Amazon SageMaker enables you to quickly and easily build & deploy machine learning at scale. Tune in to learn what organizational transformation powered by ML looks like.
From talk to tangible. A real-world guide to machine learning is a guide to help you cut through the hype a...
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Get tips on how your business can increase agility and maximize the value of your data. Learn how you can use data to improve decision making, drive innovation, and accelerate business outcomes.
Based on a combination of survey research and in-depth executive interviews, this report explores how organizations today are using data to drive business value.
The information covered in this paper helps organizations on their data-driven reinvention journeys and helps them avoid common pitfalls strategically.
Building a data strategy is imperative for organizations that want to stay relevant now and in the future. Harness your data to reinvent your organizations.
Companies need to devote attention to classifying and certifying analytical jobs they have and need to use analytics to improve both operations and opportunities for digital innovation.
Businesses want more value from their data. AWS provides open, secure, scalable, and cost-effective infrastructure that enables easy-to-build data lakes and analytics.
Growing migration to cloud platforms and services, along with advances in artificial intelligence (AI) and ML, are accelerating analytics initiatives and helping overcome previous barriers to data.
Explore challenges organizations face in establishing a data-driven culture and the four critical steps to begin to shift the mindset to treat data as a strategic asset to improve operations/growth.
This guide outlines the importance of building a strong data foundation so leaders are equipped to make data-driven decisions to respond to new opportunities faster.
In this case study you will learn how AWS has been instrumental in AstraZeneca’s internal infrastructure as a service strategy — helping the organization rapidly spin up new systems and environments.
This eBook highlights the benefits of migrating data infrastructure to the cloud, the different data infrastructure to be migrated, and how migrating can save time, cut costs, and drive innovation.
In this eBook, learn from leading organizations on how they used data, analytics, and machine learning to reinvent themselves. Start or expand your data journey now to accelerate innovation.
This eBook explores factors driving digital transformation and business reinvention, reviews the imperatives for modernizing data infrastructure, and provides infrastructure components for success.
Learn the limitations of running legacy data analytics infrastructure on-premises, the Lake House approach that brings together the best of both data lakes and purpose-built data stores, and more!
Discover the full machine learning journey in 6 steps, learn how to transform investments into business-differentiating solutions, get insights from AWS machine learning experts, and more!
The Data Flywheel: Break free from legacy databases, move to managed services, modernize your data warehouse, build modern applications with purpose-built databases, and turn data into insights
The Data Flywheel: Building momentum by putting your data to work. Take a comprehensive approach to getting the most value from your data, one project at a time.
Migrating to the cloud is the first step toward entering the era of purpose-built databases. But once in the cloud, how do you know which types of databases to use for which functions?
Read our eBook to learn about “the Data Flywheel,” a comprehensive approach to managing your data strategy and extracting the greatest possible value from your business information. Discover how...
Organizations that successfully generate business value from business data will outperform their peers. This timely eBook provides key insights your teams can use to create modern analytics...