Synergizing Data Analysis: Python's Versatility in Databricks Introduction In this article, we’ll describe what DataBricks is and why we may want or need to use it. Then, we’ll show that DataBricks can work, among the others, with … Read more
Data Science
A data scientist has mathematical and statistical knowledge, often combined with a hacker approach to solving problems in innovative ways.
S/he is involved in the design of data modelling processes for which s/he creates algorithms, predictive models, automation systems and data frameworks.
A Data Scientist develops new tools and methods to extract the information an organization needs to solve complex problems and applies critical-thinking skills and business intuition to understand the implications of the data.
Her/his areas of expertise include data governance, automation, and prediction. A Data Scientist is often a Data Engineer, a System Architect or an AI expert. Typically, s/he can work as a Researcher, a Data Analyst and a Data Manager.
Data Analysis Made Easy: Mastering Pandas for Insightful Results
When talking about data analysis, Pandas is surely the most powerful and widely used Python library for data manipulation, cleaning, and preprocessing. Thanks to its features, in fact, we can work with tabular data, retrieving them from SQL … Read more
Getting Started with Data Science: Python vs Julia
When it comes to data science, Python and Julia are two widely used programming languages. But which one is right for you? Well, there are a few factors to keep in mind. For instance, your specific needs and preferences can play a role in determining … Read more
What is Google Earth Engine and Why It’s Key For Sustainability Data Analysis
What is Google Earth Engine? Earth Engine is Google's cloud-based platform for doing planetary-scale analysis and visualization of Earth Data. It allows its users to access large amounts of geospatial data, such as satellite imagery, while at the … Read more
Working with Date Intervals in Data Warehouses and Data Lakes
Working as Data Engineer makes you work with dates and time data a lot. Especially in the recent period where companies want to be Data-Driven, the software is Event-driven, your coffee machine is data-driven, and AI and ML require tons of data to … Read more
Four Things I’ve Learned After Three Years as a Data Scientist
Most data scientist job descriptions require that the candidate has at least three years of experience. After graduating, I wondered what the difference was between me, a guy with hardly any hands-on industry experience. Now, I finally … Read more
How Data Observability Can Boost IT Performance in the Banking Sector
Many industries have found themselves having to move quickly to keep up with changing technologies, and the world of fintech has felt this change more than most. Few consumer services command the desire for security that financial institutions such … Read more
Ruby on Rails in 2022? A Data Processing and Visualization Case Study
This article, developed together with Mònade, shares insight about data science and dives deep into the usage of Ruby on Rails for data visualization and processing through a practical example: Adalytics. Data is everywhere, from the billions of … Read more
6 Mind-Bending Trends in Data Science
Do you remember all those headlines declaring “Data Scientist” as the hottest job of the century? Well, that was a decade ago. So, what has happened since then? Let's take a look at some of the latest data science trends. Google is running a … Read more
Call for Code: A Challenge at Global Level
The global impact of climate change and the need for drastic action become clearer every day. The far-reaching and devastating effects of climate change are in front of everybody’s eyes. The most pressing global issues of our time can be addressed by … Read more
IBM Think Summit 2021 – Code@Think: Digital Transformation for Coders and Managers
Think Summit Italy 2021 What has happened in technology over the last twelve months? How will the digital transformation process that is ongoing everywhere in the world affect your skills and work? Here comes the 2021 edition of Think Summit … Read more
Becoming a Data Scientist: Best Practices for Data Warehouse Implementation with Microsoft SQL Server
At present, companies and organizations from different industries generate massive volumes of data. For any of them, the data storage and deep analysis is a key component of creating a competitive and profitable model of further … Read more
Bring More AI/ML Projects to Production by Increasing Access to Primary Data
Building a machine learning model is simple: you collect data, split them into datasets, feed the model with data from an open-source framework, refine the model, retest it, and hey presto!, magic in the making - right? Well, if that’s your … Read more
Responsible Production and Green Consumption: How to Find a Sustainable Path forward and Avoid Waste
Current approaches to water, food, and production need to be reverse-engineered worldwide to achieve real sustainability for the global population. ICT technology provides the foundation on which to build disruptive solutions that will change the … Read more
Watson Studio: IBM Extends Open Source to the Production Phase to All Stakeholders
Is Open Source ideal for AI use in business? By the time you leave university, you will already be using many tools and platforms from the open-source environment. Open Source offers an infinite number of tools, essentially free of cost. … Read more
Help the Earth: win the 2021 IBM Call for Code Global Challenge!
Planet Earth is a prodigious environment, full of mysterious forces, but the human race has seriously damaged it in the last 50 years. The Earth could probably heal itself, but in the process, the planet's ability to support today’s human … Read more
5 Tips to Foster Productive Collaboration With Data Analysts
Nowadays, we are all fully aware that data analysis is an excellent tool for digital companies. Thanks to the rapid increase of data storage, computing power, and machine learning that creates complex algorithms, businesses can gain a deeper … Read more
How Synthetic Data Is Elevating the Future of AI
During the past decade, the rapid increase of computing and processing power has elevated artificial intelligence (AI) and machine learning (ML) to an all-time high. The constant improvement of this technology has taken the digital world by storm, … Read more
IBM Think Digital 2020: Quantum Computing is a Game Changer for Enterprise
IBM recently hosted Think Digital 2020, a series of fascinating talks, presentations, and interviews all facilitated remotely during the COVID-19 stay at home order. The two-day event was an opportunity to discuss the state of business and the … Read more
6 Data Science Careers That are Shaping the Future
The data science sector is responsible for some of the most in-demand jobs of 2020. It encompasses a range of interwoven roles and skillsets in that there is no agreed-upon definition of a data scientist or data analyst. Thus, individual job … Read more