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What’s New at TechSee in Q1 2024 

TechSee

Better Customer Service, Anywhere with the new Mobile SDK The new TechSee Live Mobile SDK streamlines live visual assistance sessions between customer service representatives and customers facing issues.

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Adopting CX Innovation: How to Overcome the Challenge

TechSee

Already have a mobile app? Use TechSee’s native SDK to launch visual support, including app mirroring – right from the app. Clicking the link in the SMS is all they need to do to open up a visual communication channel with an agent about their issue. No SMS or new browser tab needed!

APIs 109
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Service Automation Comes to Mobile Apps With the VI Mobile SDK

TechSee

Today we are proud to share the next evolution in this journey as we introduce the VI Mobile SDK for iOS and Android. . Making The Jump to Mobile-Native AI. For the first time, the VI Mobile SDK will allow VI’s visual AI models to run locally on the end user’s Android or iOS device, right inside the brand’s mobile app.

APIs 109
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Use AWS AI and ML services to foster accessibility and inclusion of people with a visual or communication impairment

AWS Machine Learning

This post demonstrates how you can use the AWS SDK for JavaScript to integrate capabilities provided by AWS AI services into your own solutions. The solution workflow includes the following steps: A mobile browser is used to access the web app—an HTML, CSS, and JavaScript application hosted by AWS Amplify Hosting.

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Detect fraud in mobile-oriented businesses using GrabDefence device intelligence and Amazon Fraud Detector

AWS Machine Learning

In this post, we present a solution that combines rich mobile device intelligence with customized machine learning (ML) modeling to help you catch fraudsters who exploit mobile apps. This solution rides on a larger global wave of anti-fraud efforts, which experts forecast to grow to USD $62.70 billion by 2028.

APIs 71
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Code Llama 70B is now available in Amazon SageMaker JumpStart

AWS Machine Learning

Deploy the model with the SageMaker Python SDK Alternatively, you can deploy through the example notebook by choosing Open Notebook within model detail page of Classic Studio. Invoke a SageMaker endpoint After the endpoint is deployed, you can carry out inference by using Boto3 or the SageMaker Python SDK.

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Introducing the Delighted iOS SDK

delighted

Today, we are excited to launch a brand new way to gather feedback with Delighted – directly in your apps with our native mobile SDK for iOS. Delighted’s SDK makes it easy to gather feedback of all types – NPS, CSAT, 5-star, CES, Smileys, and Thumbs – right in your iOS app. New to Delighted?