Revolutionizing Tomorrow: Organizations Navigate the Data-Driven Frontier with AI and Innovation

Explore the unfolding narrative of the data-driven future through the lens of industry leaders, from scalable infrastructure to AI.

Aanchal Ghatak
New Update
Data-driven future

Data-driven future

Dataquest hosted the groundbreaking event, "Building a Data Foundation for Innovation, it focused on the challenges and strategies of becoming a data-driven organization in the era of digital transformation.


The agenda focused on exploring data-driven strategies and innovation, bringing together industry leaders and technology enthusiasts. Sanjay Agrawal, Head Presales and CTO of Hitachi Vantara, India and SAARC, was the keynote speaker, emphasizing the importance of digital transformation and the challenges in becoming a data-driven organization.

Sanjay Agrawal highlighted the core objectives of organizations, emphasizing exceptional customer experiences, process improvement, and business model redefinition through data utilization. He discussed the hurdles faced by companies in managing diverse data sources and the crucial need for a unified approach.

Minu Sirsalewala moderated a panel discussion that included Annapurna Kuchibhatla (CTO, Bajaj Electronics), Anil Sharma (CTO, PepsiCo), Anil Kumar Gujja (CIO, Pragati Finserv), CK Prasad (Executive Director, Railtel), and Sanjay Agrawal.


Minu set the stage by emphasizing the rapid changes in technology, the interconnected global economy, and the pivotal role of digital transformation. She highlighted the growing importance of effective data use, cloud, and sustainability, powered by AI, stating that "data is the new currency for the digital economy."

The challenges in implementing data-driven strategies were discussed by the panelists. Anil Sharma emphasized the significance of leadership commitment, the quality of data, and the presence of silos within organizations. Annapurna Kuchibhatla added a focus on data, stressing its importance in decision-making processes. Anil Kumar Gujja highlighted the challenges of real-time data access and metadata management, while CK Prasad discussed challenges related to transactional data, decision-making approaches, and a lack of skills in data analytics.

Sanjay Agrawal shared insights into a discussion he had with an organization focusing on threat mitigation and fraud detection. The challenges primarily stemmed from the difficulty in discovering and using data effectively. He stressed the importance of a robust data platform strategy to make dark data visible and monetize it, leveraging AI and ML.


The panelists collectively acknowledged common challenges and emphasized the need for a strategic approach to derive maximum value from data. The discussion covered topics such as leadership commitment, data quality, breaking down silos, real-time data access, metadata management, and the integration of AI and ML for effective data utilization. The event provided valuable insights into the complexities and opportunities in building a data foundation for innovation.

In a dynamic virtual symposium, industry leaders convened to discuss the transformative intersection of AI, data infrastructure, and security, unraveling the strategies that propel their organizations into the data-driven future.

The discussion kicked off with CK Prasad, Executive Director at Railtel, emphasizing the pivotal role of robust infrastructure in their data strategy. "A scalable and resilient infrastructure, coupled with a well-defined data pipeline, ensures the seamless integration of AI tools," he remarked. The continuous improvement of data infrastructure at Railtel has led to significant value, particularly in resource optimization and infrastructure management.


Anil Sharma, representing PepsiCo, shared insights into creating a data-driven culture. "Leadership commitment and starting small with specific use cases have been instrumental," he noted. Success stories at PepsiCo revolved around analytics for sales and supply chain, where AI models for predictive analytics enhanced decision-making. Data trustworthiness, integrity, and a continuous learning mindset were highlighted as key success factors.

Bajaj Electronics, represented by Annapurna Kuchibhatla, showcased their success in healthcare automation through AI. "Aligning technology with organizational needs and ensuring data integrity have been paramount," she explained. The meticulous iterations in automating processes underscored the importance of actionable data.

CK Prasad added, "The black box approach between business and data teams at Pragati Finserv minimizes surprises, ensuring precise data gathering tailored to end-user requirements." Anil Gujja from Pragati Finserv highlighted their success in microfinance operations, where a focus on a robust enterprise architecture and stakeholder involvement has been pivotal.


Sanjay Agrawal delved into the challenges and opportunities in AI integration. "Ensuring the reliability and accuracy of data inputs for models is an ongoing effort," he remarked. He emphasized the need for guidelines on using AI responsibly and securely, particularly in threat detection and fraud prevention.

Minu, the symposium moderator, expressed appreciation for the diverse insights shared by the panelists. "Your experiences underscore the complexity of the AI, data, and security landscape and the need for a holistic approach. Looking ahead, what trends and challenges do you foresee in the realm of AI, data, and digital transformation?"

The symposium unfolded a narrative of organizations navigating the data-driven frontier with a blend of leadership commitment, technology alignment, and meticulous data governance. The symphony of insights resonated, showcasing that the journey towards a data-driven future is a collaborative and dynamic process.