Modern companies produce gigantic amounts of data. Later it becomes a part of their machine learning datasets. Those are further used to build models that aim to solve various problems business may face, and make it more profitable, customer-oriented and, of course, data-driven. Machine Learning depends heavily on data, that makes algorithm training possible. Regardless…
Digital transformation definition Digital transformation has been a big topic for a few years now, and it has many definitions. From a business perspective, digital transformation is about leveraging digital technologies to improve processes, competencies, and business models. It is also about changing the culture of the company because it requires letting go of old…
Investigating company data for insights is a well known and widely adopted practice. However, using predictive analytics and machine learning is the next frontier in data analysis. The ability to predict future outcomes is what sets predictive analytics apart from other analytics used today, such as descriptive analytics, which gives answer to the question “what…
Machine Learning Canvas is a template for designing and documenting machine learning systems. It has an advantage over a simple text document because the canvas addresses the key components of a machine learning system with simple blocks that are arranged based on their relevance to each other. This tool has become popular because it simplifies the visualization of a complex project and helps to start a structured conversation about it.
The GDPR, or General Data Privacy Regulation, is coming into force already in May this year. The regulation requires businesses to protect the personal data and privacy of EU residents. And non-compliance could cost companies dearly. GDPR pertains to the full data life cycle, including the gathering, storage, usage, and retention of data. GDPR applies…
It is true that data boom continues and the digital economy of 2018 is driven by data and the challenge of turning it into facts, insights, and trends. Data is the critical resource of our age, that is why today’s data strategy encompasses far more than how to store it. The most important functions of…
Making a choice of a data science vendor can be a make-or-break decision for your company so here are some points to consider when developing a solid strategy for vendor selection in the data science technology space.
Artificial Intelligence as an industry matures. Many of the problems that impeded adoption of this technology in the past are disappearing and AI reveals its potential to change how we live, move, and work. So let’s have a look at the key AI trends that will shape our future.
Many companies are collecting and managing the data with little to no forethought. And just as planning is key to any strategic business project, forethought is utterly important when dealing with data. Here are the key points to remember when starting a data science project. Identify the right questions about your data In most cases,…
Businesses nowadays accumulate tons of data, whether it is information collected through 3rd party tools like Google Analytics, or the data that is being stored within a site’s backend, like a MySQL database. What many of these companies don’t realize is the importance of data. In today’s world, data is a valuable business asset and…