Big Data
Business Intelligence and Human Resources: how to use BI in the HR department
The progressive adoption of Business Intelligence (BI) systems allowed companies to implement their decisional processes, by putting corporate data resources into service of analysts and managers. In addition to more traditional BI applications, such as those used in sales, production, or marketing department, it is possible to apply corporate data to the Human Resources area, with the aim of improving
How Artificial Intelligence is transforming Fashion Industry
The so-called ‘’Fourth Industrial Revolution’’, more often referred to as Industry 4.0, is a business model in which new technologies are disrupting production and consumption models, by the hugely increased employment of Artificial Intelligence’s data and algorithms. When the concept of Industry 4.0 was born, roughly ten years ago, it was used in reference to the ‘’smart factory’’, a place
Why Databricks Delta represents the best option for your Data Lake
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,
Dataskills and Databricks: partners for Digital Transformation
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,
Natural Language Processing: a trend for the future of AI
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
5 Steps to boost your company with Artificial Intelligence
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
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
Artificial Intelligence: the Future of Financial Industry
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[1], 84% of the surveyed companies stated that AI implementation in their processes,
3 Steps for a successful Data Strategy
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.
SPARK + AI SUMMIT 2019: Key Annoucements
Spark AI Summit 2019 hosted a vibrant community of users and developers of Machine Learning solutions. Talks were well-differentiated for level of technicality so that every participant could find what he/she was looking for, while during keynotes some of the principal actors within Databricks introduced many exciting news, which are the content of this blog post. Specifically, I will
Purposes of Big Data analysis
Why do you need Big Data Analysis? Big data analysis has many purposes and goals, which can be summarized under three headings: Business: big data provide the ability to pursue new business models or to achieve a significant competitive advantage on the company’s traditional business. Technology: the size and complexity of the data require appropriate technology in order to derive value from
Big Data Features
Describing the 3Vs of Big Data Big data is available in large volumes, it has unstructured formats and heterogeneous features, and are often produced in extreme speed: factors that identify them are therefore primarily Volume, Variety, Velocity. Let’s analyze these three parameters better: Volume Equivalent to the quantity of big data, regardless of whether they have been generated by the users or they
Partnership with Rulex
Polybase in SQL Server 2016 CTP2
One of the new features in SQL Server 2016 is Polybase, the engine that provides access to Hadoop through T-SQL commands.