course | Cognitive Computing and Business Strategy
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DIGTR-1379 | Cognitive Computing and Business Strategy
Course Sector : Digital Transformation and Innovation
| Duration | Date from | Date to | Course Venue | Course fees | Book a course |
|---|---|---|---|---|---|
| 5 Days | 2025-06-30 | 2025-07-04 | Abu Dhabi | $4,250 | Book now |
| 5 Days | 2025-09-22 | 2025-09-26 | Rome | $4,950 | Book now |
| 5 Days | 2025-12-22 | 2025-12-26 | Dubai | $4,250 | Book now |
Course Introduction
This course explores how cognitive computing technologies, including artificial intelligence (AI), machine learning (ML), natural language processing (NLP), and big data analytics, are transforming business strategy and decision-making. Participants will learn how to integrate cognitive computing into their organizations to enhance operational efficiency, improve customer engagement, drive innovation, and gain a competitive advantage. The course also examines real-world applications and provides a strategic framework for implementing cognitive computing in various industries.
Course objective
- Understand cognitive computing fundamentals and its impact on business transformation.
- Learn how AI, ML, and NLP support data-driven decision-making and automation.
- Utilize big data analytics to gain business insights and drive strategic planning.
- Explore how cognitive technologies optimize operations and customer interactions.
- Identify the challenges, risks, and ethical considerations of AI-driven business strategies.
- Develop a roadmap for integrating cognitive computing into business models.
- Analyze real-world case studies to understand best practices in AI adoption.
Course Outline | Day 01
Module 1: Introduction to Cognitive Computing
- Definition and evolution of cognitive computing
- Key technologies: AI, ML, NLP, and robotic process automation (RPA)
- Differences between traditional computing vs. cognitive computing
Module 2: AI and Machine Learning in Business Strategy
- The role of AI-driven analytics in business decision-making
- Predictive analytics for market trends and risk management
- AI-powered automation and workflow optimization
Course Outline | Day 02
Module 3: Natural Language Processing (NLP) and Human-Machine Interaction
- NLP applications in chatbots, virtual assistants, and sentiment analysis
- Enhancing customer service and user experiences with AI
- Speech recognition and conversational AI in business
Module 4: Big Data and Cognitive Analytics
- How big data enhances business intelligence
- Real-time data processing for faster decision-making
- Data visualization and pattern recognition in AI strategy
Course Outline | Day 03
Module 5: Industry-Specific Applications of Cognitive Computing
- AI in finance: fraud detection and algorithmic trading
- AI in healthcare: diagnostics, drug discovery, and patient management
- AI in retail and marketing: personalized recommendations and customer analytics
- AI in manufacturing: predictive maintenance and process automation
Course Outline | Day 04
Module 6: Ethical Considerations and AI Challenges
- AI bias and fairness in decision-making
- Data privacy, security, and regulatory compliance
- Ethical AI frameworks and governance strategies
Course Outline | Day 05
Module 7: Implementing Cognitive Computing in Business Strategy
- Steps to develop an AI adoption roadmap
- Overcoming challenges in AI implementation
- Measuring ROI and business impact of AI initiatives
BOOST’s Professional Attendance Certificate “BPAC”
BPAC is always given to the delegates after completing the training course,and depends on their attendance of the program at a rate of no less than 80%,besides their active participation and engagement during the program sessions.
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