Explore key AI and machine learning concepts and techniques
We offer a condensed introduction to key AI and machine learning concepts and techniques, showing you what is (and isn’t) possible with these exciting new tools and how they can benefit your organization. You’ll learn a language and framework to talk to both technical experts and executives in order to better oversee the practical application of data science in your organization.
Introduction to AI
AI in industry today: Practical applications and benchmark leaders
Data in your organization: What are your raw materials?
Project selection: What makes a good AI use case?
Managing an AI project: How is it is different from other projects?
Leading or supporting a data transformation
Angie Ma is cofounder and COO of ASI Data Science, a London-based AI tech startup that offers data science as a service, which has completed more than 120 commercial data science projects in multiple industries and sectors and is regarded as the EMEA-based leader in data science. Angie is passionate about real-world applications of machine learning that generate business value for companies and organizations and has experience delivering complex projects from prototyping to implementation. A physicist by training, Angie was previously a researcher in nanotechnology working on developing optical detection for medical diagnostics.
Jonny Howell is an associate on ASI Data Science’s consulting team. Previously, he was an innovation consultant at Santander UK, where he led the creation and implementation of the company’s data science strategy, a central part of the COO’s digital transformation program. Jonny has worked on a variety of different data science projects across multiple industries, from engagements focused on increasing operational efficiency to identifying new business opportunities. He holds a law degree from Bristol University. In his spare time, he loves playing the guitar. In a different life, he supported the one-hit wonder Toploader.
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