Data Trends 2025: Public Sector

For public sector leaders in Australia and New Zealand, constant transformation is the new normal. As organisations navigate rapid shifts in leadership, operations, and regulations, 2025 offers a unique opportunity for impactful change, especially with a growing focus on accessibility.

Why do some agencies adapt better? Effective data management. This is where data does more.

Leaders using data-driven strategies and emerging technologies boost efficiency, deliver superior services, and meet evolving constituent needs.

The Sydney Local Health District (SLHD) is a prime example: by centralising existing data and adopting advanced solutions with minimal investment, they quickly access and analyse information. This empowers them to meet executive and constituent needs without major projects, leading to faster, more accurate decisions—like cutting critical maternity data report times from hours to under a minute—and improving clinical and operational outcomes annually

This report highlights key trends shaping the public sector landscape, illustrating how leaders address them with real-world examples and insights like SLHD:

  • Data modernisation for greater efficiency: Modernising data infrastructure streamlines operations, reduces costs, and enables data-driven decisions for better services and fraud prevention.
  • Increased data collaboration: Breaking down silos and securely sharing data across agencies and partners for better insights and outcomes.
  • AI improving service delivery and operations: Adopting AI for enhanced service delivery (e.g., chatbots), improved fraud detection, optimised planning, and stronger cybersecurity.

Telecom AI Transformation: Comprehensive Strategy and Use Cases


Practical insights on telecom AI transformation and how Snowflake is leading the way

Leading telecoms like AT&T, T-Mobile and Globe trust Snowflake. Learn why.

As the telecom landscape continues to rapidly evolve, service providers need a roadmap to key use cases and insights into the latest AI capabilities.

Read this definitive ebook to learn:

  • Key AI use cases such as network optimization and improved customer experience powered by Snowflake
  • Snowflake’s powerful ROI across the tech value chain
  • The latest in Snowflake’s broad telecom ecosystem of customers, services and applications

Generative AI in Manufacturing: 4 Things You Need To Know

Generative AI is revolutionizing the manufacturing sector, driving unprecedented levels of innovation and efficiency. When implemented at scale, gen AI can streamline supply chain processes, improve demand forecasts, support sustainability goals and, ultimately, drive higher profits.

Read this ebook to learn:

  • Top gen AI use cases for manufacturing companies
  • 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

Generative AI in Retail and Consumer Goods: 4 Things to Know

The era of generative AI is driving unprecedented investment and change in the retail and consumer goods industry. When implemented at scale, gen AI can empower faster and better-informed decisions, create personalized customer experiences, streamline supply chain process, and, ultimately, drive higher profits.

As with any technology, however, gen AI comes with its own set of risks and challenges, causing retail and consumer goods companies to approach it with a mix of excitement and caution.

Read this ebook to learn:

  • Top gen AI use cases for retail and consumer goods companies
  • 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

Secrets of Gen AI Success

Despite the soaring promises of AI over the past few years, Harvard Business Review reports that up to 80% of AI projects fail to make it into production.

Though many organizations are finding gen AI’s biggest promises to be more aspiration than reality, some businesses are overcoming common obstacles to unleash the potential of AI. These leaders are lowering the AI barrier to entry by building on an already robust data foundation that manages costs, reduces operational burden, and helps them stay agile to meet evolving needs. 

And they’re achieving these goals — and more — with Snowflake’s versatile, powerful platform that makes AI easy, efficient and trusted.

Download your free copy to explore how organizations of all sizes and industries — from Bayer to Coda — are leveraging Snowflake and generative AI to accomplish amazing outcomes, including:

  • TS Imagine saving over 4,000 hours of manual effort a year while cutting costs by nearly a third
  • Siemens Energy accelerating R&D by using an AI chatbot to quickly surface and summarize more than 700,000 pages of dense documents
  • Sigma increasing sales efficiency and closing deals faster through predictive sales analytics

How Financial Services Leaders Can Adopt a Scalable Generative AI Strategy

No other industry has embraced advanced data-driven technology like financial services has. Machine learning and AI power cybersecurity and fraud detection operations in both payment and banking. High-performance computing pairs with AI models to identify patterns that generate alpha for asset managers and investment banks. All of these advances help financial institutions to get an edge and efficiently scale products and insights. 

Now with generative AI (gen AI) developments coming at warp speed, what do C-Suite executives and technology leaders need to know to implement a gen AI strategy that will deliver value and also grow with their financial organization? 

Download this ebook to learn how financial services can craft an effective gen AI strategy, including: 

  • Industry-specific use cases for gen AI
  • Technical and organizational challenges financial services institutions may face when implementing gen AI
  • Actionable steps to take to maximize gen AI’s impact for your organization

The Essential Guide to Cloud AI and Data Platforms

Today’s businesses are flooded with data — from enterprise applications to IoT devices. Traditional solutions struggle to manage the scale or diversity of modern data, let alone harness it to unlock AI-driven innovations and streamline application development.

“The Essential Guide to Cloud AI and Data Platforms” explains how flexible storage for diverse data types, elastic computing power, built-in AI services, governance, and administration are needed to unlock the full potential of your data across regions and clouds.

Get your copy of “The Essential Guide to Cloud AI and Data Platforms” to learn:

  • What a cloud AI and data platform is, and what makes up its core components and architecture to support advanced analytics, AI, machine learning, and application development.
  • How to choose the right cloud AI and data platform, including scalability, flexibility, and cost-efficiency considerations.
  • How cloud AI and data platforms deliver real-time insights, reduce infrastructure complexity, and optimize operations.
  • How cloud AI and data platforms are benefiting industries like healthcare, finance, manufacturing, and more by improving efficiency, decision-making, and personalization.

SNOWPARK CONTAINER SERVICES SECURITY ARCHITECTURE

Snowpark Container Services is a fully managed container service that securely deploys and manages custom models and applications (packaged as containers) in configurable CPU and GPU compute instances. It allows you to securely run anything, any code, any processing, right next to your data without worrying about the infrastructure.

Snowpark Container Services simplifies and hardens traditional container services, allowing you to focus on applications without bearing the burden of infrastructure provisioning, orchestration, hardening, patching, or updates. In this white paper, you will learn more about –

1. Snowpark Container Services
2. Data governance and security in a single Snowflake platform
3. Snowpark Container Services security architecture

And more! Download your copy now.

9 Ways AI Can Uplevel Your Business Right Now

To develop a solid AI strategy, businesses need to find practical applications of AI and the tools to effectively execute them. In this ebook, we discuss nine ways businesses across industries are leveraging AI to gain a competitive edge, all within the AI Data Cloud.

Read this ebook to learn:

  • How generative AI can help streamline your business operations
  • How to create and use custom predictive ML models to enhance strategy and insights
  • How to get started with using AI in Snowflake

The Basics: AI Data Cloud for Telecom

At Snowflake, we’re leading the way in helping telecom companies securely and compliantly innovate and deliver better business results by leveraging their vast amounts of data and AI. This ebook explores the Snowflake AI Data Cloud for Telecom and Snowflake’s AI capabilities as well as the innovative and exciting ways our telecom customers are unlocking the value of data to transform their business.

Read this ebook to learn:

  • Business-critical use cases solved by the AI Data Cloud
  • The key features of the AI Data Cloud for Telecom
  • Customer success stories powered by Snowflake