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IT is not just about coding. Citizen developers, without deep coding knowledge, can contribute using low-code and no-code platforms. These platforms enable the creation of applications through visual interfaces or with customisation options and coding support. Generative AI facilitates code creation through natural language queries. Citizen developers, including domain experts, bridge the gap between needs and technical implementation. The roles of Citizen Developer and Citizen Integrator connect domain specialists with IT professionals. Citizen development is recognised as...
In this article, our CEO Sebastian underscores the transformative power of Large Language Models (LLMs) in the corporate context and provides a guideline for their implementation. Far from being a mere glimpse into the future, this is a strategic imperative that forward-thinking companies seize today to drive groundbreaking innovations.
Most occasions of making LLM's usable in various business scenarios require the models to be aware of business data and documents to be queried. A promising approach for achieving this awareness is the concept of in-context learning where the LLM is provided with the relevant data on the fly while querying. As the model is not fine-tuned, one can save the computational costs of adjusting model weights and be flexible with regards to the context of the inquiry at the same time. In this article, we are going to exemplarily explore basic in-context learning approaches and their caveats with externally provided and self-hosted LLMs...
This article explores how to integrate large language models, like ChatGPT, with proprietary data. The recent advent of Large Language Models creates numerous opportunities for companies, albeit connecting them with in-house data poses a challenge in such a transformation. This article discusses the different approaches to this issues, such as fine-tuning and in-context learning. It also mentions challenges and risks attached to them.
Computer vision is ubiquitous. It is an exciting field of study that involves teaching machines to "see" and interpret the world around them, using digital images or videos. In the past, computer vision has been a separate field of science and engineering. One of the key differentiators between modern computer vision and its earlier iterations is the shift from rule-based to data-driven approaches. With the advent of deep learning, computer vision has moved away from handcrafted features and towards end-to-end models that can learn directly from raw data...
Business Intelligence (BI) is a critical aspect of modern-day decision making in organisations. It refers to the use of data, technologies, and analytical methods to transform raw data into actionable insights that support effective decision making. BI helps organisations to leverage their data assets to gain a competitive advantage, improve operational efficiency, and make better decisions. Whether it's identifying trends in sales data, forecasting future demand, or optimising supply chains, business intelligence provides valuable insights that drive business success...
Today’s increased level of automation in manufacturing also requires the automation of material and equipment inspection with as little as possible human intervention. To stay competitive while meeting industry standards, companies strive to achieve both quantity and quality in production without compromising one over the other. However, manual quality inspection of work pieces typically allows only for the analysis of individual samples from a given batch of products...
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