Search Results: ML (2741)

AWS Supply Chain software, now generally available, delivers powerful functionality in demand planning, inventory management, and sustainability.

Google Lead AI Advocate Laurence Moroney demonstrates a use case of machine learning, that shows how ML tools determine patterns from data.

Machine learning is impacting endpoint security in areas such as enhanced threat detection, false positivity reduction, and the ability to implement proactive security measures.

Workday’s Adaptive Planning platform streamlines corporate finance and leverages the best of artificial intelligence and machine learning capabilities.

Workday leverages AI and ML technologies to deliver better outcomes for healthcare customers and deliver on its promise of patient-centered care.

Machine learning is nothing new in cybersecurity, but in recent years, it’s gotten significantly better, says Rob Wood.

Rob Wood explains why cybersecurity ML models need clean and ample data, proper input ranges, and robust data platforms, such as the security data lake.

Your competitors are already doing it, so you do not want to put your head in the sand, says Rob Wood.

Workday’s John Kravitz tells Bob Evans how the company uses AI and ML technologies to deliver outcomes in the healthcare industry.

Organizations must understand what machine learning, including deep learning, is and what it isn’t to gain the most value from their ML business applications.

Leveraging threat intelligence for operational needs can make organizations more effective and adaptable in modern cybersecurity operations.

Kieron Allen explores how business analysts and data scientists benefit from the consolidated SAS Viya platform.

After attending the HIMSS 2023 Global Health Conference and Exhibition last week, Toni Witt recaps his top takeaways from the big healthcare industry event.

Toni Witt describes a research project featured at HIMSS 2023 that is using AI/ML to identify high-risk asthma patients to reduce hospitalizations.

In a recent shareholder letter, Amazon CEO Andy Jassy has deemed the company as the leader of machine learning (ML), having more ML customers than any of its competitors.

Workday uses machine learning and artificial intelligence to help companies find qualified candidates during the hiring process, explains Shane Luke, VMachine Learning and AI, Workday.

For the life sciences sector to truly benefit from AI and machine learning technologies, it requires the implementation of long-term strategies.

With artificial intelligence heading toward mainstream status, it’s time for CFOs to develop a game plan for implementing this powerful technology in their organizations.

Synthetic data can be incredibly valuable with AI and machine learning but it must be used only when it’s necessary and with caution.

Maturity models serve as roadmaps to help organizations successfully navigate their zero-trust journey. Rob Wood breaks down the benefits of one model’s iterative approach.