Steve Blackwell

Manufacturers are transforming products into connected, intelligent offerings that deliver proactive, personalized customer experiences. Discover how AWS helps you build, connect, and monetize smart products at global scale.

In this session, discover how cloud computing can shorten the development lifecycle for new products. We will demonstrate this by building a product lifecycle digital thread and using real-world connected product data to iterate on design.

Discover how Caterpillar's innovative GIS solution is revolutionizing construction and mining operations through advanced geospatial intelligence. By integrating real-time data from 20,000+ connected assets, this cloud-native platform delivers terrain modeling with 2-centimeter precision.

To harness the value of data, manufacturers need more than a single database, data lake, or business intelligence service. They need to implement an end-to-end data strategy.

In this chalk talk, dive deep into the architectural patterns and best practices of building a factory OS for smart operations and smart factories. Learn about patterns for data ingestion, storage, and contextualization; edge considerations for reduced latency and applications; and machine learning development.

Traditional manufacturing execution systems (MES) are historically based on rigid, legacy technology–based systems or even more challenging paper-based inputs. Manufacturers often perceive MES digital transformation as slow, complex, and expensive.

Bring your laptop and basic console knowledge to this hands-on workshop to get direct experience applying AI and ML to industrial operations use cases such as predictive quality and rotating equipment condition monitoring. Learn how to use a sample product quality image dataset to build and train an ML model with Amazon Lookout for Vision to detect quality issues on a production line.

Hear how Amazon applies OT security in fulfillment centers in this chalk talk, which dives deep into AWS OT security best practices for building an industrial hybrid cloud environment. Smart factory technologies like IoT, machine learning, and data lakes are rapidly evolving and allowing industrial companies to deliver solutions that drive business outcomes.

Traditional manufacturing execution systems (MESs) are historically based on rigid, legacy technology-based systems or even more challenging on-paper-based inputs. Manufacturers often perceive MES digital transformation as slow, complex, and expensive.

Many manufacturers are looking to enhance their customer experiences, improve quality, and generate new revenue streams for their products with smart services. Learn how to build smart, connected product or machine offerings on AWS using IoT and machine learning services.

As more consumer products are embedded with sensors that allow communication and data transfer between the product and the manufacturer, customers need architecture to onboard, protect, and monitor device fleets. In this session, we cover best practices for creating this architecture and use the decisions that were made when creating the AWS smart product solution as a guide.

The importance of industrial IoT within smart factories and the digital transformation of Manufacturing companies is becoming paramount in enabling connectivity and data ingestion from the factory to the cloud. In this session you learn how to use AWS Greengrass connectors to integrate the edge with industrial protocols and use AWS IoT Events and AWS IoT Analytics to build an asset condition...

The digital transformation of the manufacturing industry is being enabled by the innovation, scalability, flexibility, and velocity of the cloud. The manufacturing reference architecture outlines how manufacturing applications are integrated in the cloud to build Smart Factory and Smart Product solutions using technology such as machine learning and the edge.

The importance of industrial IoT within smart factories and the digital transformation of Manufacturing companies are becoming paramount in enabling connectivity and data ingestion from the factory to the cloud. In this session you learn how to use AWS IoT Greengrass connectors to integrate the edge with industrial protocols and use AWS IoT Greengrass, Amazon Kinesis, and Amazon SageMaker to...

In this session, get hands-on and learn how to build a manufacturing data lake with industrial data from a smart factory. Deploy components from the manufacturing reference architecture into a data lake, then analyze and visualize that data for business insight.