Digitalization and transformation will be an integral part of strategic business planning for companies worldwide in 2024. Despite this, many organizations are still faced with the challenge of transforming their structures, processes and business models in such a way that they can remain competitive without overstretching resources and budgets.
You can find out more about how you can successfully implement change in your company here.
The use of artificial intelligence (AI) plays a key role here: AI can be used to automate processes, save resources, increase efficiency and even open up new business models.
Uncertainties and Concerns in the Use of AI
We know that the topic of AI is still a green field for many companies and that there are often uncertainties and concerns:
Technical challenges: Implementing AI can be complex and expensive. Companies need a suitable software architecture and the necessary internal skills to successfully implement AI projects.
Data acquisition for machine learning: Large amounts of data are required for the development and use of AI applications. This data must be of high quality and relevant to the specific business use cases.
Uncertainties about use cases:
Not all processes in a company are suitable for the use of AI. It is important to carefully identify the use cases in advance before planning intelligent automation, for example.Regulatory uncertainties: In some areas, such as data protection, liability issues and security, there is still no clear regulatory framework for the use of AI. This can unsettle companies and inhibit investment in AI projects.
According to the latest Bitkom survey (September 2023), these points are just some of the concerns that prevent German companies from investing in artificial intelligence.
A third of German companies believe they have missed the boat when it comes to AI
This is also evident from the above-mentioned study, for which over 600 companies from all sectors in Germany were surveyed on a representative basis.
When asked how companies rate themselves compared to the competition when it comes to the use of AI, only 15 percent said they consider themselves to be “among the pioneers”. 43% consider themselves to be laggards and 38% even believe that they have completely missed the boat.
However, the study also predicts that In 2024, three quarters of all companies surveyed plan to invest in the use of artificial intelligence. We can see from this: The awareness of the relevance of AI is there - only the “how” seems to be holding organizations back.
A recent diva-e customer survey revealed a similar trend: 90 percent of respondents are planning to use AI in specific projects, but only a third - as of January - expect it to be used extensively and systematically in 2024. You can find more insights into the results of the survey here.
What exactly do I need? How do I position myself technologically correctly? Where do I get the skills and resources I need?How do I ensure that data protection and other guidelines are adhered to?
All of these questions are perfectly legitimate. One solution for identifying and implementing the optimal AI tools for your individual business case can be an AI hub.
The 6 biggest benefits of an AI hub
AI hubs aim to promote collaboration, innovation and development in the field of artificial intelligence and to drive the integration of AI in various industries and companies. The great advantage of this is that companies that offer their AI services and products on such a platform focus on a specific problem with state-of-the-art solutions, which they solve in the best and most efficient way possible.
Using an AI hub can offer companies the following benefits:
1. expertise and resources
External AI hubs have highly qualified experts and specialized resources in the field of artificial intelligence. Companies can benefit from this expertise without having to build up internal resources themselves.
2. cost efficiency
Setting up and maintaining your own AI infrastructure requires considerable investment. By using an external AI hub, companies can access existing infrastructure and technologies.
3. faster implementation
External AI hubs offer pre-configured solutions and tools that enable faster implementation. In a dynamic market environment where rapid adaptation and innovation are not uncommon, this can be crucial for short and long-term success.
4. flexibility and scalability
AI hubs enable flexible scaling, tailored to the individual requirements of a company. This is particularly important when needs change over time or short-term projects need to be implemented.
5. access to innovations
Providers in AI hubs are often well connected and have access to the latest developments and innovations in the field of artificial intelligence. Companies can benefit from this specialization and the latest innovations without having to expand their own research and development resources.
6 Focus on core competencies
By outsourcing AI activities to external AI providers, companies can focus more on their own core competencies while still benefiting from the advantages of advanced AI technologies.
The diva-e AI Hub: best-of-breed as standard
diva-e also works with an exclusive AI Hub so that our customers can benefit from the latest AI developments: We use solutions from B2B tech startups that have already proven themselves on the market and implement them seamlessly in the context of the respective customer project.
This means that we use the innovation potential of many start-ups in an AI hub ecosystem to develop and provide best-of-breed solutions. Our goal: We combine technology push and market pull to find the right startups to drive established enterprise companies forward.
Application examples of the diva-e AI Hub
Content creation
✓ Efficiency: With the help of AI, texts, graphics and even videos can be created quickly and error-free
✓ Consistency: Generative AI learns from past commands and implements acquired knowledge - this ensures a consistent style and tone of your content in the long term.
✓ Personalization: AI content can also be automatically adapted to the individual preferences and needs of your target group.
Find out more about SEO content creation with AI here - including tricks and prompt templates.
Marketing and advertising technologies
✓ Target group identification: The use of AI enables precise analysis of consumer data to create customized marketing messages.
✓ Automation: AI-supported automation allows repetitive workflows to be triggered automatically
✓ Real-time analytics: AI can interpret real-time data - this allows you to react more quickly to trends in order to optimize your business strategy in the long term.
Process efficiency
✓ Automation of routine tasks: AI automates repetitive and time-consuming workflows, freeing up human resources for more complex tasks.
✓ Optimal data processing: AI enables fast and precise processing of large amounts of data in real time
✓ Continuous optimization: Machine learning can analyze processes end-to-end and quickly identify patterns to continuously improve workflows.
