DUBLIN--(BUSINESS WIRE)--The "Machine Learning, Deep Learning and AI - The Advantage of Advanced Analytics" training has been added to ResearchAndMarkets.com's offering.
What do you say when you are asked by management what these analytics are and can we use them? What if they ask about the field of AI and what it consists of? Should you implement one AI project or several? Should you focus on one type of AI or several? What happens if it is a large or ambitious project? Where do expert system and knowledge management fit in the AI framework?
Answering these and many more of these types of questions requires some basic knowledge and insight into the meaning, value, use and benefit of applying a technology like AI.
In reality, it's all about decisions and the right data that feeds them. Any AI effort has an objective the AI is to achieve and inputs that help you predict the outcomes of several scenarios. So, this is also about planning, anticipation land correction with the intent of improving decision making.
Organizations apply AI types of solutions based on what they see or read in articles describing what other organizations are doing. That may or may not fit the specific needs of your organization. Improving decision making translates directly to improved organization performance. The increased use of analytic techniques, data bases and algorithmic techniques means that managers need understanding of the scope, value and effort relating to AI.
Understanding, organizing, integrating and delivering AI solutions to useful points in the organization is a key issue today. AI supports better, and more effective decision making leading to better performance.
Key Takeaways
- Explain the different uses of AI today
- Understand the techniques used for the different types of AI capability
- Define a roadmap to reach effective use of AI
- Explaining the technology available for AI
- Interpret how AI can help the business
- Select appropriate AI techniques for the business
- Understand the limits of AI
- Interpret social media data to understand market potential
- Suggest operational opportunities for AI
Agenda
DAY ONE THEME: MACHINE LEARNING (ML)
Section 1: Machine Learning Today - ML is About Algorithms
Section 2: Supervised ML Prediction - Looking For The Right Direction
Section 3: What Path Should We Take? - Decision Analysis
DAY TWO THEME: DEEP LEARNING
Section 4: What is Deep Learning All About?
Section 5: Mapping Patterns in Data - Deep Learning
Section 6: Why Isn'T Everyone Doing This?
DAY THREE THEME: ARTIFICIAL INTELLIGENCE (AI)
Section 7: The Real Scope of AI
Section 8: Operationalizing AI
Section 9: The AI Roadmap
For more information about this training visit https://www.researchandmarkets.com/research/69ss98/3_day_course_on?w=4
