Anand Subramanian
Bio
Anand Subramanian is an technology expert and AI enthusiast currently leading marketing function at Intellectyx, a Data, Digital and AI solutions provider with over a decade of experience working with enterprises and government.
Stories (8)
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AI Object Detection: Advancements in Deep Learning Models
In the ongoing modern era, artificial intelligence has quickly transformed numerous fields. At this juncture, object detection is the most revolutionary application. Through object detection you can quickly identify and classify objects in the form of images and videos playing a critical role in medical imaging, autonomous driving, and surveillance. Even recent advancements have taken place in the field of deep learning. This advancement enhanced the efficiency and accuracy of the object detection models. This blog will talk about the latest development that took place in the evolution of deep learning models in the field of object detection and its latest breakthrough.
By Anand Subramanian9 months ago in Writers
7 Trends Shaping AI-Driven Application Development in 2025
Looking forward to 2025, the future of AI-powered application development is set for a revolutionary shift, transforming how software is developed and used. As machine learning and natural language processing continue to improve, developers will use AI as a means and a teaming partner to assist them in the coding environment. Forward-looking companies are choosing to hire artificial intelligence developers to embed these capabilities into next-gen software systems and stay ahead in innovation. Picture this: AI algorithms that can study user behavior in real-time and change application features dynamically to improve user experience and engagement.
By Anand Subramanian9 months ago in Writers
Cloud Computing Essentials: Unlock Benefits for Modern Businesses
In the fast-paced world of digitalisation, businesses often face a common challenge, i.e., how to innovate faster while staying cost-effective and resilient. One of the major solutions to this problem is nothing but cloud computing. In other words, cloud technology further transformed the way an organisation operate, offering scalable resources, flexible infrastructure, and unprecedented agility. Understanding the needs of cloud computing is essential if you plan to grow and be successful in the land of modern business. This blog talks about the fundamental concept of cloud computing, its benefits in modern business.
By Anand Subramanian9 months ago in Writers
How Cloud-Based Logistics Solutions Improve Real-Time Tracking and Visibility?
Nowadays, in the fast-moving world of logistics, it is timing and transparency which is considered as everything. In other words, be it tracking shipments across the border, or monitoring one of its fleet performance, businesses need real-time data to stay competitive in the market. It is where cloud-based logistics solutions play a critical role. Therefore, it revolutionizes how organizations monitor, manage, and optimize their supply chains at once.
By Anand Subramanian9 months ago in Writers
Top Open Source Large Language Models (LLM) 2025
Looking forward to 2025 and beyond, it’s evident that open-source large language models, or LLMs, are undergoing a big change. Clearly, advancements in AI and machine learning are really pushing enterprises towards growth. Simply, open-source LLMs are gaining a lot of traction these days. Why? mostly because they are accessible, transparent, and developed in a collaborative way.
By Anand Subramanian9 months ago in Chapters
Databricks vs. Snowflake: Which is Better for Data Engineering?
As you know rapid evolution is taking place in data engineering. Therefore, two platforms dominate the world of data engineering is that of Databricks vs Snowflake. You can easily manage and process large-scale data through both of these technologies. In other words, both of these technology provide robust solutions, but they do cater to unique needs and workflows. Through this blog, you can decide which platform best suits your data engineering needs. This comparison further aids you in making an informed choice at once.
By Anand Subramanian10 months ago in Chapters
Model Distillation for Enterprise LLMs: Deploying Smarter & Leaner AI
At times, organizations integrate large language models into their workflows. Therefore, challenges like latency, computational costs, and model efficiency have become pressing. At this juncture, model distillation emerged as a viable solution that enables organizations to deploy smaller yet highly capable AI systems that not only maintain performance but reduce extravagant resource consumption. In this blog, we will talk about model distillation for enterprise LLMs, its benefits, techniques, and best practices for deploying leaner and smarter AI.
By Anand Subramanian10 months ago in Writers
How Healthcare CIOs Are Streamlining AI Agents with Agentic AI?
In the recent years or so, it is believed by the experts that the healthcare industry is going through a massive digital transformation. Even though it is considered by some, that it is the AI-driven solution which is at the forefront of this sudden evolution. Some also believe that healthcare CIOs are now taking advantage of Agentic AI, just to optimize and streamline AI agents. In turn, they ensure improved form of patient care, operational efficiency, and compliance with overall regulations.
By Anand Subramanian10 months ago in Writers
