Resource Categories: EBook

Discover how telecoms are using the AI Data Cloud to deliver AI innovation, operational efficiency and increased revenue.

Telecom companies are under tremendous pressure today. With high overhead expenses, shrinking profit margins, and consumer demands, telecoms must innovate or risk losing to the competition.

To meet today’s challenges, telecoms need leading-edge tools and technology to transform their business and tackle their toughest pain points. In this ebook, you’ll learn how telecoms are adopt the Snowflake AI Data Cloud to:

• Maximize operational efficiency
• Deliver secure AI solutions
• Power personalized customer experiences
• Monetize data to drive revenue

Get the ebook now.

No matter what kind of data application your startup is building, you need a data stack architecture that can handle the ups and downs of a growing business. A modern cloud data platform delivers the performance and nearly infinite autoscaling that startups need to launch and scale applications quickly and cost-effectively.

The Snowflake platform provides high-performance and unlimited concurrency, scalability with true elasticity, SQL for structured and semi-structured data, and automatic provisioning, availability, tuning, and data protection that takes the operational burden off SRE/ DevOps teams.

This ebook provides detailed reference architectures for seven use cases and design patterns that matter to startups, including:

• Embedded Analytics
• Serverless and Streaming Data Stack
• ML and Data Science
• Customer 360

Download the ebook and get the guidance you need to efficiently build your business on Snowflake.

Few technological advances in recent memory have captured the corporate imagination as rapidly and completely as generative artificial intelligence (AI) has.

Yet many people are struggling to differentiate between existing machine learning and AI applications and generative platforms, to understand generative AI’s significance and its place in the enterprise, and to develop an AI strategy that ensures that the company is not left in the dust of its AI-enabled competitors.

Despite operating in one of the most highly regulated industries, financial services companies sit at the forefront of technology adoption, particularly when bleeding-edge, high-performance computing can be combined with massive-scale data volumes to create competitive advantages.

This TDWI Insight Accelerator examines use cases for generative AI specific to the financial services industry, overall concerns about adopting generative AI, challenges that must be overcome, and advice for planning and executing an enterprise AI strategy.

In a world of evolving challenges, manufacturers must constantly strive to streamline supply chain operations, navigate global shifts, enhance collaboration, and create customer value. Recent disruptions to global supply chains, like the monumental Suez Canal blockage which cost nearly $400 million an hour, underscore the need to move beyond legacy systems and find innovative solutions.

Download this ebook to explore the current challenges facing manufacturers and the top three cloud manufacturing trends essential for building supply chain resilience.

The ebook will cover:

• Cloud Migration: Explore how migrating to the cloud with AWS and Snowflake amplifies efficiency, flexibility, and scalability, even in the face of disruptions.
• Cloud-Enabled Smart Factories: Dive into the world of smart factories and emerging technologies like AI, IoT, and digital twin.
• Centralized Data Management: Learn how centralized data platforms fortify resilience, facilitate data sharing, and improve decision-making.

In collaboration with: 

A healthier approach to data analysis

The amount of data available for analysis is expanding rapidly in healthcare, but challenges such as siloed data sources, lack of BI tools, and disconnected data models hamper organizations from leveraging that data to promote better care and improve health.

Our innovative, industry-leading HealthMAP solution, engineered with Snowflake and delivered by Deloitte, is a flexible and secure analytics platform that aggregates your complex and diverse data sets to deliver cutting-edge analytics across crucial dimensions of healthcare.

With HealthMAP, state healthcare agencies can:

• Determine potential issues with spending, access to care, disease burden, and health equity
• Uncover potential sources of fraud, waste, and abuse
• Generate comparative performance analytics for managed care organizations (MCOs), providers, and vendors
• Provide foresight on enrollment, spend, and member acuity with predictive analytics
• Foster collaboration with partner agencies, MCOs, and the federal government

Download the partner brief to learn more.

Communications service providers (CSPs) have vast amounts of customer and network data and have long aspired to leverage it to create new revenue streams beyond traditional connectivity services. But they have yet to make the most of monetizing these assets, as we explore in this ebook.

Read it to find out about:

• How operators make money from data today, including examples of mobility data product services where operators use anonymized and aggregated data.
• Why telcos still see a future in advertising and how they’re pursuing it
• The opportunities telcos see for increasing the value of data by sharing it with partners and customers

Across thousands of clients, dozens of vendor partners, and more than a decade of experience, Snowflake has gained significant insight into the migration process—and what makes it most successful. We’ve come to understand why businesses seek a change and the most important questions to ask before they begin migrating from their current database to Snowflake. In this ebook, we outline five key questions enterprises should ask as they assess the need for migration and their readiness to make the move.

1. Does my warehouse have fast analytical performance?
2. Am I experiencing problems with workload management?
3. Is my platform truly scalable?
4. Can I quickly enable data sharing?
5. Am I charged for more than I actually need?