WEBCAST:
AI is reshaping field service, cutting manual work, and enhancing technician focus on key tasks. But success depends on a cautious, iterative method, quality data, and apt tech and talent. Read the full paper to learn how AI is reinventing field service and to view a checklist for generative AI field service use cases.
WEBCAST:
Are you in need of a solution that provides end-to-end management across your entire infrastructure? Find out how EMC and Microsoft have teamed up to create a solution that addresses these issues.
Posted: 28 Nov 2007 | Premiered: Dec 5, 2007, 09:00 EST (14:00 GMT)
WEBCAST:
Today, AI is transforming industries as organizations leverage the technology to future-proof their medical workforces. But, what exactly are the benefits of AI in a medical setting? What are hospitals doing to successfully implement these solutions and how is it changing operations at a pediatric level? Tune into this webinar to learn more.
WEBCAST:
Join leaders from Loka and Amazon Web Services (AWS) to hear about the latest innovations in generative AI strategy and deployment to help accelerate your organizational transformation.
WEBCAST:
“Prompt engineering,” explains GDR Tech Lead at Amazon Web Services, Dash Williams, “is a new and important field for optimizing how we apply, develop and understand language models – especially large language models.” For a 101 lesson on prompt engineering, watch this 35-minute webcast.
WEBCAST:
Get an overview of the concepts, terminology, and processes of machine learning, and how it can solve business problems. Discover when it is appropriate to use a machine learning model, and the phases of a machine learning pipeline.
WEBCAST:
Machine learning has evolved over the years and recently turned a new leaf with the advent of generative AI. Watch this on-demand webinar to access an overview of machine learning, a drilldown of the basics of generative AI, top use cases, and how you can prepare your employees for a new era.
WEBCAST:
See how you can seamlessly deploy Cohere's large language models (LLMs) at scale on Amazon Web Services (AWS) to perform repetitive tasks, such as copywriting and text summarization, with greater accuracy and speed.