The demand for AI-driven personalization and cohesive e […]
Industry Leaders Come Together to Discuss Intelligent Customer Engagement at the 2019 Aktana Innovators Forum
We recently hosted our annual Aktana Innovators Forum i […]
Meeting the expectations of healthcare providers (HCPs) […]
Machine learning is easily one of the most heavily disc […]
Across industries, innovators are finding ways to use d […]
Life sciences organizations are continuing to adopt dig […]
Artificial intelligence (AI) has already proved to be useful when it comes to life sciences R&D, starting to fruitfully aid in plumbing the vast depths of discovery, clinical, and real-world data. However, the benefits of AI are now making themselves known on the business side of the life sciences industry, enabling commercial teams to better understand and address the needs of the healthcare providers and patients they serve. In 2019, the following trends will help to define how AI can become better integrated into the commercial side of life sciences businesses.
It’s no secret that customer centricity and personaliza […]
Novartis and Aktana Present the New Commercial Engagement Model at
Veeva Commercial and Medical Summit, Europe
The Veeva Commercial and Medical Summit, Europe welcomed over 1,000 attendees this year in Madrid, including speakers from some of the world’s largest life sciences companies. Concentrated on the era of intelligent customer engagement, attendees discussed the future of customer engagement across sessions, networking conversations, and on social media.
Decision support has become a vital tool in connecting brand strategy with execution, resulting in increased CRM satisfaction and better healthcare professional (HCP) engagement. When you roll out your decision support program, how can you ensure that you’ll get the adoption and long-term user engagement with the technology to achieve these results? Below are four essentials for maximizing engagement in AI decision support.