Facing the new world of Intelligent Enterprises, Intelligent Applications and Intelligent Technologies can be a difficult proposition.
At Techedge, we want to help your organization harness the power of Artificial Intelligence. From your core business processes to your extended value chain, we can help you adopt AI and achieve true data-driven business innovation.
We focus three main levels of engagement to help you innovate faster, smarter:
ACCELERATE YOUR ARTIFICIAL INTELLIGENCE APPLICATIONS
Artificial Intelligence (AI) comprises a wide range of techniques that seek to emulate in computers the human capabilities we call intelligence.
It is widely defined to include any human emulating intelligence. It includes:
One of the most promising areas of AI is Machine Learning. It allows computer systems to predict, classify, sort, make decisions and generally extract knowledge from data without the need for the rules to perform those tasks to be explicitly defined.
A very powerful subset of Machine Learning is Deep Learning in which there are several layers of components that extract "abstract" characteristics from the data and build representations from it during training without external guidance.
This approach allows us to find features in our data that are not obvious or could escape us with other methods.
Through artificial intelligence, we find new relationships and dependencies that represent oppportunities to improve our businses.
AI allows us to add steps into processes that normally are not considered due to complexity or excessive cost: sentiment analysis or impact in social networks, anomaly detection, power consumption optimization, logistics optimization.
We are currently mastering Narrow AI capabilities: Solving specific, well-defined problems using specialized architectures with some generalization capabilities.
Using Deep Learning, your data tells a story that can be read with significantly higher detail than before, providing insights and information about the core components of your business.
Traditional Analytics (BI) has helped make decisions in your business, but with AI and Big Data you will be able to make the best decisions, differentiating yourselves from your competitors.
AI DISCOVERY WORKSHOP
We offer our customers a rapid discovery path to start applying Artificial Intelligence to their business processes. This service is based on our experience in detecting use cases and conducting proofs of concept and executing projects in applied Artificial Intelligence.
During a two day workshop we introduce AI technologies, discuss AI practical applications with real world examples.
AI EMPOWERMENT
We want to give our customers the chance to prepare their teams for the Artificial Intelligence revolution. From executives to data users to developers, we can help you get up to speed in the AI world.
The format of the service is based in a workshop session of two days duration lead by one of our experts. In these sessions we detail real Artificial Intelligence applications and help our customers approach AI projects.
AI EXECUTION
The aim of this service is to find a Minimum Viable Model (MVM) showing that there is a Machine Learning solution to the use cases detected in an AI Discovery session or by the customer.
The PoC is conducted using Agile methodology through an iterative process that is focused on finding the best model for the data.
The engagement needs usually around 6 to 8 weeks to find a MVM and will ideally be followed by a full implementation project to take the solution to production.
Sourcing ideas for launching a new AI based strategy? Discover Artificial Intelligence use cases by industry:
This is one of the sectors that manage a greater volume of confidential data and therefore is subject to greater scrutiny by regulatory bodies, which translates into problems with data governance and security.
By means of AI, it is possible to detect and manage the increase of fraud and financial crimes, develop competitive prices, manage risk and compliance, as well as make strategic business decisions, but they are also taking advantage to develop new and customized products and services through a better segmentation and analysis of the clients.
In this sector the heterogeneity and volume of the data collected by all types of sensors is relevant, which has an impact on the use of Big Data architectures.
In addition, with the great data integration needs, both the opportunities that allow the analysis and interpretation of the big data and the benefits derived from IoT are combined.
3.4% are the growth forecasts in this sector for 2035 motivated by the application of AI.
These are sectors in which the great variety and volume requires Big Data infrastructures, while the AI has been fully involved in automatic diagnostics, predictive analysis, identification of diseases, research, pattern detection.
Artificial Intelligence, Robotics, Big Data or Blockchain should help develop and accelerate the innovative process of companies in the pharmaceutical sector in terms of R&D, since it has the potential to improve the accuracy, precision and timelines of the patient diagnoses.
All this provides a wide range of possibilities to apply AI in this sector.
Artificial Intelligence could improve the customer experience by helping to facilitate personalized prices during the booking process or use AI techniques for voice and face recognition upon arrival at the establishment or even provide a 24x7 specialized service.
Artificial intelligence is dominating the gaming sector, from board games to interactive fiction games. They are providing complex environments for decision making with which AI can experiment. The ability of games to provide interesting and complex problems, offering creativity and expression, has made them one of the most popular and significant domains for AI researchers, and every day there is more proliferation of game as a service.
On the other hand, the volume of data generated (> 50TB / day) has been multiplied, in games, games, users, interactions, graphic quality, ... and also the variety of data with sounds, images, text, this has clearly marked a movement towards Big Data platforms.
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