AWS for Industries
Author: Krishna Doddapaneni
Krishna Doddapaneni is an AWS Worldwide Technical Lead for Industry Partner in IoT helping partners and customers build crazy and innovative IoT products and solutions on AWS. Krishna has a Ph.D. in Wireless Sensor Networks and a Postdoc in Robotic Sensor Networks. He is passionate about ‘connected’ solutions, technologies, security and their services.
Future-proof Your AI at the Edge with AWS
In the rapidly evolving field of IoT in manufacturing and transportation domains, machine learning features create significant value. By utilizing machine learning at the edge, manufacturers can gather insights faster, identify trends, identify patterns, and detect anomalies, all resulting in enhanced security and safety and cost savings. Amazon SageMaker is a fully managed service that […]
Centralized IT/OT Data Management using Element Unify and AWS Industrial Machine Connectivity
To remain competitive, industrial customers need to digitally transform to maximize productivity and asset availability, and to lower costs. To do this, these companies aim to liberate data from legacy operational technology (OT) systems and leverage new tools in the cloud—like machine learning (ML) and artificial intelligence (AI)—to glean new insights from their data. With […]
Securely Ingest Operational Data from Historian and SCADA platforms like CygNet to Cloud-based Analytics Systems in real-time with AWS Industrial Machine Connectivity (IMC) for Energy using ISV Edge Connectivity solutions like Embassy of Things (EOT) TwinTalk Express
This is part 2 of our blog series on transforming production operations. Part 1 of this series on our anchor customer bpx energy implementation can be found here. The global energy industry is undergoing a fundamental transition to net-zero energy systems and sustainable practices. Simultaneously, upstream energy companies are high-grading their portfolios and optimizing performance […]