Snowflake and the Road to Gen AI

March 2025 | By Shishir Shrivastava, Practice Associate Director

How Gen AI Is Reshaping Industries

From solving complex problems to optimising processes, Gen AI use cases continue to create waves of change across industries. In the manufacturing sector, for example, Gen AI helps with predictive maintenance, supply chain management and optimisation of product lines. Similarly, in healthcare, it can be used to accelerate the discovery of new drugs and personalise disease diagnosis through the analysis of vast amounts of medical data. Likewise, Gen AI solutions can revolutionise financial services by enabling intelligent trading systems and improving fraud detection and risk management.

The benefits of Gen AI are many, and technology partners like Snowflake can help you derive the most possible value from your data.

The Gen AI Journey Begins With Data

While Gen AI may seem to have appeared overnight, the technology’s use has been slowly growing—all thanks to the power of colossal data and statistical computational power engines to process that data. Every enterprise has data, but few have the processes in place to put that data to proper use. While many organisations have matured in their ability to gain valuable insights from data, there is still plenty of work to be done if you want your business to join the Gen AI revolution.

Preparing Your Organisation for Gen AI

For your enterprise to be fully Gen AI-ready, it’s critical to have key processes in place for:

• Data Availability: The more available (and high-quality) your organisation’s data is, the better and faster AI solutions can be leveraged. Your enterprise must have robust data management practices in place, including data integration, data transformation, data quality assurance and data governance.
• Ethical and Regulatory Compliance: Your organisation must establish ethical frameworks, governance structures and compliance mechanisms to mitigate risk and ensure the responsible use of Gen AI.
• Business Use Case Identification: Proactively identify Gen AI use cases and develop strategies to leverage its competitive advantages.
• Computing Infrastructure: Training and deploying Gen AI models requires significant computational resources, so investments in reliable cloud-based infrastructure may be necessary to support these new workloads.
• Talent and Expertise: Building and deploying Gen AI systems requires diverse skills, such as machine learning, natural language processing and domain-specific expertise—so you need to assess if you have the right talent in place.

Snowflake and Gen AI

Snowflake is leading the enterprise Gen AI journey with multiple offerings, from Snowflake Cortex to Streamlit and Snowflake ML (formerly Snowpark). With the power of Snowflake’s tools, your organisation can more easily build machine-learning models and data applications for use across the enterprise.

Snowflake provides a wide array of capabilities to help organisations succeed in the Gen AI space:

• Data management and storage
• Data processing at scale
• Feature engineering
• Model deployment and serving
• Integration with AI/ML tools
• Data governance and security
• Cost optimisation

All said, Snowflake generative AI solutions tick all the boxes for an enterprise to begin a successful Gen AI journey.

Leverage a Snowflake Partner on Your Gen AI Journey

As your enterprise looks to begin or expand its Gen AI use cases, it’s essential to have the right processes and talent in place to reach your goals. Snowflake generative AI’s offerings include several features that can simplify and streamline the journey, helping your organisation grow and stay ahead of the curve—and the competition. As an elite Snowflake partner, TEKsystems can ensure that your enterprise has the tools to make the most of this technology.