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 ...

  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...

  What Is Deep Tech? Deep tech, or deep technology, refers to the work of companies that develop groundbreaking innovations capable of surpassing existing technological benchmarks and pushing the boundaries of current capabilities. However, the definition of what qualifies as "deep tech" is continually evolving. As scientific and technological advancements accelerate, the criteria for what is considered cutting-edge and revolutionary also shift. Deep tech companies are often associated with fields like artificial intelligence, biotechnology, and quantum computing, but the category extends to industries such as agriculture, aerospace, green energy, and mobility. Some deep tech companies, like Moderna, Tesla, and Impossible Foods, have become household names. Others are turning science fiction into reality—examples include SpaceX’s Starlink internet satellites and Boston Dynamics’ humanoid robots. Regardless of the industry, deep tech companies focus on creating solutions to ad...