Artificial Inteligence Compliance Innovation Machine Learning 
CIO
OCTOBER 24, 2023
In light of this, developer teams are beginning to turn to AI-enabled tools like large language models (LLMs) to simplify and automate tasks. Many developers are beginning to leverage LLMs to accelerate the application coding process, so they can meet deadlines more efficiently without the need for additional resources.
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.
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CIO
JUNE 10, 2024
As head of transformation, artificial intelligence, and delivery at Guardian Life, John Napoli is ramping up his company’s AI initiatives. Moreover, many need deeper AI-related skills, too, such as for building machine learning models to serve niche business requirements. Everyone is learning,” Daly says.
Exadel
JULY 6, 2022
The banking landscape is constantly changing, and the application of machine learning in banking is arguably still in its early stages. Machine learning solutions are already rooted in the finance and banking industry. Machine learning solutions are already rooted in the finance and banking industry.
CIO
JUNE 13, 2024
Over the past year, generative AI – artificial intelligence that creates text, audio, and images – has moved from the “interesting concept” stage to the deployment stage for retail, healthcare, finance, and other industries. These are necessary to prove compliance with data protection regulations such as GDPR or CCPA.
CIO
MAY 9, 2024
Dispelling misconceptions, mainframes are not relics of the past but beacons of innovation. Moreover, mainframes continue to evolve, integrating emerging technologies like AI and machine learning to meet the demands of tomorrow. Learn how Rocket Software can help you modernize without disruption today.
O'Reilly Media - Data
DECEMBER 12, 2019
For all the excitement about machine learning (ML), there are serious impediments to its widespread adoption. Not least is the broadening realization that ML models can fail. And that’s why model debugging, the art and science of understanding and fixing problems in ML models, is so critical to the future of ML.
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