Leveraging Artificial Intelligence For Greater Patient-Centricity

‘Artificial Intelligence (AI)’ – the science of simulation of intelligent behavior in computers, has the potential to leave a transformational impact on virtually everything that we see and feel around us. As many will know, the modern definition of AI is “the study and design of intelligent agents where an intelligent agent is a system that perceives its environment and takes actions which maximizes its chances of success.”

Let me begin with a couple of exciting examples on the application of AI for general use. One such is Siri the voice-activated computer in the iPhone that one can interact with as a personal assistant, every day. The other is the self-driving features with the predictive capabilities of Tesla cars; or even the well-hyped Google driver-less car. Alongside, Google is also in pursuit of creating AI with ‘imagination’ through its ‘DeepMind’. It develops algorithms that simulate the human ability to construct plans.

Pharma’s emergence in the AI space:

The unfathomable potential of AI is being slowly recognized in the healthcare arena, as well, including pharma industry. It’s gradual emergence in the space of ‘intelligent learning’, often called ‘machine learning’, ushers in a new paradigm of learning from a vast pool of highly credible real-time data. Innovative applications of this process can fetch a game changing business performance. Its scope spans right across the pharma value chain – from Drug Discovery, including Precision Medicine; Clinical Trials; Pharmacovigilance; Supply Chain Management, and right up-to Sales and Marketing.

Pharma’s emergence in the AI space is quite evident from Reuters report of July 3, 2017. It wrote that GlaxoSmithKline (GSK) has inked a new USD 43 million deal with Exscientia to help streamline the company’s drug discovery process by leveraging AI. With this deal in place, Exscientia will allow GSK to search for drug candidates for up to 10 disease-related targets. GSK will provide research funding and make this payment, if pre-clinical milestones are met.

Again, on July 27, 2017, Insilico Medicine – a Baltimore-based leader in AI, focusing on drug discovery and biomarker development, announced a similar agreement with the biotechnology player Juvenescence AI Limited. According to this agreement, Juvenescence AI will develop the first compounds generated by Insilico’s AI techniques, such as Generative Adversarial Networks in order to generate novel compounds with desired pharmacokinetic and pharmacodynamic properties.

Several other pharmaceutical giants, including Merck & Co, Johnson & Johnson and Sanofi are also exploring the potential of AI for streamlining the drug discovery process. It would help them to significantly improving upon the hit-and-miss business of finding new medicines, as Reuters highlighted.  Eventually, these applications of AI may be placed right at the front-line of pharma business – in search of new drugs.

I have already discussed in this blog – the ‘Relevance of AI in creative pharma marketing’ on October 31, 2016. In this article, I shall mainly focus on leveraging AI in health care for greater patient-centricity, which is emerging as one of the prime requirements for excellence in the pharma business.

Imbibing patient-centricity is no longer an option:

In an article published in this blog on the above subject, I wrote that: ‘providing adequate knowledge, skills and related services to people effectively, making them understand various disease management and alternative treatment measures, thereby facilitating them to be an integral part of their health care related interventions, for better health outcomes, are no longer options for pharma companies.’

The craft of being ‘patient-centric’, therefore, assumes the importance of a cutting-edge  of pharma business for sustainable performance.

What exactly is ‘patient-centricity’?

BMJ Innovations – a peer reviewed online journal, in an article titled, ‘Defining patient centricity with patients for patients and caregivers: a collaborative endeavor’, published on March 24, 2017, defines ‘patient-centricity’ as: “Putting the patient first in an open and sustained engagement of patient to respectfully and compassionately achieve the best experience and outcome for that person and their family.”

Thus, to deliver the best experience, and treatment outcomes to patients, their participation and engagement, especially with the doctors, hospitals and the drug companies assume significant importance.

The June 2017 ‘Discussion Paper’ of McKinsey Global Institute, titled ‘Artificial Intelligence the Next Digital Frontier’ also captured this emerging scenario, succinctly. Recognizing that health care is a promising market for AI, the paper highlighted the enormous potential in its ability. The power of which can draw inferences by recognizing patterns in large volumes of patient histories, medical images, epidemiological statistics, and other data.

Thus, AI has the potential to help doctors improve their diagnoses, forecast the spread of diseases, and customize treatments. Combined with health care digitization, AI can also allow providers to monitor or diagnose patients remotely, as well as transform the way we treat the chronic diseases that account for a large share of health care budgets, the paper underscored. This poses the obvious question: what exactly AI can possibly do in the space of health care?

What can AI do for health care?

In a nutshell, the application of AI or ‘machine learning’ system in health care generally uses algorithms and software to approximate human cognition in the analysis of relevant, yet complex scientific and medical data. In-depth study and interpretation of these in a holistic way would be of immense use in many areas. For example, to understand the relationships between prevention or treatment processes and outcomes, or various debilitating conditions affecting people with the advancement of age, to name just a few.

This necessitates the generation of a huge pool of relevant and credible data from multiple sources, storing and analyzing them meaningfully, and then garnering the capabilities of ‘machine learning’ with the application of AI. Such a process helps in zeroing-in to a series of complex, interdependent strategic actions to go for the gold, in terms of business results. Using conventional methods, as exist today, other than imbibing AI or ‘machine learning’, may indeed be a Herculean task, as it were, to achieve the same.

