Data Trends 2024: Advertising, Media and Entertainment

New research reveals how advertising, media and entertainment 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 the industry, including: 

  • The potential benefits of gen AI for the industry and the dramatic rise in Python use and what it means
  • How the industry is tapping into unstructured data
  • How advertising, media and entertainment companies are getting more granular in their data governance

The Essential Guide to Generative AI

Not too long ago, the term “generative artificial intelligence” (gen AI) was known only to data scientists and machine learning specialists. Now it’s a topic of cocktail party conversations, comedy monologues and congressional hearings.

Today there is a frenetic new frontier. Companies from every industry are scrambling to develop their own gen AI products and make sure they have a data strategy in place.

But enterprises are still grappling with how to tap into the enormous potential of this technology while avoiding the pitfalls. To understand how gen AI can improve productivity and drive business decisions — while skirting the biggest potholes of possible reputational danger — it helps to understand how the technology works and how we got here.

Download The Essential Guide to Generative AI to learn:

  • The history of generative AI and how its “iPhone moment” came to be.
  • What enterprises need to consider before developing their gen AI strategy.
  • How major companies like Deloitte and Snowflake are helping companies navigate this new revolution.

The Modern Data Streaming Pipeline

Top analytical streaming reference architectures and use cases across 7 industries 

Across various industries, streaming data and analytics play a crucial role in making better-informed decisions, leading to better outcomes, faster. But for data to be valuable to the business, it needs to be ingested from diverse sources with low latency, which can be a challenge that requires organizations to strike a balance between latency and cost.  

Snowflake engaged with customers across seven diverse sectors to learn more about how they’re addressing these challenges and achieving streaming success. 

Download “The Modern Data Streaming Pipeline” to discover:

  • Top analytical data streaming use cases across seven industries — and why they’re beneficial 
  • Recommended streaming reference architectures that optimize performance and efficiency for these high-demand use cases 
  • Key partner solutions designed to help data flow quickly, smoothly and reliably in a variety of environments and architectures

Top Five Data Science and Generative AI Trends for 2024

In the generative AI era, having a comprehensive data strategy is more critical than ever

In 2023, generative AI (gen AI) stepped into the tech and cultural spotlight. Though the large language models (LLMs) that serve as the foundation for gen AI tools have been in development for years, chatbots, like OpenAI’s ChatGPT, emerged seemingly overnight.

Along with this milestone came the increasing recognition that data is the fuel that makes gen AI work—and that comprehensive data governance and efficient data management can determine the success or failure of an enterprise AI project.

2024 promises to deliver even broader adoption of such tools alongside more substantial investment, as innovations continue to emerge at breakneck speed, and the way data scientists and data analysts work continues to change.

In this ebook, you will learn about five emerging trends that organizations can use to inform their data strategies and accelerate their AI efforts. Specifically how:

  1. Organizations are prioritizing getting their data house in order
  2. Vector and feature stores will begin to live side by side to manage AI data
  3. General-purpose chatbots will be supplanted by task-tuned counterparts
  4. A new breed of AI apps will emerge from LLMs
  5. Open source will continue to be a catalyst for innovation

Top 3 Telecom Takeaways from Mobile World Congress 2024

Discover the top three takeaways from the world’s most influential connectivity event of the year, Mobile World Congress (MWC) Barcelona. In case you couldn’t make it or you missed some of the activities, we have you covered with a look at our top three takeaways:

  • Telecoms are getting serious about gen AI
  • The telecom data strategy is evolving
  • Data collaboration: The sustainable competitive advantage

Data Trends 2024: Financial Services

New research reveals how financial services organizations 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 the financial services industry, including: 

  • How to leverage generative AI and large language models (LLMs) for financial services
  • The latest in data governance measures, unstructured data usage and Python adoption and what it means for the industry
  • How financial companies are using data sharing and collaboration to solve critical business challenges

Optimizing Supply Chain Performance and Resilience

In this e-book, we’ll highlight new ways Snowflake and Microsoft Azure are addressing the most challenging supply chain issues across three industries: manufacturing, consumer goods, and healthcare and life sciences. You’ll see how Snowflake on Microsoft Azure paves the way to a unified data strategy that leverages AI to solve key supply chain challenges. For each industry, we’ll share tools and strategies that:

• Drive visibility upstream and downstream by eliminating data silos.

• Leverage AI to improve planning accuracy.

• Improve product quality, service, and market growth with connected product data.

Building Applications with Snowpark for Dummies

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

Manufacturing Best Practices Guide: Unlocking SAP Data Analytics in Snowflake

Manufacturers rely on systems that can accurately capture their processes, products and dependencies, efficiently handle transactions, scale well and provide cost-effective analytical capabilities. By moving existing on-premises transitional system to the cloud, manufacturers can save on costs, enable better visibility on their spend and provide more flexibility and capacity to their analytics.

Read this ebook to learn how Snowflake:

  • Helps unlock advanced analytics with ERP data
  • Partner solutions streamline data ingestion from ERP systems to Snowflake
  • Improves manufacturing and business processes by eliminating data silos

Amp It Up: Free Chapter

When people ask me about my secret to success, they may be surprised that the explanation is so simple. Anyone can do it. Most organizations are underperforming, whether their people realize it or not. The secret to amping it up is finding the slack that naturally exists and eliminating it by setting bigger goals, a faster pace, and a higher intensity. It’s about pushing the organization to perform at a much higher level and reaping the results of your amplified efforts.  

This field book’s activities will help you create a concrete path to executing the ideas and guidance in Amp It Up. If you haven’t amped it up before, you may need to prepare yourself for the magnitude of change you are pursuing. To this end, some of the exercises will help you shift your mindset, so you can be ready to make a major impact on your organization or team.