Snowflake enables every organization to mobilize their data with Snowflake’s Data Cloud. Customers use the Data Cloud to unite siloed data, discover and securely share data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single data experience that spans multiple clouds and geographies. Thousands of customers across many industries, including 510 of the 2022 Forbes Global 2000 (G2K) as of July 31, 2022, use Snowflake Data Cloud to power their businesses. Learn more at snowflake.com.
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The Financial Services Data Cloud brings together Snowflake’s platform capabilities - across Data Engineering, Data Lake, Data Warehouse, Data Science, Data Applications, and Data Sharing - with relevant third-party marketplace data, industry solutions, core applications, and partners in order to address workflow challenges and achieve business objectives for the Financial Services industry.
Company Insights
Power of the possible: How might generative AI transform financial services?
For the second instalment in our Power of the Possible series, the global EY organization’s Frank Chevalier and Michael Taylor of series partner Snowflake, joined Jon Bernstein to discuss how and where generative AI (GenAI) is bringing genuine transformation to the financial services industry.
Power of the possible: Why enterprises can no longer afford to delay GenAI initiatives
For enterprises looking to start generating business value through GenAI, knowing how and where to begin can prove a profound challenge. For the first instalment in our Power of the Possible series, Deloitte’s Tatjana Wiebusch, and Mike Taylor of series partner Snowflake, spoke of the urgency for getting started now.
White Papers
Snowflake – AI BLUEPRINT FOR FINANCIAL SERVICES
The race to adopt, implement and derive value from generative AI is very much underway. Goldman Sachs recently predicted that corporations across all sectors will spend an estimated $1 trillion on AI capital expenditure (capex) over the next couple of years. Apart from the technology sector, the financial services industry in particular is poised to be a leading investor and adopter of this transformative technology. In fact, the financial services industry is projected to put $97 billion toward AI by 2027. Strategic considerations — and the potential for a dramatic impact in the sector — drive that level of capex. While there are also concerns and uncertainty around cost and security, the trend is undeniably toward an AI-enabled financial future.
Unifying Enterprise Data for Generative AI
Successful GenAI adoption depends heavily on an organisation’s data maturity and platform diversity. Many enterprises face challenges due to fragmented data environments, leading to inefficiencies and increased costs. To harness the full value of GenAI, organisations must address this data fragmentation and adopt unified platforms that consolidate compute and storage. This paper from Snowflake and Deloitte explores how to overcome these challenges and unlock the power of genAI at scale.
Data + AI Predictions 2024
Generative AI and large language models (LLMs) will reshape how we live, work and do business. Key experts from Snowflake offer insights into strategies to navigate the opportunity and uncertainty, including How gen AI and LLMs will impact our lives, the broader effects of data-fuelled technology on the enterprise, how these technologies will transform open source—and vice versa, and the enormous implications of advanced data modelling on cybersecurity.
Insurance data trends: How data and analytics continue to transform the insurance industry
Insurance companies that want to thrive in today’s aggressive global business landscape need to leverage data and analytics better than ever before. Insurance providers must know more about the marketplace than their competitors, have the ability to share and leverage information internally and externally with simplicity and ease, and integrate analytics insights into every step of the decision-making lifecycle.