Data analytics is the process of examining data sets in order to draw conclusions about the information they contain, increasingly with the aid of specialized systems and software. Data analytics technologies and techniques are widely used in commercial industries to enable organizations to make more-informed business decisions. Artificial Intelligence (AI) is where we first heard the term cognitive technology. Technology experts began seeing the benefits of AI among consumer and business application. Amazon's Alexa and chatbots are two that come to mind that is now ubiquitous in homes and businesses.

Whether your organization has already begun the necessary process of incorporating data analytics and artificial intelligence into pharmacy operations or it is undergoing a due diligence project to decide if it's time to implement a pharmacy technology upgrade initiative, one thing is for sure: Data analytics and artificial intelligence will have a tremendous impact on how pharmacies operate, both today and well into the future. Pharmacies that are early adopters of such technology will have strategic advantages over those pharmacies that choose to delay. Pharmacies that embrace pharmacy technology could generate a lot more money than pharmacies that don't. According to McKinsey (via TechEmergence), "Big data and machine learning in pharma and medicine could generate a value of up to $100 billion annually, based on better decision-making, optimized innovation, improved efficiency of research/clinical trials, and new tool creation for physicians, consumers, insurers and regulators." Here are some ways that data analytics and artificial intelligence are changing the pharmaceutical industry.

Our world today is surrounded with the ever-changing modern technologies and endless data exploration within our reach. On this constant development and the revolution of big data are evolving the human race on Artificial Intelligent (A.I.) dependence for a better managed environment and the convenience in life. A.I. is the key driver of the fourth industrial revolution of new technologies that bridge the physical, digital and biological worlds. With the enormous explosion of data that powering this rapid growth rate of A.I. in recent decades, it will have a continuous increased impact on the economy and society to drive the business transformation in coming years. Like many other industries that have already successfully adopting A.I. into their everyday businesses, now is the best time for the logistics sector shifting its traditional operating model to a new class of intelligent assets and operational paradigms.

To answer this question, you need first of all few clues about my background. I am Rachid Oukhai, founder of Upsilon, Peculium (Data). I started working in computer science one Monday morning at 8 a.m. I was so excited about the idea of getting into the professional world of IT, especially at a telecommunication services provider whose advertisements flooded the media landscape at the time. Young and full of enthusiasm, I thought naively that I was going to take part in big decisions, embark on adventures.

Pharmacies that are early adopters of such technology will have strategic advantages over those pharmacies that choose to delay. Pharmacies that embrace pharmacy technology could generate a lot more money than pharmacies that don't. According to McKinsey (via TechEmergence), "Big dataBig Data describes data collections so big that humans are not capable of sifting through all of it in a timely manner. However, with the help of algorithms it is usually possible to find patterns within the data so far hidden to human analyzers. Here are some ways that data analyticsData analysis is simply put the study of data in order to take better informed decisions. All business decisions should be made with the best information available, data analysis tries to provide this information through different algorithms and statistical techniques. With the prevalence of the internet, transactional-based pharmacies are at a distinct disadvantage. Patients can simply choose to fill prescriptions at the cheapest and most convenient place. As a result, pharmacies that want to cultivate long-term relationships and revenue need to find a way to provide more value. The Royal Pharmaceutical Society indicates that pharmacists "should shift their focus away from the distribution of medicines towards providing a broader range of services." This means more personalized treatment. Pharmacies need to become health management centers where patients can get help managing their long-term health conditions. It is no longer enough for pharmacists to simply fill prescriptions. Since patients can go online to get prescriptions filled, there needs to be more service provided by pharmacies to attract customers. Artificial intelligence can help by providing more personalized treatment recommendations that pharmacists can give to patients. According to Hungarian medical doctor Bertalan Mesko, "Instead of developing treatments for populations and making the same medical decisions based on a few similar physical characteristics among patients, medicine has shifted toward prevention, personalization and precision.

Whether your organization has already begun the necessary process of incorporating data analytics and artificial intelligence into pharmacy operations or it is undergoing a due diligence project to decide if it's time to implement a pharmacy technology upgrade initiative, one thing is for sure: Data analytics and artificial intelligence will have a tremendous impact on how pharmacies operate, both today and well into the future. Pharmacies that are early adopters of such technology will have strategic advantages over those pharmacies that choose to delay. Pharmacies that embrace pharmacy technology could generate a lot more money than pharmacies that don't. According to McKinsey (via TechEmergence), "Big data and machine learning in pharma and medicine could generate a value of up to $100 billion annually, based on better decision-making, optimized innovation, improved efficiency of research/clinical trials, and new tool creation for physicians, consumers, insurers and regulators." Here are some ways that data analytics and artificial intelligence are changing the pharmaceutical industry.

Whether your organization has already begun the necessary process of incorporating data analytics and artificial intelligence into pharmacy operations or it is undergoing a due diligence project to decide if it's time to implement a pharmacy technology upgrade initiative, one thing is for sure: Data analytics and artificial intelligence will have a tremendous impact on how pharmacies operate, both today and well into the future. Pharmacies that are early adopters of such technology will have strategic advantages over those pharmacies that choose to delay. Pharmacies that embrace pharmacy technology could generate a lot more money than pharmacies that don't. According to McKinsey (via TechEmergence), "Big data and machine learning in pharma and medicine could generate a value of up to $100 billion annually, based on better decision-making, optimized innovation, improved efficiency of research/clinical trials, and new tool creation for physicians, consumers, insurers and regulators." Here are some ways that data analytics and artificial intelligence are changing the pharmaceutical industry.

Whether your organization has already begun the necessary process of incorporating data analytics and artificial intelligence into pharmacy operations or it is undergoing a due diligence project to decide if it's time to implement a pharmacy technology upgrade initiative, one thing is for sure: Data analytics and artificial intelligence will have a tremendous impact on how pharmacies operate, both today and well into the future. Pharmacies that are early adopters of such technology will have strategic advantages over those pharmacies that choose to delay. Pharmacies that embrace pharmacy technology could generate a lot more money than pharmacies that don't. According to McKinsey (via TechEmergence), "Big data and machine learning in pharma and medicine could generate a value of up to $100 annually, based on better decision-making, optimized innovation, improved efficiency of research/clinical trials, and new tool creation for physicians, consumers, insurers and regulators." Here are some ways that data analytics and artificial intelligence are changing the pharmaceutical industry.