Resource Categories: EBook

This year’s Summit brought over 15,000 industry experts, business leaders, developers and more to San Francisco’s Moscone Center for four days of high-energy interaction.

To kick things off the CEO and Founder of NVIDIA, Jensen Huang, joined Snowflake CEO Sridhar Ramaswamy to explain how both companies are helping enterprises turn generative AI from an aspiration to a reality.

Here are some of the biggest takeaways from the rest of the conference:

• Enterprise AI unlocks AI’s full potential
• A strong data foundation addresses four common AI problems
• Democratizing access to AI will power efficiency
• Snowflake is committed to open source innovation
• The AI Data Cloud is driving success for leading companies

For a recap of the event, access the full report now.

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How to build a data foundation to unlock the full potential of AI

In today’s data- and AI-driven landscape, efficiently managing vast amounts of data to power AI decision-making can create new business opportunities and a competitive edge. Traditional on-premise data lakes are often limited in scalability and agility, prompting organizations to explore cloud-based solutions. Even many cloud data lakes lack the reliability, performance and governance that’s required.

Still, organizations need to carefully consider several factors before deciding to build one or modernize from current tooling to a new platform. But where should they start?

Our “Essential Guide to Modernizing Data Lakes for AI with Snowflake” gives organizations guidance from experts to help them create the necessary data foundation to unlock the full potential of their data with AI. Download your copy to learn:

• How to overcome complexity, performance, governance, compliance and security risks with a data lake equipped for modern requirements
• How customers have benefited from modernizing their data lakes on Snowflake
• The core concepts needed to successfully plan and execute migration strategies

Telecom companies power every major aspect of the global economy. But due to factors, telecom providers lag behind the industries they support when it comes to using data to create competitive advantages in an increasingly AI world.

This report explores the telecom landscape, trends and solutions through the perspectives of four Snowflake telecommunications experts and an independent industry thought leader. Exploring a variety of topics — from optimizing customer experience and observability to how gen AI can transform the industry — it provides tangible strategies and insights to empower telecoms to drive meaningful, positive change in their business.

Read this report to learn:

• The top data + AI predictions for 2024
• Why gen AI is the key to transforming the telecom industry
• How optimizing personalization can be a competitive advantage
• About an award-winning carbon emissions reduction solution for telecoms

Get more out of your security data by moving from Splunk to Snowflake

Security information and event management (SIEM) systems have been the standard for cybersecurity teams to aggregate log data from endpoints, firewalls, servers, applications and more for years. But traditional SIEMs struggle to keep up with the speed, volume and diversity of that data systems are generating today.

Legacy SIEMs, like Splunk, can frustrate customers with its unpredictable volume-based pricing model that can force organizations to make valuable tradeoffs that can compromise security.

An open architecture deployment with a modern security data lake and best-of-breed applications from Snowflake can solve these issues while improving security posture.

Download your copy of The CISO’s Guide to SIEM Migration to learn how to migrate security workloads to Snowflake. This guide will cover methods for:

• Migrating security logs and detections into Snowflake
• Conducting federated search across Splunk and Snowflake
• Converting queries from SPL to SQL
• Building security analytics and visualizations in Snowflake

Healthcare organizations continue to face significant challenges. Inflation has increased the cost of care for patients, and supply chain challenges persist amidst international conflicts and global financial challenges. Healthcare leaders are adopting a robust data strategy, with the modern cloud platform at its center. As a result, they are eliminating barriers to collaboration, making smarter, data-driven healthcare decisions, and speeding innovation.

Read this ebook to learn:

• Key use cases the Data Cloud solves for the industry
• How organizations like Anthem, Siemens Healthineers and Prisma Health are using the Data Cloud
• Snowflake’s Security and Compliance Reports
• Why a robust data strategy is critical for the industry

New research reveals how healthcare and life sciences companies are interacting with tools and features in the Snowflake Data Cloud. Understanding these trends can provide valuable insights to inform industry leaders’ business strategies, planning and technology investments over the coming year. 

Read the report to learn the latest in data and AI technologies for healthcare and life sciences industries, including: 

• The potential benefits and implications of gen AI on the industry 
• How healthcare and life sciences companies are getting more granular in their data governance
• How the industry is using data sharing to improve patient outcomes and solve clinical and business challenges

There are incredible opportunities for the healthcare and life sciences industry to use generative AI to make changes that will have lasting, positive impacts on society. Finding cures to address the climbing cancer rates worldwide is reason enough. But for many healthcare and life sciences executives, the excitement and promise of gen AI comes with a healthy dose of reservation and the need to think differently about their data and their data strategy.

Read this ebook to learn:

• The top gen AI use cases for healthcare and life sciences organizations
• How gen AI powers conversations with data, transforming how professionals access and interpret information
• The challenges facing the adoption of gen AI technologies in the industry
• Why gen AI requires a robust data strategy

How Comcast, Dropbox, Cedar Health and others detect threats and protect their organizations

Every year, the cybersecurity stakes get higher. As organizations face more sophisticated, persistent and unpredictable threats, forward-thinking security teams are creating well-rounded cybersecurity programs built on a data cloud platform to fortify their systems.

That’s why organizations of all sizes and industries are using Snowflake’s modern security data lake to make their cybersecurity goals a reality — whether it’s Centers for Medicare & Medicaid Services achieving a more cost-effective solution, Navan maintaining compliance or Figma automating workflows to solve problems more effectively.

Download “Secrets of Cybersecurity Success” to discover how Snowflake customers are achieving amazing outcomes, including how:

• Cedar Health expanded detections eightfold and accelerated query time by 50%
• Comcast increased endpoint detection and response coverage to 95% in just three days for one of its business units
• Dropbox scaled threat detection and response while reducing costs