Why an enterprise search is the most sensible basis for any AI system in a company
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Enterprise search is necessary to integrate AI into company processes in the long term. This article explains the role of enterprise search.
Michael Virnich becomes new Partner Manager at amberSearch
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Get to know our new Partner Manager Michael Virnich. Find out what motivated him to switch from Telekom to us in this blog post
How to Ensure Successful Generative AI Integration in Your Company
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Many companies need and want to gain experience with generative AI. The introduction of generative AI is therefore on the roadmap of many companies. This blog article is about how to successfully combine in-house expertise with generative AI – within a secure and GDPR-compliant framework – and what to look out for. The introduction of generative AI is not as complex as it first appears.
Mastering Information Management in IT: A Strategic Approach
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Discover how modern information management with “amberSearch” revolutionises efficiency for IT managers through the intelligent combination of enterprise search and AI. Gain access to decentralised systems and improve information discoverability to navigate the dynamic business world with confidence. Increase productivity and control information chaos thanks to this powerful solution.
Cloud vs. on-premise solutions – advantages and disadvantages
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Enterprise software can be installed either on-premise or in the cloud. This article explains what consequences this has. In order to understand the added value of the respective solution, you first need to know what exactly is hidden behind the two options.
According to a Statista survey, 82% of all companies surveyed in 2020 said they were already using either private or public cloud solutions. As the current trend is for more and more software solutions to be offered in the cloud, this article takes a closer look at the advantages and disadvantages of cloud and on-premise solutions.
Deep Learning vs. Machine Learning – Understanding the Differences
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Deep Learning and Machine Learning are two important technologies in the world of Artificial Intelligence (AI) and thus part of the umbrella term Data Science. Although they are sometimes used as synonyms, there are important differences between the two to understand.
How the role of employees in companies is changing – The Knowledge Worker
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The number of knowledge workers in companies has been increasing for years. Knowledge workers require different tools and information bases to work efficiently than traditional employees. As more and more employees move toward knowledge-based work, this article addresses the overall shift in the workforce.
Effective Knowledge Management for Modern Businesses
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As the business world becomes increasingly digital, the need for effective knowledge management grows. With employees staying at companies for shorter periods of time and the experienced baby boomer generation beginning to retire, it is more important than ever to ensure that important information and knowledge is not lost. This means making sure that the right information is available to the right people at the right time, which can be a challenging task given the number of data silos that exist within modern companies. These silos, which can include everything from email inboxes and network drives to CRM and ERP systems, often store information in a decentralized manner, making it difficult for employees to find what they need.
Improve Workflows: Capture Research Time Efficiently
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Every employee knows how much time they waste every day researching internal information. In management, this is a topic that is only noticed to a limited extent – the employees are there anyway. Yet virtually every employee asks himself the following questions when looking for internal information:
1. Where should I start looking?
2. Which wording can I use best?
3. Whom can I ask for support?
6 tips for successful projects with start-ups
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Collaborating with start-ups and corporates can be a rewarding and mutually beneficial experience for both parties, but it can also be a challenging endeavor. To make collaboration successful, it’s important to consider a few key factors.