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Machine Learning In Internet Of Things (IoT) – The next big IT revolution in the making

Openxcell

From human genome mapping to Big Data Analytics, Artificial Intelligence (AI),Machine Learning, Blockchain, Mobile digital Platforms (Digital Streets, towns and villages),Social Networks and Business, Virtual reality and so much more. What is Machine Learning? Machine Learning delivers on this need.

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Data collection and data markets in the age of privacy and machine learning

O'Reilly Media - Data

In the early phases of adopting machine learning (ML), companies focus on making sure they have sufficient amount of labeled (training) data for the applications they want to tackle. How do we continue to provide liquidity in an age when machine learning models require so much data? Economic value of data.

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5 Tech Roles Still In Demand in 2022

Hacker Earth Developers Blog

On any given day, you can be sure that there are tons of tech roles that are always in demand, the game is to know which ones. 2 – Blockchain developer. Blockchain, as you know, is an integral part of the crypto economy. Blockchain refers to databases made for the purpose of storing and organizing data. E-learning.

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Cathay Pacific to take cloud journey to new heights

CIO

Cathay is also an early innovator in making use of blockchain’s digital ledger technology. Nair claims that in 2019, Cathay Pacific Cargo became the first airline to use blockchain to manage custody of its stock of Unit Load Devices (ULD), applying the technology in its own Cargo Terminal at Hong Kong International Airport.

Airlines 298
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Why is Now The Perfect Timing for Digital Transformation in Financial Services?

OTS Solutions

AI (artificial intelligence) and machine learning (learning by machines) have been getting a lot of attention lately as digital trends in many fields. From the early days of ATMs and credit cards to today’s digital banks and blockchain technology, it has changed a lot. Blockchain. Mobile App.

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10 emerging innovations that could redefine IT

CIO

Once wild and seemingly impossible notions such as large language models, machine learning, and natural language processing have gone from the labs to the front lines. IT departments must find the practical balance that works for their data and, at the very least, up their game to defeat the new generation of attackers.

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The CIO at a crossroads: Evolve or become a dead-end job

CIO

Jarrod Phipps, CIO at auto specialist Holman, says a debate about the relevance of the CIO title is fair game. “It The whole title game is often just organizations trying to send a message about what’s important,” says Holman’s Phipps. It probably has run its course a little bit,” he says.