Discover how your organization can stay ahead of the curve by partnering with Snowflake as you embrace the growth of generative AI.
July 30, 2024 | By Shishir Shrivastava
Generative AI (Gen AI) is the latest buzzword in tech, and enterprises are rushing to develop strategies and use cases. And while businesses must stay agile in the world of rapidly evolving technologies, capitalizing on Gen AI's capabilities requires a clear strategy. If you want to jump on the bandwagon, you must first understand its capabilities—and prepare your enterprise.
How Gen AI Is Reshaping Industries
From solving complex problems to optimizing 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 optimization of product lines. Similarly, in healthcare, it can be used to accelerate the discovery of new drugs and personalize disease diagnosis through the analysis of vast amounts of medical data. Likewise, Gen AI solutions can revolutionize 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 organizations 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 Organization 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 organization’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 organization 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 organization can more easily build machine-learning models and data applications for use across the enterprise.
Snowflake provides a wide array of capabilities to help organizations 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 optimization
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 organization 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.
Shishir Shrivastava
Practice Associate Director, TEKsystems Global Services
Shishir spearheads data initiatives, leveraging an in-depth understanding of diverse industries and a strong proficiency in Snowflake’s data cloud. He has more than two decades of expertise in data architecture, governance, business intelligence, data warehousing, cloud computing, machine learning and AI. He specializes in leading high-performing teams, driving innovation and delivering scalable solutions that transform data into actionable insights.
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Shishir Shrivastava
Practice Associate Director, TEKsystems Global Services
Shishir spearheads data initiatives, leveraging an in-depth understanding of diverse industries and a strong proficiency in Snowflake’s data cloud. He has more than two decades of expertise in data architecture, governance, business intelligence, data warehousing, cloud computing, machine learning and AI. He specializes in leading high-performing teams, driving innovation and delivering scalable solutions that transform data into actionable insights.