The rise of Generative AI (GenAI) adoption has showcased both its immense potential and the hurdles that come with widespread implementation. As businesses navigate this evolving landscape, they are increasingly recognizing the strategic importance of data analytics. Shukri Dabaghi, Senior Vice President of EMEA Emerging Markets & Asia Pacific at SAS, sheds light on how the company is leveraging AI and data analytics to support various industries. In an interview with Sudhir Chowdhary, Dabaghi discusses SAS’s unique approach to GenAI, the growing importance of data analytics, and SAS’s strategy for growth, particularly in the Indian market.
SAS distinguishes itself in the GenAI space through its Viya 4 platform, which integrates advanced analytics with domain-specific knowledge to create validated and ethical AI models. Unlike traditional AI approaches, SAS’s strategy focuses on delivering solutions that not only provide comprehensive insights but are also tailored to address specific business challenges. This approach ensures that organizations can swiftly and effectively derive actionable intelligence, enhancing productivity and efficiency. By combining GenAI with SAS Viya, SAS is able to offer powerful and purposeful solutions that drive measurable value and foster a culture of data-driven excellence.
The Growing Importance of Data Analytics Across Industries
Data analytics has become a critical component for organizations aiming to become more resilient and agile. SAS Viya empowers companies to optimize processes, anticipate market changes, and respond quickly to customer demands. AI-driven insights enable organizations to personalize customer interactions, forecast trends, and innovate rapidly, which is essential in fast-paced industries. Additionally, analytics plays a vital role in ensuring compliance and effective risk management, particularly in regulatory environments like India. Embracing analytics not only ensures survival in competitive markets but also instills confidence and reassurance, allowing businesses to thrive globally.
SAS’s trajectory in the Indian market has been impressive, characterized by robust double-digit growth and a strong commitment to innovation. India’s market size and its forward-thinking approach to data and AI adoption make it a significant player on the global stage. Indian enterprises are eager to explore and adopt cutting-edge solutions, and SAS’s investment in the region reflects this enthusiasm. The establishment of SAS’s second-largest R&D center in India, after the US, underscores the company’s confidence in India’s potential to drive innovation.
SAS’s success in India is rooted in its deep understanding of the unique needs of Indian enterprises. These organizations often manage customer bases that far exceed global standards, facing the challenge of catering to diverse and rapidly evolving consumer preferences. AI and data analytics have thus become strategic imperatives, enabling businesses to understand and fulfill market demands effectively.
Strategies for Tapping New Customer Segments in India
To tap into new customer segments in India, SAS focuses on understanding the specific challenges faced by its customers and delivering tailored solutions that drive tangible business outcomes. For example, SAS supports revenue assurance and fraud detection in the government sector. Financial institutions also rely on SAS to analyze vast amounts of data rapidly and develop complex models that support critical decision-making processes.
In conclusion, the strategic implementation of AI and data analytics is becoming increasingly essential for businesses across various industries. SAS’s unique approach to GenAI, its commitment to innovation, and its deep understanding of market needs, particularly in India, position the company as a leader in leveraging these technologies to drive business success. As organizations continue to navigate the complexities of the modern business landscape, the integration of AI and data analytics will be crucial in achieving resilience, agility, and sustained growth.
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