Edge Computing and IoT in a Connected AI Healthcare Ecosystem

AI in healthcare now involves the use of machine learning algorithms and patient data fed in timely ways to these algorithms. IoT is making its way into hospital devices and equipment and is sending this data to computing facilities for AI to work its valuable guidance on it. This consistent data flow streamlines the patient experience by producing inferences from multiple data points, which help to guide and improve healthcare management capabilities with information and data while handling patients, equipment, and procedures.

Infusion of Machine Learning Operations with Internet of Things

With advancements in deep tech, the operationalization of machine learning and deep learning models is burgeoning in the machine learning space. In a typical scenario within organizations involving machine learning or deep learning business cases, the data science and IT teams collaborate extensively in order to increase the pace of scaling and pushing multiple machine learning models to production through continuous training, validation, deployment and integration with governance. Machine Learning Operations (MLOps) has carved a new era of the DevOps paradigm in the machine learning/artificial intelligence realm by automating end-to-end workflows.

4 Non-AI Technologies Critical for AI Development

While AI-powered devices and technologies have become essential parts of our lives, machine intelligence still contains areas wherein drastic improvements can be made. To fill in these metaphorical gaps, non-AI technologies will come in handy.

8. IoT Connectivity: Digital Transformation Debts post-Covid-19

Part 8 of the ten-part series on Digital Transformation Debt expands upon the Connected World's emergence – through the Internet of Things (IoT). IoT solutions for a Connected World is essential for Digital Transformation. There will be 75 billion devices by 2025. There are more than 600 IoT platforms. Learn from this article - with many practical examples - how the road to IoT success runs through Intelligent Process Automation of Things. All industries struggling with Covid-19 will benefit from IPAoT solutions.

Setrag Khoshafian, IoTSetrag KhoshafianDecember 14, 2020Setrag Khoshafian, IoT, industry 4.0, IIoT, COVID-19Comment

Digital Transformation of Supply Chain through IoT, Analytics and Automation

The increasingly fast paced and competitive landscape of products and services have necessitated innovative approaches for managing logistics and supply chain. Logistics pertains to distribution and organization of products within an organization. It includes warehousing and transportation and is considered part of the overall Supply Chain. How important is Supply Chain?

Article, AI, Setrag KhoshafianSetrag KhoshafianDecember 17, 2019digital transformation, supply chain, IoT, IIoT, analytics, automation, Setrag KhoshafianComment

Transforming the Customer Relationship Culture in Manufacturing

Digitization is having a remarkable impact on all industry sectors. Manufacturing in particular is in the midst of a major digital transformation shift often characterized as Industrie 4.0 (aka Industry 4.0 or Smart Manufacturing (especially in the US)).

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