Rajat Khare on the Transformative Power of AI, Machine Learning, and DeepTech

The future isn’t just digital—it’s intelligent, interconnected, and driven by data. While smartphones and tablets may be the most visible symbols of tech adoption, the true revolution lies beneath the surface—in the systems, algorithms, and devices that are quietly transforming the way we live, work, and interact.

Today, data is the new currency. Every industry—whether it’s healthcare, transportation, or retail—relies on insights drawn from data to craft better strategies and enhance decision-making. This is largely facilitated by the Internet of Things (IoT), which powers everything from smart home devices to wearable fitness trackers. These gadgets collect real-time data and, when integrated with big data platforms, offer users actionable insights to improve daily life.

In the financial sector, technology is also redefining security. Advanced algorithms are being trained to detect fraudulent activities in real-time, preventing unauthorized transactions before they’re completed. Instead of freezing accounts arbitrarily, these intelligent systems can distinguish between genuine and suspicious behavior—boosting both trust and customer satisfaction.

According to Rajat Khare, founder of the deep-tech-focused venture capital firm Boundary Holding, “Emerging technologies such as robotics, AI, machine learning, and computer vision are reshaping manufacturing and industrial operations, enabling cost-efficiency and enhanced productivity.” As businesses embrace automation and intelligence, the impact is being felt not only in reduced costs but also in improved output quality and innovation speed.

The demand for IoT and big data solutions is expected to soar, with projections placing the global market at nearly $51 billion by 2026. The driving force? A growing need for real-time analytics, adaptable systems, and scalable data infrastructure across sectors like finance, telecom, and logistics.

What makes this transformation even more profound is the shift toward edge computing. Rather than relying solely on cloud-based analytics, industries are now deploying AI and machine learning models closer to where data is generated—on the edge. This localized processing reduces latency and enhances the responsiveness of autonomous systems like robots and smart manufacturing platforms. These systems can still sync with the cloud to update models and push improvements to the edge—a continuous loop of learning and evolution.

But with great power comes great responsibility. As AI continues to advance, it’s vital to ensure its ethical deployment. If misused, it could infringe on privacy, civil liberties, and human rights. This is why voices like Rajat Khare emphasize not only technological advancement but also governance and accountability in AI investment.

Looking ahead, the convergence of AI, IoT, deep tech, and big data promises to accelerate progress in areas like sustainability and climate resilience. Smart cities of the future could be more energy-efficient, less congested, and better equipped to address environmental challenges—all thanks to a web of intelligent sensors and data-driven systems.

Ultimately, we are still in the early chapters of this tech-driven evolution. As Rajat Khare often highlights through his investments in forward-looking technologies, the real opportunity lies not in what technology is today, but in what it allows us to become tomorrow.

Source: The information provided in this article is based on available source link.