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NexusTek Honored as a Finalist for Microsoft US Partner of the Year Award

NexusTek

Awards were classified in various categories, with honorees chosen from a set of more than 800 was recognized for providing outstanding solutions and services in Modern Workplace for SMB. Additional details on the 2023 awards are available on the US Partner Community Blog here: US Partner Community Blog.

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How Formula 1 Car Sensors Create Data at Every Turn

Pure Storage

So where are all of these sensors, what data do they collect, and how is that data used by engineers and drivers? Without going too deep into how cars are built, there are various systems—the engine, exhaust system, gearbox, differential, and aerodynamics—that communicate with one another. But what do engineers do with that data?

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How to Implement Threat Modeling in Your DevSecOps Process

Pure Storage

How to Implement Threat Modeling in Your DevSecOps Process by Pure Storage Blog This blog on threat modeling was co-authored by Dr. Ratinder Paul Singh Ahuja, CTO for Security and Networking, and Rajan Yadav , Director of Engineering, CNBU (Portworx), Pure Storage. Regularly monitor and block suspicious activities.

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In Remembrance of Optane

Pure Storage

Optane was the 800-pound gorilla in the storage class memory (SCM) category as a result. With the end of Optane in sight, the whole category of SCM seems to be under consideration. Pete Kirkpatrick, VP of Engineering at Pure Storage. The post In Remembrance of Optane appeared first on Pure Storage Blog.

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Machine Learning vs. AI

Pure Storage

ML has many use cases, including customer behavior analytics , recommendation engines, predictive maintenance, and autonomous vehicles. There are two categories of supervised learning: Classification: Focuses on problems where the output variable is binary (e.g., Machine Learning vs. AI: Difference in Types. Types of Machine Learning.

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What is MLOps and Why Do You Need It?

Advancing Analytics

Typically, a data scientist won’t have a software engineering background so will understandably overlook production-ready necessities such as data and model versioning, auditing and unit testing. MLOps is essential for bridging this gap between Data Scientists and ML/DevOps Engineers. Package Phase. Monitor Phase.

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The Cost of Increasing Incidents: How COVID-19 Affected MTTR, MTTA, and More by Hannah Culver

PagerDuty

In this installment of our State of Digital Operations blog series , we’ll chat through how 2020 affected metrics like MTTR (mean time to resolve) and MTTA (mean time to acknowledge), burnout and attrition rates, and what leaders can do to improve the lives of their teams and their customers looking towards a digital future.

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