What Is PMML and Why Is It Important?

You may not be an analytics expert and you may find terms like PMML integration somewhat daunting. But, in reality, the concept is not complex, and the value is outstanding. So, what is PMML integration? PMML stands for “predictive model markup language.” It is an interchange format that provides a method by which analytical applications and…

Read More

Forrester’s AI Webinar Series: Navigate The Choppy And Exciting Waters Of Enterprise AI

Navigate the choppy and exciting waters of AI with Forrester’s analysts. Forrester’s multi-episode webinar series on AI delves into the profound impact AI has – and will continue to have – on how data scientists and software engineers approach their work and how other job functions will have to adapt to new AI workflows, processes,…

Read More

The Rise of Augmented Analytics: Combining AI with BI for Enhanced Data Insights

Businesses today are drowning in data. The sheer volume and complexity of information available have made it increasingly difficult for organizations to extract meaningful insights using traditional business intelligence (BI) tools and the expertise of specialized data scientists. This is where augmented analytics comes in. This game-changing technology combines the power of artificial intelligence (AI)…

Read More

The Role of Quantum Computing in Data Science

Quantum computing is on the cusp of turning the data science world upside down, offering a level of processing power we’ve only dreamed of until now.  This new frontier has an incredible potential to reshape the way we approach data analysis, predictive modeling, and solving the kind of complex problems that have always been a tough…

Read More

How to Become a Data Engineer

The work of data engineers is extremely technical. They are responsible for designing and maintaining the architecture of data systems, which incorporates concepts ranging from analytic infrastructures to data warehouses. A data engineer needs to have a solid understanding of commonly used scripting languages and is expected to support the steady evolution of improved Data Quality,…

Read More

Data Governance: Your Key To Unlocking an Insights-Driven Business

Organizations are constantly seeking ways to gain a competitive edge by transforming data into actionable insights through analytics. However, achieving analytical success goes beyond just collecting large volumes of data and building dashboards. The key to turning data into meaningful and actionable insights across the organization lies in a frequently overlooked area – establishing a…

Read More

What Does a Data Scientist Do?

The multifaceted role of a data scientist goes far beyond crunching numbers and analyzing datasets. So, what does a data scientist do? In today’s data-driven world, these professionals are required to possess a diverse range of skills and knowledge to truly excel in their field. While technical expertise in statistics, programming languages, and machine learning…

Read More

Introducing the Data Analytics Fabric Concept

Organizations all over the world – both profit and nonprofit – are looking at leveraging data analytics for improved business performance. Findings from a McKinsey survey indicate that data-driven organizations are 23 times more likely to acquire customers, six times as likely to retain customers, and 19 times more profitable [1]. Research by MIT found that digitally mature firms are 26%…

Read More

Starburst Brings Dataframes Into Trino Platform

Starburst customers who prefer to manipulate data using dataframes as opposed to regular SQL will be happy with a pair of announcements made today. That includes the introduction of PyStarburst, which provides a PySpark-like syntax for transforming data residing in Starburst’s hosted Galaxy environment, as well as support for Ibis, a portable dataframe library developed…

Read More

Finding the Right Data Science Role: 4 Key Criteria

Landing a Data Science role is one thing, but joining an organization where you can truly thrive is quite another. As a Data Science talent strategy leader, I can share my perspective on what I believe solid organizations will have in place to foster an engaged and developing data science community. To anyone navigating today’s Data…

Read More