Invaluable business insights thus acquired need to be shared, across the various different functions of a company, for greater patient-centricity within the organization.

Moving from ‘patient-engagement’ to ‘patient-centricity’:

While making a significant move from just ‘patient engagement’ to being ‘patient centric’, one-size-fits-all strategy is unlikely to yield the desired results. The process of gathering adequate knowledge and understanding of any individual’s disease management skills, which mostly depend on complex multi-factorial, interrelated and combinatorial algorithms, will be a challenging task, otherwise.

Thereafter, comes the need to deliver such knowledge-based value offerings to target patients for better health outcomes, which won’t be easy, either, in the prevailing environment.

Considering these, AI seems to have an immense potential in this area. Some global pharma players are also realizing it. For example, GSK is reportedly engaged with IBM’s Watson in the development of AI-enabled interactive digital Apps for its cold and flu medication to provide relevant information to patients.

Conclusion:

Patient-centricity would soon be the name of the game for pharma business excellence. However, to be truly patient-centric, especially in the sales and marketing operations, pharma players would require to source, process and analyze a huge volume of relevant data in several important areas. These include, target patients, target doctors, environmental dynamics, demographic variations, regulatory requirements, current practices, competitive activities, to name a few.

In this strategic business process, AI or ‘machine learning’ will help accurately mapping the ongoing dynamics and trends in virtually all critical areas. It will help ferret out the nuances of turning around the competitive tide, if any, and that too with immaculate precision. In that sense, AI is likely to emerge as a game changer in imbibing patient-centricity, in the real sense. Consequently, it carries a promise of delivering significantly better outcomes, yielding higher financial returns, alongside.

Although, some concerns on AI are being expressed by several eminent experts, it is generally believed that on the balance of probability, it’s crucial potential benefits far outweigh the anticipated risks. In my view, this holds good even for the pharma industry, especially while leveraging AI for greater patient-centricity, better disease prevention, and more desirable treatment outcomes – improving the quality of life of many, significantly.

By: Tapan J. Ray 

Disclaimer: The views/opinions expressed in this article are entirely my own, written in my individual and personal capacity. I do not represent any other person or organization for this opinion.

 

Indian Pharma To Stay Ahead of The Technology Curve

In the ever-changing business environment, many industrial sectors have now started leveraging different cutting-edge technological platforms to improve overall strategic and operational effectiveness, keeping a sharp focus on better stakeholder engagement for greater customer satisfaction.

These companies have accepted the inevitability of a paradigm shift in the algorithm of the traditional business process. It has dawned on them that it may not be possible to be in the pole position by tweaking the existing process with multiple incremental changes – a time is just right now to take a quantum leap in this direction. Placing the company ahead of the technology curve to acquire the critical X-factor in outperforming the competition is going to be the new mantra. This is likely to happen even in the sales and marketing domains, much sooner than one can possibly imagine, as the marketplace becomes increasingly tougher.

Moving closer to this direction, Artificial Intelligence (AI) based digital tools, I reckon, is likely to be one of the key game changers. The term AI was coined in 1956 by John McCarthy at the Massachusetts Institute of Technology (MIT) and is usually defined as the science of making computers do things that require intelligence when done by humans. AI helps to ferret out critical answers to many real-life issues and gain a competitive edge in business management, by creating and then effectively analyzing a huge pool of real life data.

AI is the fulcrum of business operations for several leading companies of the world, such as, Apple, Amazon and Uber. It has already started replacing human intelligence in a number key business operations in various industries. As a widely-known Indian business leader recently said, anything that can go digital will go digital. This wave is unstoppable in this modern era.

In this article, I shall restrict the scope of discussion to the application of AI in pharma sales and marketing.

A recent illustration from India:

The application of AI via a digital tool, called Chatbot – the short form of ‘Chat Robot’, is one of the ways in this direction. It is a complex computer program that simulates human conversation, or chat, through auditory or textual methods. Various industries have now started developing the Chatbot dialog application systems for a specialized purpose of human communication, including a variety of customer interaction, information acquisition and providing a range of customized services to the target group.

To illustrate the above point, let me draw upon a recent example from the banking sector of India. On March 05, 2017, a leading bank in India announced the launch of an AI-driven Chatbot named Eva, coined from the words Electronic Virtual Assistant (EVA), to add more value to their services for greater customer satisfaction.

According to reports, Eva is India’s first AI driven banking Chatbot that can answer millions of customer queries on its own, across multiple channels, immediately. It assimilates knowledge from thousands of sources and provide answers in a simple to understand language format in under 0.4 seconds. This is a good example of taking a quantum leap in improving operational efficiency by delighting the new generation of customers. “Within the first few days of its launch, Eva has answered over 100,000 queries from thousands of customers from 17 countries across the globe” – the bank reportedly claimed.

To do routine services more efficiently with a customer-centric approach, this AI-based  Bank OnChat combines a disruptive technology platform for a human-like conversation, powered by AI, and the Bank’s deep domain expertise and long acquired insight of banking related customers. Earlier this year, for a similar customer-oriented initiative using AI and Robotics technologies, the same bank launched an interactive  humanoid called Intelligent Robotic Assistant or IRA.

