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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, ...

Iot Pred Ma Scaled

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 ...

Bi Efficace

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. ...

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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 ...

Pexels Fernando Arcos 211151 Scaled

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 ...

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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 ...

Pexels Alex Knight 2599244 Scaled

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 ...

Pexels Panumas Nikhomkhai 1148820 Scaled

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 ...

Toronto Stunning Sunset 1 Scaled

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

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 ...

Business Owners Flatlay Scaled

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 San Francisco Data Skills

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 ...

Perche Analizzare I Big Data

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 Settore Finanza

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 ...

Vantaggi Business Intelligence

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 ...

Corso Big Data Analytics Scaled

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 ...

Le 3 V Dei Big Data

Big Data Features

Sommario Describing the 3Vs of Big DataVolumeVarietyVelocity Describing the 3Vs of Big Data Big data is available in large volumes, it has unstructured formats and heterogeneous features, and ...

Bi Methodology

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 ...

Dalla Predictive Analytics Alla Prescriptive Analytics 00

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 ...

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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. ...

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New modules in Azure Machine Learning

Some new modules have recently been introduced in Azure Machine Learning, thus extending its features. ...

Tecniche Di Clustering

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. ...

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