Cars that are self-driving, software that writes journalistic texts, refrigerators that tell the supermarket that a product has run out, authorizing the purchase of new units. It has always been irresistible to sound futuristic when talking about Artificial Intelligence (AI). The difference is that it was never as real as it is now. These and other examples are already in place and the trend is for more and more – including in the corporate environment.

 

Top of mind in innovation, Google announced last year that it will offer US$ 25 million to encourage AI projects to address “some of the world’s major social, humanitarian and environmental issues.” Data H is a startup based in Ribeirão Preto (State of São Paulo) and associated with CCBC. In expansion to Canada, it aims to make AI more accessible to organizations, enabling production costs to be reduced and new businesses encouraged.

 

“One of our goals is to ensure the autonomous management of a company by 2020. We are building a system that will allow the company to self-manage”, says CEO Evandro Barros, who is perfecting one of his products, Mentor+ (see table at the end of the text).

 

Evandro is spending some time in Spark Center, a hub for innovation in Canada – a country considered the world capital of artificial intelligence. Data H has been invited to perform on Canadian soil after attending a local acceleration process last year. “We will soon hire people for the branch office we will open in Toronto”, says the CEO, who has obtained the startup visa and has already given lectures at CCBC events.

 

Artificial Intelligence applied in your business

 

One of Data H’s strategies to facilitate companies’ access to these new technologies is to maintain in its portfolio products that contain some of AI’s key problem-solving skills, such as computer vision, natural language processing, mining, data extraction and mining.

 

According to each customer’s demand, Data H’s products can then be customized. “If you start from scratch, the cost is very high. In our case, we start from a pre-molded foundation to meet what the company needs”, explains Evandro.

 

As AI is developed in the database, in many cases provided by human intelligence, failure to gather information can make it expensive and even postpone a business modernization project.

 

Evandro cites the example of an educational institution where the secretary used to mark the “changed city” option as a reason for all students canceling their enrollment. “Sometimes a company needs to get organized before starting a project. This is what we call pre-intelligence”, says the CEO of Data H, who also assists the customer in this phase.

 

Get to know Data H’s products for industries such as health, education, mining, cybersecurity, mobility, among others:

Mentor+	Focuses on numbers and finance. Facilitates corporate management by evaluating countless variables, streamlining decision making. Sets up an automated dashboard, creates cash flow view, risk, projection and control. It compares numbers, seeks seasonality and makes predictions, accompanied by various analyzes. Through natural language processing, the user checks the system by voice.
Mr Turing	Focuses on text. Very useful for students, also in consulting companies manuals and archives. A sort of corporate Siri, in which the user inserts information from hundreds or thousands of pages, in formats such as PDF and Word. After this “training”, the system organizes and separates the data, being able to answer people’s doubts by voice.
Noleak	Selected by Singularity University as a global impact project. Performs continuous authentication. That is, without asking for a password or making use of tolkien, it confirms the user’s identity through the way they type or use the mouse. A test was conducted with 500 people in the latest edition of Campus Party. The result: no one could fool the system. “We are starting a project aimed at transport companies, where artificial intelligence recognizes the way each truck driver drives. The software can issue an accident alert, dangerous driving and even risk of cargo theft” says Evandro.
Synkar	Useful in the autonomous vehicles industry, autonomous deliveries, industrial plants and even rescue in extremely damaged places. Without using 3D satellite mapping capabilities, the vehicle arrives in the given area, looks and guides independently. Much used by mining companies, which operate on land without demarcations that suffer daily changes in their paths.