Break the Cycle with AI: The Next Era of Digital Marketing
As the cookie crumbles, regulations grow, and consumer privacy takes center stage, the advertising industry is at an inflection point. With major changes around the corner for marketers, publishers, and consumers, how is your brand leaning into advanced technology like AI to evolve digital advertising for the better? Join Grace Murphy & Dani Feore, IBM Watson Advertising, to learn how AI Advertising can break the cycle with a new way forward and enable faster, more accurate decisions based on consumer intent and grounded in privacy-friendly data. You’ll walk away with actionable insights and recommendations about how AI can become a critical part of your data deprecation strategy in the months and years ahead.
Head of Industry, Pharma, Consumer Healthcare & CPG, IBM Watson Advertising
Brand Strategist, IBM Watson Advertising
A Call to Action for Healthcare Marketers: The Past, Present, and Future of Digital Advertising Targeting and Privacy
Google and Apple continue to tout their plans for diminishing the ability of advertisers to track online audiences with third-party cookies and device identifiers. While this has an effect on almost everyone in the advertising ecosystem, publishers, and subsequently healthcare marketers, are feeling it the most as without it their traditional business model is put at risk. In this presentation, DeepIntent CRO Greg Smith, who developed the first cookie targeting solution (22 years ago) and spearheads DeepIntent’s transition to a cookie-less world, will discuss the future of programmatic for healthcare marketers and publishers and why publisher direct relationships along with Universal IDs will be important for the future of the industry.
Chief Revenue Officer,
Beyond HIPAA: Protecting Patient Privacy in a Connected World
As more life sciences companies build marketing analytics platforms in-house, it’s essential that companies use a privacy-first approach to analytics. Veeva Crossix will share best practices, and approaches to avoid, when connecting health and non-health data.