Artificial intelligence: business strategies and applications
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Artificial intelligence: business strategies and applications Course
Introduction:
Artificial Intelligence (AI) empowers organizations to operate at a faster pace and with greater efficiency, achieving more with fewer resources. When strategically applied to real business opportunities and challenges, AI has the potential to be a game-changing technology. It can facilitate the creation of innovative features and products, revolutionize business processes and strategies, and generate new value for customers.
By harnessing the power of AI, we can construct vast networks of computers that collaborate seamlessly to tackle our most intricate problems. AI possesses the ability to discern patterns in data that even well-trained professionals may overlook. Moreover, AI and machine learning technologies have the capacity to automate manual and time-consuming tasks, freeing up employees to concentrate on more high-value endeavors.
AI will play a crucial role in extracting fresh insights, enhancing decision-making processes, and driving improved business outcomes. Embracing AI at an early stage, for specific and well-defined applications, empowers forward-thinking organizations to create substantial business value. Ultimately, this paves the way for transformative shifts in 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 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.