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10 highest-paying IT skills for 2024

CIO Business Intelligence

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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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

In the long run, we see a steep increase in the proliferation of all types of data due to IoT which will pose both challenges and opportunities. Fractal’s recommendation is to take an incremental, test and learn approach to analytics to fully demonstrate the program value before making larger capital investments.

Insurance 250
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15 best data science bootcamps for boosting your career

CIO Business Intelligence

The course includes instruction in statistics, machine learning, natural language processing, deep learning, Python, and R. Due to the short nature of the course, it’s tailored to those already in the industry who want to learn more about data science or brush up on the latest skills. Remote courses are also available.

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iVEDiX Inc. Extends Alliance with insightsoftware to Deliver Best-in-Class Support For Longview Analytics Customers in North America

Jet Global

These applications have not only withstood the test of time in terms of form and function, they continue to serve a critical role in the businesses that rely on them every day. About iVEDiX. iVEDiX has delivered brilliantly curated digital solutions for some of the world’s most progressive organizations.

IoT 80
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Choosing the right Machine Learning Framework

Domino Data Lab

Here are several key considerations you should take into account when selecting a machine learning framework for your project. When you start your search for a machine learning framework, ask these three questions: Will you use the framework for deep learning or classic machine learning algorithms? Tensorflow 2.0,

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Conversational AI use cases for enterprises

IBM Big Data Hub

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. Integrating conversational AI into the Internet of Things (IoT) also offers vast possibilities, enabling more intelligent and interactive environments through seamless communication between connected devices.

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Covid-19 Accelerates The Need for Retail, Manufacturing Supply Chains To Adapt

Cloudera

Due to COVID-19, retailers world-wide had their e-commerce capabilities put to the test with entire countries being in lockdown for weeks, even months, due to the pandemic. . From e-commerce and direct-to-consumer all the way to fulfillment, we’re witnessing retail execution capabilities being put to the test in real-time. .