Generative AI Consulting For Organizations
Scale your content production, like text, images, audio, and video with generative AI. Discover practical use cases for your organization through tailored generative AI consulting.
Generative AI Consulting Services
DataNorth helps organizations around the world maximize generative AIs potential. We achieve this by offering a range of services, guaranteeing personalized guidance for your needs.
Offering a 20-hour Consultancy Package, Training & Workshops, inspiring Live Demos, customized Assessments, and Development & Implementation support.
Let’s unlock the potential of generative AI for your organization.
20-hour Consultancy Package: Expert help where you need it
Generative AI Workshop:
Getting started with Generative AI
“With our experienced team experts,
we can provide you with the best generative AI consulting services.”
Inspirational Generative AI Demo:
Get inspired by experts to use Generative AI
Get inspired by experts to use Generative AI
Generative AI Assessment:Identify the opportunities and risks of Generative AI
We Take Your Data Privacy & Security Seriously
Our solutions can be developed for both cloud and on-premise deployment.
Get Your Generative AI Consultation
Don’t wait any longer! Get ahead of your competitors with our generative AI consulting services.
Whether you’re aiming to automate content creation, personalize customer experiences, or generate data for simulations, our team of experts has the specialized knowledge and experience to help you achieve your goals.
€
3000
Also available for US clients at $
3300
20-hour Consultancy Package
Make use of our 20 hours Generative AI consulting services
Consultancy by our DataNorth AI experts
Getting started with Generative AI or get help for live or in-development Generative AI projects
Need more Generative AI consultancy hours?
Contact us for a quote.
Contact us for a quote.
€
2900
Also available for US clients at $
3200
‘Introduction to Generative AI’ training & workshop for 10 employees. Tailored to your business.
Both digital and on-location options available.
Optional travel & lodging expenses excluded.
Optional travel & lodging expenses excluded.
€
1500
Also available for US clients at $
1700
Inspirational live demo showing the future of Generative AI, with real-world Generative AI use-cases. Tailored to your audience.
Both digital and on-location options available.
Optional travel & lodging expenses excluded.
Optional travel & lodging expenses excluded.
Explore Our Use Cases
Discover how AI transforms workflows and processes across multiple industries.
Let’s unlock the potential of your organization together with generative AI consulting!
+31 50 2111631
Frequently Asked Questions
What is generative AI?
Generative AI is a branch of artificial intelligence that focuses on creating new content, such as text, images, audio, and video, by learning from existing data.
It uses algorithms to understand patterns, styles, or features from the data it is trained on, enabling it to generate new, similar data that didn’t previously exist.
This technology is used in various applications, including content creation, design, personalized recommendations, and more, providing innovative solutions across industries.
Why is generative AI consulting important?
Generative AI consulting is important because it helps organizations identify and implement generative AI solutions that can drive innovation, efficiency, and competitive advantage.
DataNorth consultants provide expertise in selecting the right AI models, integrating AI into existing workflows, ensuring data privacy and security, and optimizing for specific business outcomes.
This guidance is essential for organizations looking to leverage AI technology to enhance creativity, automate content generation, improve decision-making processes, and personalize customer experiences, ensuring they stay ahead in the rapidly evolving digital landscape.
How does generative AI work?
Generative AI works by using machine learning algorithms to analyze and learn from vast amounts of data, understanding patterns, styles, and structures within that data. It primarily employs two types of models: Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs).
These models train on a dataset to generate new data that is similar but not identical to what they have seen during training.
The process involves feeding the AI system a seed input, upon which the model applies learned patterns to produce new content.
Through iterative training, the model improves its ability to create high-quality, realistic outputs that can serve various applications, from art and design to text generation and beyond.