Pune is emerging as significant hub for artificial intelligence (AI) within India, but Chief Information Officers (CIOs) face substantial hurdles in translating promising AI demonstrations into effective production systems. During a recent technology conference, four senior leaders in the field discussed the complexities of AI implementation, highlighting the gap between initial excitement and practical application.
According to Amit Phadke,Vice President of IT and Cloud at CANPACK Group, the primary obstacle lies not in securing approval or procurement but in the transition from demo to deployment. AI systems often perform well in controlled environments, but when introduced to messy,real-world data, they frequently falter . This discrepancy can lead to rising costs without the expected returns, making it difficult to justify the investment .
Phadke emphasized that while procurement processes are generally well-established, the challenge of implementing AI remains daunting for many organizations. The gap between a successful proof of concept and a scalable production system is a common issue in industry.
Paramanand Shinde,Vice President of IT at Sanghvi Movers,echoed these sentiments,stressing importance of return on investment (ROI). He noted that every expenditure must demonstrate tangible benefits to secure management approval. Shinde also pointed to change management as a critical factor in the success of technology initiatives. He observed that without strong leadership support, employees often resist adopting new systems, which can hinder overall effectiveness.
Shinde also highlighted the prevalence of manual processes within organizations, which can impede decision-making and lead to inefficiencies. He suggested that understanding how employees currently utilize AI tools can provide valuable insights for developing a more structured approach to AI investments.
Parag Deshmane, Manager of Core IT and Infrastructure Operations at Alfa Laval,described increasing complexity faced by CIOs in Pune. As multinational companies establish operations in the city,leaders must navigate labyrinth of governance and compliance requirements. The regulatory landscape is particularly challenging,with companies needing to adhere to both Indian laws and international standards, such as forthcoming Digital Personal Data Protection Act (DPDPA).
Deshmane warned that AI's effectiveness is contingent upon the quality of the data fed into it. He stated,"garbage in, garbage out," underscoring the necessity of accurate and well-governed data to achieve meaningful AI outcomes.
Karishma Kumar, CIO of IT at Skoda Auto Volkswagen India, provided a balanced perspective on AI adoption . She noted that Pune's methodical approach to technology decisions could be advantageous,especially in a landscape where many AI use cases fail to deliver results. Kumar advocated for identifying pilot projects that can quickly demonstrate success while allowing for broader experimentation .
She believes AI will enhance IT teams rather than replace them,enabling tasks to be completed more efficiently. However, Kumar cautioned that without integrated systems, AI's potential cannot be fully realized. Her approach emphasizes the need for governance in AI innovation, suggesting that while business departments may run independent AI pilots,they should ensure that any tools deployed in production undergo thorough review and are built on secure platforms.
As Pune continues to evolve as a technology center,the insights from these CIOs illustrate the challenges and opportunities that lie ahead in the realm of AI . The path to successful AI integration requires not only technological capability but also a commitment to governance,data quality,and change management.
