Thought Leadership
Gartner Hype Cycle for Digital Workplace applications
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Healthcare
From AI-controlled diagnoses to IoT-based remote patient monitoring: digital solutions are making their way into the healthcare sector and reducing the workload on employees.
An intelligent infrastructure and high-performance networks are the basis for this.
Accounting 2030 thinks and acts together with AI
Sorting receipts, filing documents, maintaining Excel spreadsheets: In 10 years’ time, these routine activities will hardly play a role in the AI-influenced everyday life of accounting.
What does this change mean for the job profile?
What opportunities and risks will arise?
AI insights
While conventional quantitative surveys, for example surveys, limit the type of feedback through predefined questions and limited response options, qualitative methods such as video interviews can do the opposite – but they produce so much information that it becomes very time-consuming to analyze it.
Artificial intelligence
The generative AI (GenAI) revolution began over a year and a half ago, and there’s no end in sight. Every time the euphoria subsides, a new model with exciting features and possibilities emerges, reigniting enthusiasm, such as OpenAI’s Sora.
Modern customer experience
The technical possibilities of support are developing rapidly – as are customer expectations.
To ensure consistent or even higher satisfaction, the customer experience (CX) must also continuously improve in parallel with technical developments.
Integration of GenAI into the employee life cycle
Technologies such as GenAI are fundamentally changing the world of work and HR departments are faced with the question of how they can use GenAI optimally in their work in order to derive maximum benefit from the technology.
AI development
A major challenge in AI development is the effort required to obtain and label real-world data. A 2023 Gartner survey identified data availability as one of the top five barriers to implementing generative AI. Synthetic data can help address this issue.
Commentary
Since the release of ChatGPT, cybersecurity experts have been wondering how to control the falsification of GenAI. They initially assumed a threat scenario, namely that the output of GenAI is already being distorted by data poisoning.
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