Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans. Some of its activities include: •Speech recognition •Learning •Planning •Problem solving
Business use of AI is gaining momentum due to the increasing pervasiveness of the technology and the rising discovery of business benefits that can be derived from its use.
Many types of organizations have gained business value from machine learning.
1: Customer Relationship Management
2: Failure Prediction for Preventive Maintenance
3: Finance and Hedge Fund Portfolio Pricing
4: Workforce Management
5: State Government and Litigation Case Management
1: Security Operations
2: IT Call Centers
4: Project Management
Classify the problem
Model the problem
Validate and execute
When planning to aggressively build custom AI algorithms and applications, organizations must develop a life cycle for machine learning to support the highly iterative building, testing and deployment of AI models
Development life cycles must support:
Collaboration for heterogeneous teams and technologies
Monitoring of AI models with statistical analysis capabilities
Reusability of AI models for rapid development
Interoperability between different analytic platforms and AI frameworks
To support ML applications, technical professionals must envision a revitalized data and analytics end-to-end architecture that incorporates diverse data, models and algorithms and can deliver analytics anywhere.
Once you've identified a good first business challenge to solve with AI, build a small pilot project and conceptual architecture around that use case.
Business Insight Corporation recommends that technical professionals take the following steps to prepare and initiate AI capabilities.
Artificial Intelligence is about acquiring knowledge through data, and it differs from traditional applications or programs that generate statistics or engineering output. AI technologies offer the benefits of speed, power, efficiency and intelligence through learning without having to explicitly program these characteristics into an application.
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