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adesso Turkey Blog

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AI

05.07.2024 By Tule Yalçınkaya

The Future of UX with Emotion AI

Picture Tule Yalçınkaya

This blog dives deep into Emotion AI, the next big leap in technology that promises to transform how we interact with digital products. From streaming services responding to your moods to chatbots that adjust to your emotional state, learn how Emotion AI is set to revolutionize user experiences. Senior UX Designer Tule Yalçınkaya from adesso Turkey helps us imagine a world where digital interfaces not only understand your needs but also your feelings. Dive into the future of UX with us—where emotions and technology blend to create more intuitive and personalized interactions.

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AI

adesso Turkey UX Designer Ege Dalyan shares his experience of using GPT 4.0 to complete a lengthy task of performing an app-wide UX writing check, providing insights into the prompts, methodology, and results. Overall, the article discusses how AI tools can help skip the boring parts of UX design and speed up workflows.

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Inside adesso

Innovation and human experience are at the heart of the ever-changing world we live in. Identifying meaningful trends that align with fundamental human needs enables innovators to thrive in this fast-paced environment. In this blog post, I will discuss three key trends highlighted at adesso's Digital Day in June 2023 - The Genesis Moment, Simulated Everything and Public Goods.

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14.07.2023 By Busra Tuglu

Copilot as Prominent AI-powered Technology

Picture Busra Tuglu

This article explains how Microsoft's latest technology and AI-powered tool Copilot integrates with key Microsoft applications to assist users with a range of cognitive tasks, significantly increasing productivity and efficiency. Then it explains in detail the various forms of Copilot, such as Windows Copilot, Microsoft 365 Copilot, and GitHub Copilot.

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28.04.2023 By Elif Gürcüoğlu

ChatGPT 101 for QA Engineers

Picture Elif Gürcüoğlu

14.11.2022 By Deniz İdil Onat

AI Testing Out-of-the-Box

Picture Deniz İdil Onat

AI testers may not only use the AI specific test techniques since as many of defects found in AI/ML systems can be found in any other systems.

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