More and more AI platforms have come onto the market in recent years. Many companies find it difficult to keep track and identify the right use cases. We have therefore compiled a list of the best AI platforms and their use cases for interested companies.
Table of Contents
What is an artificial intelligence platform?
An AI platform is a technical infrastructure that provides companies and developers with tools and resources to create, train and deploy artificial intelligence applications. AI platforms support various use cases such as machine learning, data analysis, language processing and automation.
The best AI platforms for businesses
In the following, you will get to know the best AI platforms for companies. AI platforms usually require development capacities in order to be used effectively. If you’re not sure whether you need such a solution or would be better off with an off-the-shelf product, read this blog article.
1. amberSearch
amberSearch – helps companies to make all internal knowledge available for workflows & AI agents
Source: amberSearch
More and more data silos, ever faster growing data volumes – challenges that virtually every company is familiar with. amberSearch connects the knowledge of the various data silos as a kind of “Google” for the company. On the one hand, employees can access centralized and decentralized information, while on the other hand, ticketing tools, AI agents and workflow solutions can easily access internal knowledge. As an open platform, amberSearch also offers the necessary interfaces for developers to integrate internal knowledge into other workflows.
Advantages:
- Easy integration into existing solutions via standard connectors
- Open interfaces for developing your own systems
- German provider with excellent support
2. Telekom’s LLM Hub
Telekom’s LLM Hub – helps companies to use and integrate AI technologies efficiently
Source: Open Telekom Cloud
While many companies are becoming increasingly dependent on American providers, Deutsche Telekom’s LLM Hub offers a central platform for accessing advanced language models. This innovative solution acts as a hub that provides developers with easy and GDPR-compliant access to various Large Language Models (LLMs). On the one hand, companies can benefit from standardized APIs and ready-made Terraform modules, while on the other, the LLM hub can be seamlessly integrated into existing infrastructures and business processes. As a flexible AI suite, the LLM Hub also offers the possibility to develop and implement customized AI solutions for specific business requirements.
Benefits:
- Easy API access to the latest LLMs and base models
- Scalable architecture with shared or dedicated resources
- Flexible pricing models, from pay-as-you-go to monthly fees for private instances
3. IBM Watson
IBM Watson – develop your own AI world in customer supportelt im Kundensupport
Source: IBM
IBM Watson acts as a powerful cognitive platform that analyzes company data, provides valuable insights and optimizes decision-making. On the one hand, employees can benefit from personalized recommendations and intelligent information extraction; on the other hand, Watson can be integrated into existing business processes and applications with little development effort. As an AI suite, Watson offers developers the necessary tools and interfaces to create customized AI solutions for specific business requirements.
Advantages:
- Comprehensive AI capabilities such as natural language processing and machine learning
- Scalable architecture for companies of any size
- Industry-specific solutions for sectors such as healthcare, finance and retail
4. Celonis
Celonis – analyzes and optimizes processes to increase efficiency
Source: Celonis
As the leading process mining solution, Celonis focuses primarily on structured data. The Celonis platform positions itself as a powerful tool that analyzes process data, provides valuable insights and optimizes decision-making. On the one hand, employees can benefit from real-time process analysis and data-driven suggestions for improvement; on the other hand, Celonis can be seamlessly integrated into existing business systems and applications. As a versatile suite, Celonis also provides the necessary tools and interfaces to create customized process optimization solutions for specific business requirements.
Benefits:
- Comprehensive process mining capabilities for real-time insights into business processes
- Automation and optimization of workflows to increase operational efficiency
- Scalable architecture for organizations of all sizes and cross-industry solutions
5. Salesforce Einstein AI
Salesforce Einstein AI – perfect for getting the most out of customer data in CRM
Source: Salesforce
Companies are collecting more and more data about their customers – often in their CRM. One of the leading providers of cloud-based AI systems is Salesforce. As a further development of this, Salesforce has developed its Einstein AI. This innovative platform acts as an integrated AI layer that analyzes customer interactions, provides predictive insights and automates business processes. On the one hand, sales employees can benefit from personalized recommendations and automated forecasts; on the other hand, Einstein AI can be integrated into all Salesforce Cloud solutions. Developers can use various APIs to develop customized AI-supported applications for specific business requirements.