Although, these are just illustrations in the Indian context, an important question that surfaces: if these can happen in the banking industry, why not in the pharma sector of India?

Resisting changes versus finding innovative means to overcome challenges:

Coming back to the pharma industry, we all are aware that this knowledge sector, over the last four and a half decades in India, has been navigating through umpteen challenges, none of which has been easy, by any measure.

Nevertheless, as compared to the past, I notice a palpable difference today. Significantly more number of shrill voices with fierce resistance to changes are now outnumbering the out of box mindset, desire and efforts to still thrive, by overcoming those critical challenges. Since the formative years of the Indian pharma industry, it has been successfully overcoming the challenges of change, which are unavoidable though.

Such kind of indomitable ‘animal spirit’ within many leaders of the Indian pharma industry, created today’s national pharma behemoths like, Sun Pharma, Lupin, Cadila, Dr. Reddy’s, Alkem and many others. They are thriving despite continuation of immensely challenging business environment and tough socioeconomic demand in the country. By the way, the second richest person in India is from the Indian pharma industry and grew from a scratch, during this very period.

Making creative changes help, moaning doesn’t:

While facing the newer sets of challenges today, many industry greenhorns, I reckon, need to spend more quality time to effectively overcome these turbulences – provided of course they possess the requisite mindset, knowledge and other wherewithal.

Acquiring new insight through modern technological platforms, such as AI, will pay a rich dividend. Better customer engagement and relationship management with new genres of AI tools, furnishing stimulating and modern web-based content with personalized access, would help achieve the desired strategic goals in the changing paradigm – but just moaning won’t, surely.

A few global pharma players are now fathoming the scope and depth of this area, most others are still not sure about its usefulness for customer engagement and interactions, and commensurate real-life data requirements for AI related analytics.

A predictable pattern of a series of unpredictable challenges and developments:

According to Eularis, integrating AI based analytics with a pharma product offerings can provide substantial benefits including, among others, the following:

  • Identification of both tangible and intangible enhanced value proposition
  • Enhanced competitor differentiation
  • Optimal resource allocation for maximum market share gain, revenue and profit
  • Ability to see which levers to pull to maximize growth
  • Customizing sales and marketing messaging for greater customer engagement
  • Automation of sales and marketing messages and channels.

In my view, while moving in this direction, AI based analytics are now far more reliable than any human analysis of the humongous volume of different kinds of data. Doing so is sometimes beyond the capacity of any conventional computers that a marketing professional generally uses for this purpose. The prime requirement, therefore, is not just huge volume of data per se, but good quality of a decent volume of data, that a state of the art analytics would be able to meaningfully deliver to meet specific requirements of pharma marketers for creating a cutting-edge marketing strategy.

This will be an absolute necessity in the complexity of an evolving new paradigm in the cyberspace. In a similar context, as I wrote even earlier, any such technology-driven changes would usually follow a predictable pattern of a series of unpredictable challenges and developments in the business environment, which has already commenced in the pharma industry.

The Market:

According to an April 2013 article, published by the McKinsey  Global Institute, applying big-data strategies to better inform decision making could generate up to US$100 billion in value annually only across the US health care system, by optimizing innovation, improving the efficiency of research and clinical trials, and building new tools for physicians, consumers, insurers, and regulators to meeting the promise of more individualized approaches.

Mandatory generic prescriptions won’t make pharma marketing less important:

Even if the much talked about mandatory prescription in generic names comes to fruition, the new paradigm won’t make pharma marketing less important. This would, however, be more about providing patient-centric, credible and tangible disease management or treatment solutions or both, rather than just selling a drug giving a trade name to it.

Thus, the need for interaction with physicians by the pharma players, besides some additional new target groups, would continue to remain important. Nonetheless, the message – mostly its form, substantive content, the targeting process and the usage of various tools for delivery of the same, would undergo substantive modifications. These changes would generally be prompted by fresh thinking, together with a fresh pair of eyes and mind, in the prevailing business environment, at any given point of time, well supported by data and tested with state of art analytics. The depth and gravity of environmental changes may also hasten the process of digital transformation of pharma sales and marketing, in various ways.

Those who are still trying harder to milk the traditional prescription demand generation process to the extent possible, despite its lesser and lesser yield, would need to introspect now, if they are able to. The time, and the prevailing pharma business environment probably demands jettisoning the conventional mindset faster, and search for the best-suited and most innovative modern tools to hit the bull’s eye. The young pharma professionals with a ‘can do’ spirit to effectively navigate through the strong headwind, are likely to emerge as early winners – provided of course their seniors and diehard ‘trainers’ don’t block their required elbow space.

‘Virtual Representatives’:

Deploying ‘Virtual Representatives (VR)’, well- supported by analytics for key target customers that QuintilesIMS is recommending, could be one among several other important examples in this area. VRs are appropriately equipped to take any doctor’s call online, for any product or related information, at any time the physicians find convenient – during or after their busy practicing hours.

