Social Readings

  Introduction With the advent of artificial intelligence (AI),  aspect of humans and business is facing the impact. AI is steadily chan everyging how industries work.  The pharmaceutical sector is no different; AI is bringing new ways to solve old problems. From speeding up drug discovery to making clinical trials more efficient, AI is creating real improvements. But it's not all smooth. There are issues around data safety, regulations, and the role of human workers. In this blog, I will try to explain how AI is affecting pharma today, with insights from experts. Pharma Is Slow, Expensive, and Risky One of the biggest issues with the pharma industry, which is also the core also is that developing a new drug is not easy. On average, it takes around 10-15 years and costs more than billions to bring one drug to market. Secondly, most drugs fail during the clinical trial phase. Only about 10% of drugs that enter clinical trials actually get approved. Other operational issues...

 Sales have never been easy; today, sales and service teams are loaded with tedious tasks. A sales rep might spend half the day drafting emails and logging data, and only a few hours selling. A support agent might hunt through a dozen systems to answer a simple customer question. This is incredibly inefficient. Salesforce reports that only about 28% of sellers expect to hit their quotas — a sign that too much time is wasted on data recording and reporting. Marketing teams face similar struggles, cranking out copy and reports instead of focusing on strategy. The result? Missed opportunities, unhappy customers, and exhausted employees. The pain is real. When teams are tied in routine work, deals slip away, and customers grow frustrated. Without help, employees spend hours on low-value tasks, leaving little room for creativity or relationship-building. A Salesforce survey found that 71% of marketers believe generative AI could “eliminate busy work,” saving them roughly five hours per ...

  I ntroduction  Artificial intelligence has impacted every aspect of humans and businesses, and will continue to do so. Here in this article, we will explore the impact of AI in real estate valuations. In a previous blog, we have already seen how AI is bringing in the change and impacting the real estate sector.  We will see how AI is impacting valuations, its benefits, current challenges, and the future potential of intelligent systems in enhancing decision-making and operational efficiency in the sector. Traditionally, the real estate industry has depended on human expertise, historical market trends, and economic indicators for property valuation and investment analysis. Today, artificial intelligence (AI) is transforming these practices by introducing data-driven insights, automated processes, and advanced algorithms. AI-powered property valuation leverages machine learning, predictive analytics, and big data to deliver highly accurate property assessments. Similarly...

  The global real estate sector is a dynamic industry  consisting of residential, commercial, industrial, and land properties.   The sector is growing rapidly and  embracing technological changes, which are the reason we have smart homes. Artificial intelligence (AI) has been making waves across multiple industries, and real estate is no exception. Traditionally, the real estate sector has been known for its reliance on manual processes, personal interactions, and market intuition. However, with the advent of AI, the industry is undergoing a significant transformation, enabling businesses to make more data-driven decisions, optimize operations, and enhance customer experiences. The global real estate technology market, often referred to as " PropTech, " is rapidly evolving and transforming the way real estate transactions and operations are conducted . Here are some key highlights: Market Size: The market is projected to grow significantly, with an estimated...