Implementing MLOps with Amazon SageMaker

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

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

Analyzing, transforming and preparing large amounts of data is a foundational step of any data science and ML workflow. This session shows how to build end-to-end data preparation and machine learning

Organizations have millions of physical documents and forms that hold critical business data. These documents, such as insurance claims or loan applications, have structured and unstructured data that

Documents come in various file types, varied formats, and contain valuable information. The extraction and processing the documents can be time consuming, prone to error, and costly. In this session,

Forecasting future demand accurately with AI/ML has numerous benefits across different functions including increasing sales, improving capacity utilization and inventory turn-over, and enhancing custo

Companies are integrating AI/ML solutions to their business to stay ahead of competition. However, machine learning can be hard and often requires specialized skillet. It begins with collecting and pr