Artificial intelligence: business strategies and applications
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Artificial intelligence: business strategies and applications Course
Introduction:
Artificial Intelligence (AI) has the potential to revolutionize organizations by enabling them to work more efficiently and effectively, achieving greater results with fewer resources. When harnessed to address real business opportunities and challenges, AI becomes a transformative technology that can create new features, products, and services, revolutionize business processes and strategies, and generate enhanced value for customers.
AI empowers us to build computer systems capable of collaborating harmoniously to solve complex problems. It possesses the ability to identify patterns in data that even trained professionals may overlook. By leveraging AI and machine learning technologies, organizations can automate manual and time-consuming tasks, freeing up employees to focus on higher-value work. AI can extract fresh insights, enhance decision-making processes, and drive improved business outcomes. Embracing AI at an early stage, specifically for well-defined applications, empowers forward-thinking organizations to create substantial business value and serves as a foundation for transforming business models and processes.
The training course "Artificial Intelligence: Business Strategies and Applications" is designed to provide managers with a comprehensive understanding of the increasing adoption of AI in business. By attending this program, participants will gain insights into what AI can and cannot do for their organization, enabling them to make informed decisions.
Furthermore, the course offers practical templates to guide managers in collaborating effectively with data scientists and programmers within their organization, optimizing the utilization of these emerging technologies. It also features hands-on sessions where participants will learn how to commission analysis and interpret the results generated by data scientists.
Course Objectives:
At the end of Artificial intelligence: business strategies and applications training Course, learners will be able to do:
- The ability to identify and assess the possibilities for AI in your organization and build a business case for its implementation.
- A strong conceptual understanding of the technologies behind AI such as machine learning, deep learning, neural networks, and algorithms.
- Insight from Oxford Saïd faculty and a host of industry experts, helping you to develop an informed opinion about AI and its social and ethical implications.
- A contextual understanding of AI, its history, and evolution, helping you to make relevant predictions for its future trajectory.
- Learn AI’s current capabilities and applications-and its future potential.
- Learn how to organize and manage successful AI application projects.
- Grasp the technical aspects of AI well enough to communicate effectively with technical teams and colleagues.
- Learn how to avoid pitfalls associated with these new technologies.
- Build your leadership credibility by obtaining a Certificate of Completion from UC Berkeley Executive Education.
Who Should Attend?
Artificial intelligence: business strategies and applications training course, is ideal for:
- Senior leaders including C-suite executives overseeing the integration of AI into their organization's business strategy.
- Senior managers and executives involved with managing teams and AI-driven projects.
- Functional Business Heads interested in exploring AI opportunities across business functions.
- Mid-career professionals looking to bolster their career opportunities through new technologies.
- Data Scientists and Analysts involved in research for business intelligence or data analytics where AI may be useful.
- Professionals eager to up skill and advance in their career with the recent advancement in applications of AI in business.
Course Outlines:
Artificial intelligence ecosystem
- Explore the history and potential of AI within the context of the digital ecosystem.
AI and Machine learning
- Understanding the black box: Delve into the mechanics of the three main types of machine learning: supervised, reinforcement, and unsupervised learning.
Understanding deep learning and neural networks
- Understand what deep learning is and how it is powering the modern approach to AI.
Working with intelligent machines
- Explore the concept of intelligence in machines and the impact of AI in the labor market.
The ethics of artificial intelligence
- Explore the hierarchy of ethical and legal considerations around AI.
How to drive AI in your business
- Identify the potential business opportunity of AI in a specific context.