Rajat Khare Explains How AI, ML, Deeptech and Big Data Will Shape the Future

Technology is a driving force shaping the world we live in, influencing our lives in ways that extend far beyond the use of smartphones or tablets. Often, its profound impact becomes evident only in hindsight, as we come to understand the significance of these advancements in our daily lives.

Today, organizations worldwide rely heavily on data to guide their strategies and decision-making processes. It’s hard to envision a modern world without data at its core. Many electronic devices leverage IoT technology to gather information, from smart vehicles to wearable gadgets. Innovations in IoT have surged, transforming how we interact with technology—whether it's managing home temperatures or tracking daily fitness goals with smart devices. As IoT and big data continue to evolve, they promise to connect our devices seamlessly, enhancing our everyday experiences.

The FinTech sector offers remarkable innovations, using big data and advanced algorithms to detect fraudulent activities in real time. This technology enables swift identification of unusual behaviour, promptly alerts users, and halts suspicious transactions. Moreover, it enhances fraud detection precision, reducing unnecessary account freezes and fostering greater customer satisfaction.

Rajat Khare, founder of the Luxembourg-based venture capital firm Boundary Holding, highlighted how technologies like robotics, artificial intelligence, machine learning, deep tech, and computer vision are transforming the industrial sector. “These innovations allow producers and enterprises to enhance every stage of production and operations, significantly reducing the costs associated with goods and services,” he explained.

By 2026, projections indicate that the global market for IoT big data solutions will approach $51 billion. As technology advances, the demand for dependable, flexible systems, innovative analytics, and scalable storage solutions is set to grow significantly. Industries such as finance, telecommunications, retail, healthcare, and transportation are expected to lead this surge in demand, driving the market's expansion.

Future manufacturing platforms will harness the power of a federated model to integrate, process, and analyze data effectively. By deploying AI and machine learning models directly at the edge, robots and autonomous systems can reduce their reliance on cloud-based data analysis.

These systems can transmit results back to the cloud, enabling continuous model updates and training. Updated models are then shared with robots and autonomous systems operating on the factory floor, ensuring seamless and adaptive operations.

While AI holds immense promise to benefit society when applied responsibly, it also carries risks. Misuse by businesses or governments could pose significant challenges, including potential threats to human rights, highlighting the need for ethical implementation.

Technology constantly evolves, presenting endless opportunities for growth and innovation. While we haven’t yet reached the pinnacle of technological achievement, advancements are accelerating rapidly. With every new discovery, our understanding deepens, paving the way for even more transformative progress.

Innovations like nanosatellites facilitating IoT communication and the integration of AI and ML with deep tech and big data illustrate the interconnected nature of modern technology. These synergies are driving breakthroughs across industries and have the potential to address global challenges. AI, in particular, holds promise for tackling sustainability issues, combating climate change, and solving environmental problems on an unprecedented scale. In the future, cities could become cleaner, less crowded, and more sustainable, supported by advanced sensor networks that enhance urban living.