AI is the most influential technology ever invented. Let us introduce you to some of its breathtaking capabilities.
This is what an AI thinks “point cloud of neurons inside a human brain connected by lightning tendrils” looks like
No more limits to your
IMAGINATION
Create anything you want with AI
Like this image
Dresden
Pyramides
Hedgehog
Classic
Japanese Art
Japanese Art
Happiness
Realistic
Picasso
Monet
Love
Modern
Modern
Modern
Rage
Picasso
Painting
Mondrian
Sadness
Van Gogh
Van Gogh
Picasso
Trust
Impressionism
Wave of Kanagawa
Art Deco
Emotions
Tip: Hover over the pictures to see the generated art style
AI Art
Recent advancements in AI and computational technology made it feasible to train AI systems that learned from a wide variety of images and their correspondig textual descriptions. This makes it possible to generate art by just describing the desired outcome to the AI. We used such an AI and demonstrate its power by generating images in different art styles of Dresden, a hedgehog and pyramids.AI Art
Recent advancements in AI and computational technology made it feasible to train AI systems that learned from a wide variety of images and their correspondig textual descriptions.
This makes it possible to generate art by just describing the desired outcome to the AI.
We used such an AI and demonstrate its power by generating images in different art styles of Dresden, a hedgehog and pyramids.
Dresden
Pyramides
Hedgehog
No more limits to your
IMAGINATION
Create anything you want with AI
Like this image
This is what an AI thinks “point cloud of neurons inside a human brain connected by lightning tendrils” looks like
Dresden
Pyramides
Hedgehog
Classic
Japanese Art
Japanese Art
Happiness
Realistic
Picasso
Monet
Love
Modern
Modern
Modern
Rage
Picasso
Painting
Mondrian
Sadness
Van Gogh
Van Gogh
Picasso
Trust
Impressionism
Wave of Kanagawa
Art Deco
Emotions
Tip: Hover over the pictures to see the generated art style
AI Art
Recent advancements in AI and computational technology made it feasible to train AI systems that learned from a wide variety of images and their correspondig textual descriptions. This makes it possible to generate art by just describing the desired outcome to the AI. We used such an AI and demonstrate its power by generating images in different art styles of Dresden, a hedgehog and pyramids.AI Art
Recent advancements in AI and computational technology made it feasible to train AI systems that learned from a wide variety of images and their correspondig textual descriptions.
This makes it possible to generate art by just describing the desired outcome to the AI.
We used such an AI and demonstrate its power by generating images in different art styles of Dresden, a hedgehog and pyramids.
Dresden
Pyramides
Hedgehog
AI for everything you need
Product Enhancement
AI has the potential to greatly enhance product development and improve the quality of products. By using data and analytics, AI can help companies to identify trends and customer needs more quickly and accurately. Additionally, AI can help to automate product testing and improve the efficiency of product development. Ultimately, AI can help companies to create better products that are more tailored to customer needs.
Sales
AI is changing the sales landscape by providing sales teams with the ability to automate repetitive tasks, such as prospecting and lead qualification. Additionally, AI can help sales teams to identify patterns and trends in customer data to better understand customer needs and preferences. This allows sales teams to tailor their approach to each customer, resulting in increased sales and improved customer satisfaction.
Marketing
The biggest problem in advertising is showing people the right ad at the right time. Understanding the consumer is key! The human behavior is complicated and multifacessed. AI allows companies to understand their Big Data to learn about the preferences of their customers. Therefore the are able to show targeted advertisement to drastically reduce costs and increase engagement and sales.
Predictive Maintenance
AI can have a huge impact on predictive maintenance by helping companies to use their data more effectively. AI can help to identify patterns and trends in data that would otherwise be difficult to spot, and can help to make predictions about future failures. This can help companies to plan their maintenance schedules more effectively, and can ultimately help to reduce the cost of maintenance and improve the reliability of equipment and therefore production uptime.
AI for everything you need
Product Enhancement
AI has the potential to greatly enhance product development and improve the quality of products. By using data and analytics, AI can help companies to identify trends and customer needs more quickly and accurately. Additionally, AI can help to automate product testing and improve the efficiency of product development. Ultimately, AI can help companies to create better products that are more tailored to customer needs.
Predictive Maintenance
AI can have a huge impact on predictive maintenance by helping companies to use their data more effectively. AI can help to identify patterns and trends in data that would otherwise be difficult to spot, and can help to make predictions about future failures. This can help companies to plan their maintenance schedules more effectively, and can ultimately help to reduce the cost of maintenance and improve the reliability of equipment and therefore production uptime.
Marketing
The biggest problem in advertising is showing people the right ad at the right time. Understanding the consumer is key! The human behavior is complicated and multifacessed. AI allows companies to understand their Big Data to learn about the preferences of their customers. Therefore the are able to show targeted advertisement to drastically reduce costs and increase engagement and sales.
Sales
AI is changing the sales landscape by providing sales teams with the ability to automate repetitive tasks, such as prospecting and lead qualification. Additionally, AI can help sales teams to identify patterns and trends in customer data to better understand customer needs and preferences. This allows sales teams to tailor their approach to each customer, resulting in increased sales and improved customer satisfaction.
AI Training
AI is able to “learn” on its own by analyzing new data or new inputs and adjusting itself to improve its performance. In contrast, classical data evaluation and Data Science techniques require humans to analyze the data and make adjustments to the algorithms or models being used. AI can do this automatically, which means that it can continue to improve its performance over time without any human intervention.
Training
Use the available training data to learn patterns und thus train the model.
(Big) Data contains input and output variables. Implicitly, correlations are embedded in this dataset. AI enables us to automatically extract selffound features representing the inert logic.
Validation
Test the model against unseen data and evaluate if it correctly generalizes.
Learning features on a training set is only useful if they generalize onto new data. Therefore, features need to abstract the connections appropriatly.
Model adjustment
Use the knowledge gained from validation to determine if the model is suited for the task or if it has to train again.
Scoring the model enables us to either adjust it, choose a new model to test or determine to use this model because its already understanding the data.
AI Training
AI is able to “learn” on its own by analyzing new data or new inputs and adjusting itself to improve its performance. In contrast, classical data evaluation and Data Science techniques require humans to analyze the data and make adjustments to the algorithms or models being used. AI can do this automatically, which means that it can continue to improve its performance over time without any human intervention.
Training
Use the available training data to learn patterns und thus train the model.
(Big) Data contains input and output variables. Implicitly, correlations are embedded in this dataset. AI enables us to automatically extract selffound features representing the inert logic.
Validation
Test the model against unseen data and evaluate if it correctly generalizes.
Learning features on a training set is only useful if they generalize onto new data. Therefore, features need to abstract the connections appropriatly.
Model adjustment
Use the knowledge gained from validation to determine if the model is suited for the task or if it has to train again.
Scoring the model enables us to either adjust it, choose a new model to test or determine to use this model because its already understanding the data.
Are you interested in working together to improve the utilisation of your data?
Let us support you in your challenges!
Are you interested in working together to improve the utilisation of your data?
Let us support you in your challenges!
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High-quality AI and data science consulting for our customers
Legal
Pages
Navigation
Top
AI Applications
AI Training
Contact
Socials
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