The ‘push-pull’ balance between the doctors and the pharma players for such engagements can also be appropriately configured, and that too at a fraction of the current cost incurred to for similar purpose. This process and the technology used will be quite close to Chatbot, that has recently been introduced by an Indian bank, as illustrated above.

In conclusion:

Despite the rapidly changing business environment, pressing socioeconomic demands and a national dream for ‘Digital India’, the pharma industry hasn’t demonstrated any significant appetite for a change in the process of doing the business in the country. Individual players, by and large, have remained mostly consistent in strictly adhering to much tried processes and tools, though in their multiple permutations and combinations, especially in the domain of sales and marketing.

Other industries, like banking – also facing different types of tough challenges, are making efforts to stay ahead of the technology curve for operational excellence and greater consumer satisfaction. Fast scaling up of digital applications, such as Chatbots, Humanoids and the likes, vindicate this point.

Notwithstanding the availability of a large gamut of cutting-edge technological platforms, such as those based on AI, most players within the pharma industry continue to be rather slow in adopting these important and innovative resources. Could it be due to dearth of requisite talent, especially in pharma sales and marketing leadership within the industry? Well, many may argue so – some may also feel otherwise. Nevertheless, finding the right answer for a slow response of pharma in this domain still remains elusive.

That said, amid a gradually shifting paradigm, Indian pharma companies may wish to consider imbibing innovative technological interventions, such as, AI-based digital applications in sales and marketing. This has a great potential to successfully sail through many uncertainties, not just the latest one. It would also help changing the traditional ball game with a flexible, multitasking and contemporary one – right from conceptualizing – to charting out a customer-centric sales and marketing strategy – and then its immaculate execution, catapulting the company to a new and fascinating growth orbit altogether. Thus, staying ahead of the technology curve by the Indian pharma players, assumes critical importance for a long-term business sustainability, more than ever before.

By: Tapan J. Ray   

Disclaimer: The views/opinions expressed in this article are entirely my own, written in my individual and personal capacity. I do not represent any other person or organization for this opinion.

Define And Adapt To Reality: Two Pivotal Pharma Leadership Skills For Sustainable Excellence

Max DePree – a much quoted American businessman and author had once said: “The first responsibility of a leader is to define reality.”

While defining the reality within the drug industry today, it makes many industry leaders to ponder, despite so much of the good work done by the industry in various fields of pharma business, across the world, including India, why is the public perception on the overall leadership of this sector still so negative, and continue going south? Pharma leaders know the reasons too, but they seem to be still searching for the right set of answers without breaking the traditional mold of business.

Around end 2007, being concerned with this trend, the then Chairman of Eli Lilly reportedly expressed publicly what many industry observers have been saying privately for some time. He said: “I think the industry is doomed, if we don’t change”.

On the general apathy of breaking the traditional mold after having defined the business reality, an interesting article titled, “Healthcare Leadership Must Shift From A Cottage Industry To Big Business”, published on June 2, 2014 in Forbes, made some interesting observations, which are as relevant to India, just as many other countries of the world.

The article states that the ‘Healthcare Leadership’ has not kept up with the industry’s evolution to big business over the past 25-30 years – nor does it possess the required change management competencies to effectively lead and rapidly turn around an adaptive health care business model. Thus, unlike many other knowledge industries, pharma sector is still struggling hard to convert the tough environmental challenges into bright business opportunities. This leads to an important question: Being mostly inward looking, are these leaders failing to properly define reality around them, and therefore, not adapting to the critical external business environmental needs, soon enough?

Is current pharma leadership too inward looking?

From the available details, it appears that today, many inward-looking pharma leaders tend to ignore many serious voices demanding access to high quality medicines at affordable prices, especially for life threatening ailments, such as, cancer. Instead of engaging with the stakeholders in search of a win-win solution, global pharma leadership apparently tries to push the ball out its court with a barrage of mundane and arrogant arguments highlighting the importance of ‘drug innovation’ and hyping how expensive it is. Notwithstanding that by now, many people are aware of its frequent use, generally by the global pharma players, mostly as a veil, whenever required. Even then, many pharma leaders, instead of accepting the reality, continue to remain insensitive to the concerns not just of most patients, but other stakeholders and their respective governments also. This mindset further reinforces their inward-looking and self-serving image. This brings to the fore the key issue: Is this high time to pass the baton to a new breed of pharma leaders?

In the above backdrop, this article dwells on some intrinsic issues involved with the leadership puzzle of the industry, as it were. Thereafter, it deliberates on the importance of making some easy self-tests available to the young and especially the millennial pharma professionals, to facilitate them to self-discover themselves in this space, and that too at an early stage of their professional career, as they try to understand and define the business and environmental realities facing the industry.

Leadership skills are difficult to find:

Focusing on the pharma industry, I would say, especially in the pharma sector, leadership skill in all its functional areas though is considered as the most important one, but are equally challenging while identifying the right persons.

