ARTIFICIAL INTELLIGENCE
Do You really know your Customer?
In order to gain a competitive advantage, companies need more than analysing historical data, business performance and customer behaviour. Competitive firms are “predictive”, agile and proactive in action and decision-making.
Competitive companies know that their advantage comes from how they can transform information into knowledge through the use of Advanced Analytical techniques, like Machine Learning or Deep Learning.
In this way, they are able to detect patterns and trends, anticipate events and anomalies, detect changes in customer behaviour, a knowledge that allows them to take action leading to expected business results. This situation is Key change to many areas in the organisation such as marketing, sales, operations, financial and risk management.
The application of advanced analytical techniques for large amounts of data and often include varied data types and data streaming, we call Big Data Analytics.
Global artificial intelligence software revenue is forecast to reach $62.5 billion in 2022, an increase of 21.3% from 2021, according to Gartner.
BECOME AN AI-DRIVEN ENTERPRISE
Industries worldwide like, Banking, Insurance, Healthcare, Fintech, Manufacturing, Retail, Telco, Public Sector, Sports analytics, are already using AI to augment their competitive advantage.
There is no doubt about the impact of predictive modelling in any company nowadays.
The question is, can we bring a sustainable, cost-effective, and inclusive predictive modelling strategy within the organisation?
YES! Automated machine learning is the answer to that question.
Automated machine learning leverage the power of machine learning, providing a platform for users of all skill levels to produce accurate predictions in a fraction of the time required by conventional tools and methods.
We partner with DataRobot to give You the AI-Driven Enterprise.
DataRobot automates the machine learning process from data to deployment, democratising machine learning and data science for all.
Paula de Oliveira, CEO