Artificial Intelligence (AI) Solutions do not require intimidating and expensive teams, contracts, consultants, services or even installations. We play a democratising roll in the world of AI, we believe in pacts.
We simply collaborate with you to develop your AI solutions and skills with open-source tools and coaching. Sometimes a few lines of code might create exiting insight to grow your business excellence or simply get your things done efficiently.
“Let the dataset change your mindset”
Hans Rosling
Are you using the story beyond your data? Do you really care about your individual customers, how you reach and help them, how your business is generated and perhaps even more interesting where it needs refitting?
You recogise the cycle of: “Let’s try-out another campaign, concept or re-organisation to reach your markets, budgets and targets”.
Connecting business world with the tech world is crucial. Business concepts are often not well defined in the tech world. Expensive teams or solutions may sit idle while they don’t deliver on the business promise. Deep understanding of both worlds is what we use to move forward efficiently.
Care for bottom-lines? Then perhaps data must interests you. Developing insights starts with delving deep into your data. AI tools just help by mathematically structure and crunch your multi-dimensional data and reveal hidden underlying patterns. Your interest defines your chances of success.
Are you open? Collaboration is our preferred way of working on projects. We believe that long term relationships will lead to synergy overtime. We have deep understanding of markets and business models. Together we develop solutions you care about, based on your input, situation and schedule. “Sharing is caring.”
You want to be flexible and move fast? Building a complete in-house AI capability, outsourcing these capabilities, or using AI-as-a-service plans all have their pros and cons. Our collaboration approach is focussed on getting the job done quickly and efficiently.
All data will be handled with care and with respect to the new privacy law. All cases and data will be considered sensitive, private and are not shared. Furthermore encryption and randomising ensure that personal data is protected and unrecognisable during development.
AI tools create exiting insight or simply get things done more efficiently then most other analytic tools.
Simply collaborate to develop AI solutions with open-source tools without shopping carts.
Speaking the same business language will speed up the development and save you a lot of mishaps.
Gradually develop your AI solutions, skills and explore the real power of AI by scaling across the organisation.
Connecting the business world with the tech world is crucial. Business concepts and metrics are often poorly defined in the tech world. Expensive teams or solutions may sit idle when they don’t deliver on the business promise. Deep and clear understanding of both worlds is what we use to move forward efficiently.
Explorative Data Analysis is a crucial phase to help AI models perform and behave well. Great algorithms fail on bad data. “Garbage in is garbage out”.
We preprocess, engineer, link and explore datasets to gain company knowledge and build the foundation for effective algorithm design.
Models are representations of algorithms that catch patterns in data by a learning and optimisation process. We assess, build, tune and validate AI models iteratively until we meet your performance metrics.
Visually presenting meaningful patterns and insight to stakeholders is obviously paramount. We visualise the data during research and development and for presentations. Recommended talks about data visualisation; Hans Rosling, more about; David McCandless
We coach and train your staff in tailored workshops so they embrace their AI tools and successfully build your smart future. Ultimately the value is not in the tools and models but in your organisations’ ability to embed, use, scale and maintain them.
Data Science is called ‘Science’ as it is an iterative process of research to optimise a certain objective. This process can’t be executed without metrics, like KPI’s. We evaluate the model performance on agreed metrics.
Coding will be a basic skill required in future hirings, not without reason. But don’t fear coding is made easier by using Jupyter interactive notebooks. Code a line or two and run these interactively to view your results.
Moreover Jupyter Notebooks can be run entirely in the cloud!
We can offer tailored workshops for introduction to Applied Data Science. You will be able to use AI tools for your job. However do note, it will take years to master Data Science. There are no short-cuts to build models that work best for you; “no free lunch” as data scientists say.
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