QuantumBlack
QuantumBlack
0 reviews
WH Score
7.2

QuantumBlack Overview

What is QuantumBlack?

QuantumBlack, AI by McKinsey, is a hybrid intelligence consulting and technology firm that combines data expertise, modern Artificial Intelligence (AI) technology, and creative, strategic human thinking to help companies transform data and achieve sustainable growth. QuantumBlack is at the center of AI innovation and development, where McKinsey experts in technology, design, and products work together to build AI-powered tools that facilitate an organization’s smooth transition to AI.

Key QuantumBlack Capabilities

  • Artificial Intelligence (AI): QuantumBlack, AI by McKinsey collaborates with organizations and works as a trusted, strategic partner to design, implement, and scale AI technology and data processes for the most impact in a company’s AI transformation.
  • Data Transformation: QuantumBlack works with organizations to identify their most important growth opportunities and then uses advanced analytics tools and AI models in their Data and Analytics Acceleration Lab to analyze historic and company data.
  • Strategic Consulting: QuantumBlack works closely with the leadership team within an organization to help create a data-driven AI solution that informs decisions across the entire business.
  • Internet of Things (IoT): QuantumBlack helps companies digitize data, connect products and services, and create new revenue streams with seamless IoT innovation and connectivity that unlocks the potential of data and IoT. 

Company:McKinsey & Company
Platforms:

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QuantumBlack Key Features


Supported Technologies
  • Artificial Intelligence (AI)
  • Machine Learning (ML)
  • Deep Learning
  • Generative AI
  • Conversation Intelligence (CI)
  • Natural Language Processing (NLP)
  • Robotic Process Automation (RPA)
  • Internet of Things (IoT)
  • Edge Computing
Conversational AI
  • Contextual Interactions
  • Intent Discovery
Data Management
  • Data Indexing
  • Data Classification
  • Data Labeling
  • Data Discovery
  • Data Mapping
  • Data Refresh
  • Data Lookup
  • Data Blending
  • Data Drilling
  • Data Mining
  • Data Modeling
  • Data Storytelling
  • Data Retention
  • Data Validation
  • Model Training
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