article thumbnail

AI and Customer Experience: The Smarter, Faster, and More Personal Duo Redefining B2B Success

eglobalis

This model processes multiple data types, including text, code, and images, to deliver customized services such as coding assistance for developers and document summarization for corporate users. Samsungs Gauss Portal uses AI to summarize and translate documents, providing valuable insights for corporate users.

B2B 399
article thumbnail

Multimodal User Experience Design Best Practices

Uniphore

Personalize where possible Even if you plan on using a multimodal virtual agent to limit the number of calls an agent needs to take, offering an experience that feels human and personalized is still paramount. Some key ways to avoid a cookie-cutter experience include using conversational AI that takes advantage of existing customer data.

Insiders

Sign Up for our Newsletter

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

article thumbnail

Unicorns Dependency in CX – Here Is How You Avoid This “Trap”

ECXO

This ensures that your customer experience is consistent, no matter who is handling the interaction. Document best practices, create playbooks, and make sure that all employees are on the same page. Encourage unicorns to document their methods, solutions, and best practices.

article thumbnail

How AWS Sales uses generative AI to streamline account planning

AWS Machine Learning

Every year, AWS Sales personnel draft in-depth, forward looking strategy documents for established AWS customers. These documents help the AWS Sales team to align with our customer growth strategy and to collaborate with the entire sales team on long-term growth ideas for AWS customers.

Sales 112
article thumbnail

Syngenta develops a generative AI assistant to support sales representatives using Amazon Bedrock Agents

AWS Machine Learning

It facilitates real-time data synchronization and updates by using GraphQL APIs, providing seamless and responsive user experiences. Efficient metadata storage with Amazon DynamoDB – To support quick and efficient data retrieval, document metadata is stored in Amazon DynamoDB.

Sales 109
article thumbnail

Introducing Amazon Kendra tabular search for HTML Documents

AWS Machine Learning

For newer documents, Amazon Kendra tabular search will work by default. For existing HTML pages that contain tables, you can either update the document and sync (if you only have a few documents), or reach out to AWS Support.

Travel 109
article thumbnail

Integrate generative AI capabilities into Microsoft Office using Amazon Bedrock

AWS Machine Learning

operation.font.set({ name: 'Arial' }); // flush changes to the Word document await context.sync(); }); Generative AI backend infrastructure The AWS Cloud backend consists of three components: Amazon API Gateway acts as an entry point, receiving requests from the Office applications Add-in. Here, we use Anthropics Claude 3.5