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Inside this Issue 1. The Dead Sea Effect in Talent Management by K. Hariram How to avert the flight of top talent from your organization. 2. The Audit Mindset: The Key to Successful Implementation of Compliance Practices in Pharma by Diksha Fouzdar For companies to become and stay compliant, a thorough change in mindset is needed – from an adhoc approach to a systems approach. 3. Emotional Marketing: From ‘Needs’ to ‘Wants’ by Vivek Hattangadi Different emotions trigger different actions – a look into different emotional states and how they can be put to use in pharma marketing. 4. Top 20 Things Every Digital Health Marketer Should Know by Dr. Ashwin Bonde The importance of preparing for the next level of your career by acquiring the requisite knowledge, skills and attitude before you get there.

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The Government of India’s well-intentioned move to de-monetize currency notes of INR 500 and INR 1000, has been expected to cause near-term business disruptions across sectors. Within pharmaceuticals, this has implications for different stakeholders, ranging from pharmaceutical companies to distribution channel, patients & physicians. In an attempt to understand the effect of the announcement on the drug distribution network, QuintilesIMS conducted a survey across roughly 500+ chemists around the country. The objective was to understand short-term as well as potentially lingering effects of the demonetization move. Key points of investigation ranged from the immediate impact on individual chemist sales & patient footfall to value chain-related aspects such as credit cycles, supply levels, inventory stock levels, etc. as well as measures taken by retailers to manage the effect of the demonetization announcement. This document captures the essence of the study results

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Guest Editorial - Gender Gap in Indian Pharma - An Unaddressed Issue .............................................................................. Inside this Issue 1. A Salesforce Retention Strategy for Indian Pharma by K. Hariram A quantitative and qualitative approach to measuring and stemming the tide of attrition in pharma sales. 2. “I Am Waiting for the Day When Pharma Hires a CEO from a Tech Company” an Interview with Salil Kallianpur Salil Kallianpur – Executive Vice President – Primary Care at GSK shares his thoughts on Indian pharma in 2017 and beyond with MedicinMan. 3. 1st World Pharma Brand Managers Day by Prof. Suniel Deshpande and Vivek Hattangadi A report on the 1st World Pharma Brand Managers Day which began with a Pharma CEO Conclave. 4. Pharma L&D Beyond the Classroom by Diksha Fouzdar Real learning almost always takes place outside the classroom, but internalizing that in L&D requires a mindset change.

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Discord is a free app offering voice, video, and text chat functionalities, primarily catering to the gaming community. It serves as a hub for users to create and join servers tailored to their interests. Discord’s ecosystem comprises servers, each functioning as a distinct online community with its own channels dedicated to specific topics or activities. Users can engage in text-based discussions, voice calls, or video chats within these channels. Understanding Discord Servers Discord servers are virtual spaces where users congregate to interact, share content, and build communities. Servers may revolve around gaming, hobbies, interests, or fandoms, providing a platform for like-minded individuals to connect. Communication Features Discord offers a range of communication tools, including text channels for messaging, voice channels for real-time audio conversations, and video channels for face-to-face interactions. These features facilitate seamless communication and collaboration. What Does NSFW Mean? The acronym NSFW stands for “Not Safe For Work,” indicating content that may be inappropriate for professional or public settings. NSFW Content NSFW content encompasses material that is sexually explicit, violent, or otherwise graphic in nature. It often includes nudity, profanity, or depictions of sensitive topics.

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The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.

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Enterprise Knowledge’s Urmi Majumder, Principal Data Architecture Consultant, and Fernando Aguilar Islas, Senior Data Science Consultant, presented "Driving Behavioral Change for Information Management through Data-Driven Green Strategy" on March 27, 2024 at Enterprise Data World (EDW) in Orlando, Florida. In this presentation, Urmi and Fernando discussed a case study describing how the information management division in a large supply chain organization drove user behavior change through awareness of the carbon footprint of their duplicated and near-duplicated content, identified via advanced data analytics. Check out their presentation to gain valuable perspectives on utilizing data-driven strategies to influence positive behavioral shifts and support sustainability initiatives within your organization. In this session, participants gained answers to the following questions: - What is a Green Information Management (IM) Strategy, and why should you have one? - How can Artificial Intelligence (AI) and Machine Learning (ML) support your Green IM Strategy through content deduplication? - How can an organization use insights into their data to influence employee behavior for IM? - How can you reap additional benefits from content reduction that go beyond Green IM?

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St Marks Fronter Power Point

1. St. Mark’s Fronter INSET

2.

3.

4.

5. 1.Independent Learning View

6. 2.Homework View

7. 3.Hand In View

8. 4.Forums View

9. 5.Stickies View

10. 6.Surveys View

11. 7.Blogs View

12. 8.Monitoring and Assessment View

13. 9.Student Voice / Voting View

14. 10.Integrating video View