Katana Graph’s CEO, Keshav Pingali, recently spoke with Jerome Knyszewski of Thrive Global. In the interview, Keshav explains that he strives to focus on “high-valued opportunities rather than getting distracted” and emphasizes quality over quantity regarding meeting customers’ needs.
The biggest problem you will face as a startup is learning to say no to opportunities.
When asked about his early influencers, Keshav cites his mother, a Professor of Physics at one of the top engineering colleges in India, and spoke fondly of growing up in a home filled with physics and math books. A remarkable woman, she completed an M.S. in Electrical Engineering in 1953, a time when few women were involved in the STEM fields.
Developed in an environment that valued staying strong and steady in one’s vision and mission, Keshav’s leadership model guides the team at Katana Graph as they accelerate graph analytics, machine learning (ML), and artificial intelligence (AI) with a scaled-out, high-speed graph computing platform.
By fusing graph technology with ML and parallel computing, this new platform can perform high-speed computing on massive graphs using large or small clusters of computers. Graph technology has historically been associated with database systems, but advances in technology such as high-speed, large-scale analytics and AI have allowed for improvements in the field. Katana Graph has developed a single distributed graph engine to support ML, deep learning, neural networks, and graph convolutional networks with outstanding efficiency and speed.
“A new and exciting development in this space is the rise of graph machine learning and AI, which have applications in pharma, precision medicine, and security among many other areas.”
With many years of experience and knowledge, Keshav strives toward opportunities to develop solutions and insights. Taking inspiration from “Kaizen: The Key to Japan’s Competitive Success” by Masaaki Imai, Keshav is driven to provide a result-oriented process that creates integrated processing systems.
Applying innovations from the high-performance parallel computing world to develop a platform for graph analytics has resulted in Katana’s specialized graph computing engines. This development allows for graph analytics with improved efficiency and performance.
“Remember the advice “Don’t sweat the small stuff. And it’s all small stuff.” While I work hard to be worthy of the trust my team, investors, colleagues, and students have placed in me, I like to remind myself of the wonderful experiences I have had, of my family and friends, and how fortunate I am to live and work in this great country.”
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