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Cybersecurity startup Ordr nabs $40M to monitor connected devices for anomalies

TechCrunch

In 2015, there were approximately 3.5 billion internet of things (IoT) devices in use. IoT devices range from connected blood pressure monitors to industrial temperature sensors, and they’re indispensable. Today, the number stands around 35 billion, and is expected to eclipse 75 billion by 2025. Last year saw a record $21.8

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Making Sense of IoT Platforms: AWS vs Azure vs Google vs IBM vs Cisco

Altexsoft

For the most part, they belong to the Internet of Things (IoT), or gadgets capable of communicating and sharing data without human interaction. The number of active IoT connections is expected to double by 2025, jumping from the current 9.9 The number of active IoT connections is expected to double by 2025, jumping from the current 9.9

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10 highest-paying IT skills for 2024

CIO

These roles include data scientist, machine learning engineer, software engineer, research scientist, full-stack developer, deep learning engineer, software architect, and field programmable gate array (FPGA) engineer. It is used to execute and improve machine learning tasks such as NLP, computer vision, and deep learning.

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The Impact of Machine Learning on IT Departments

CTOvision

In much the same way businesses have been eager to use big data analytics to improve their operations, many companies have paid a lot of interest to the growing field of machine learning. Unlike some other tech trends that have come and gone, machine learning appears to be more than just some fad.

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The 5 Best Silicon Valley Startups of 2019

The Crazy Programmer

is the blockchain of food that uses the Internet of Things (IoT) and Blockchain technology in the food supply chain. The software provides services including tracking and visibility of supply chain, aggregation and sharing of secure data, trust verification, and brand quality; IoT integration; sensors; and scalable blockchain.

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How Machine Learning Will Influence SD-WAN

Altexsoft

Let’s examine one of the most cutting-edge technologies out there – machine learning – and how the need for reliable, cost-efficient processing power has facilitated the development of software-defined networking. Artificial Intelligence and Machine Learning. Why Machine Learning Needs SD-WAN.

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Digital mining for sustainability in a low-carbon economy

CIO

Since the Paris Agreement was signed in 2015, businesses have been taking part to contribute in pursuing net zero and achieve emission reduction targets. The Internet of Things (IoT) – sensors and other technologies attached to objects – advanced analytics, and machine learning (ML) would all be applied to capture data.