Lokesh is an expert in personnel management, leadership development, organization setup, strategy mapping and implementation, and digital HR transformation.

Lokesh has training in Requisite Organization approaches, which are essential for driving capability-based, optimum, lean organizations and integrated organization design and growth. 

INDIAai interviewed Lokesh to get his perspective on AI.

How did your career begin in the AI field? 

Over the years, I have been fortunate to develop my skills at the crossroads of technology, behaviour science, entrepreneurship, and consulting. This unique blend has empowered me to envision solutions and innovative approaches. As AI continues to expand and become relevant in diverse fields, it has become a natural progression for me to integrate my expertise with AI-centric applications. With our initiative at Konverz.ai, our mission is to amplify the potential of AI across many use cases and drive the next era of intelligent solutions.  

What were the initial challenges you faced at the beginning of your career? How did you overcome them? 

I was in the armed forces but had to leave because of an injury. After that, I studied engineering and then moved into consulting. Later, I joined the doctoral course in behaviour science. Leaving the Indian Navy was tough, and I faced many challenges rebuilding my career. But I always believed in taking things one step at a time and kept moving forward.  

Competition has increased in the AI development space. So, what are Konverz.ai's plans to stay ahead in the race? 

Konverz.ai empowers organizations to gain a significant competitive advantage in talent acquisition by harnessing cutting-edge AI technology. This technology evaluates a range of critical factors, including personality traits, cognitive capabilities, motivations, and emotional intelligence, all while adhering to industry benchmarks and standards. 

Let's delve into the tangible benefits that Konverz.ai delivers to companies: 

Cost Reduction: Implementing Konverz.ai can lead to a substantial reduction in the cost per hire, potentially lowering it by up to 30%. It translates to more efficient allocation of your hiring budget, allowing you to achieve your recruitment goals without overspending. 

Time Optimization: One of the standout advantages is the remarkable acceleration of the hiring process, with the potential to cut the hiring time by as much as 50%. By streamlining hiring activities, Konverz.ai enables you to identify and onboard top talent swiftly. 

Fitment Improvement: Konverz.ai's AI-driven assessments can significantly enhance fitment percentages, potentially boosting them by up to 40%. It results in a much-improved alignment between candidates and the specific job requirements, leading to higher overall satisfaction for both candidates and employers. 

Productivity Boost: Beyond cost and time savings, Konverz.ai also contributes to a notable increase in recruiter and business productivity, potentially by as much as 30%. This productivity enhancement extends to the onboarding and ramp-up period, ensuring that new hires become productive contributors more swiftly. 

Konverz.ai's AI-driven solutions offer organizations a strategic edge in talent acquisition. They make the entire process more efficient, cost-effective, and closely aligned with the overarching goals and objectives of the organization. This cutting-edge technology represents a game-changer in the competitive world of talent acquisition. 

Given the perpetual surge in demand for AI products and solutions, what measures does Konverz.ai take to safeguard and ensure data security and protection?  

To safeguard and ensure data security and protection in AI, Konverz.ai implements a comprehensive set of measures and best practices. These measures should encompass data handling, access control, compliance, and ongoing monitoring. Here are some critical steps taken by Konverz.ai to safeguard data: 

Data Encryption: Data is encrypted in transit and at rest to prevent unauthorized access. We secure data with sophisticated encryption algorithms. 

Access Control: 

We have implemented strict access controls to ensure only authorized personnel can access sensitive data. 

We use role-based access control to define and manage permissions based on job roles and responsibilities. 

Regular Security Audits and Testing: Regular security audits and vulnerability assessments discover and fix system problems in real-time. 

Data Breach Response Plan: We have already developed a data breach response plan that includes notification procedures to affected parties and relevant authorities in case of a security incident. 

Incident Response Plan: Develop a well-defined incident response plan to address security breaches promptly and effectively. 

Privacy by Design: Konverz.ai has already integrated privacy considerations into the design and development from the outset. 

Data security requires constant monitoring, adaptability to changing threats, and knowledge of current security best practices.  

What advice would you provide to students who wish to pursue a career in artificial intelligence? 

For those planning on a career in AI, it's essential to remember that AI is not just about algorithms and code but about solving real-world problems. Stay grounded in the fundamentals but also embrace interdisciplinary learning. The most groundbreaking AI solutions often come from merging insights from diverse fields. Continuously update your knowledge as the AI landscape evolves rapidly. And most importantly, always consider the ethical implications of your work. As you shape the future of AI, ensure it's a future we all want to be a part of.  

What books or magazines would you recommend to students? 

For students, Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville offers comprehensive insights into the complexities and potential of deep learning methods. Another essential read is Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig, which delves deep into various AI concepts. On the magazine front, Neural Networks provides valuable articles on neural network theory and its applications. At the same time, the Journal of Machine Learning Research is a must-read for keeping up to date with the latest research and methodologies in the machine learning domain.