Artificial intelligence

The future of business

From niche technology to mainstream

Some companies will develop new and innovative services based on AI, but the vast majority will use it to address challenges related to operational excellence, customer experience innovation, and core process automation.

The aim of AI is to complement the work done by humans, not by competing with them, but by combining the workforce and their capacity for learning, research and development with AI.

AI implementation: the difference between commercial success and failure

So the artificial intelligence revolution can increase the profits of some companies and cause others to disappear in a wide range of sectors. In many cases the difference between commercial success and failure can be the efficiency and speed of implementation.

Value Proposition

AI allows data to be used to find patterns and predict them. AI is becoming increasingly skilled in recognising images and processing natural language, they can predict which method is best to contact a customer depending on the reason, time and customer … They can predict which is the most appropriate price for each product at a certain time, they can predict which customers may be likely to stop using the company.
Come and take a look at our Value Proposition…
Dive into our journey!

Value Proposition

AI allows data to be used to find patterns and predict them. AI is becoming increasingly skilled in recognising images and processing natural language, they can predict which method is best to contact a customer depending on the reason, time and customer … They can predict which is the most appropriate price for each product at a certain time, they can predict which customers may be likely to stop using the company.
Come and take a look at our Value Proposition…
Dive into our journey!
Artificial intelligence

Consultancy and Assessment

  • Current situation analysis
  • Maturity assessment
  • Data Science/AI Adoption Roadmap
IA CONSULTORIA | UST GLOBAL
Artificial intelligence

Consultancy and Assessment

  • Current situation analysis
  • Maturity assessment
  • Data Science/AI Adoption Roadmap
IA CONSULTORIA | UST GLOBAL
IA IMPLANTACION | UST GLOBAL
Artificial intelligence

Implementation

  • Design of the most suitable architectures
  • Data governance assessment and strategy
  • Awareness of Data Science/AI trends
Artificial intelligence

Implementation

  • Design of the most suitable architectures
  • Data governance assessment and strategy
  • Awareness of Data Science/AI trends
IA IMPLANTACION | UST GLOBAL
Artificial intelligence

Services

  • Real-time decisions
  • Game AI
  •  Robot navigation
  • Recommended systems
  • Process optimisation
  • New insights
  • Predictions
  • Current and future diagnostics
  • Fraud detection
  • Feature selection
  • Big Data visualisation
  • Learning tasks
  • Data Pricing
  • Customer retention improvements
IA SERVICIOS | UST GLOBAL
Artificial intelligence

Services

  • Real-time decisions
  • Game AI
  •  Robot navigation
  • Recommended systems
  • Process optimisation
  • New insights
  • Predictions
  • Current and future diagnostics
  • Fraud detection
  • Feature selection
  • Big Data visualisation
  • Learning tasks
  • Data Pricing
  • Customer retention improvements
IA SERVICIOS | UST GLOBAL
TECHNOLOGY VALUE

Insight & Trends

IA PICTO 1 | UST GLOBAL
Explainable AI

2023 > more than 75% of large organisations will use AI to reduce brand and reputation risk.

IA | UST GLOBAL
Augmented Analytics

The ability to understand and interact with data organically is enhanced, as well as the ability to observe valuable or unusual trends.

BIG DATA PICTO 2 | UST GLOBAL
Continuous Intelligence

2022 > more than 50% of major business systems will incorporate continuous intelligence, which uses real-time context data to improve decisions

IA PICTO 3 | UST GLOBAL
DATA FABRIC

Having infrastructures that enable a single piece of data covering the entire business management framework, without access or processing problems.

Artificial intelligence

Technological Ecosystem

  • Amazon Partner | UST GLOBAL
  • BIG-ML
  • denodo Partner | UST GLOBAL
  • elastic Partner | UST GLOBAL
  • google analytics Partner | UST GLOBAL
  • big_data_hive
  • hadoop Partner | UST GLOBAL
  • IBM WATSON Partner | UST GLOBAL
  • informatica Partner | UST GLOBAL
  • big_data_jupyter2
  • big_data_kafka
  • microsoft azure Partner | UST GLOBAL
  • Snow flake Partner | UST GLOBAL
  • stratio Partner | UST GLOBAL
  • talend Partner | UST GLOBAL
  • tibco Partner | UST GLOBAL
Artificial intelligence

Technological Ecosystem

  • Amazon Partner | UST GLOBAL
  • BIG ML Partner | UST GLOBAL
  • denodo Partner | UST GLOBAL
  • elastic Partner | UST GLOBAL
  • google analytics Partner | UST GLOBAL
  • big_data_hive
  • hadoop Partner | UST GLOBAL
  • IBM WATSON Partner | UST GLOBAL
  • informatica Partner | UST GLOBAL
  • jupyter Partner | UST GLOBAL
  • kafka Partner | UST GLOBAL
  • microsoft azure Partner | UST GLOBAL
  • Snow flake Partner | UST GLOBAL
  • stratio Partner | UST GLOBAL
  • talend Partner | UST GLOBAL
  • tibco Partner | UST GLOBAL
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