Monthly Archives: April 2024

Generative artificial intelligence (AI) is poised to transform practically every type of work. The potential of generative AI lies in its ability to automate development of every type of knowledge-based output. In the process, generative AI can boost the operational efficiency of many business processes that traditionally have relied on manual human efforts, as well as augmenting the productivity of humans in many knowledge-intensive functions.

This TDWI Insight Accelerator focuses on current enterprise practices and key steps your organization can take to unlock the potential of generative AI.

As competitive pressures increase, many organiza­tions want to leverage higher volumes of diverse data for analytics and new appli­cations, including real-time and streaming data.

Streaming data refers to data that is gener­ated continuously in a stream, typically at high volume, either at regular or irregular intervals. Working with streaming data may involve capturing multiple streams for later analysis or processing, or analyzing one or more streams in real time—for example, to immediately capture data that deviates from the norm.

Snowpark, Snowflake’s developer interface, enables full programmability with Python, Java and Scala languages. Customers see a median of 3.5x faster performance and 34% cost savings with Snowpark over managed Spark. When using Snowpark you can expect:

• No trade-offs on governance when using Python libraries
• Better price-performance
• Reduced operational costs and time requirement for your data engineering teams
• Minimal code change when migrating from Spark

Build Apps Quickly and Cost-Effectively With Snowpark

Today’s organizations are building modern data-intensive and AI-enriched applications to gain a competitive advantage. But there are major compute challenges involved in processing large volumes of complex and dynamic data from different sources, analyzing it with AI and ML models, and presenting insights so that customers or employees can make better decisions and perform smarter actions.

This book reveals how Snowpark leverages the Snowflake Data Cloud to help developers overcome these challenges to build, deploy, and monetize applications quickly, easily, and cost effectively.

Highlights include:

• What modern applications require
• Using the Snowflake Data Cloud to develop apps
• Why use Snowflake to build apps
• What you can build with Snowpark
• The benefits of building with Snowpark
• How to get started with Snowpark

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-fueled technology on the enterprise
• How these technologies will transform open source—and vice versa
• The enormous implications of advanced data modeling on cybersecurity

Every application category is being reinvented by the emergence of new, data-intensive applications. The pace of innovation is only increasing with new breakthroughs in AI and application development. Come see the startups at the cutting edge of this new frontier demo their products for premier VCs.

Join us for a virtual Snowflake Startup Demo Day to:

• Hear investors from Sutter Hill Ventures, BPI France, Pitango, Index Ventures, EQT Ventures, Hoxton Ventures, Bessemer Venture Partners and Earlybird Venture Capital engage with startups that are Powered by Snowflake.
• Watch four disruptive startups demo their products, ranging from generative AI for data to leveraging advanced machine learning models to tackle cloud threats.
• Learn about the data app trends that are driving venture capital investment.