Machine learning at scale

Share this Flipbook

Machine learning (ML) has become a core technology ingredient for organizations to drive real-world innovation, yet many are struggling to bring more ML models into production in a repeatable and responsible way. Read our eBook, Machine Learning at Scale: High-Performance, Low-Cost Machine Learning for Any Use Case, to learn how you can:

Democratize machine learning by empowering more users to generate predictions
Leverage AWS customer stories to inspire ML success
Use MLOps practices to bring models from idea to production
Process all types of data at scale to make more accurate predictions

Previous Flipbook

Accelerate business growth with machine learning

Machine learning (ML) has become a core component of operations within growth-minded companies, unlocking n...

Next Flipbook

Achieving transformative business results with machine learning

By providing the broadest and most complete set of machine learning (ML) services, AWS is able to meet its ...

Other content in this Stream

59:03

Opening: Innovate faster Reinvent your organization with data and machine learning (Level 100)

Machine learning at scale

Previous Flipbook

Next Flipbook

Other content in this Stream

Data is at the center of every application, process, and business decision and the foundation to delivering greater value. Organizations who are successful in extracting insights from their data are a

The most common value organizations are hoping to get from their data is smarter decision-making to create better products and services, transform customer experiences, improve operational efficiencie

Join Swami Sivasubramanian, Vice President, Data and Machine Learning, AWS, as he showcases the latest AWS innovations that can help transform your company’s data into meaningful insights and actions

Data can be an invaluable source of growth for organizations. The key to harnessing its true value is analyzing it effectively and creating a data-driven culture.

Businesses have the opportunity to unlock significant value across the organization with the help of machine learning and AI. Follow the proven path to machine learning success. Read the Machine Learn

Move beyond the hype and discover the tangible benefits of machine learning. In this e-book, we have outlined seven leading use cases where businesses have successfully applied machine learning to ach

Machine learning (ML) has become a core component of operations within growth-minded companies, unlocking new opportunities and resolving key challenges.

By providing the broadest and most complete set of machine learning (ML) services, AWS is able to meet its customers wherever they’re at in their ML journeys and help them achieve specific objectives.

Organizations are looking to derive greater value from their data to increase agility, improve efficiency, and accelerate innovation. While data is abundant and growing rapidly, just producing or stor

Many organizations know they need AI/ML to create unique competitive advantage, drive better customer engagement, and deliver desired business outcomes. While some are reaping the benefits from the tr

Amazon is the world’s biggest corporate buyer of renewable energy and needs to ensure sustainability is at the heart of all of its operations in order to meet its carbon emission targets. An area it i

AI and ML hold the promise of transforming industries, increasing efficiencies, and driving innovation. The key to machine learning success is scale. This session covers how executives and managers wh

AI/ML techniques are increasingly important fundamentals for organizations looking to transform and deliver their objectives. However, applying AI/ML in the right place is not easy. Join this session

Reproducibility, traceability, explainability have become the fundamental requirement in the machine learning lifecycle for regulated industries. But building a data science platform for a bank or the

The widespread adoption of mobile services, new digital native market entrants, adapting to generational shifts, and critical industry requirements on regulatory compliance make it challenging for fin

When it comes to customer communications, it is not surprising that personalization is the best way to ensure engagement with customers in the long run. Customers are more likely to give their attenti

Whether your organization is starting on its AI/ML journey, or has a large number of projects in production, it is vital to have secure environments that protect your data. In this session, we share h

Over the past decade, NVIDIA has been able to illustrate the effectiveness of its GPUs across the board for both deep learning training and inference. As these models become larger, the inherent need

How can you get the most accurate and specific answers in search queries when the answers may require you to sieve through large volumes of distributed data sources? In this session, we show how to us

While text and semantic search engines has enabled many organizations to search for information quickly, organizations that offer unified text and image search engines can provide competitive advantag