AI speeding up tech development, but identifying problems is key: SAP Labs India MD
During a fireside discussion on Leadership in the AI Era, Gangadharan said companies should start with the business outcome they want to achieve rather than look for problems after adopting a technology.
Artificial intelligence is expediting technology development, but companies must prioritize solving the right issues, asserted Sindhu Gangadharan, managing director of SAP Labs India. Speaking at a fireside discussion on Leadership in the AI Era, Gangadharan emphasized that organizations should begin with the desired business outcomes instead of seeking problems after implementing technology.
Gangadharan highlighted that while AI enables companies to develop solutions more swiftly, comprehending the underlying business problem, the impacted individuals, and the industry sector remains crucial. "Building numerous things swiftly is possible today. However, identifying what to build is where the challenge lies," she commented.
Moreover, she advised that companies should transition AI projects from pilot phases to full deployment. She provided an example of an AI-powered billing agent utilized by a multinational corporation for streamlining workforce deployment, regulatory compliance, and pricing procedures. This AI-driven tool has led to a reduction in the staff required to manage tasks previously handled by over 1,000 executives.
To successfully scale AI applications, companies require business and domain expertise, along with robust data systems, Gangadharan stressed. "AI succeeds only when the right data is present," she affirmed.
Regarding the impact of AI on employment, Gangadharan advocated that businesses should concentrate on assisting employees in acquiring new skills and leveraging AI to enhance their current capabilities. "If discussions revolve solely around efficiency in boardrooms without addressing the upliftment of individuals, a significant aspect has been overlooked," she remarked.
Written by urgent.news from Economic Times Tech's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
