It is critical to build a strong engineering capability that can mine big data in real-time, operationalize the solution and implement it at scale. This session will focus on how to build and deliver the essential capabilities (both technical and otherwise) to enable AI and scale algorithms to power decisioning in the enterprise.
Capabilities
AI and Data Engineering>
Scaling analytics and AI with enterprise IT
Generative AI>
Supercharge Your Business with Generative AI
Finance Analytics>
Transforming enterprises through finance intelligence
Dimension>
Solving Complex, Unstructured Problems
Supply Chain>
Resilient, Agile, Purpose-driven
Responsible AI>
Powering AI with responsible deployment
Quantum Computing>
New dimensions of computing power
IME>
Derive deeper marketing insights
ESG>
Environmental, Social and Governance Framework
FAA>
Fractal Analytics Academy
FinalMile>
Behavior Architects
Customer Experience>
Activating digital moments
MLOps>
Delivering continuous machine learning models & automation pipelines
Solutions
Trial Run>
Better Decisions Through Business Experimentation
Customer Genomics>
Powering the next best experience
Image & Video Analytics>
Innovators for computer vision
Cognitive automation>
Empowering Business Through Automation
Conversational AI>
Bridging the gap between humans and machines
AIDE>
Automated Insights for Digital Evolution
AI @ Scale>
Powering AI with Big Data
Caliper>
Catalyst for Growth
Consumer Hub>
Consumer insights platform
Concordia>
Accelerated data to decision transformation
Products
Asper.ai>
Purpose Built AI for Revenue Growth
Crux Intelligence>
AI Powered Analytics Platform
Eugenie.ai>
Emissions Intelligence Platform
Flyfish.ai>
Generative AI for Sales
Kalaido.ai>
Text to Image Generator
MarshallGoldsmith.ai>
AI-powered Executive Coach
Qure.ai>
AI Algorithms for Medical Imaging
Senseforth.ai>
Conversational AI Platform