top of page

AI and Tech

International AI Day: How IQONIC.AI Is Shaping the Future of Artificial Intelligence

"Generative AI is the most powerful tool for creativity ever created. It has the potential to unleash a new era of human innovation."

– Elon Musk

The Day of Artificial Intelligence Is Upon Us: Tracing the Rapid Development of AI in Recent Years

The term ‘artificial intelligence’ was coined by John McCarthy in 1956 and describes machines that simulate human-like thinking. The first approaches were found in rule-based systems, followed by neural networks and machine learning. With increasing computing power and data volumes, AI has experienced enormous progress in recent years. 16 July was declared International AI Day - an occasion to take a look at the latest developments:

Banner

2020: Advances in language processing: OpenAI released GPT-3, a powerful language model that can generate human-like text. This model has been used in areas such as automated text production and chatbots.

2021: AI in image generation: With the introduction of DALL-E by OpenAI, a model was presented that is able to generate images from text descriptions. This technology opened up new possibilities for designers and creatives by bridging the gap between language and images.

2022: Launch of ChatGPT: In November 2022, OpenAI introduced ChatGPT, an AI assistant that understands and generates natural language. This tool quickly became popular and led to a broad acceptance of AI-supported applications in everyday life.

2023: AI in the healthcare sector: AI systems are increasingly used in medical diagnostics. They enable faster and more precise detection of diseases and support doctors in creating personalised treatment plans.

2024: Claude 3 from Anthropic: Anthropic introduced Claude 3, a language model with improved performance. It was offered in different versions, including Haiku, Sonnet and Opus, each optimised for specific applications.

Hintergrund Element

Understanding Exactly: What Distinguishes AI from Traditional Algorithms

In order to understand the complexity of AI, it is important to know the difference between algorithms and AI. 

An algorithm is a fixed sequence of instructions that solves a problem step by step. It is rule-based and always performs the same task in the same way. A simple example is a recipe for baking a cake: You follow the exact steps given to get the desired result. 

 

Artificial intelligence, on the other hand, goes beyond this. While an algorithm works according to fixed rules, AI can use machine learning to recognise patterns in data, learn from them and improve independently. Instead of simply working through predefined steps, AI adapts to new situations. An example illustrates the difference: a traditional spell-checking algorithm recognises errors based on a predefined list of rules. An AI-based spellchecker, on the other hand, learns from millions of texts and also understands the context in order to make more intelligent correction suggestions. 

In short, an algorithm is a fixed sequence of instructions, while AI is based on algorithms but learns and evolves flexibly.

IQONIC.AI: From Simple Photo Databases to Advanced Image Analysis

Hintergrund Element

"In a world where ChatGPT and other AI applications are taking over many tasks that people used to have to do themselves or hire others to do, the question of ‘How can I add real value’ becomes more relevant than ever."

– Hendrith Vanlon Smith Jr.

IQONIC.AI also faced up to this question and developed a pioneering solution over the years. The foundations of the company were laid back in 2020, when IQONIC.AI set up its first photo database in close collaboration with dermatologists. The aim was to develop an innovative AI-supported analysis technology for skincare - for both the medical and cosmetic sectors, as a lifestyle product.

A decisive breakthrough was achieved when the team realised in 2023 that skin and hair analyses can be performed on the same images. This realisation, combined with the dermatological principles from the early days, led to the technology being perfected. 2024 marked another innovative chapter: the technology was refined even further with the introduction of Lipscan. Today, various B2B and B2C sectors, including pharmacies, hair salons and beauty brands, benefit from the personalised skincare recommendations made possible by IQONIC.AI.

The possibilities for training the AI on new models and recognising new features are almost limitless.

Hintergrund Element

Why IQONIC.AI Is the Pioneer in AI-Powered Skin and Hair Analysis Software

IQONIC.AI sets new standards in AI-supported skin and hair analysis and stands out from all other providers thanks to its decisive advantages:

Most accurate analysis on the global market - Based on an extensive, scientifically sound photo database and years of AI optimisation.

Extremely flexible white labelling - The technology can be seamlessly integrated into existing brands and systems, adapted to individual design and branding requirements.

Highest data protection standards - Fully GDPR compliant with secure, anonymised data handling processes.

Best UX design - Intuitive, appealing user interfaces ensure an outstanding user experience and ease of use, which has been confirmed in user tests with 1000s of test subjects.

All-round service: Marketing & CRM - In addition to AI technology, IQONIC.AI offers comprehensive support for customer retention, market launch and marketing strategy.

Cross-industry partnerships - IQONIC.AI works with pharmacies, retailers, hair salons and leading B2C brands to optimise personalised skin and hair care worldwide.

In short: IQONIC.AI is not just an AI - it is the future of personalised commerce.

bottom of page