Advantages:
- Native integration into the Salesforce platform for instant AI functionality within the CRM system
- Cross-departmental solutions for sales, service, marketing and commerce
- Continuous further development of the platform by Salesforce
6. ChatGPT
ChatGPT – Build any workflow withAI
Source: OpenAI
With the release of ChatGPT, OpenAI has triggered a real AI hype. This advanced language model platform acts as a versatile digital assistant that understands natural language, handles tasks and generates creative solutions. On the one hand, employees can benefit from automated text generation and intelligent information processing, while on the other, ChatGPT offers all the interfaces needed to develop virtually any application. There are no standard connectors to existing data silos in the company. One challenge for many companies is the rapidly rising cost of intensive use of the API.
Advantages:
- Powerful natural language processing for a wide range of use cases
- Continuous further development and improvement through OpenAI
- Adaptable platform for different industries and company sizes
7. ClickUp
ClickUp – perfect for AI-optimized project managementte Projektmanagement
Source: ClickUp
Projects and processes in companies are becoming increasingly complex. This is where ClickUp positions itself as an innovative all-in-one platform for productivity and project management. At the heart of this versatile solution is ClickUp Brain, an advanced AI function that connects tasks, documents, team members and project information in a central digital space. On the one hand, employees can benefit from personalized workflows, automated routine tasks and AI-supported communication, while on the other, ClickUp can be seamlessly integrated into existing company applications. As a flexible productivity suite, ClickUp offers extensive integration options to implement customized workflows for specific business requirements.
Advantages:
- AI-supported functions such as automatic document creation and intelligent project status queries
- Customizable views and automations for different team structures and projects
- Comprehensive integrations with other tools
8. Google Cloud AI
Google Cloud AI – perfect for integrating AI into apps
Source: Google
More and more mobile devices with more and more apps. While decisions are becoming increasingly data-driven, Google is using access to devices to develop AI services for companies and app providers with Google Cloud AI. This comprehensive solution acts as a central hub that combines Google’s advanced AI technologies with the scalability and reliability of the Google Cloud. On the one hand, employees can benefit from advanced machine learning models, natural language processing and computer vision, while on the other, Google Cloud AI can be integrated into existing processes and applications. As a flexible AI suite, Google Cloud AI also provides developers with the necessary tools, APIs and frameworks to create customized AI solutions for specific business requirements.
Advantages:
- Access to Google’s cutting-edge AI technologies such as BERT and Co
- Pre-built APIs for the implementation of AI functions
- Integration with other Google Cloud services for comprehensive data analysis and processing
9. Azure AI
Azure AI – perfect for the integration of Microsoft cloud solutions
Source: Azure
Azure AI aims to act as an innovative solution and central hub for companies that combine modern AI technologies with the benefits of Azure Cloud. On the one hand, employees can benefit from pre-trained models, cognitive services and machine learning products; on the other hand, Azure AI can be integrated into existing company applications and processes with a few developer resources.
Advantages:
- Broad spectrum of AI services, from speech processing to computer vision
- Scalable architecture for companies of all sizes and cross-industry solutions
- Seamless integration into the existing Microsoft ecosystem and Azure services
10.AWS AI Services
AWS AI Services – helps companies to fully integrate artificial intelligence into their business processes
Source: AWS
As the largest market competitor to Azure, AWS naturally also offers various AI services. In combination with the AWS Cloud, AWS offers various AI products and corresponding endpoints so that developers can develop various services for their companies.
