CIO
OCTOBER 22, 2024
INE Security , a leading provider of cybersecurity training and certifications, today shared its cybersecurity training for cyber hygiene practices for small businesses, underscoring the critical role of continuous education in safeguarding digital assets. INE Security emphasizes the importance of regular training for all employees.
CIO
JANUARY 22, 2025
In todays digital age, the need for reliable data backup and recovery solutions has never been more critical. The role of AI and ML in modern data protection AI and ML transform data backup and recovery by analyzing vast amounts of data to identify patterns and anomalies, enabling proactive threat detection and response.
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CIO
OCTOBER 24, 2024
While LLMs are trained on large amounts of information, they have expanded the attack surface for businesses. From prompt injections to poisoning training data, these critical vulnerabilities are ripe for exploitation, potentially leading to increased security risks for businesses deploying GenAI.
Kaseya
APRIL 24, 2025
Without a robust backup and recovery strategy, these data loss scenarios can cause irreparable damage to your clients businesses. Backup that goes beyond the basics In todays data-driven business environment, basic backup is no longer sufficient. You can also perform backups on demand to meet your clients requirements.
CIO
APRIL 23, 2025
This raw backup is important if you ever need to trace back and verify the original input. Delta Lake: Fueling insurance AI Centralizing data and creating a Delta Lakehouse architecture significantly enhances AI model training and performance, yielding more accurate insights and predictive capabilities.
CIO
FEBRUARY 12, 2025
That correlates strongly with getting the right training, especially in terms of using gen AI appropriately for their own workflow. According to some fairly comprehensive research by Microsoft and LinkedIn, AI power users who say the tools save them 30 minutes a day are 37% more likely to say their company gave them tailored gen AI training.
AWS Machine Learning - AI
APRIL 10, 2025
Demystifying RAG and model customization RAG is a technique to enhance the capability of pre-trained models by allowing the model access to external domain-specific data sources. Unlike fine-tuning, in RAG, the model doesnt undergo any training and the model weights arent updated to learn the domain knowledge.
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