The 20th Pharma CEO Survey, March 2017 of PwC, vindicates this point. The survey covered 89 pharma CEOs from 37 countries. Nearly all the Pharma CEOs participating in this survey picked out leadership as the most important for their organization, giving it the top spot, closely followed by problem-solving, creativity and innovation, all bracketed in the second, with collaboration and adaptability occupying the equal third rank, as follows:

Relative importance of skills in pharma industry Skill sets Respondents answering somewhat difficult or very difficult to get each one of these
1. Leadership 79
2. Creativity & Innovation 75
3. Emotional intelligence 72
4. Adaptability 63
5. Problem-solving 55

Over two-thirds of the CEOs face difficulty in recruiting people with the requisite skills that they consider most important to their organization, such as, leadership, problem-solving, and creative skills, the report highlighted. For further deliberation hereunder, I shall pick up the top one – the leadership skill for the pharma industry, as I see it.

The age-old question – ‘Are leaders born or made?’

A critical question that is often asked even today – ‘Are leaders born or made?’ The question keeps coming as some enthusiasts continue to argue that successful leaders are born with visible or apparently invisible leadership traits.

Are leaders born?

To answer this question, let me quote an example. The Management Study Guide (MSG), well-articulated an approach to the study of leadership known as the ‘Great Man Theory’, giving examples of the great leaders of the past, such as, Alexander the Great, Julius Caesar, Napoleon, Queen Elizabeth I, Abraham Lincoln and Mahatma Gandhi. They all seem to differ from ordinary human beings in several aspects, possessing high levels of ambition coupled with clear visions of precisely where they want to go.

Added to these examples are many top business executives, sports personalities, and even contemporary politicians, who often seem to possess an aura that sets them apart from others. These persons are cited as naturally great leaders, born with a set of personal qualities that made them effective leaders. Thus, even today, the belief that truly great leaders are born, is not uncommon. Thus, according to the contemporary theorists, leaders are not like other people. They do not need to be intellectually genius or omniscient prophets to succeed, but they should certainly have the ‘right stuff’, which is not equally present in all people, MSG highlights.

Even today, some continue to believe in the ‘Great Man Theory’, regardless of many well carried out research studies of the behavioral scientists establishing that it is quite possible for individuals becoming leaders through various processes, such as, self-learning, keenly observing or working with some good leaders, following their advices, training, and practicing the experiences thus gained in one’s real life.

Are leaders made?

Just as above, to answer this question, as well, I would cite another important example.

A September 21, 2016 article titled, “What Science Tells Us About Leadership Potential”, published in the ‘Harvard Business Review (HBR)’, while answering the question ‘who becomes a leader’, stated as follows:

“Any observable pattern of human behaviors is the byproduct of genetic and environmental influences, so the answer to this question is ‘both’.  Estimates suggest that leadership is 30%-60% heritable, largely because the character traits that shape leadership - personality and intelligence - are heritable. While this suggests strong biological influences on leadership, it does not imply that nurture is trivial. Even more-heritable traits, such as weight (80%) and height (90%), are affected by environmental factors. Although there is no clear recipe for manipulating the environment in order to boost leadership potential, well-crafted coaching interventions boost critical leadership competencies by about 20%–30%.”

What would a young pharma professional do in this situation?

The current breed of top leaders would continue grooming and promoting mostly those who fit their profile, while in the family owned businesses succession usually takes place from within the family. The situation is no different in the pharma industry. However, various studies indicate that millennial professionals with leadership traits will develop themselves.

Keeping this in mind and, at the same time, going by the above HBR article, I would tend to accept the dictum that, “Any observable pattern of human behaviors is the byproduct of genetic and environmental influences”. Thus, for identifying and then honing leadership skills in the pharma business, just as many other industries, I would prefer the process of dovetailing the heritable leadership traits with various environmental influences.

An ambitious pharma professional with high aspiration to make a difference in the organization that the individual represents, would obviously wonder what the way forward for him to achieve the goals. In my view, an honest self-test is the first and basic move in this direction.

The self-test:

Taking a cue from the article titled “Strategic Leadership: The Essential Skills”, published in the January-February 2013 issue of The Harvard Business Review (HBR), I would suggest that the young professionals may wish to ask themselves the following important questions:

  • Do I have the right networks to help myself see opportunities before competitors do?
  • Am I comfortable challenging my own and others’ assumptions?
  • Can I get a diverse group to buy into a common vision?
  • Do I learn from mistakes?

The answer to each of these ones should be clear and honest, as one doesn’t need to disclose those answers to anyone else. Nonetheless, by following this process, a young professional gets a clear view of where he or she stands in each of these important areas, which cover some of the basic traits of a leader.

The leadership package:

Irrespective of whether an individual has some heritable leadership traits or not, the above self-test would reveal a person’s strengths and weaknesses, help address the deficits and optimize the full portfolio of leadership skills, independently or otherwise.

Nevertheless, it is important to bear in mind, as several research studies have already established, though leadership skills are important and difficult to find, a few other salient skills such as, ability to apply in real life a creative and innovative mindset, supported by high emotional intelligence or emotional quotient (EQ) are also critical. This is because, together these offer the all-important leadership package for an all-round successful leader.

Should pharma leadership be eclectic?

