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By Chandra Shekhar Singh A full-Time employment economy is a state defined as one where there is zero unemployment, and all the resources are employed with 100% efficiency. Economists have long since established that this is a theoretical state and cannot be achieved. Thus, high employment with maximum possible efficiency is considered as the desired state. However, in the talent market, it becomes imprudent to take into consideration, that high employability is a culmination of many factors- absence of skill gap, equally proficient and available talent, lack of competition in...

By Mr. Manish Verma   In the ever-evolving landscape of e-commerce, technological advancements continuously redefine the sector's boundaries, promising unparalleled opportunities and efficiencies. Visionary breakthroughs are revolutionising the way organisations interact with customers. Examples include the seamless integration of augmented reality and virtual reality experiences, as well as the use of AI-powered chatbots and machine learning. Along with improving the shopping experience, these disruptive technologies also improve supply chains, expedite operations, and open up new channels for individualised customer interaction. Businesses that take advantage of these technical advancements could transform the...

By Amit Singh In the current digital landscape, cybersecurity teams across organizations face the formidable challenge of navigating through complex IT environments amidst skill shortages and increasing workloads. Large organizations are turning to in-house Security Operations Centers (SOCs) as a key strategy.  However, establishing and maintaining a SOC requires substantial investments in infrastructure, tools, technologies, and cybersecurity talent, further aggravating the challenge.  Traditional SOCs also struggle to scale operations to handle the rising volume of security alerts and incidents often relying on manual analysis that can lead to delays in...

By Mr. Abhishek Srinivasan With data becoming ubiquitous and spanning across user devices, on-premises servers, and many cloud environments, it’s becoming increasingly important for organizations to protect sensitive business and consumer data to maintain integrity, ensure business continuity, and prevent loss of customer trust. Data security shields data from unauthorized access, corruption, destruction, and theft. It’s a set of measures designed to safeguard sensitive information throughout data’s entire lifecycle, from creation and storage to use and eventual deletion. What makes data security important? Data security is more than adding new...

By Ashish Nayyar   Small and medium enterprises (SME) consistently play a crucial role in driving the global economy and generating employment opportunities worldwide, yet they continue to face challenges when it comes to securing credit. Use of new technologies, including AI is transforming the way banks and fintechs provide finance to these businesses. These AI-driven solutions are streamlining SME loan decisions, making the borrowing process more efficient, faster, and accessible. At the heart of AI-driven lending is data. Use of AI enables lenders to incorporate traditional as well as...

By Sushant Roy   The healthcare sector in India stands on the edge of significant change which is driven by the merging of advanced technology and limitless innovation. Artificial intelligence (AI) is at the forefront of this transformation by reshaping how healthcare is delivered ensuring that all citizens, regardless of where they are or their situation, can receive top-notch care. In this article, let's dive deep into the role of tech in healthcare: Understanding the Healthcare Landscape: India's healthcare ecosystem is characterized by a complex tapestry of challenges, ranging from...

By Dr. Swadeep Srivastava   Increasingly, Artificial Intelligence (AI) and Generative Artificial Intelligence (AGI) are getting sharper, sophisticated in supporting doctors and other medical professionals. The potential for AI in healthcare is huge, as it has the ability to apply problem-solving techniques that humans could not do alone or the process consumes time. Generative AI, on the other hand, refers to deep-learning models that can generate high-quality text, images, and other content based on the data they were trained on. Though AI and AGI have gone through many loops of...

Large Language Models (LLMs) are revolutionizing the way we interact with technology. As a result, SaaS vendors are vying for a competitive edge by integrating AI features, offering enterprises tools such as AI-based sales insights or coding co-pilots. LLM - A User, An Application or a Bit of Both? Traditionally, zero-trust security models have relied on a clear distinction between users and applications. Yet, LLM-integrated applications disrupt this distinction, functioning simultaneously as both. This reality introduces a new set of security vulnerabilities, such as data leakage, prompt injection, risky access to online...