Artificial Intelligence for Pharma Execs
Artificial intelligence, machine learning, and big data have radically changed the way businesses operate. Every sector is now trying to understand, formulate, and implement AI into its business functions to make them more sustainable, efficient, and profitable. Like all businesses, the Pharma sector is also on the precipice of its next evolution and to shape its future, pharma leaders must step up to take this challenge head-on. Innovation with speed is possible if you and your organization can use AI effectively.
Syllabus
This training is an introductory journey into the heart of AI, from the fundamentals of AI including machine learning, to cutting-edge technologies like Generative AI, Deep Fakes, Digital Twins, and Synthetic Data. We explore how AI intersects with every facet of pharma, from research and development to compliance and beyond and explored numerous use cases in each business unit. But that’s not all! We don’t just stop at the present—we also peer into the future of AI in pharma, providing invaluable insights to help you future-proof your role and stay ahead of the curve.
Part 1: Intro To AI: Understanding Demystified
Discover the essence of Artificial Intelligence, including Machine Learning and the base types of AI and ML.
Part 2: Understanding Generative AI
Understanding Generative AI, including ChatGPT, and how it works and understand real-world applications, and essential considerations for compliant implementation.
Part 3: The Critical Importance of Applying AI in Companies and Organizations
Understand how companies leverage AI strategically for competitive edge. In pharma, AI deployment is strategic too, enhancing competitive advantage.
Part 4: Application in Pharma and Healthcare Part 1
Understand how AI is applied throughout the pharma value chain including discovery and R&S, clinical trials, medical affairs and regulatory.
Part 5: Application in Pharma and Healthcare Part 2
We continue through the pharma value chain with applications in market access, sales and marketing.
Part 6: AI Legal, Compliance and Ethics in Pharma
We delve into the legal, compliance and ethics challenges faced by pharma in AI and how to solve these.
Part 7: How an AI Project Works
We break down how an AI projects works from the concept to execution and everything in between.
Part 8: The challenges of implementing AI
In this section we look at the main reasons so many AI projects fail and what you can do to ensure your implementation is successful.
Part 9: Implementing AI in pharma: Where to begin
We show how your project can be planned to be successful from the beginning.
Part 10: AI tools to use today
We explore various free or inexpensive AI tools that you can use in your work to make your life easier.
Part 11: Ai in your organization and your job
Embedding AI effectively in your organization and your role takes planning, We alos examine myths in AI.
Part 12: AI and the future of pharma and your role
We examine where AI in pharma is heading and how you can prepare for this future.
What will you achieve on this course?
Artificial intelligence, machine learning, and big data have radically changed the way businesses operate. Every sector is now trying to understand, formulate, and implement AI into its business functions to make them more sustainable, efficient, and profitable.
Innovation with speed is possible if you and your organization can use AI effectively.
Like all businesses, the Pharma sector is also on the precipice of its next evolution and to shape its future, pharma leaders must step up to take this challenge head-on. The next big challenge and opportunity for Pharma leaders is – AI.
To achieve and maintain a status of authority, credibility, and reliability in your role, it is imperative that you stay ahead of the curve when doing your job.
This training will provide a foundational comprehensive understanding of transformative AI which is crucial for the future of your organization. By completing this introductory training, you will be able to understand AI enough so that you can plan what you need for your organization.
Key challenges that you will be able to solve with this understanding:
- Maintaining a healthy and profitable product pipeline
- Gaining faster approval and rapid market access.
- Seamless and efficient business processes.
- Identifying high ROI opportunities.
- Removing growth bottlenecks.
Who is this for?
This course is for
Pharma execs bound by time constraints and looking for a base AI understanding beyond ChatGPT that speaks to the real world pharma challenges, and who are sick of boring presentations and generic content and want a clear explanation that shows how they can get real world impact.
We, at Eularis, have been helping pharma companies navigate these issues for 20+ years now. We have delivered more than 300+ end-to-end AI big tech builds and 1,000+ data science projects for our clients.
Our CEO, Dr. Andree Bates, has over 30 years of extensive experience in Pharmaceuticals, and 20+ years experience in AI in Pharma from conception to ultimate delivery of AI products, Dr. Bates has delivered real-world results for Sanofi, Pfizer, AstraZeneca, Bayer, Merck, and similar clients.
Dr. Andrée Bates is a leading and highly sought-after thought leader in Artificial Intelligence for Pharma and the founder and CEO of Eularis, a firm that has been focused on tackling pharma industry challenges with artificial intelligence since 2003.
With this much exposure and experience backing you, you can’t go wrong with AI in Pharma.
Sign-up for this course
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When it comes to courses on AI, the market is saturated with content that is either too techie, or too basic, generic, outdated, and not even relatable to pharmaceuticals – at all!
Luckily, Eularis, a company dedicated to leveraging AI in Pharma has already worked out a solution to this problem.