Deep Intelligence can be a support tool for any kind of business: Data is everywhere. No matter what your business is, Deep Intelligence will be a profit for it. Deep Intelligence covers the full cycle Every business sector can benefit from deep intelligence
FinTech is present in our lives already. Deep Intelligence goes one step further by applying specialized algorithms and techniques to optimize the performance of almost any financial and insurance product.
The main goal is to increase and maintain the profitability for everyone. This may be reached through different approaches that Deep Intelligence is able to implement.
In a first phase it is necessary to analyse different aspects of the business:
- Direct benefits: which products are the most / least hired and its profitability, based on absolute data, customer profiles, sociodemographic characteristics, etc.
- Indirect benefits: which additional products does an existing customer contract
- Exhaustive market research on other companies and products
- Profitability of advertising and marketing campaigns
- Business figures: most contracted products based on several factors
- Claims management
- Satisfaction degree of customer services
- Behaviour of the client after attention
These results will help to create different product and customer profiles. Again, Data Cross will be a key factor to extract the most valuable information for your business and give way to next phase. That is, the assessment and prediction of the best business decisions:
- Which products must be offered and to whom
- How to offer and promote them in the most efficient way
- Optimization of products features & prices
- How to differentiate from competitors
- Which product will fit best to every potential end-client
- Prediction patterns based on life expectancy and mortality
- Fraud detection
- Cost reductions in all areas
- Banks & Investment Funds
- Financial Companies
- Insurance companies
- Supervisors and Brokers of Stock Markets
When Industry 4.0 is mentioned, pictures of large companies and huge assembly lines come to our mind. But Machine Learning advanced algorithms implemented by Deep Intelligence may be focused on businesses of any size and level of complexity.
In an industrial process, there are several key factors to consider:
- Time spent in each stage / piece
- Production costs
- Synchronization / waiting times between stages
- Stock and Order Management
Deep Intelligence will help to reach the main goals of a modern industry:
- Reduction of production costs and times
- Implementation of JIT and Lean Manufacturing philosophies
- Intelligent Stock
- Chain Production Industries (Renault,...)
- Logistic Warehouses (Amazon,...) (Combine with USB Neuronal)
- Transportation companies: tracking of packages, vehicles,...
- General businesses
Deep Intelligence technology is a great help for a wide range of applications related with Healthcare:
- Diagnosis and Prediction of pathologies based on Blood & Urine Analysis
- Diagnosis and Prediction of pathologies based on Medical Imaging techniques (CAT, MRI, PET…)
- Genetic Analysis & Next-Gen Sequencing (NGS)
- Optimization of Medical and Psychological Tests
- Clinical Trials of New Medicines
- Studies of Epidemiology
Machine Learning enhanced algorithms not only adapt easily to each specific area, but also allow to implement and share a full-cycle general process, by means of:
- Creation of detailed Profiles (Patients, Diseases), based on different parameters: Sociodemographic characteristics, Time of the Year, Medical History, Life Habits, Test Results and many more.
- Data Cross between Profiles and any other kind of information
- Detailed Analysis of the Temporal Evolution of the Patient
Crossing data from multiple sources, as implemented by Deep Intelligence, allows the discovery of new relationships between heterogeneous characteristics, thus helping save lives and improve our quality life.
Another key application of Deep Intelligence is NGS (Next-Gen Sequencing), where Machine Learning plays a decisive role to better extracting and analysing Genetic Data. It also makes possible to implement an optimal diagnose and a reliable capacity to predict genetic diseases.
- Analytical Laboratories
- Health Companies
- Medical Device Manufacturers
- Research Organizations and Private
The design of Smart Cities brings together the use of multiple devices and the need to handle huge amounts of data. Best decisions must be made to improve the operation of a town and increase the life quality of its citizens.
Several scopes may be covered by Deep Intelligence capabilities:
- Energy Sustainability: creation of Consumer & Consumption profiles and predictors
- Pollution Reduction: Contamination Maps, Collection and Recharging points for alternative vehicles,
- Location of Parks & Gardens, Optimisation of traffic lights...
- Optimisation of Trash Collection Routes and Schedules
- Public Transportation Management (bus, subway, commuter train)
- Telecommunications Management
- Complaints and Citizen Attention
- Town and City Councils
- Public Transport Companies
- Water / Electricity Management Companies
- Telco Companies
- Public Entities
- Device Manufacturers
Every business can take profit of Deep Intelligence capabilities. Just think about a business and all the data around, and a pleiad of applications will come to your mind.
INTERNET OF THINGS
The arrival of 5G technology is the definitive impulse for the development of the IoT. Deep Intelligence will help to fulfil essential requirements for its effective implementation. Machine Learning has the capability to reduce Latency times and Error Rates, and cross huge amounts of data with almost any kind of information: device types, geographical regions, communication protocols and networks, etc.
- Domotic Companies
- Telco Companies
- Public Entities
- Manufacturers of Devices and Sensors
A good public image is already a necessity for people, companies and politicians. The proliferation of fake news has highlighted the importance of having a good communication strategy and analyzing and controlling both what we say and what they say about us.
Deep Intelligence will provide the tools to guarantee a high Social Relevance and Reputation, an efficient search for Targets and potential Influencers and to optimize Advertising Campaigns.
- Any Brand or Company
- Any Citizen, Politician, Brand or Company
- Advertising Agencies
- Marketing and SEO Agencies
Machine Learning is already playing a relevant role in ensuring security in all areas of our lives, by creating patterns of Crimes based on geographical zones, times of the year or even weather conditions; detecting terrorist threats in Social Networks; optimizing the location of Security Cameras in your town; etc.
- Security Forces & Police Corps
- Intelligence Agencies
- City Councils& Public Entities
Improving Life Quality of every citizen must be an absolute priority for any public entity. At a local level, many public services may take advantage of Deep Intelligence capabilities for that purpose.
Main goals in this scope is the optimization of cleaning routes, garbage collection points and schedule, police routes, etc.
- City Councils
- Public Entities
SOCIOLOGY & INVESTIGATION
Deep Intelligence provides very powerful tools applicable to the field of sociological and research studies. Improving validity and reliability of Surveys and allowing a better selection of samples (subjects) for tests, will increase the results reliability and, therefore, the reputation and profitability of the companies in the sector.
- Survey Companies
- Research Organizations
- Private Investigators
Advanced statistics are a reality in sports market. As an example, Houston Rockets NBA team already takes use of them to increase their play performance. Adding Machine Learning features will boost the performance of athletes and optimize Training methods and Nutrition guidelines. It will even help in the creation of the most efficient play systems and in the selection of the best signings for teams.
- Teams and Sports organizations
- Trainers & Coaches