I guess so, as there does not seem to be any better alternative either. Thus, I reckon, traditional pharma leadership needs to be eclectic. It has still got a lot to learn from other industries too. Let me give a relevant example here – to speed up development of electric cars by all manufacturers, the Cofounder and Chief Executive Officer Elon Musk of Tesla Motors has reportedly decided to share its patents under ‘Open Source’ sharing of technologies with all others. Elon Musk further reiterated: “If we clear a path to the creation of compelling electric vehicles, but then lay Intellectual property (IP) landmines behind us to inhibit others, we are acting in a manner contrary to that goal.”

In the important ‘green’ automobile space, this is indeed a radical, gutsy and an exemplary decision to underscore Tesla Motor’s concern about global warming.

Why such type of leadership is so rare in the global pharma world, even today? Besides sanctimonies, as these appear, why the global pharma leaders are not taking similar large scale initiatives for drug innovation, especially in the areas of difficult diseases, such as, Cancer, Alzheimer’s, Multiple Sclerosis and Metabolic disorders, just to name a few? For this purpose, pharma organizations would require mettlesome change agents who can break the traditional mold –new leaders of the millennial generation having a different business outlook altogether, could possibly do so.

Becoming a change agent:

Today, more than ever before, the ultimate goal of pharma leaders requires moving beyond making more money to satisfy the shareholders and stock markets. It also needs to include the requirements of society, in general, more than what mandatory CSR demands. This is palpable today, as many stakeholders vehemently questioning the business game plan of many pharma players. Would this situation change? I don’t know, but it should, which prompts a change in the overall quality of pharma leadership, at all levels. I have had reason to believe that a good number of bright, millennial pharma professionals look for empowerment to discover themselves early. Right at that stage, they also need to chart a road map for self-development, which would facilitate attaining their professional goals, quite in sync with the broad societal expectations, as they move on in life.

New pharma leadership would require greater focus on ethics and engagement:

While pharma industry leaders, in general, have been impressive articulators of all right things that need to happen, ‘Talking the Talk’ and ‘Walking the Walk’ in the frontiers of business ethics, values and shared goals are found wanting in many of them. These articulations are probably used to run expensive global ‘Public Relations (PR)’ campaigns, lobbying and advocacy initiatives in the corridors of power.

What else then could possibly be the reason for such perception gap that this great industry has allowed to increase, over a long period of time? Could it be that many pharma leaders have not been able to adequately adapt themselves to the demands of the changing healthcare environment and the needs of various stakeholders in this sector? Is the leadership, therefore, too archaic and it’s a time for a change?

Thus, unlike the current pharma leadership, the new age leadership needs to be ethically grounded, and engage all stakeholders effectively in a transparent manner with impeccable processes of governance involving all areas of business. Such leaders may not be know-all individuals in the pharma business, but must possess a clear vision of where they want to lead the company to, and don’t slip back, especially in terms of public image and meeting patients’ expectations.

In conclusion:

Pharma business in modern times faces rapidly changing stakeholder expectations, which are generally difficult to predict well in advance. Thus, today’s pharma leaders require to adapt their strategic approach and the tactical game plans accordingly for business excellence in an inclusive manner, and simultaneously try to shape the environment to the extent possible.

There is a growing expectation from the pharma leaders to do business by imbibing a caring outlook towards the society, where it operates. Spending time and money to transplant the past practices in the changed environment, or continuing with the traditional business approaches, I reckon, is a no-win game today.

Thus, there arises a need to help the young pharma professionals, from the early stages in their professional life, for shaping up as the chief change agent in the organization that they would lead. Even after reaching where they wanted to reach, these leaders should keep studying on a continuous basis, various other successful leadership styles, approaches and visions, to splice them into a more productive strategic approach for the business or functional areas that they lead.

This new breed of leaders would also require defining the reality prevailing in the industry on an ongoing basis, to pave the way for a glorious future for their respective organizations. This effort would call for regular and effective engagement with all the stakeholders through various digital and other platforms. The critical question that the new pharma leadership should never forget to continually ask themselves: “How can my organization provide better access to high quality and effective medicines to most patients along with achieving commercial excellence in business?”

Properly defining and quickly adapting to associated environmental realities with a creative mind, requisite emotional intelligence and ethical business practices, would call for coming out of the zone of comfort with promptness. These, I reckon, would be the two pivotal success factors for new pharma leaders for inclusive and sustainable success in business, as the industry moves on.

By: Tapan J. Ray

Disclaimer: The views/opinions expressed in this article are entirely my own, written in my individual and personal capacity. I do not represent any other person or organization for this opinion.

Relevance of Artificial Intelligence In Creative Pharma Marketing

Keeping pace with the challenge of change globally, the macro environment in the pharma business is also undergoing a metamorphosis. This includes areas, such as, strong product pricing pressure, dwindling new product pipelines, increasing operating expenses, stringent regulatory requirements, rising stakeholder expectations, and several others. All these developments collectively, are making the drug companies, both global and local, feel the tailwind of various intensities, in their efforts to achieve the corporate financial goals, more than ever before.

Despite this continuous change, most pharma players’ overall strategic business models to meet with the increasing economic expectations of the shareholders, other investors and the stock markets, have hardly undergone any path breaking, radical, or disruptive advancement, just yet. This includes even the most critical interface between an organization and the consumers – pharma sales and marketing.

That said, it is not uncommon, either, to witness some sporadic initiatives of major business process reengineering with sophisticated digital applications. Interestingly, all these measures are mostly replacements or for realignment of the same age old, and traditional strategic pharma sales and marketing models. Most of these are aimed at adding more speed and accuracy to the same business core process, along with ensuring greater management information and control to support the decision making process.

Despite this palpable environmental shift, general inertia within the pharma industry to respond to all these, with commensurate strategic game plans of surgical accuracy, is glaring. Currently, the general response to this transformation is mostly reactive and traditionally defensive in nature, rather than proactive, as the overall business environment around the industry keep becoming increasingly demanding. Most pharma players may not, but the time keeps galloping ahead, offering a mind boggling rapid advances in disruptive technological innovations – the potential game changers for its several business domains.

In the midst of such all-embracing changes, yet another disruptive technology – ‘Artificial Intelligence (AI)’, is prompting many business leaders to step on to a brand new paradigm, making use of AI to the extent required, especially, while preparing a detail strategic roadmap for the business with high precision.

A clear intent to seize this moment is now visible in many industries, though in varying degrees and scale, but surely it is happening. This is vindicated by the gradual increase in demand for AI, across a wide variety of its application areas.

Marketing to turn upside down?

On October 26, 2016 an article published in ‘The Huffington Post’ on how AI could ‘Turn the Marketing World Upside Down’ indicated its disruptive impact on the way innovative marketing strategies are conceived, created and implemented on the ground.

The article gave an interesting example of how paradigm shift follows a predictable pattern of development that starts with substitution, followed by augmentation, modification, and finally redefinition.

For example, the evolution of today’s smartphones also followed the same pattern, as follows:

  • First replaced simpler landline phones
  • Then adapted with the addition of a camera
  • And finally redefined “phone” altogether, not just by replacing cameras, pagers, and many functions of personal computers, but by being able to perform with great precision an incredible number of various other serious requirements, well supported by related digital apps.

With the application of AI in marketing, the conventional ball game right from conception, to charting out and execution of marketing strategies, will be catapulted to a new and fascinating orbit altogether. I have no intent to romanticizing it. This is going to happen sooner than later, as we move on.

Artificial Intelligence (AI):

In a simple and commonly understandable way ‘Artificial Intelligence (AI)’ can be explained as the theory and development of computer systems, which are able to perform tasks normally requiring human intelligence, such as, machine learning, visual perception, image processing, speech recognition, decision-making, and language processing, besides many others.

In the Hollywood film industry, several sci-fi movies have already been made, based on AI as the core theme. Some of these international blockbuster films are ‘The Terminator’, ‘Transcendence’, ‘The Matrix’, ‘Ex Machina’, ‘Ex Machina’ or even ‘2001: A Space Odyssey’, among many others.

Some concern, but…:

Alongside, a serious concern has also been expressed by some global icons, that the evolution of AI could reach a dangerous threshold, where mankind will no longer remain in control of the creation of its own progeny, besides other living beings. This could, as they believe, jeopardize the continuity of an entire civilization, at least, in its present form.

In 2014, globally acclaimed Professor Stephen Hawking commented in an  interview with the BBC: “Humans, limited by slow biological evolution, couldn’t compete and would be superseded by A.I.”

In fact, in July 2015, Professor Hawking reportedly joined Elon Musk, Steve Wozniak, and many others, warning that AI can potentially be more dangerous than nuclear weapons.

In the same year, even Bill Gates, co-founder of Microsoft, reportedly expressed his concerns, saying, “I am in the camp that is concerned about super intelligence…”

On the other hand, despite such apprehensions, AI based technology keeps evolving at a rapid pace, with the funding in AI research taking giant leaps forward. The technology has already found its cutting edge extensive applications in several warfare. We now hear almost every day about unmanned drones not just doing defense surveillance, but destroying strategic targets with jaw-dropping precision. Or for that matter, use of robots has become rather common to diffusive explosive devices of various kinds, intensity, and planted in important places to kill people. As reported by the media, ‘autonomous and self-aware robots to diminish the need for human soldiers to risk their lives.’

Google’s driverless cars also use similar AI technology offering advanced analytics-based algorithms, machine learning and deep learning processes, which could well be another game changing example in this area.

The benefits far outweigh the risks?

Be that as it may, the benefits of AI seem to far outweigh the risks, in various areas. This includes its strategic applications in the pharma industry.

This gets vindicated by the February 2016 research report of ‘Markets and Markets’ (claimed as the world’s second largest firm in publishing premium market research reports, per year), which estimated that AI market would record a turnover of around US$ 5.05 Billion by 2020, growing at a CAGR of 53.65 percent between 2015 and 2020. This market is currently dominated by the ‘Machine Learning’ technology, as it provides the computers with the ability to learn without being explicitly programmed, and are capable of updating themselves when exposed to new data.

Some of the key players operating in the artificial intelligence market are IBM Corp. (U.S.), Microsoft Corp. (U.S.), Google Inc. (U.S.), IPsoft (U.S.), FinGenius Corp. (U.K.), Rocket Fuel Inc. (U.S.), Mobileye N.V. (Israel), Kensho Technologies, Inc. (U.S.), Sentient Technologies (U.S.), and Zephyr Health (U.S.), the report revealed.

AI in pharma:

Over the last decade, AI is being increasingly used by various industries, as a key support to the strategic decision making process, in various areas of business. Understandably, in pharma its use has been rather limited, as on date. Nevertheless, there are several key domains within the pharma industry, where effective use of AI has the potential to be a critical performance enhancer. These areas include, not just in discovery research, or in clinical trials, or in sales and marketing, but also in setting the right strategic direction for the company.

However, in this article, I shall focus mainly on the application of AI in pharma marketing.

AI in pharma marketing:

Although AI is now being sparsely used, it is expected to be more widely used in pharma research and development. It also shows tremendous potential in developing creative sales and marketing strategies, with great accuracy.

So far, pharma marketing strategies are based more on the qualitative data, some traditional quantitative data, and a huge dose of marketers ‘gut feel’. It continues to happen, when the world, including India, is moving towards innovative data driven decision models. If one chooses to, now a pharma marketer also can make effective use of an abundantly available wide variety of quality data to feel the pulse of the markets, consumers and any identified issues, with great precision. Thereafter, based on these real life hard facts, the team needs to put in place for implementation, with an open and innovative mind, a creative sales and marketing game plan, to achieve the set goals.

Would that mean, a pharma marketer should necessarily be an expert in a huge volume of data analysis? I don’t guess so. ‘Machine Learning’, ‘Deep Learning’ and other analytics-based processes of AI can help them enormously to do so.

AI based analytics has now been proved to be far more reliable than any human analysis of the humongous volume of different kinds of quality data. Doing so is even beyond the capacity of any conventional computers that a marketing professional generally uses for this purpose.

The prime requirement for this purpose, therefore, is not just huge volume of data per se, but good quality of a decent volume of data, that a state of the art analytics would be able to meaningfully deliver, that is tailor made to meet the specific requirements of pharma marketers to create a cutting edge marketing strategy.

Areas of AI use in pharma – some examples:

AI will be extremely useful to arrive at the most effective strategic options available, with pros and cons, to achieve the core sales and marketing objectives of the organization, both long and short term.

It can also add immense value right at the decision making stages to determine the key ingredients of an effective strategic plan in a number of critical areas, such as:

  • Arriving at the optimal product-portfolio-mix with the right expense tag attached to each brand
  • Deep learning about market dynamics, customer behavior and their interplay
  • Matching unmet customer needs with enhanced and differentiated value offerings – both tangible and intangible
  • Effective bundling of brand offerings and associated services for each patient segment
  • Selecting the right mix of communication channels, including social media, to ensure maximum productivity in reaching each category of the target audience
  • Detailed strategic blueprint for each type of stakeholder engagement, along with related value offerings
  • Arriving at the best possible resource-mix with the available budget
  • Real-time monitoring of each strategic action steps, consistently, making quick changes on the run, if and when required

Pharma AI platforms are already available:

There are a number of AI platforms now available for the pharmaceutical companies, across the world. For example, in September 2015, by a Press Release, Eularis – a leading provider of next-generation advanced marketing analytics to the Pharma industry, announced the release of the E-VAI, the latest development in sophisticated machine learning technology delivering next-generation analytics and decision making for Pharma marketers globally.

Another recent example of AI in this area, as well, is ‘Salesforce Einstein’. It delivers advanced AI capabilities in sales, service, and marketing, and enables anyone to build AI-powered apps that get smarter with every interaction. According to Salesforce, it will enable everyone in every role and industry to use AI to be their best.

Conclusion:

The use of AI in pharma is still in its nascent stage today. However, for a sustainable business excellence in its various domains, AI is increasingly proving to be of great relevance, now and also in the future. Sales and marketing is one such domains.

With the passage of time, both the macro and micro pharma business operating environments are changing fast, primarily driven by changing expectations of stakeholders, the public at large, and disruptive algorithmic technical innovations, based on advanced science, statistics and mathematics.

The scope to effectively utilize the full potential of advanced algorithmic technical tools, is huge. It is easier now to capture a massive volume of pharma related high quality raw data of different kinds, for tailor-made innovative analysis, with the help of AI based analytics, while creating cutting-edge strategic game plans.

Nonetheless, pharma players apparently continue to chart the same strategic frontier where there are many footsteps to follow. Many of them have restricted themselves to no more than digitally re-engineering the same overall business processes that they have been already following, since long. Just a few of them are making use of the leading edge analytics involving AI, such as ‘Machine Learning’, ‘Deep Learning’, ‘Visual Perception’, ‘Image Processing, besides many others, which can be more ‘patient-centric’ and at the same help deliver a strong business performance.

Thus, quicker adaptation, and thereafter continuous scaling up applications of high quality AI based analytics in creative pharma marketing, are not just of immense relevance today, they also bring with them the commensurate potential for sustainable excellence in financial performance of the organization, fueled by critical early mover advantage.

By: Tapan J. Ray   

Disclaimer: The views/opinions expressed in this article are entirely my own, written in my individual and personal capacity. I do not represent any other person or organization for this opinion.