Resource Categories: EBook

Learn how a number of educational institutions overcame challenges and capitalized on opportunities by using the Snowflake Data Cloud to:

• Optimize data platform modernization
• Accelerate modern data sharing and collaboration
• Boost student engagement and success
• Advance university research
• Improve alumni engagement and fundraising
• Drive operational efficiency
• …and power artificial intelligence and machine learning.

With Snowflake, these institutions gain easy access to nearly all their data, streamlined their statistical analyses, and produced predictive and prescriptive models to make decisions on complex issues backed by constantly-evolving data insights.

Changes to the financial services industry have intensified since the pandemic, with dramatic shifts in customer demographics, consumer purchasing trends, prioritized digital transformation, and changing regulations. 

For banks and payment providers, cloud-based data strategies have become essential in uncovering actionable analytics insights that improve organizational transparency, security, and efficiency to better compete in the new data-driven environment of today.

Inside this ebook, you’ll find how bank and payment cloud data strategies enable companies to: 

• Enhance personalized customer experience from acquisition to onboarding to retention
• Improve security to mitigate fraud and cybersecurity risks
• Solve regulations and compliance issues with ease

Recent technology advancements are poised to significantly impact the way in which data scientists and data analysts work.

In 2023, six trends have the potential to accelerate machine learning (ML) and move organizations from descriptive and diagnostic analytics that focus on what happened and why, toward predictive and prescriptive analytics that instead forecast what will happen and provide powerful insights on how to change the future.

In this ebook, you will learn how:

• Unified infrastructure supporting multiple programming languages is allowing data scientists, data engineers, and data analysts to leverage the maximum potential of each 
• Feature stores enable data scientists to manage and deploy ML features at scale by delivering reproducibility, discoverability, and scalability
• Data analysts and scientists are increasingly able to utilize the power of systems once reserved for ML engineers in order to facilitate and participate in more efficient production processes
• Increasingly accessible web app development in Python is empowering data scientists to make their models more comprehensible and actionable 
• Rapid advancements in open source libraries, tools, and frameworks demonstrate the need for a solution that prepares data science and ML investments for the future
  

Advertising, media, and entertainment companies are facing increased competition as consumer behaviors increasingly change in response to a wide variety of factors. The industry relies on a wealth of consumer data to understand how to best personalize each consumer’s experience to attract and retain subscribers. But that data is spread across the different tools, teams, and technologies, and businesses are reluctant to share data with each other due to increasing consumer privacy concerns and regulations.

The industry is poised to meet today’s data challenges. Read on to learn about the four trends transforming advertising, media, and entertainment that will be shaping the industry in the year to come.

Check out this ebook to learn:

• Why data collaboration is becoming a necessity
• The leading-edge technologies shaping the industry now
• The growing importance of data science and third-party data
• Why data privacy and governance remain critical

Get the ebook now.

For Manufacturers, market conditions remain challenging. Soaring energy costs and global supply chain disruption have all conspired to send supply and demand order books and output on a rollercoaster ride.

With uncertainty set to continue in the sector, the leaders of these businesses are on a mission to build more resilience into their operations and to identify new opportunities for growth. Many see advanced analytic technologies as their best chance of achieving these goals.

Using data analysis to streamline operations isn’t a new concept for most manufacturers, but many rely solely on an on-premises infrastructure that isn’t up to the task of processing, storing and analyzing the variety and volume of data generated by today’s manufacturing operations.

Learn how Manufacturers are leveraging analytics to:

• Increase efficiency across the supply chain 
• Improve quality and speed of production 
• Power IoT innovation with sensor and device data analysis 

State and local governments possess a wealth of data that holds enormous potential to drive mission success — if they can activate it. To leverage AI and unlock value from their data, governments need a scalable and flexible data infrastructure to securely centralize, govern and share mission-critical data. With a modernized data foundation and the power of AI and ML, government agencies can:

• Achieve a citizen 360
• Enable secure data sharing and collaboration
• Combat fraud, waste and abuse
• Boost transparency with financial analytics, and more

Get the ebook now.