AI in Business and Research

Demystifying Artificial Intelligence and highlighting its future opportunities

Scientists claim that artificial intelligence is the most profound “general-purpose technology” of our era, a harbinger of progress and growth akin to the discovery of electricity or the invention of the steam engine. Artificial Intelligence, ubiquitously referred to by its punchier abbreviation AI, is becoming ever more prevalent.

McKinsey’s AI adoption report estimates AI’s global economic impact to reach $13 trillion by 2030. Unsurprisingly, businesses are scrambling to develop their AI strategy, and the question on everyone’s mind is how best to leverage this exciting new area. However, AI is not restricted to data scientists and machine learning engineers. If you want your organisation to become better at using AI, this non-technical course provides a comprehensive overview of this flourishing discipline and will help to work with an AI team and build an AI strategy in your company.

Who will find it useful

• This course will benefit customer insight and market research agency practitioners, who want to better understand the increasingly important field of artificial intelligence and its role in the commercial world.

Objectives

• To inform delegates of the main opportunities and risks of deploying AI across a range of business use cases
• Provide a detailed overview of some key misconceptions regarding AI technology
• Help delegates navigate the complex world of Tech giants and small AI startups
• Outline the process of developing an AI strategy for general business applications, insight generation and exploitation as well as market research
• Provide a general introduction to AI techniques and their increasingly dominant role in the world of business
• To demonstrate the value of humans working together with AI platforms to deliver transformative solutions

Learning outcomes

• Demystifying common AI terminology, including neural networks, machine learning and deep learning
• Understand the fundamental scientific principles underlying Artificial Intelligence
• Gain an awareness of the history of AI, contemporary developments and future trajectories of AI technology
• Appreciate different perspectives on AI, such as symbolic and sub-symbolic approaches
• Learn how to evaluate AI technologies critically
• Develop an intuition for spotting opportunities to apply AI to common businessproblems