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Harnessing AI For Growth: How Indian Enterprises Are Using AI to Transform Business Operations

SUMMARY

Inc42 and Oracle organised the first of a two-part round table titled Boardroom: Powering Data With AI to help develop effective business strategies

Discussions focussed on efficient data management and coping with challenges like data silos and data security

Industry leaders also shared valuable insights regarding AI-ML use cases across sectors like deeptech, biotech, fintech and SaaS, among others

Is AI-GenAI playing a pivotal role in improving processes and productivity across mainstay enterprises? Most companies think so and focus on leveraging these new tech opportunities to achieve sustainable growth. Data remains the critical base for AI/GenAI tools to understand and analyse the best way to increase efficiency and hourly productivity.  “AI has brought remarkable advancements in life sciences and pharmaceuticals,” said Rao of Genotypic. “In pathology [disease detection], for example, AI-driven image analytics can detect conditions like glaucoma earlier than traditional diagnostics. AI is also transforming demographic and genomic data use in image analysis, disease prediction, tumour classification and more.” “Besides, a single doctor can manage and treat hundreds of patients every day with the help of AI, a feat impossible to match without such technology,” he noted, highlighting AI’s prowess in diagnostic support and predictive analytics. 

This should not be a problem in a digital environment, as businesses tend to sit on vast amounts of data. However, most organisations struggle to derive meaningful business insights due to the presence of data silos, isolated data repositories that fail to bring the bigger vision. 

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