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10 most in-demand generative AI skills

CIO

Most relevant roles for making use of NLP include data scientist , machine learning engineer, software engineer, data analyst , and software developer. TensorFlow Developed by Google as an open-source machine learning framework, TensorFlow is most used to build and train machine learning models and neural networks.

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Oscilar emerges from stealth to fight transactions fraud with AI

TechCrunch

.” What makes Oscilar different, Narkhede says, is the platform’s heavy reliance on AI and machine learning. But not just any AI — Narkhede claims that Oscilar’s AI, developed in-house, requires much less first- and third-party data about past fraud incidents from customers to train machine learning models.

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Exadel Launches ML1 — Ticket Automation Software for Jira

Exadel

At Exadel, we developed ticket automation software called ML1 , which is a machine-learning plug-in that predicts field values in Jira tickets and fills them automatically. How ML1 Works: From Training a Model to Predicting Field Values. ML1 applies machine learning to predict and autopopulate fields in Jira tickets.

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Monetization of Partner Led Managed Services Model

Palo Alto Networks

Platinum Support – Platinum Support is offered by Palo Alto Networks to provide partners with direct access to a dedicated team of senior engineers who are trained to quickly understand and resolve unique challenges. These combinations provide proactive management and ensure that customer needs are met efficiently.

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Technology Companies Need to Make Hard Choices to Teach More ‘Soft Skills”

CIO

Many are also setting up certification programs to arm their work forces with more of the IT “ technical skills ” that are in high demand – everything from networking to technical support to machine learning to cybersecurity and analytics.

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AWS vs. Azure vs. Google Cloud: Comparing Cloud Platforms

Kaseya

Easy Training and Certifications. Apart from detailed documentation for each of its services, Amazon also offers training and certification programs for the users to gain a better understanding of the usage and application of AWS. Charges for Technical Support. Greater Security. Cost Efficiency.

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Turning Threats into Triumphs: The Managed Infrastructure Advantage

Trigent

Managed infrastructure services providers can empower these companies with advanced technologies like Machine Learning (ML), Artificial Intelligence (AI), Blockchain, Augmented Reality (AR), and Virtual Reality (VR), moving them toward a digital infrastructure that, in turn, speeds up innovative developments.