In the world of IT not so very long ago, there was a significant shift that transformed the way we manage and deploy applications. Virtualization, a technology that made traditional infrastructure more efficient, gained immense popularity among Microsoft SQL Server professionals. However, the IT industry is constantly evolving, and now containerization has emerged as the latest […]
A Field Guide for Launching and Growing a Career in Data Science
In recent years, the demand for data scientists has skyrocketed as organizations recognize the value of data-driven insights. Despite increased on-ramps and educational paths to a career in Data Science, there continues to be a concern amidst this increasing demand: the underrepresentation of women in Data Science and other science, technology, engineering, and mathematics (STEM) […]
Leveraging Data Pipelines to Meet the Needs of the Business: Why the Speed of Data Matters
Gone are the days when customers would place an order and patiently wait for hours or even days for goods to be delivered, or when letters would travel through snail mail to reach their recipients. Today, businesses and individuals expect instant access to information and swift delivery of services. The same expectation applies to data, […]
Logical Data Management for Environmental, Social, and Governance (ESG) Initiatives
Driven in large part by a growing awareness of the effects of unchecked carbon emissions, environmental, social, and governance (ESG) initiatives have been gaining momentum across companies in Europe and, more recently, the U.S. Some verticals, notably financial services, are beginning to tie ESG information directly to investment decisions, while all companies are realizing that […]
When to Use AutoML vs. Manual ML: A Full Guide
Automated machine learning (AutoML) is a set of tools and techniques that automate the design, training, and deployment of machine learning models. AutoML has become essential due to the amount of data involved when creating ML models, helping to save a significant amount of time, human resources, and money. Although manual machine learning is not obsolete, automating […]
3 Reasons Manufacturers Must Get Data Governance Right in 2023
In the manufacturing space, digital transformation has made data the oil in many machines – and much like oil, it needs refinement and enrichment. This can be carried out via Data Governance. Good Data Governance translates to smarter, quicker, data-driven decisions, as well as more efficient resource management, reduced security risks, greater trust from customers […]
Unlock the Power of Data with Unified Data Controls
Artificial intelligence (AI) could boost company productivity by 1.5%, increasing S&P 500 profits by 30% over the next 10 years. The rapid success of generative AI technologies such as ChatGPT is an excellent example of how companies can shape their fortunes by harnessing the power of the data they hold. The insights from data enable businesses across […]
A Picture Is Worth 1,000 Words: The Importance of Data Visualization
Have you ever heard the saying, “A picture is worth 1,000 words”? This statement holds especially true in the field of Data Science. Let’s say you are a data scientist at a top Fortune company, dealing with budget portfolio optimizations worth millions of dollars annually for various clients. It is essential to effectively communicate your […]
Testing and Monitoring Data Pipelines: Part Two
In part one of this article, we discussed how data testing can specifically test a data object (e.g., table, column, metadata) at one particular point in the data pipeline. While this technique is practical for in-database verifications – as tests are embedded directly in their data modeling efforts – it is tedious and time-consuming when end-to-end data […]
Data Bias in AI – Can We Beat Evolution Using Technology?
Is there data bias in your business? Recent research indicates that 65% of business and IT executives believe there is currently data bias in their organization, 13% of businesses are currently addressing data bias, and 78% believe data bias will become a bigger concern as AI/ML use increases. What this indicates is that businesses and organizations simultaneously worry […]