fundamentals of ai & ml for (bio)pharma: a masterclass

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Fundamentals of AI & ML for (Bio)Pharma: A Masterclass Introduction 21 - 23 June 2021 LIVE Online Course

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Page 1: Fundamentals of AI & ML for (Bio)Pharma: A Masterclass

Fundamentals of AI & ML for (Bio)Pharma: A Masterclass

Introduction

21 - 23 June 2021LIVE Online Course

Page 2: Fundamentals of AI & ML for (Bio)Pharma: A Masterclass

Meet Your Expert Trainer - Grant Stephen

Grant Stephen is an entrepreneur, mentor and investor focused on launching and building organizations that improve people's health by leveraging the power of data.

As co-founder and CEO of bPrescient, Grant leads a consulting team of over 300 independent experts who work together to boost the performance of biopharma companies by unlocking the hidden value in their data.

Operating at both a strategic and at an implementation level, he works with clients to get that data under control, creates systems that answer the key business and management questions, develops predictive models and implements machine learning and AI capabilities that allow biopharma organizations to significantly reduce uncertainty as they move forward in a rapidly changing world.

Prior to founding bPrescient, Grant was the founding executive and CEO of Tessella, Inc, the US arm of the Tessella Group, where he also served on the global Board of Directors and was one of the three-person team that led the buyout of that company in 2012.

Grant is a graduate of the James Watt School of Engineering at the University of Glasgow in the UK. He also holds an MBA.

CEO & Co-founder, bPrescient

Page 3: Fundamentals of AI & ML for (Bio)Pharma: A Masterclass

Why AI is important to biopharma?Opportunities in the near term and the longer termThe fourth industrial revolution – what is it?Definition of key AI terms

Machine learningDeep learning Neuro-linguistic programming (NLP) Computer Vision / Image Processing

Gain a fundamental understanding of the functionality behind supervised learning, unsupervised learning and deep learning.Explore and unravel the trends of AI, big data, & IoTProblem solving-focused Q&A with the speakers and the audience

DAY 121st JUNE 2021, 11 AM – 12 PM EST

Artificial Intelligence (AI) the basics

Page 4: Fundamentals of AI & ML for (Bio)Pharma: A Masterclass

Developing an AI strategy – What should you consider?Focus for Strategy: Business prioritiesThe role of Culture in success or failureImportance of Data Governance and Analytics GovernanceIs the value of AI accessible to your enterprise now?

Best practice to approach identifying and selecting the most valuable opportunities relevant to your business?AI inspiration - our case study discussion will explore what's already possible

Examples of AI use cases in pharma - drug discovery to clinical trials

Customer-facing applicationsCommon failure mods: What are the typical ways that an AI strategy fails to deliver?Problem solving-focused Q&A with the speakers and the audience

DAY 121st JUNE 2021, 12 PM – 1 PM EST

Creating a strategy

Page 5: Fundamentals of AI & ML for (Bio)Pharma: A Masterclass

The key steps for corporate adoption of AI Development approaches to implement your AI strategy Understanding the importance of data to AI implementation

How to identify what data is neededHow to collect and prepare dataLearn to manage big data and ensure your approach is scalable

DAY 223rd JUNE 2021, 11 AM – 12 PM EST

Executing your strategy & creating AI applications

Problem solving-focused Q&A with the speakers and the audience

Page 6: Fundamentals of AI & ML for (Bio)Pharma: A Masterclass

Common challenges you will encounter and advice to overcome themInternal communication - how to guide management & organizational

leadersManage expectations

Human capital element in AIStrategies for finding, hiring and growing talentRetaining AI talent: incentive programs, engagement and satisfaction Being part of the research community

Methods of working with AI

How AI can redefine internal and external business roles and processesEthical considerations and regulationsHow the workplace will change and the impact on society

DAY 223rd JUNE 2021, 12 PM – 12 PM EST

Organizational considerations and AI

Practical considerations for operating your business in the future – takeaway need to knowsProblem solving-focused Q&A with the speakers and the audience