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The Future of Cybersecurity: AI, Automation, and the Human Factor

Unite.AI

In the US, the Federal Bureau of Investigation (FBI) reported more than 800,000 cybercrime-related complaints filed in 2022, with total losses exceeding $10 billion, shattering 2021’s total of $6.9 The heavy lifting of precise threat detection and prevention will be best handled by the highly specialized small AI/ML models.

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Security AI and automation are key in protecting against costly data breaches for retailers and consumer goods businesses

IBM Journey to AI blog

According to a recent study by IBM Security, the 2023 X-Force Threat Intelligence Index established the retail and wholesale industry as the fifth-most targeted industry in 2022, with cybercriminals increasingly looking to exploit the trove of data gathered from the billions of transactions sellers process online.

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Turning hybrid cloud security into a profit center

IBM Journey to AI blog

” Read IBM’s “Cost of a data breach 2022” report Security is fast becoming a conversation about empowerment versus just protection. Many cloud-based environments rely on Linux for their operations, and in 2022, IBM Security X-Force reported dramatic increases in Linux malware. million compared to USD 4.24

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Doing the Dirty Work: Using AI in Waste Management

Aiiot Talk

Artificial intelligence and machine learning are fundamentally transforming how industries operate, especially with regard to automation and big data processing. How AI Can Transform Waste Management Since 1990, Americans have generated over 200 million tons of municipal solid waste a year.

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CMS develops new AI algorithm to detect anomalies

Flipboard

The new system was deployed in the barrel of the ECAL in 2022 and in the endcaps in 2023. CMS is just one of many experiments at CERN that is improving its performance using AI, automation and machine learning. Read more about this here. Read more: CMS briefing Paper

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Leveraging generative AI on AWS to transform life sciences

IBM Journey to AI blog

The industry is under tremendous pressure to accelerate drug development at an optimal cost, automate time- and labor-intensive tasks like document or report creation to preserve employee morale, and accelerate delivery. Why IBM Consulting for generative AI on AWS? Pipeline for generating adverse event narratives Figure 2.

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Advancing Education through Machine Learning-Powered Augmented Reality: Current Applications, Challenges, and Future Directions

Marktechpost

Overview of Machine Learning Techniques: ML, a subset of AI, automates the creation of analytical models using training data. In 2022, the ARChem mobile app emerged to assist chemistry students by combining AR, AI, and ML for tasks like equation correction and text summarization.