Akamai’s Akul Dewan to Judge Erdős Institute’s Data Science and Deep Learning Bootcamps

At Akamai Technologies, Senior Product Architect Akul Dewan is responsible for developing architectural plans for the App and API Protections team, which creates cybersecurity solutions, including sophisticated uses for national defense and other areas. Having more than ten years of experience, he has devoted his software engineering career to acquiring a thorough understanding of Generative Artificial Intelligence (gen-AI) and Artificial Intelligence (AI) technologies. 

Akul is appreciated for his original contributions to the engineering field and his technical inventiveness. For ground-breaking developments of products, he has been given two US patents, and three are presently pending. He is scheduled to serve as an invited Judge for the Spring 2025 Data Science and Deep Learning Bootcamps.

Having finished his information technology bachelor’s degree in his native India, Akul sought a Master of Science in Artificial Intelligence at the University of Georgia, Athens (USA). Using his vast academic knowledge and professional experience with large-scale Software as a Service (SaaS) platforms, Akul has built and spearheaded new artificial intelligence teams. It supervises the development of the first AI/ML systems for several technology consulting companies, customers, and applications. 

He has extensive knowledge in systems fit to host ML processes meeting Extract, Transform, Load (ETL), near-real-time, and real-time inference needs when designing high throughput, fault-tolerant, and industry-standard compliant AI/ML platforms. Akul oversees government compliance and rules as well as guides cross-functional teams in advanced AI/ML project research, design, and development in his present capacity. (Source: Techbullion)

What Makes Akul’s Technology Revolutionary?

The front office contact center agent’s productivity is very simple to follow. This production is transacted starting when the phone rings and ending when the call is ended. Tracking back-office productivity, though, is more difficult since agents manage emails, internet chats, texts, and other kinds of long-duration communication. Tracking of productivity has been solved using a patented technology. 

By using several signals from a back-office agent’s desktop, one can now determine if the agent is involved in productive or non-productive activities, measure the length of these tasks over the day, and analyze the time spent on each useful activity. Moreover, the technology can identify and report techniques like ‘Mouse Clicker,’ usually used to fool productivity tracking programs.

Contact center managers, like the front desk, with this ground-breaking technology properly evaluate the productivity of every back-office agent. By examining the data on events where back-office agents spend the most time, managers can also identify chances to improve processes. This patent helps contact centers reduce operating costs by automating productivity tracking and uncovering elements affecting it.

Where Will AI/ML Technology Go According to Akul and How He is Going to Fit in Emerging Technologies? 

With regard to the field of AI/ML engineering, it is expected that over the next few years the incorporation of AI/ML inside the industry will rapidly rise. Coupled with some experience using ML tools, a basic grasp of statistics, data science, and machine learning is expected to be required for all software industry jobs. Several projects, as stated before, are carried out by the person both inside and outside their company to help bridge the skill set disparity between academic researchers and software engineers. 

The aim is to get them ready for a time when job obligations are predicted to overlap across roles. Regarding trends in AI/ML systems and software, it is thought that government-imposed laws and rules about AI/ML use and behavior will also increase noticeably. This is seen as a good indicator of the maturing of the business. One hopes that decision-makers, especially those heading Platform as a Service (PaaS) and Infrastructure as a Service (IaaS), will include these rules in their organizational plans.