Continuous delivery is a software engineering practice in which software is built to be released to production at any time. It involves building, testing, and releasing software changes more frequently, so new code can be delivered to users more quickly. Continuous delivery is often achieved through the use of automation, which can handle tasks such […]
AIOps Is Liberating IT Talent
For years, employers have worried about an IT talent shortage, sharpened by the so-called Great Resignation during the COVID years. Now that headlines are dominated by rounds of tech company layoffs, they may think they have the upper hand again. But the truth is that roles for IT skills outside high-profile consumer tech companies are […]
Why Data Analysts End Up Playing Data Detective
Many data analysts are getting a raw deal. For all the optimism around cloud-based systems promising to make Data Management easier, analysts often wind up playing detective – battling through huge information stores on the hunt for useful data, instead of running analysis. For companies, the disillusionment driven by lumbering valuable (and rare) specialists with manual processing […]
How Automation and AI Will Fill IT Labor Gaps
People who have viewed automation and AI with a sense of dread may be beginning to appreciate how it can reduce the boring, repetitive work that is the bane of their lives. In fact, rather than being a threat to human contributions to the enterprise, automation is a powerful enabler of creative, innovative work. An […]
Why Mature Data Governance Is Essential for Data-Driven Diversity, Equity, and Inclusion (DEI)
This is part one of a two-part article. In this section, we discuss how Data Governance can be leveraged to support data-driven diversity, equity, and inclusion (DEI). In the next section, we will look at how to manage DEI data risk. Diversity is recognized as key to increasing performance within organizations. Chief diversity officers face […]
Operations Managers: The Unsung Heroes of MLOps
Operations managers play a critical role in the MLOps life cycle. Without the proper infrastructure, the number of CPU nodes, or security checks, models, and applications built by data science and development teams are more likely to fail – if they even reach the deployment phase. That’s why operations managers should be brought into the […]
Data Strategy Without Data Literacy? Like Boarding the Titanic!
Data literacy is a hot topic with today’s data leaders, and many have put budget aside for data literacy training this year, for a good reason. Data literacy is about improving an organization’s or individual’s ability to make decisions using data. And although training goes some way to support this, it is by no means the silver bullet on its own. A true, all-encompassing data literacy […]
How to Work with Unstructured Data in Python
All our online actions generate data. Even if we don’t write posts, comment, or upload other content, we leave our traces by being silent observers. This leads to predictable results – according to Statista, the amount of data generated globally is expected to surpass 180 zettabytes in 2025. On the one hand, having many resources to make […]
The Realities of Agile Transformation
The topic of agile transformation is emerging, either driven “bottom-up” from product leaders or “top-down” by C-level executives. Being primarily transformation of the business, it is a response to digital strategy, thus connected with a wide range of topics – including Data Governance and Enterprise Architecture. I will summarize the results of such a transformation […]
How Can Project Open Data Improve Data Quality?
Data is a valuable asset to the U.S. government and the public. Making it accessible and usable intensifies democracy in the country. It also promotes effectiveness in the government, as well as efficiency in each branch. Project Open Data is a place where fostering collaboration and promoting improvement in open data policy is intended. This […]