In a previous article, we presented the Data Lake, a repository for structured and unstructured data, which represents the state-of-the-art architecture for Data Analytics thanks to its flexibility, agility and performance. This kind of solution, despite being the best choice if you need to store data in different formats and to conduct Advanced Analytics such as clustering or classification tasks,
In today’s more dynamic and fast-paced competitive scenario, it is crucial for manufacturing companies to excel in terms of flexibility, resilience and process’ leanness. To achieve these things, it is necessary to implement a system that guarantees the sufficient dynamism to adapt to sudden changes that more and more often are disrupting the supply chains. In this regard, the rise
In the recent years we assisted the rapid growth of Business Intelligence (BI) systems, which are more and more often adopted by companies that want to improve their business in several aspects. BI’s adoption has become one of the most important technological and organizational innovation that a company may pursue to improve its decision-making process and embrace a data-driven philosophy.
We are pleased to announce that Dataskills is now partner with Databricks, global leader in cloud-based Data Analytics solutions. The two companies will collaborate to accelerate Digital Transformation in the Italian business ecosystem. Databricks, a company that successfully developed advanced technologies such as Apache Spark, Delta Lake and MLflow will help Dataskills in delivering Data Analytics solutions to Italian firms,
Today, most industries are characterized by a relatively rapid rate of technology adoption and a fast-changing competitive environment. In this context, data become an essential instrument for decision-makers that want to take the prompt measures that the business requires. In the era of Big Data, companies accumulate a huge amount of information which necessarily need to be processed before being
According to Wikipedia, Natural Language Processing (NLP) is a subfield of linguistics, computer science, and artificial intelligence concerned with the interactions between computers and human language, in particular how to program computers to process and analyze large amounts of “natural language” data. In other words, NLP is a technique used to enable computers to process human language. In the history
Artificial Intelligence (AI) will probably be the great revolution of the next years and it is already affecting many aspects of our daily lives. Think about how you book your holidays, buy things online or invest your savings. It is likely that part of those actions is regulated or executed by Artificial Intelligence, whose algorithms can, for instance, suggest the
The best data infrastructure for your company: Data Warehouse vs. Data Lake As we’ve seen in a previous article, a fundamental step in defining the Data Strategy of your company is the choice of the central data management architecture. This decision is indeed influenced by both the characteristic of the data you want to use for analysis, their
For years now, Machine Learning models and algorithms have been adopted by major financial institutions all over the world and could potentially disrupt the entire financial industry in the near future. According to a recent survey of the MIT Sloan Management Review, conducted on over 2500 firms worldwide, 84% of the surveyed companies stated that AI implementation in their processes,
In chess, the number of legal positions is 10^40, whereas the number of different possible games has been calculated to be approximatively 10^123. These figures are impressive. For this reason, Chess has been known as “the game that embraces the infinite”. To give an idea of the complexity of this ancient board game, we can think that the possible combinations
Nowadays, Data has become a strategic asset that companies could use to enhance their decision-making process and gain a substantial competitive advantage. But just owning data is not sufficient: you have to be able to extract value from it. In order to do that, there are several passages that you must complete that will make you use your data effectively.