Startup acquisitions in 2015: deep learning, data science and m-payments
Keeping track of these operations is an excellent thermometer to know what, how and why a particular sector is an opportunity for software developers.
Keeping track of these operations is an excellent thermometer to know what, how and why a particular sector is an opportunity for software developers.
Cloud-related services are among the most strategic for technology departments during 2015, and more than half of the companies in the United States are already offering services directly from the cloud.
Sectors such as health, robotics, financial technology and Big Data are experiencing a turn thanks to models that are able to predict the future and learn from their own predictions.
There are continuous movements with the birth and growth of startups in fields such as machine learning, deep learning, visualization and analysis of large volumes of data.
The emergence of Tableau Software has meant a significant novelty for the BI business, mainly because it allows to manage and analyze data without high technical skills.
We look at examples of companies and communities which create new forms of data exchange.
The data are flooding the world at a rate of 40% per year. Here are some predictions and trends for Big Data to 2023.
Within the world of Big Data and the use of APIs for developing software, the area of machine learning and predictive modeling is one of the most innovative trends.
In the Cloud, infrastructure, software, platforms or processes are provided by external IT services
Interview with Víctor Méndez, VP of Engineering at Taiger, an international company with solutions in computational semantics, natural language processing and human-machine interaction.