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AI as a Service

How AIaaS Helps You Address the Challenges of Implementing AI

The implementation of AI presents many challenges for companies. Due to a lack of funds, personnel, and time, they see AI as a forward-looking technology but struggle to put it into practice.

AIaaS (Artificial Intelligence as a Service) addresses these challenges by providing a lightweight entry into AI through cloud deployment with low risk and without significant investment.

Leftshift One offers over 80 turnkey AI models through AIaaS. You benefit from efficient rightsizing in the cloud, AI model cost optimization, and a transparent pricing model.

AIaaS at Leftshift One includes NLP (Natural Language Processing), computer vision, audio, and tabular data. We guarantee a simple and quick start in the first step through use case definition, followed by a data audit and the creation of an initial prototype.

CEO -Leftshift One - Patrick Ratheiser

Patrick Ratheiser

CEO & Founder

How AIaaS Helps You Address the Challenges of Implementing AI

The implementation of AI presents challenges for many companies According to a representative survey by the digital association BITKOM, two-thirds of the surveyed companies consider AI to be the most important future technology. However, only 8 percent of companies currently use AI applications—largely due to a lack of funds, personnel, and time. While a quarter of respondents plan to invest in AI, smaller and medium-sized enterprises particularly hesitate with such initiatives. Many companies face significant challenges when utilizing AI. Several factors limit the ability to reach the full potential of AI. Often, there is little know-how regarding the deployment and configuration of AI models. The lack of IT resources and capacity for complex projects is exacerbated by a shortage of AI experts. These efforts also depend on high data quality to achieve the desired success. AIaaS Addresses AI Challenges and Enables a Lightweight Entry AIaaS (Artificial Intelligence as a Service) allows companies to adopt and implement AI solutions without significant investment and with reduced risk. Similar to SaaS (Software as a Service), AI models are provided via the cloud. Companies, regardless of size and budget, gain quick and easy access to AI, allowing them to focus on their core business while the AIaaS provider ensures operation and continuous development. The use of AIaaS offers significant advantages. The cloud-based approach increases the flexibility and scalability of AI projects. Additionally, budgeting and planning become easier due to absolute transparency regarding the actual usage of the services. Besides a quick and easy setup, increased speed and adaptability also help unlock the full potential of the underlying data. However, some risks should also be considered—cloud provision raises data protection and security factors that can lead to a so-called “black box.” The efficiency of AI models should also be carefully monitored, as the high computational power required can potentially lead to increased costs. Leftshift One Offers Turnkey AI Models for Quick and Customized AI Benefits To support companies in the rapid and straightforward implementation of AI projects, we offer AIaaS for a lightweight entry. With over 80 AI models, you can get started immediately and integrate them into your existing systems via APIs. We ensure smooth operation around the clock to relieve you of operational burdens. The provided models continuously learn and evolve over time. AIaaS at Leftshift One means full control over the deployed AI models without handing them over to a hyperscaler. You can minimize the risk of creating a “black box” when deploying AI models via the cloud through our AI TRiSM approach. To enhance the trustworthiness of AI applications, governance, fairness, reliability, efficiency, security, and data protection of AI models are prioritized.

In addition, our approach provides you with the following further advantages:

  • Rightsizing in der Cloud: To ensure high efficiency in the cloud-based approach, we analyze the utilization and performance metrics of the deployed resources based on actual needs. This helps avoid unused computational capacity and leads to significant cost savings.
  • AI Model Cost Optimization: DThe lightweight nature of our AI models allows for efficient and resource-saving operations. With low costs, there are no compromises on service performance.
  • Transparentes Preismodell: One advantage of our AIaaS is the straightforward billing of dynamically scalable AI services. This enables you to maintain full cost transparency at all times.
What AI Models Does Leftshift One Offer as AIaaS? You can benefit from our AI models in the following categories, where you provide input via API:

NLP (Natural Language Processing): Texts can be translated, sentiment-analyzed, or categorized in natural language. NLP is used, for example, in service management or the analysis of applicant data.

Computer Vision: Large volumes of image data can be classified and used for predictions. One application is automated quality inspection in manufacturing.

Tabular: Predictions are made based on tabular, structured data—such as in business intelligence and customer classification.

Audio: Audio recordings are automatically categorized and classified—an application area is predictive maintenance, such as analyzing engine noises in quality management within the automotive industry.

Wie sieht Ihre AIaaS-Reise mit Leftshift One aus?

At the beginning of your AIaaS journey with Leftshift One, the definition of use cases is essential. Here, we ensure that AI is only deployed where it truly adds value, focusing on authenticity.

In the next crucial step, the Data Audit analyzes all of your company’s data for further processing with AI. After assessing the quality and quantity of the data, it will be converted into a machine-readable format to enable the implementation of your own AI solution. Conducting a Data Audit with Leftshift One significantly increases the success rate of AI projects—especially considering that without a prior Data Audit, most initiatives do not transition from the testing phase to operational use. Following the Data Audit, the decision will be made on whether an AI solution can be implemented with the existing data.

In the final phase of your agile AI project, the creation of an initial prototype takes place during machine modeling and software development, which we will then operate in the cloud. You have options regarding the infrastructure—ranging from simple and rapid scalability in the cloud to scalability in your own data center with a private cloud, or even an on-premise integration for complete data sovereignty and security.

Utilize our trustworthy and explainable AI models in an energy-efficient and cost-effective manner to sustainably solve your problems with the AIaaS approach. Book your non-binding AI expert consultation here now and start with a Data Audit!

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