NEXT WEBINAR IS SCHEDULED FOR: TBD
The Pandemic has made access to healthcare professionals (HCPs) more difficult for sales representatives. At the same time, most physicians are welcoming longer sales calls and more commercial engagement through digital channels. HCPs can now choose what they want to consume, when they want and how they want to engage with sales representatives. This raises the bar for pharma to deliver high-value messages in near-real time, through the most appropriate channels. By using tools powered by artificial intelligence (AI) and machine learning (ML), field representatives are able to create more personalized interactions that enrich the customer’s experience, thus standing apart from competition to deliver winning results.
Join our webinar to learn about how AI can ‘augment’ field intelligence, not ‘replace’ it. Examine the benefits of predictive analytics through guided case studies that demonstrate concepts of AI and ML, while also delving into ethical issues surrounding use of these tools.
Attendees will be able to:
- Define basic AI terminology
- Discuss examples of where AI is being used in the pharmaceutical industry
- Discuss the ethical implications of AI in the pharmaceutical industry
- Describe the value and promise of AI-powered predictive tools for day-to-day sales representative use
Helen Kontozopoulos, BA, MIB
Helen co-founded ODAIA.ai in 2018, an AI-powered analytics SaaS platform to support pharmaceutical commercial teams to better prioritize and enhance engagement with their customers.
As Chief Tech Evangelist, Helen brings her understanding of artificial intelligence and customer engagement analytics to help sales and marketing teams adopt AI in their work; she designs, builds, and implements artificial intelligence training programs for executives and non-technical stakeholders.
Helen has been advising AI and emerging technology startups since 2014, including within her own incubator, which she co-founded in 2015: The University of Toronto’s Department of Computer Science Innovation Lab (DCSIL) where she supported students and faculty to commercialize their innovations.
Helen has been teaching product development, product design, product management, and entrepreneurship for 8 years at the U of T Department of Computer Science (St.George Campus), and the Department of Computer and Mathematical Sciences (UTSC).
Orchid Jahanshahi, MBA
Orchid Jahanshahi is a commercial leader with extensive experience in Marketing Management, Sales Management and Global Brand Strategy in the biopharmaceutical sector. She held numerous progressive roles in bringing specialty and primary care treatments to healthcare professionals. Orchid worked in Canada and the United States at six Fortune 500 pharma companies and in various therapeutic areas including Neuroscience, Multiple Sclerosis, Cardiovascular, Wound Care, Oncology and Hematology.
Orchid has a proven eye for organizational talent, having led critical change by engaging associates to nurture their sense of purpose, while coaching for stellar business targets. As a seasoned people leader, she is passionate about ensuring that sales representatives provide utmost value to their customers in their role as the main front-facing orchestrator of data in and out of their companies.
Orchid pivoted her career to the artificial intelligence space at two separate Toronto tech start-ups with the vision to create awareness for the ethical use of AI, and to help unleash the power of AI-powered predictive analytics for the life sciences sector. In her current role as VP Commercial, Life Sciences at ODAIA, Orchid is responsible for the customer strategy of MAPTUAL, a SaaS Customer Data platform designed specifically for pharma to automate real-time insights with AI/ML for sales and marketing leaders.
Orchid is a member of the Board of Directors of Kinark Child & Family Services’ Board of Directors and was a previous Education Chair of the OPMA.
Orchid holds an MBA from Ivey School of Business, University of Western Ontario.
THE FINE PRINT
This webinar was developed in collaboration with ODAIA. Founded out of the University of Toronto in 2018, ODAIA is led by an experienced group of serial entrepreneurs, data scientists and AI engineers and is trusted by leading technology organizations. Headquartered in Toronto, Canada.
A cancellation fee of 50% of the registration fee will be imposed if you cancel at least 48 hours prior to the webinar. Your cancellation within 48 hrs of the webinar (or absence) forfeits your entire registration fee. In this case, a webinar recording will be available to you for a limited time. There will be no exceptions. (Please understand that we have to pay for administrative set up of the technology, reserve the Facilitators’ time and respect other students’ commitment.)
This course will count towards CCPE awards but is not eligible for CCPE medals. There is no exam for this course.
- Suggested Hours of Study 0
- Quizzes 0
- Suggested Hours of Study 0 hrs
- Course Completion 1.5 hrs
- Course Format Videos/Webinar
- CPS Full Access No
- Language English
- C.E. Credits What is this? 0.2
- Time Limit N/A
- Passing Grade N/A
- Price $35