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 ...
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 ...
How to develop a Data-driven corporate culture
In the last few years, many companies have already adopted or have begun to approach various Analytics solutions, which allows to gain insights for operational, strategic, and tactical decisions, ...
How IoT Technologies can implement the store of the future
Internet of Things, also known as IoT, is a term used to describe a set of smart devices and sensors that can communicate, through a connection to a network, data, or smart signals concerning a wide ...
Predictive Analytics: 6 steps for a successful implementation
In the last few years, we have seen the rapid surge of Analytics instruments, adopted by companies worldwide for extracting value from data to boost sales and net profits. In this context, a ...
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, ...
Machine Learning for Predictive Maintenance: examples from Industry 4.0
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 ...
How to implement an effective Business Intelligence
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. ...
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 ...
Enhance Data Quality through Machine Learning
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 ...
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 ...
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 ...
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 ...
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 ...
Chess and Artificial Intelligence: A Love Story
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 ...
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 ...
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 ...
Data Mining Methodology
We adopt an Aglie methodology for the carrying out of data mining projects based on the CRISP-DM model. CRISP-DM, which stands for “Cross Industry Standard Process for Data Mining” is a ...
Business Intelligence for Banking and Financial Sectors
Business Intelligence is fundamental for banking and financial sectors. The banking industry is becoming ever-more competitive, and subject to new regulations. Moreover, there are new and growing ...
The advantages of Business Intelligence
The main advantage of Business Intelligence resides in an improvement of business performance. The following table shows the benefits that come from a BI system, connecting them to their final goal ...
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 ...
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 ...
Business Intelligence Methodology
The methodology that we use in the implementation of Business Intelligence projects is based on an agile approach that can minimize the costs and “time to market”. The cornerstones of ...
From predictive analytics to prescriptive analytics
In the article “From business intelligence to predictive analytics systems” we talked of the evolution of the data analysis processes, describing an evolutionary path that led from ...
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. ...
New modules in Azure Machine Learning
Some new modules have recently been introduced in Azure Machine Learning, thus extending its features. ...
Clustering Techniques
Clustering is a set of methods to group objects into homogeneous classes. A cluster is a set of objects that have similarities among them and that have dissimilarities with objects in other clusters. ...
Are you looking for more?
Dataskills operates comprehensively in the field of Data Science, helping you extract value from your data
Comments are closed.