Disruptive Impact of AI on Pharma Sales And Marketing

Disruptive Impact of AI on Pharma Sales And Marketing

Artificial Intelligence (AI) that refers to the ability of machines to perform cognitive tasks like thinking, perceiving, learning, problem solving and decision making, is poised to disrupt our world. Initially conceived as a technology that could mimic human intelligence, AI has evolved in ways that far exceed its original conception. This was articulated in the June 2018 Discussion Paper, titled ‘National Strategy for Artificial Intelligence’ of NITI Aayog, India.

The paper further highlights: With intelligent machines enabling high-level cognitive processes like thinking, perceiving, learning, problem solving and decision making, coupled with advances in data collection and aggregation, analytics and computer processing power, AI’s capability has dramatically expanded. So is its game-changing utility in a growing number of fields to enhance productivity – dramatically.

I also expressed this need in my article, “Indian Pharma To Stay Ahead of The Technology Curve,” published in this Blog on May 22, 2017. Nevertheless, despite galloping progress of AI, a kind of ‘Ostrich Syndrome’ still prevails in some sections of the industry. This attitude, if continues, may catch many drug companies off-guard, with serious repercussions on business. In this article, I shall focus on the possible impact of AI on pharma business, specifically on pharma sales and marketing, instead of being prescriptive in my deliberation.

A disruptive impact on pharma value-chain:

Currently, only a few drug companies have embraced AI-driven technologies to transform pharma value-chain elements, across functional areas of the organization. However, in the next few years, effective adaptation of AI, in the true sense, will be the key success factors for any player – nurturing a burning desire to succeed, consistently. This was, again, an important conclusion of the 2019 FICCI Report titled, ‘Use of Artificial Intelligence and Advanced Analytics in pharmaceuticals.’

While explaining its rationale, the report emphasizes – catalyzed by an exciting range of new, disruptive technologies a paradigm shift is taking place, challenging the status quo with the traditional pharma business model. AI is in the process of disrupting this status quo, especially in the following two areas:

• Increasing stakeholder pressure to reduce costs and demonstrate greater value of drugs,
• Evolving swing from treatment to prevention, and patient-centric treatments.

Prompts a critical need to re-imagine the future:

These inevitable shifts prompt a critical need to re-imagine the future, for each drug manufacturer. However, the good news is, some of them, predominantly the global ones, have started making sizeable investments on AI. On a deeper scrutiny, the FICCI paper finds that applications of AI are mostly taking place in the new drug discovery and the supply chain area.

Besides individual company initiatives in the R&D area, important collaborative arrangements on AI with academia, have also been announced, such as, ‘Machine Learning for Pharmaceutical Discovery and Synthesis Consortium (MLPDS). This is a collaboration between the pharma/ biotech industries and the departments of Chemical Engineering, Chemistry, and Computer Science at the Massachusetts Institute of Technology (MIT).…continue reading…