Blog

The Future of Artificial Intelligence: AI to outsmart or upgrade human capabilities?

Despite recent claims that AI would soon surpass human intelligence, this idea can be disproved by analyzing what AI cannot do in comparison to natural intelligence. Our existing work process, as we know is systematic and standardized with a data-driven approach, which artificial intelligence can clearly perform more efficiently than humans. Having the technology to take up the rigorous and mundane tasks, people have a significant opportunity to rethink the fundamentals of “value creation” “meaningful work” and “work-life culture” across industries. Therefore, the potential of AI to perform automated tasks allows us to explore unique human characteristics like imagination, creativity, curiosity, morality, ethics, and emotional, cultural, and social intelligence. However, the fact that AI is growing at an electric speed also creates a lot of challenges for us to acclimatize and be ready for future transformation.

Growth of NDR (Network Detection and Response) in cyber security

Network Detection and Response (NDR) is a developing discipline of cybersecurity that permits organizations to monitor network traffic for malicious actors and suspicious way of behaving, as well as respond and treat cyber-attacks distinguished on the network. The emergence of NDR systems mirrors an expansion in framework which ranges from criminal actors to hackers to nation-states.

Hyperautomation in Banking & Financial services

Hyperautomation alludes to the utilization of cutting-edge innovations, for example, AI and mechanical technology process automation (RPA) to robotize manual assignments. It is basic to comprehend that hyper automation isn’t intended to replace human specialists, yet rather to coordinate them into the cycle.

Banking as a Service (BaaS) and Top Financial Services Trends to Watch Out for in 2022.

The rapid wave of digital transformation set forth the transition of banks from rigorous to responsive, conventional to digitally savvy, and more receptive to change than ever before. Besides just being digitally established, they are moving fast-forward towards innovation and bringing a change in the industry practices.

Predictive genomics: The Sangam of statistics and science

To dilettantes with only a passable knowledge of this subject, the term ‘predictive genomics’ may seem obsolete since all endeavors in the field of genetics are predictive in their intent. However, it is a discipline at the crossroads of various fields like personal genomics, phenology, and bioinformatics alongside many more. Its relevance lies in the understanding of the human phenotype (expressed traits in an individual) as a function of the person’s genotype and his/her environment and being able to integrate the two variables of the function in a population for generations using advanced computational modalities like AI and Machine Learning.

Quantum Computing in drug discovery: The possibilities of probabilities

Every problem has a solution. But what if problems themselves become solutions?

This is the philosophy at the core of quantum computing; the somewhat funny rules of the quantum world has been manipulated by scientists to create technology that has limitless potential in the real world, a parallel that is one in a million. Read on to learn how.