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Observability is a business strategy: what you monitor, why you monitor it, what you intend to learn from it, how it will be used, and how it will contribute to businessobjectives and mission success. My comments are entirely of a technical nature, focused on the technical capabilities of the items mentioned in the article.
1) Automated Narrative Text Generation tools became incredibly good in 2020, being able to create scary good “deep fake” articles. Observability is a business strategy: what you monitor, why you monitor it, what you intend to learn from it, how it will be used, and how it will contribute to businessobjectives and mission success.
The Internet of Things is becoming a big deal for people in countless professions. Back in 2014, Gordon Hui wrote an article in Harvard Business Review about the ways the Internet of Things changes business models. It is projected that there will be over 75 billion IoT devices by the year 2025.
Such prescriptive capabilities can be more proactive, automated, and optimized, making digital resilience an objective fact for businesses, not just a businessobjective. This is a physical device, in the IoT (Internet of Things) family of sensors, that collects and streams data from the edge (i.e.,
It is an enterprise cloud-based asset management platform that leverages artificial intelligence (AI) , the Internet of Things (IoT) and analytics to help optimize equipment performance, extend asset lifecycles and reduce operational downtime and costs.
Thankfully, with the widespread adoption of cloud computing and the Internet of Things, data has never been more readily available in today’s business world. But the vast reams of data generated on a daily basis are presenting a new problem for businesses—what data matters?
In this article, we’ll dig into what data modeling is, provide some best practices for setting up your data model, and walk through a handy way of thinking about data modeling that you can use when building your own. Both of these concepts resonated with our team and our objectives, and so we found ourselves supporting both to some extent.
Thankfully, with the widespread adoption of cloud computing and the Internet of Things, data has never been more readily available in today’s business world. But the vast reams of data generated on a daily basis are presenting a new problem for businesses—what data matters?
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