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Provide artificial intelligence-based solutions to drive innovation

Debayan Deb: providing solutions based on artificial intelligence to stimulate innovation


by Analytics Insight


December 21, 2021

LENS Company focuses on providing an AI-based solution to multiple problems by enabling machines to see and perceive. It provides state-of-the-art, in-house artificial intelligence solutions while collaborating with multiple AI and ML developers around the world. Some of the ongoing projects of this company are infant fingerprint recognition, non-contact fingerprints, and primate facial recognition.

The company that was born to bridge the gap

Debayan Deb is co-founder and CEO of LENS Corporation. His fascination with computer vision quickly turned into a passion worth pursuing in 2015. Applied AI was the next big thing to hit the market at the time and Debayan wanted to be a part of it. Soon after, in 2016, he officially launched a company known as LENS with the aim of growing local businesses through AI.

To consolidate his understanding of the market and gain knowledge in computer vision, Debayan started his PhD. with one of the pioneers of modern biometrics, Dr Anil K. Jain. During his studies he realized that industry and academia have very different demands; the latter mainly focuses on improving the accuracy of AI systems while operational efficiency is key in the industry and then it became imperative for him to close that gap, and this is where LENS intervened. Now, LENS is at the forefront of efficient and reliable AI systems, blazing a new path for creating explainable and universally intelligent solutions.

In-depth research that paves the way for success

Debayan stressed, “How we do it is just as important as why we do it.” The first step is research into the advancement of the state of the art. Then, it improves the efficiency of the solutions in various operational scenarios. Finally, the team examines the social implications of algorithm-based decision making and ensures that AI systems are trained on high-quality, ethically-represented datasets to fairly remove human cognitive biases.

To stay ahead of the game, he also publishes academic white papers with prominent AI researchers.

Leadership that runs the field

Debayan mentioned that AI is one of the fastest growing fields and that disruptive technologies are prevalent. To stay relevant, he said keeping your feet on fire in literature and academia is crucial.

He suggested being thirsty to gain knowledge by reading new academic articles and also stressed that we should invest time in studying new emerging companies. “Gone are the days when a leader could only concentrate on day-to-day management. A leader must also constantly strive to understand where the field is going, ”explains Debayan.

Retain the vision to overcome difficult times

At first, the team participated in pitch competitions where start-ups pitch business ideas, such as SpartyPitch and The Hatch. The idea of ​​applying AI solutions to a variety of different applications secured a victory that further validated the need for LENS.

In addition, pursue a doctorate. further intensified its understanding of the market and gave it an edge over its competitors. This dramatically accelerated the ability to see the near future and provided a vision to see where the field is heading. In the toughest times, the team stick to the same vision: wanting all machines to understand the world like humans do.

Characteristics of an AI leader

According to Debayan, “visualizing beyond today” should be a primary quality in an AI leader. Understanding the impact of technology is just as important to tackling the biggest challenges.

He claims that sometimes AI is more of an art than a science. In research, there may be crossroads where many directions seem attainable, and therefore Debayan believes that it is vital to trust instincts, rather than stopping where logic is unable to find a way. to be continued. “As a leader, you have to work collaboratively with the team to find optimal solutions to difficult problems,” he says.

Words of wisdom for aspiring leaders

Since this branch of IT has not been conventional until now, it may seem that there is a dearth of opportunities, which is a common myth.

Debayan believes that AI has been on the rise in recent years and that solutions that meet market demands are not being met by the available supply of researchers and engineers. Many niches have also been overlooked by academia and industry.

His advice would be to take the plunge, study the market, believe in the skills, and develop your own ideas. He wishes good luck to all budding leaders or executives!

Empower hard times to meet deliverables

In order to stay relevant and ahead of the competition, LENS decided to be a research-driven company, instead of providing solutions to mundane problems. The team also decided to be 100% bootstrap – the idea being that the pace of growth will be directly impacted by the quality of the research, which has worked in its favor. Internally, Debayan expresses that when starting to grow the team while collaborating with the team (s), work on multiple ideas needs to be streamlined to stay on track so that deliverables are achieved through sprints. agile.

The future towards building trust, fairness and security

The motto of the company is “Trustworthy AI”. Yes, that’s the idea for the next decade. Now that AI systems are saturating in terms of precision in many areas, Debayan wants to see new AI systems that excel in precision, efficiency, explainability and transparency.

The solutions, while maintaining the necessary intellectual property rights for customers, clients and end users, include a guarantee to exploit everything at our disposal to ensure full transparency, until all the “how” and “Why” are answered satisfactorily.

Another area where AI is largely overlooked is ‘AI for social good’. LENS actively provides solutions to global challenges, including, but not limited to, assigning digital identification (biometrics) to everyone (including infants and underdeveloped regions), helping to wildlife conservation, anticipating natural disasters (eg, via aerial imagery), and soon. Contributions to this goal can go a long way in building trust, fairness and security for society as a whole.

LENS, which is complemented by a research-driven approach, strives to overcome some of the noted challenges of AI, such as ethical training and unbiased decision-making while maintaining user privacy, which is essential to transform the industry to come. LENS is building the future of AI, together.