18th September 2023

Intelligent self-service AI and how to use it

One of the most remarkable developments in the digital revolution is, without doubt, artificial intelligence (AI). Among the various technologies, self-service AI has begun to gain substantial attention. To use AI, you don't need to be particularly tech-savvy or have a thorough understanding of the underlying algorithms and processes. Rachid M’haouach, team manager Data Analytics at Spuerkeess, and his assistant team manager, Christophe Atten provide insight as well as five useful tips on how to best use self-service AI tools at work.

1. Can you define intelligent self-service and self-service AI tools?

Intelligent self-service is a form of AI that usually comes with an intuitive interface that enables the input of data as well as the reception of output. Users do not need to understand the complex algorithms to accomplish a wide range of tasks, such as, for example, data analysis, prediction modeling, image recognition or natural language processing. This AI is about usability and ease of use.

Self-service AI tools, on the other hand, allow individuals and businesses to leverage the power of artificial intelligence without expertise in AI or machine learning. Thus, the use of AI has been democratized, making it accessible to a wider range of users, beyond the realm of data scientists or AI experts. Users’ goal is improved efficiency, deeper insights, and enhanced decision-making capabilities.

Some popular features are:

  • Natural Language Processing (NLP) tools understand and analyze human language, enabling sentiment analysis or language translation.
  • Data visualization helps users visually explore data to detect patterns and generate insights.
  • Automated machine learning enables non-tech-savvy users to build predictive models.
  • Speech recognition transcribes spoken language into written form, enabling voice assistants or transcription services.
  • Image recognition can identify and categorize objects within images. This can be very useful in fields like healthcare, security, or e-commerce.

2. What are the benefits of self-service AI?

Self-service AI has numerous benefits that extend beyond individual empowerment:

  • Efficiency: By automating repetitive tasks and providing quick access to information, these tools significantly speed up workflows.
  • Scalability: Self-service AI tools can be used simultaneously across an organisation, making it easy to scale up AI usage.
  • Cost savings: By reducing the need for external experts, business leaders significantly reduce cost.
  • Agility: As these tools are on-demand, users can adapt to changing needs and make real-time decisions.
  • Empowerment: These tools empower non-tech-savvy users to utilise AI capabilities.

3. And the downsides?

Despite the numerous benefits, it's essential to acknowledge some challenges associated with self-service AI:

  • Skill requirements: Users must familiarise themselves with the tool's functionalities.
  • Data quality and biases: The results from these tools are only as good as the data they are based on. If the data used is biased or of poor quality, the results will be skewed.
  • Limitations in complex tasks: While these tools excel at routine tasks, they might fall short when it comes to complex or specialized analysis requiring expert knowledge.

4. Do you see any trends for the coming years?

As these tools become more accessible and user-friendly, a broader range of users will be able to leverage AI capabilities. AI tools will increasingly work alongside humans, complementing their skills and enhancing productivity. Thus, there will be a growing focus on ethical considerations like transparency, fairness, and accountability. Self-service AI tools will be integrated into existing workflows and systems, simplifying AI incorporation into daily tasks. Consequently, AI tools will provide more personalized experiences, tailoring recommendations, and insights to individual user needs.

5. Do you have five useful tips how to best use self-service AI tools at work?

  1. Knowing your goals will help you choose the right tool and use it effectively.
  2. Take time to familiarize yourself with the tool's features and functionalities to help you maximise the tool's potential.
  3. The performance of AI tools heavily relies on the quality of data they work with so make sure that your data is of high quality, relevant, and properly prepared.
  4. Adopt a learning mindset and be mindful of potential limitations or biases.
  5. Regular monitoring and adjustment will ensure that you are getting the most out of your tool.

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