Veeva CRM Innovation Guide

| August 29, 2018

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Veeva CRM MyInsights provides real-time information at the point of execution. Pre-built and custom data visualizations deliver tailored medical insights directly in Veeva Medical CRM. CRM MyInsights is an innovative data visualization capability that delivers the right information exactly when and where your teams need it. Field medical teams can easily plan and make decisions wherever they are without the need to aggregate data in a separate tool.

Spotlight

Bluefin Solutions

Part of Mindtree, Bluefin Solutions is a global consultancy and SAP partner, delivering business consulting, technology strategy and implementation and change, through award winning expertise in SAP, SAP HANA, Analytics, Digital, Mobile and Cloud. Bluefin works with organisations to challenge traditional ways of thinking and bring new ideas to life. Through our agile, collaborative approach, we help clients reduce costs, manage complexity and enable competitive advantage through technology.

OTHER ARTICLES

What Is The Value Of A Big Data Project

Article | April 7, 2020

According to software vendors executing the big data projects, the answer is clear: More data means more options. Then add a bit of machine learning (ML) for good measure to get told what to do, and the revenue will thrive.This is not really feasible. Therefore, before starting a big data project, a checklist might come in handy.Make sure that the insights gained through machine learning are actionable. Gaining insights is always good, but it is even better if you can act on this new knowledge.A shopping basket analysis shows which products are sold together. What to do with that information?Companies could place the two products in opposite corners of the shop, so customers walk through all areas and will find other products to buy in addition. Or they could place both products next to each other so each boosts the sales of the other. Or how about discounting one product to gain more customers?As all actions have unknown side effects, companies have to decide for themselves which action makes sense to take in their case.

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Bringing big data science to Africa

Article | March 24, 2020

Africa is set to establish its first big data hub, boosting knowledge sharing and information extraction from complex data sets.The hub will enable the continent to access and analyse timely data relating to the Sustainable Development Goals for evidence based decision making, says Oliver Chinganya, director of the Africa Statistics Centre at the United Nations Economic Commission for Africa (UNECA).According to a study, big data is impacting positively in almost every sphere of life, such as in health, aviation, banking, military intelligence and space science.

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Big Data Is Helping Us Fight The Coronavirus But At What Cost To Our Privacy

Article | April 9, 2020

In some ways at least, technology has been able to tell us more about how and where the virus is spreading. Mostly, this has involved creatively harnessing the power of big data using temperature readings from smart thermometers to detect COVID-19 hot spots, or aggregating cellphone location data to point to the areas of the country where people are staying home. But against a backdrop of debate between civil liberties and public health, we also need to be asking where the line is digitally: How much surveillance is acceptable in the service of the greater good.

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Man Vs. Machine: Peaking into the Future of Artificial Intelligence

Article | March 15, 2021

Stephen Hawking, one of the finest minds to have ever lived, once famously said, “AI is likely to be either the best or the worst thing to happen to humanity.” This is of course true, with valid arguments both for and against the proliferation of AI. As a practitioner, I have witnessed the AI revolution at close quarters as it unfolded at breathtaking pace over the last two decades. My personal view is that there is no clear black and white in this debate. The pros and cons are very contextual – who is developing it, for what application, in what timeframe, towards what end? It always helps to understand both sides of the debate. So let’s try to take a closer look at what the naysayers say. The most common apprehensions can be clubbed into three main categories: A. Large-scale Unemployment: This is the most widely acknowledged of all the risks of AI. Technology and machines replacing humans for doing certain types of work isn’t new. We all know about entire professions dwindling, and even disappearing, due to technology. Industrial Revolution too had led to large scale job losses, although many believe that these were eventually compensated for by means of creating new avenues, lowering prices, increasing wages etc. However, a growing number of economists no longer subscribe to the belief that over a longer term, technology has positive ramifications on overall employment. In fact, multiple studies have predicted large scale job losses due to technological advancements. A 2016 UN report concluded that 75% of jobs in the developing world are expected to be replaced by machines! Unemployment, particularly at a large scale, is a very perilous thing, often resulting in widespread civil unrest. AI’s potential impact in this area therefore calls for very careful political, sociological and economic thinking, to counter it effectively. B. Singularity: The concept of Singularity is one of those things that one would have imagined seeing only in the pages of a futuristic Sci-Fi novel. However, in theory, today it is a real possibility. In a nutshell, Singularity refers to that point in human civilization when Artificial Intelligence reaches a tipping point beyond which it evolves into a superintelligence that surpasses human cognitive powers, thereby potentially posing a threat to human existence as we know it today. While the idea around this explosion of machine intelligence is a very pertinent and widely discussed topic, unlike the case of technology driven unemployment, the concept remains primarily theoretical. There is as yet no consensus amongst experts on whether this tipping point can ever really be reached in reality. C. Machine Consciousness: Unlike the previous two points, which can be regarded as risks associated with the evolution of AI, the aspect of machine consciousness perhaps is best described as an ethical conundrum. The idea deals with the possibility of implanting human-like consciousness into machines, taking them beyond the realm of ‘thinking’ to that of ‘feeling, emotions and beliefs’. It’s a complex topic and requires delving into an amalgamation of philosophy, cognitive science and neuroscience. ‘Consciousness’ itself can be interpreted in multiple ways, bringing together a plethora of attributes like self-awareness, cause-effect in mental states, memory, experiences etc. To bring machines to a state of human-like consciousness would entail replicating all the activities that happen at a neural level in a human brain – by no means a meagre task. If and when this were to be achieved, it would require a paradigm shift in the functioning of the world. Human society, as we know it, will need a major redefinition to incorporate machines with consciousness co-existing with humans. It sounds far-fetched today, but questions such as this need pondering right now, so as to be able to influence the direction in which we move when it comes to AI and machine consciousness, while things are still in the ‘design’ phase so to speak. While all of the above are pertinent questions, I believe they don’t necessarily outweigh the advantages of AI. Of course, there is a need to address them systematically, control the path of AI development and minimize adverse impact. In my opinion, the greatest and most imminent risk is actually a fourth item, not often taken into consideration, when discussing the pitfalls of AI. D. Oligarchy: Or to put it differently, the question of control. Due to the very nature of AI – it requires immense investments in technology and science – there are realistically only a handful of organizations (private or government) that can make the leap into taking AI into the mainstream, in a scalable manner, and across a vast array of applications. There is going to be very little room for small upstarts, however smart they might be, to compete at scale against these. Given the massive aspects of our lives that will likely be steered by AI enabled machines, those who control that ‘intelligence’ will hold immense power over the rest of us. That all familiar phrase ‘with great power, comes great responsibility’ will take a whole new meaning – the organizations and/or individuals that are at the forefront of the generally available AI applications would likely have more power than the most despotic autocrats in history. This is a true and real hazard, aspects of which are already becoming areas of concern in the form of discussions around things like privacy. In conclusion, AI, like all major transformative events in human history, is certain to have wide reaching ramifications. But with careful forethought these can be addressed. In the short to medium term, the advantages of AI in enhancing our lives, will likely outweigh these risks. Any major conception that touches human lives in a broad manner, if not handled properly, can pose immense danger. The best analogy I can think of is religion – when not channelled appropriately, it probably poses a greater threat than any technological advancement ever could.

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Spotlight

Bluefin Solutions

Part of Mindtree, Bluefin Solutions is a global consultancy and SAP partner, delivering business consulting, technology strategy and implementation and change, through award winning expertise in SAP, SAP HANA, Analytics, Digital, Mobile and Cloud. Bluefin works with organisations to challenge traditional ways of thinking and bring new ideas to life. Through our agile, collaborative approach, we help clients reduce costs, manage complexity and enable competitive advantage through technology.

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