AWS Machine Learning
APRIL 10, 2025
Personalized outbound communication can be a powerful tool to increase user engagement and conversion. To achieve this, you can use Amazon Personalize to generate user-personalized recommendations and Amazon Bedrock to generate the text of the email. Train an Amazon Personalize Top picks for you recommender.
AWS Machine Learning
NOVEMBER 7, 2024
Generative AI has transformed customer support, offering businesses the ability to respond faster, more accurately, and with greater personalization. In this post, we guide you through integrating Amazon Bedrock Agents with enterprise data APIs to create more personalized and effective customer support experiences.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
AWS Machine Learning
NOVEMBER 7, 2024
To move faster, enterprises need robust operating models and a holistic approach that simplifies the generative AI lifecycle. Some applications may need to access data with personal identifiable information (PII) while others may rely on noncritical data. At this point, you need to consider the use case and data isolation requirements.
AWS Machine Learning
FEBRUARY 11, 2025
Amazon Q Business , a new generative AI-powered assistant, can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in an enterprises systems. In this post, we propose an end-to-end solution using Amazon Q Business to simplify integration of enterprise knowledge bases at scale.
Speaker: Steve Pappas, Chief Strategist, Startup and Early Stage Growth Advisor, Keynote Speaker, CX Podcaster
To meet this demand, enterprises are embracing innovative approaches that captivate customers and fuel their loyalty. By enhancing efficiency and personalization while elevating customer satisfaction and loyalty, conversational AI serves as a powerful catalyst propelling a CX revolution like never before!
AWS Machine Learning
JANUARY 29, 2025
Intelligent document processing , translation and summarization, flexible and insightful responses for customer support agents, personalized marketing content, and image and code generation are a few use cases using generative AI that organizations are rolling out in production.
CCNG
DECEMBER 11, 2024
When used stand-alone, it cannot deliver the basic must-have requirements for enterprise use and above all, is not even designed for them. Even if many of the aforementioned problems are solved, it’s unclear if it could be offered as a service, the cost, and what it would take for enterprises to make it work.
Expert insights. Personalized for you.
104 
Let's personalize your content