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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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Lessons learned turning machine learning models into real products and services

O'Reilly Media - Data

Why model development does not equal software development. Today, just 15% of enterprises are using machine learning, but double that number already have it on their roadmaps for the upcoming year. So what should an organization keep in mind before implementing a machine learning solution?

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Hire a Machine Vision Engineer

Mobilunity

Resolution refers to the extent to which a machine can distinguish between objects. Sensitivity refers to the ability of a machine to see in low light conditions or to detect poor impulses at invisible wavelengths. This interest is likely to drive the market for machine vision. In search of machine vision specialists?

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What is digital transformation? A necessary disruption

CIO

Digital transformation defined Digital transformation has become a catchall term for describing the implementation of digital technologies to re-engineer existing processes or develop new services that better engage customers, support employees, improve business operations, and drive business value to the organization’s bottom line.

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MLOps: why and how to build end-to-end product teams

Xebia

Machine Learning Operations (MLOps) climbed in popularity over the past few years with the promise to apply DevOps to Machine Learning. It strives to streamline the arduous process of creating robust, reliable and scalable machine learning systems that are ready to face end-users. Let’s dive in.

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Data Architect: Role Description, Skills, Certifications and When to Hire

Altexsoft

What’s more, investing in data products, as well as in AI and machine learning was clearly indicated as a priority. machine learning and deep learning models; and business intelligence tools. To perform or supervise data modeling, data architects must have expertise at database administration and SQL development.

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LexisNexis rises to the generative AI challenge

CIO

Late last month, LexisNexis launched Lexis+ AI, its own generative AI solution, in the US that promises to eradicate AI “hallucinations” and provide linked legal citations to ensure lawyers have access to accurate, up-to-date legal precedents — weaknesses discovered in the current slew of LLMs. In total, LexisNexis spent $1.4