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10 most in-demand generative AI skills

CIO

The recent AI boom has sparked plenty of conversations around its potential to eliminate jobs, but a survey of 1,400 US business leaders by the Upwork Research Institute found that 49% of hiring managers plan to hire more independent and full-time employees in response to the demand for AI skills.

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Oscilar emerges from stealth to fight transactions fraud with AI

TechCrunch

To their point, more people are using digital payments tech than ever before, with a 2022 survey from The World Bank finding that two-thirds of adults worldwide now make or receive a digital payment. ” What makes Oscilar different, Narkhede says, is the platform’s heavy reliance on AI and machine learning.

Fintech 219
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Top 10 Cybersecurity Threats in 2021 and How to Protect Your Business

Kaseya

1 priority for IT teams, as reported in the Kaseya 2020 IT Operations Survey Report. These tools may combine machine learning and intelligent tagging to identify anomalous activity, suspicious changes and threats caused by system misconfigurations. Businesses around the world are facing an unprecedented level of risk.

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Tech Trends for 2024

Infinidat

It is no wonder that in the June 2023 survey of CEOs by Fortune that the number two threat to their companies cited by CEOs was cybersecurity. This also involves AIOps and the automating of the technical support process to simplify technical management.

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Turning Threats into Triumphs: The Managed Infrastructure Advantage

Trigent

A recent survey found that nearly 70% of global logistics executives are preparing for a potential recession. The demand is not coming back anytime soon; on the other hand, the capacity and supply of containers are abundant. Most of us are trying to build resilience and consistency in our operations. This is business critical.”

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How to Choose Fraud Detection Software: Features, Characteristics, Key Providers

Altexsoft

In our whitepaper on fraud detection , we compared machine learning-based systems with rule-based ones and described how ML-based solutions help prevent and identify fraudulent activity across several industries. Many of these systems use both rules (that users can edit) and machine learning techniques to achieve higher efficiency.

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Digital and ?omputational Pathology: Workflow, Tools, and Limitations to Be Addressed

Altexsoft

The most advanced digital workflows also incorporate artificial intelligence (AI) and machine learning (ML) methods to recognize patterns in tissue specimens. A recent survey shows that 75 percent of pathologists are interested in adopting AI to improve patient care. Computational pathology: what it is and how it can help.

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