Advantages:
- Extensive range of AI services for a wide variety of use cases, from customer service automation to fraud detection
- Scalable architecture and flexible pricing models for companies of all sizes
- Deep integration with other AWS services for a holistic cloud strategy
11. TensorFlow
TensorFlow – helps developers create and implement powerful AI models
Source: TensorFlow
TensorFlow is establishing itself as the leading open source framework for the development and deployment of AI solutions. This versatile platform acts as a comprehensive ecosystem that combines advanced algorithms, data processing and model optimization in a flexible framework. On the one hand, data scientists and developers can benefit from a robust library for numerical calculations and high-performance tools for deep learning, and on the other hand, TensorFlow can be seamlessly integrated into existing development environments and production systems. As an open and extensible platform, TensorFlow provides the necessary interfaces and extensibility to implement customized AI solutions for specific business and research needs.
Advantages:
- Extensive library of pre-built models and components for rapid development
- Flexibility to run on different platforms, from mobile devices to high-performance computers
- Active community and continuous development through Google and open source contributions
What are the benefits of using AI platforms?
AI platforms offer numerous advantages that help companies and developers alike to achieve their goals more efficiently. An AI platform simplifies access to advanced technologies such as machine learning, natural language processing and data analytics without the need for in-depth programming knowledge. This enables companies to develop innovative solutions faster, automate work processes and make better decisions based on data-driven insights. In addition, many AI platforms offer scalable infrastructure, which means they can be flexibly adapted to the needs of growing companies. These benefits allow companies to save time, costs and resources while increasing their competitiveness.
The potential challenges of AI platforms
AI platforms offer many benefits, but they are not without their challenges. If you want to invest in such a solution, you should be aware of these potential hurdles:
- Cost: Building an AI platform can be expensive. The more extensive and complex the desired functions are, the more time and resources are required. In addition, regular updates must be planned to ensure that the platform is always equipped with the latest technology.
- Security risks and data protection: The handling of sensitive data often raises concerns. It becomes particularly critical when personal data is used without consent. In addition, AI systems can be susceptible to cyberattacks, which could result in them being manipulated or misused.
- Data dependency: AI cannot function without high-quality and sufficient data. The platform requires constantly up-to-date and accurate data in order to perform its tasks successfully. Without this basis, efficiency drops significantly.
- Bias and fairness: The quality of AI depends directly on the data used to train it. If this data contains biases or imbalances, the AI may produce discriminatory or problematic results, which could damage your reputation if it goes unnoticed.
Despite these challenges, the benefits of AI platforms are significant. With careful planning and a deliberate approach, you can overcome these hurdles and realize the full potential of your AI solution.
How to choose the best AI platform for business
Choosing the ideal AI platform depends on several important criteria. Here are three key aspects you should consider:
- Key features: Look for platforms that offer AutoML capabilities to automatically select the optimal algorithm for your tasks. Collaboration tools that allow teams to work together on projects and continuous improvement mechanisms to keep data up to date are also crucial. The ability to seamlessly integrate the platform into your existing tools and systems is also particularly important.
- Core functions: A powerful AI platform should be able to clean and process data efficiently to make it usable for analysis. It should also be able to train models with different algorithms, reliably evaluate their performance and provide the finished models.
- Ease of use: The platform should be easy to use, ideally with an intuitive user interface that makes it easy for beginners to access. Tools with drag-and-drop functions and extensive learning resources support the application. Another important factor is responsive customer service that can help quickly with questions or problems.
AI Platforms in future
Future AI platforms will be characterized by their ability to cooperate seamlessly with AI agents and multi-agent systems. Such platforms must have standardized interfaces and flexible protocols that enable the dynamic exchange of information and tasks. It will be crucial that they act not just as isolated tools, but as integrative ecosystems that can interact independently with other AI agents and solve complex problems together. This collaboration will be enhanced by technologies such as distributed learning, autonomous decision making and adaptive coordination, ushering in a new era of intelligent, networked systems.
Now it’s your turn!
Have you tried amberSearch yet? If not, you can do so here: