Generative AI: Oh God What Now?: Live from SXSW 2023
Apr 20, 2023
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Sameer Grover, CNS Sr. Specialty Division Manager at AbbVie, and Romain Bogaerts, Director of AI Product Management at Real Chemistry, discuss the impact of generative AI on creative jobs in the healthcare space. They explore the potential of generative AI in the pharmaceutical industry, highlighting limitations and challenges. They also discuss enhancing processes with generative AI, elevating sales rep performance with data and AI, and the importance of finding a technology-driven partner.
Generative AI can assist in various areas of healthcare and optimize the creative and approval processes.
Generative AI faces challenges in accuracy, logical reasoning, and ethical considerations for pharmaceutical companies.
Deep dives
The Potential of Generative AI in Healthcare
Generative AI has the potential to transform healthcare by combining AI and innovative ideas. It can assist in various areas of healthcare, such as Chachi, BT, and Dali technologies. The focus is more on AI being an assistant rather than replacing human beings. The session at South by Southwest explored the effective use of generative AI and its impact on healthcare.
Applications of Generative AI in Pharmaceuticals
Generative AI can revolutionize pharmaceutical marketing by generating a large number of creative ideas that align with the brand's objectives. It can help develop multiple briefs, assisting agencies in creating targeted and on-brief content. Additionally, generative AI can optimize medical, legal, compliance, and regulatory review processes, ensuring quicker approval of assets. It also holds promise in enhancing salesforce effectiveness by providing valuable insights for sales reps and enabling coaching to drive better performance.
Limitations and Risks of Generative AI
Generative AI faces challenges in terms of accuracy and logical reasoning. Accuracy is crucial for large manufacturers in healthcare who must ensure the reliability of information shared with patients and clinicians. Furthermore, generative AI lacks common sense and struggles with complex logical reasoning, making it difficult to adapt to different environments. Ethical and legal considerations, such as copyright infringement and quality control of data, also pose challenges for pharmaceutical companies.
Future Outlook and Skills in Generative AI
In the future, generative AI is expected to find broader applications across various healthcare domains. It can augment creative processes, improve decision-making for sales teams, and enhance coaching for sales reps. As AI continues to evolve, organizations must seek partners who are problem-focused, can integrate AI within existing processes, and prioritize governance and compliance. In terms of skills, individuals with an entrepreneurial mindset, open-mindedness, and a willingness to embrace change will be valuable in leveraging generative AI effectively.
With tools like ChatGPT and DALL-E dominating news cycles, many people – especially those working in creative jobs – are wondering if they will soon be replaced by the technology known as generative AI. During this session, originally recorded in front of a live audience at SXSW 2023, Sameer Grover, CNS Sr. Specialty Division Manager at AbbVie, and Romain Bogaerts, Director of AI Product Management at Real Chemistry, discuss what impact generative AI is having on the creative process, particularly in the healthcare space. Who is using generative AI, and where do we see things headed over the next 6-12 months (or weeks?)
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