Artificial Inteligence Technical Advisors Training 
Palo Alto Networks
APRIL 2, 2024
Artificial intelligence (AI) plays a crucial role in both defending against and perpetrating cyberattacks, influencing the effectiveness of security measures and the evolving nature of threats in the digital landscape. A large language model (LLM) is a state-of-the-art AI system, capable of understanding and generating human-like text.
AWS Machine Learning - AI
FEBRUARY 6, 2024
To support overarching pharmacovigilance activities, our pharmaceutical customers want to use the power of machine learning (ML) to automate the adverse event detection from various data sources, such as social media feeds, phone calls, emails, and handwritten notes, and trigger appropriate actions.
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Mobilunity
NOVEMBER 11, 2024
It’s all possible thanks to LLM engineers – people, responsible for building the next generation of smart systems. While we’re chatting with our ChatGPT, Bards (now – Geminis), and Copilots, those models grow, learn, and develop. So, what does it take to be a mighty creator and whisperer of models and data sets?
CIO
APRIL 26, 2023
What’s not often discussed, however, are the mistakes IT leaders make when establishing and supervising training programs, particularly when training is viewed as little more than an obligatory task. Is your organization giving its teams the training they need to keep pace with the latest industry developments?
CIO
MAY 30, 2024
Perhaps no statistic shows just how much pressure CIOs are under to enable artificial intelligence (AI) than this: AI is now tied with cybersecurity as the top priority for CIOs, according to a recent Lenovo survey. The AI challenge is huge, and the barriers to success are large.
CIO
JULY 2, 2024
Yet there’s now another, cutting-edge tool that can significantly spur both team productivity and innovation: artificial intelligence. Many AI systems use machine learning, constantly learning and adapting to become even more effective over time,” he says.
CIO
AUGUST 1, 2024
Interestingly, despite the significance of technical debt as a cost concern and an inhibitor to improving security and implementing innovation (like AI), it ranks much lower on the list of immediate priorities for many organizations (20%). For CIOs, balancing technical debt with other strategic priorities is a constant challenge.
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