Artificial intelligence: business strategies and applications
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Artificial intelligence: business strategies and applications Course
Introduction:
Artificial Intelligence (AI) enables organizations to work faster, and smarter; doing more with less. When aligned with real business opportunities and challenges, AI can be a transformative technology; creating new features or products, revolutionizing business processes and strategy, and creating new value for customers.
With artificial intelligence, we can build thousands of computers that could all work in unison to solve our most complex problems. It is also capable of seeing patterns in data that even trained professionals don’t always catch. Artificial intelligence and machine learning technologies can automate important, but manual and time-consuming tasks, allowing employees to focus on higher-value work. AI will be used to extract new insights, transform decision-making, and drive improved business outcomes. Early adoption of artificial intelligence for specific, clearly defined applications enables forward-looking organizations to create significant business value and, ultimately, to set the stage for transforming business models and processes.
Artificial intelligence: business strategies and applications training course is designed to give managers an understanding of the growing deployment of AI in business, so they can appreciate what it can and cannot do for their organization.
The program also provides practical templates to guide how you work with data scientists and programmers in your organization in making the most of these emerging technologies. Uniquely, it also features hands-on sessions where you will be shown how to commission analysis and analyze the results that data scientists produce.
Course Objectives:
At the end of the 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 its evolution, helps 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 oversee 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 are 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 are eager to skills and advance in their careers 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.
