Remove Business Transformation Remove Generative AI Remove Metrics
article thumbnail

Generative AI won’t automate your way to business model innovation

CIO

Generative AI is changing the world of work, with AI-powered workflows now slated to streamline customer service, employee experience, IT, and other fields. Integrating artificial intelligence into business has spawned enterprise-wide automation. Her point is that AI or generative AI isn’t a silver bullet.

article thumbnail

How Cisco accelerated the use of generative AI with Amazon SageMaker Inference

AWS Machine Learning - AI

By integrating generative AI, they can now analyze call transcripts to better understand customer pain points and improve agent productivity. Additionally, they are using generative AI to extract key call drivers, optimize agent workflows, and gain deeper insights into customer sentiment.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Benchmarking Amazon Nova and GPT-4o models with FloTorch

AWS Machine Learning - AI

The growing need for cost-effective AI models The landscape of generative AI is rapidly evolving. Although GPT-4o has gained traction in the AI community, enterprises are showing increased interest in Amazon Nova due to its lower latency and cost-effectiveness. Each provisioned node was r7g.4xlarge, get("message", {}).get("content")

article thumbnail

Deploy DeepSeek-R1 distilled models on Amazon SageMaker using a Large Model Inference container

AWS Machine Learning - AI

For more details, see Configure security in Amazon SageMaker AI. Logging and monitoring You can monitor SageMaker AI using Amazon CloudWatch , which collects and processes raw data into readable, near real-time metrics. For more details, see Metrics for monitoring Amazon SageMaker AI with Amazon CloudWatch.

article thumbnail

Analyze customer reviews using Amazon Bedrock

AWS Machine Learning - AI

This post discusses how LLMs can be accessed through Amazon Bedrock to build a generative AI solution that automatically summarizes key information, recognizes the customer sentiment, and generates actionable insights from customer reviews. Also, make sure you don’t include any customer information in the prompt to the FM.

article thumbnail

Achieve ~2x speed-up in LLM inference with Medusa-1 on Amazon SageMaker AI

AWS Machine Learning - AI

However, for better results, its generally recommended to set the number of epochs to at least 2 or 3. His experience extends across different areas, including natural language processing, generative AI and machine learning operations. Aleksandra Dokic is a Senior Data Scientist at AWS Professional Services.

article thumbnail

What is digital transformation? A necessary disruption

CIO

Other research confirms the imperatives for engaging in digital transformation. Companies engage in digital transformation to make sure their customers and employees are happy, to make sure they have efficient supply chains, and to make sure they operate effectively,” Kingstone says. Now it’s this move to generative AI.