Accelerate rapid innovation with AI and ML

In 2022, organizations and businesses across all industries will have new opportunities to personalize, scale, and invent more compelling customer experiences. They can also build deeper relationships

Discover the technology innovation stories which has helped capture new opportunities, grow revenue, and solve the big problems faced today and in the future. Join this session and uncover how machine

AI/ML techniques are increasingly important fundamentals to product delivery. In this session, we look at how companies are taking advantage of AI/ML capabilities to gain a competitive advantage throu

Reproducibility, traceability, explainability… the Machine Learning lifecycle for regulated industries is no easy feat, and building a data science platform for a bank or the government that supports

Supply chain operations are facing increasing challenges such as uncertainty, increased risk, changes to demand patterns, and disruptions. Legacy processes with manual decisions and structures are str

In this session, learn how industrial and manufacturing customers embed intelligence in their production processes to improve operational efficiency, quality control, security, and workplace safety. B

Customer experience remains one of the most important strategic measurements for organizational performance but keeping pace with customer behavior can be challenging. Amazon Connect is a simple to us

Organizations hold large amount of business data in different formats and structures, used by various stakeholders. These organization-wide data vary largely on data origin, formats, language and cont

Business fraud is a growing concern across online and offline transactions. Fraud, anomaly detection and promotional abuse are one of the most important use cases for the Fintech startups. This sessio

Do you want to use computer vision in your projects, but find the idea of training a custom neural network model daunting? Have you used pre-trained computer vision models, but find that these models

The daily volume of User Generated Content (UGC) and third-party content has been increasing substantially across industries and platforms such as social media, social gaming, online forums, dating &

The field of natural language processing (NLP) is developing rapidly, and NLP models are growing increasingly large and complex. Through strong ecosystem partnerships with organizations like Hugging F

Across a wide range of industries, there are a diverse set of use cases driving requirements for running intelligent applications closer to the consumers. These use cases range from personalized compu

Amazon SageMaker is a fully managed service that provides every developer, business analyst, and data scientist with the ability to prepare build, train, and deploy machine learning (ML) models quickl

Machine learning helps us find patterns in data—we then use the patterns to make predictions about new data points. Machine learning models are only as good as the data that is used to train them. Aft

Amazon SageMaker helps data scientists and developers to prepare, build, train, and deploy high-quality machine learning (ML) models by bringing together a broad set of capabilities purpose-built for

In this session, learn how to reduce time and cost to train and tune machine learning (ML) models without the need to manage infrastructure. We explain how Amazon SageMaker can easily train and tune M

Machine learning is increasingly used to assist decision making in financial services, education, transportation and healthcare. As decision support systems become more automated, there is a prevailin

Many customers have ML applications with intermittent or unpredictable traffic patterns. Selecting a compute instance with the best price performance for deploying machine learning (ML) models is a co

MLOps practices help data scientists and IT operations professionals collaborate and manage the production ML workflow, including data preparation and building, training, deploying, and monitoring mod