Chris Monkman describes how Celonis decided to use machine learning and a large language model to gain insight on value improvement opportunities.
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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 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.
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.
GPT is the underlying machine learning model that powers ChatGPT. Toni Witt explains what it is, and how its evolution will impact generative AI.
In the “ML wars,” AWS claims to be the leader. In fact, the company has the largest ML functionality and customer base of any cloud provider, claims CEO Andy Jassy.
For the life sciences sector to truly benefit from AI and machine learning technologies, it requires the implementation of long-term strategies.
Workday’s 38 use cases that leverage AI and ML technologies focus on the growth, simplification, and innovation of businesses.
Healthcare expert Paul Swider analyzes the push for sustainability in healthcare how industry participants are developing technology and business approaches to reduce waste.
By analyzing data that athletes generate on the field, AI-and machine learning-powered predictions are preventing injuries and resulting in optimized training regimens.
Kieron Allen explores MLOps, which
involves monitoring and fine-tuning of a company’s ML models; it’s crucial for organizations to migrate ML models into operational use.
As Kieron Allen explains, machine learning operations (MLOps) play a crucial role in producing consistent and high-quality ML models.
Toni Witt speaks with author, expert, and AI entrepreneur David Vivancos, who predicts that AI must increasingly bridge the gap between humans, machines, and technology.
In this Cloud Wars Expo Moment, Dan Wesley, chief technology officer, Workday, explains how the company relies on machine learning to improve and deepen its collected data pool.
Aaron Back looks at Cloud Wars Expo through an AI and ML lens, with a focus on discussions around Metaverse and industry-specific practical solutions.
In this Enterprise AI Minute, Ep. 61, Aaron highlights a new use case for AI on the streets of San Diego: detecting litter hotspots.
Business users have access to more data, and more powerful tools for harnessing the power of that data, than ever…
In this Enterprise AI Minute, Aaron discusses how machine learning algorithms can be used to help harness fusion energy.
In this Enterprise AI Minute, Paul explains the process of data wrangling to clean up datasets for machine learning models.