Machine Learning Model Serving
Tailored data modelling for new business frontiers
What is a Machine Learning Model
Creating a Machine Learning Model is an AI-based process of data definition (also extracted from texts, images, videos), entities and patterns recognition to use in specific business sectors. We can imagine Data Modeling as the next step to Data Governance to create tangible value through the data-driven development of products and services, the forecasting of future trends, consumption, purchases, risks, maintenance and procurement needs. Being data-driven allows organisations to cut costs, increase productivity and revenues by basing business strategies on accurate and easily interpretable information.
However, in order to make a data driven company, it is necessary to first model the data so that it is aligned with business objectives.
Use data to grow your business and improve your operations.
Why start a Data Modeling programme?
Data Modeling through Machine Learning is a very important activity, because it creates the right conditions to proceed to the activation of data and its correct visualisation, such as reports, analysis, forecasts and graphs.
Through a Machine Learning Model you determine what types of data to collect, how to organise them and how to activate them to get the answers you want.
Combining different data (structured and unstructured, internal and external, traditional and alternative) in a data lake is the distinctive skill of the 3rdPlace Data Science team. With smart, transparent and scalable analysis models based on our framework of Artificial Intelligence, we allow organizations to open new business frontiers and quickly obtain competitive advantages, after only three months from the start of projects.
The advantages of Data Modeling
Obtaining strategic information
Ability to make business choices based on precise data
Clarity of information
Significantly reduced time to access information
More effective optimisation of business processes
Case studies
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