Universities need to invest in AI infrastructure

Suchismita Sahu, Senior Data Scientist at Nvidia, has navigated the competitive world of AI, building expertise in deep learning, speech and image processing, and large-scale Machine Learning applications. In this interview, she shares the essential skills for AI professionals, and how fresh graduates can position themselves for success in a dynamic, tech-driven world.

- By Aanchal Ghatak

What advice do you have for aspiring data scientists, and key skills required to excel in the AI industry.

My advice for aspiring data scientists is to be curious, persistent, and always learn. Build a strong foundation in math, statistics, and computer science. Develop your programming skills and gain experience with AI/ML tools and techniques. Seek out opportunities to work on real-world projects and collaborate with others.

Key skills required to excel in the AI industry include:

• Strong programming skills (Python, etc.)

• Knowledge of AI/ML frameworks (TensorFlow, PyTorch, etc.)

• Understanding of statistical modeling and Machine Learning algorithms

• Ability to communicate effectively and work in a team

• Problem-solving and critical-thinking skills

• Continuous learning and a passion for AI

“Even though programming language proficiency can now be aided by LLMs, a strong grasp of algorithms, data structures, and analytical problem-solving remains essential. Companies seek professionals who can navigate the intersection of technology and human interaction, combining technical expertise with effective communication.

How are colleges aligning with industry demands through curriculum updates, internships, and research collaborations?

Colleges are actively bridging the gap with industry through different ways. We're seeing curriculum updates that incorporate the latest tools and techniques, ensuring students learn relevant skills and apply them.

Internships are becoming increasingly vital, providing hands-on experience and a real-world understanding of industry challenges. Finally, research collaborations between universities and companies are fostering innovation and allowing students to contribute to cutting-edge projects, making them highly sought after upon graduation.