Ai And Machine Learning

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Data scientists and Data science are required to move from your traditional BI to advanced predictive and prescriptive analytics. We help you innovate across your operations and develop your advanced analytics roadmap. The work of our data scientists consists of the following features:
Prepare Data, Build Machine Learning Models, Train Models, Manage Models, Track Experiments and Deploy Models | Work with Python, R, GO, Julia to design and deploy ML developments | Setup a dedicated Digital AI Garage for custom AI and APP developments

When your project requires bundled services and resources throughout the year, we can offer a data managed service subscription which guarantees availability of talented resources throughout the year. Get in touch with us and request a data-managed services subscription. We only charge out for a minimum utilisation time of resources which balances out costs and benefits throughout the year for you and for us.

 
 
 
 
 
 
 
 

Registered customers have access to the full list of bookings services under this services group. If you are not registered, we invite you to book an appointment to learn more about our company or you can sign up online and discover all our bookings services. To book a service, you need to become a registered customer. 

meeting 70This is a free consultation. We are happy to book a 30 min+ slot online or over the phone to discuss your innovation plans and move into the space of AI and APP developments. We work with skilled Data Scientists from various domains and we can support you in your advanced analytics roadmap. Please have a look at our available time slots for business meetings and book a time that works for you and for us. 

Remote Session: Once the appointment is confirmed, you receive a separate online invite for a 30 min session.

data scienceData scientists and Data science are required to move from your traditional BI to advanced predictive and prescriptive analytics. We help you innovate across your operations and develop your advanced analytics roadmap. The work of our data scientists consists of the following features: Prepare Data, Build Machine Learning Models, Train Models, Manage Models, Track Experiments and Deploy Models | Work with Python, R, GO, Julia to design and deploy ML developments | Setup a dedicated Digital AI Garage for custom AI and APP developments

go developmentGo Developer is a developer with a knowledge of Go programming language. Go is one of the most recent additions to the modern programming language landscape. Go Developer duties and responsibilities include: Writing scalable, robust, testable, efficient, and easily maintainable code. Translating software requirements into stable, working, high performance software. Playing a key role in architectural and design decisions, building toward an efficient micro services distributed architecture.

julia developmentThe programming language Julia is designed to have it all--the speed of C, the dynamism of Ruby, true macros like Lisp, mathematically powerful like MATLAB, the usability of Python, easy for statistical use like R, and can perform string processing like Perl.

machine learning engineeringMachine learning engineering is the process of using software engineering principles, and analytical and data science knowledge, and combining both of those in order to take an ML model that's created and making it available for use by the product or the consumers.

python developmentA Python Developer is responsible for writing client-side or server-side web application logic. Python web developers usually develop back-end components, connect the application with the other (often third-party) web services, and support the front-end developers by integrating their work with the Python application. Python offers concise and readable code. While complex algorithms and versatile workflows stand behind machine learning and AI, Python's simplicity allows developers to write reliable systems

r developmentR is a programming language used for data analytics and statistical analysis. Learning to build and use these AI applications with R will quickly enable you to develop custom AI apps to deploy within your own organisation: applications for predictive modeling, for deep learning, for extracting mission-critical information from reams of text, and more.