Generative AI as a driver for business growth

How companies can benefit from AI-powered solutions & enterprise search

The introduction of generative artificial intelligence (AI) by OpenAI with the release of ChatGPT at the end of 2022 has heralded a significant change in the use of digital technologies. This progress enables companies to make their work processes more efficient while opening up new avenues for creativity and innovation. According to Digital Austria, the increased use of AI in Austrian companies is expected to generate additional value creation of seven billion euros by 2035.

However, the use of generative AI also poses challenges: the decision-making processes of machines are often not completely transparent and can lead to unexpected results. Training data sets may contain errors or inherent biases that distort the output. These inadequacies can lead to so-called “hallucinations,” in which AI systems generate inaccurate answers. In addition, copyright issues, especially in the context of the creation of image material, raise significant legal problems. A first step to minimizing the corresponding legal risks is to use your own or explicitly licensed images as a basis for AI-generated works. To further minimize these risks, it is important to familiarize yourself with the terms of use of AI platforms and ensure that all data used complies with applicable data protection regulations.

Efficient communication through AI-generated texts

The most well-known area of ​​application of generative AI in companies is certainly the creation and optimization of texts. From automatically creating emails to improving texts, artificial intelligence offers a variety of tools to optimize daily correspondence while ensuring quality. Simple prompts are enough to turn ChatGPT, Bard and Co. into editors: from simple spell checking to easier-to-read texts to rewriting entire passages in a specific writing style - generative AI makes it possible. Even translations are much more successful thanks to the recognition of the specific context than the texts previously provided by online translation tools. Contracts or legal texts in particular should nevertheless be proofread by an expert so that there are no unpleasant surprises.
“Especially in the context of enterprise search, the ability of generative AI to automatically provide translations for search queries and documents is a huge advantage,” says Christoph Wendl, CEO of the Austrian IT company Iphos IT Solutions. “Language barriers within internationally active companies are overcome in this way. Users can search in their preferred language and receive relevant documents that are automatically translated in context using AI-powered translation tools. This not only improves the user experience, but also promotes collaboration in global teams and increases efficiency in knowledge sharing.”

Automated summaries for optimized knowledge management

Generative AI can bridge the gap between data deluge and knowledge management by creating automated summaries of large documents, reports and policies. These summaries make it easier for new employees to quickly familiarize themselves with key company processes during onboarding.

By making the key points clear and accessible, AI allows the entire team to access the information they need more quickly, without having to wade through detailed documentation. This increases efficiency in solving everyday tasks and promotes a collaborative work culture in which knowledge is shared and used effectively.

Quick access to relevant data

By analyzing and categorizing company data such as documents, images, emails, databases, etc., generative AI enables efficient access to required information by extracting unique features. Content can be categorized and searched for common topics, key phrases, key figures and contexts, but also specific image content. The daily data search is significantly shortened and leaves more time for more important tasks.

Top support with little effort

“Artificial intelligence also saves companies time and money in customer service and support. The currently most cost-effective option here is to use it in combination with enterprise search solutions. The AI ​​analyzes documents, emails and databases to identify deep connections and relevant information. Help desk employees can now immediately access the data they need through simple queries in natural language and process customer questions much more efficiently and quickly,” reports Wendl from practice.
“Some companies already have fully automated solutions in use that process inquiries independently. The AI ​​analyzes emails not only for the actual content, but also the tonality, searches for solutions in documents and databases and answers the query independently. Such a solution is a decisive competitive advantage, especially in internationally active companies that communicate with customers in several languages.”

Internal market analysis and anomaly detection

Generative AI is not only doing pioneering work in the monitoring and analysis of company data, but also scores highly in the marketing sector. By identifying patterns and highlighting anomalies, it helps companies act proactively and make informed decisions in every respect.
Especially in the dynamic world of marketing, generative AI can play a central role in combination with powerful enterprise search solutions. It enables in-depth analysis of customer behavior and market trends by searching and analyzing not only internal data but also a wide range of market information. Not only is internal data searched and analyzed, but external information such as customer feedback, online reviews and social media is also tapped to gain comprehensive insights into customer behavior and market trends.
This ability to efficiently analyze both internal and external data sources drives a data-driven marketing strategy. Marketing teams can react quickly to changes in the market and optimize their activities accordingly.
Additionally, AI in accounting and project management areas can perform dynamic, real-time monitoring of internal metrics, automatically highlighting irregularities that would otherwise require time-consuming, meticulous comparison work.

The algorithm for more creativity

Generative AI can also have a supportive effect in the creative area. It serves as a source of inspiration and helps to develop innovative solutions by generating and further developing ideas based on specifications.

For example, ChatGPT, Bard & Co. are ideal as brainstorming partners who further develop ideas, provide alternative suggestions and support teams in finding innovative concepts. “In combination with an enterprise search solution, it can be ensured that existing knowledge is built on and that unnecessary time is not spent reinventing the wheel twice,” adds Wendl.

Beyond Technology: The Human Perspective

At this point, critics of AI in the workplace can be reassured: Despite the immense impact on work processes, human input was needed to give AI a framework and ultimately decide on the quality of the results.

Despite the advanced capabilities of AI, experts emphasize the need for human surveillance. “The combination of human judgment and AI-supported efficiency is the key to success,” explains Christoph Wendl. “Through targeted training and the establishment of quality controls, companies can exploit the full potential of AI without jeopardizing the integrity and security of their processes.”

Predictive integration as a success factor

The use of generative AI in companies promises not only an increase in efficiency, but also a clear competitive advantage. Adaptation to industry-specific requirements and careful integration of these technologies are crucial. “It’s about setting the course for the future and actively shaping innovation,” says Wendl, who has been working intensively with AI for years as part of the in-house enterprise search software searchit busy, in conclusion.