizations scale their AI initiatives. Developed by QuantumBlack Labs, McKinsey's AI and machine learning innovation hub, the suite addresses the issue that nearly 90% of data science projects don't reach production.
QuantumBlack Horizon is flexible, interoperable, and compatible with all key technology platforms and modern tech-stack components. It aims to provide clean, organized, and accurate data, scalable AI models, a factory-like approach to model development and monitoring, and performance transparency.
The suite will underpin McKinsey's sector-based analytical offerings and provide the technology stack for deploying and driving value from Generative AI and foundation models. The launch of QuantumBlack Horizon represents a significant step in McKinsey's focus on real-world impact through AI.
QuantumBlack grew its headcount this year when McKinsey acquired MLOps startup Iguazio, which included Iguazio's advanced technology and a team of over 70 data and AI experts. Iguazio's technology aimed to enable QuantumBlack Horizon to provide industry-specific AI solutions that are more productive, faster from proof-of-concept to production, and twice as reliable.
IBM also positioned itself for surging demand in Generative AI by establishing its Center of Excellence for Generative AI, a hub comprised of over 1,000 Generative AI specialized consultants.
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