Kishor Kr Jha, Associate Principal Architect, RED HAT
Abstract
This post is about Cognitive Computing & Trends
In this article , I am going to emphasize on cognitive trends, drivers & implications.
Intended Audience
Technical Architects, Solution Architect , Application Developers , AI/ML Engineers , Dev-ops Engineer ,Release Manager & Test Engineers.
Why Cognitive Computing?
Drivers
- Advances in enabling AI technology areas
- Increasingly large complex datasets that can be the source of major insights and hold the answers to critical questions
Challenges
- Education future of AI’s impact on jobs and society
- Window of opportunity: Partnerships / Ecosystems / Developers /AI /ML Engineers
Implications /Impacts
- First movers will have an advantage
- Business processes and whole industries will be transformed
- New IT architectures, systems design, data management/analytics and workload optimized systems
Machine Learning (ML)
Subset of AI, gives computers the ability to learn without being explicitly programmed. The term ML is primarily used by the technical community.
Cognitive computing is about putting together a system that combines the best of human and machine capabilities
Machine Learning Cycle /Phase
Cognitive Key Differentiator
65% Enterprise Organization say adoptive cognitive is very important to their organization’s strategy and success
58 % of Enterprise Organization say cognitive computing is essential to digital transformation
62 % of users say outcomes from cognitive initiatives exceed their expectations
Cognitive Computing Dimensions
Cognitive Computing Improves Operation
Cognitive Computing Use Case
Conclusion /Take Away
Cognitive Computing and AI -ML is essential for ongoing enterprise needs /business applications & innovation & prospects & digital initiatives in various industry domain.
Cognitive computing has evolved in various area of enterprise business ,which includes :
Self service,Guided experience for learning and submission, Chat botSpeech to text capture of submission, Integration of IOT insights
Cognitive Computing Drives cost savings, and improved data capture