Overcoming tech debt on the path to modernization

Companies that want to take advantage of cloud technologies are often flummoxed by the technical debt they’ve accumulated. They need to modernize their application stacks to respond quickly to competitive disruption, changing industry regulations, and new business opportunities. But the economic and technical challenges of modernizing legacy apps can seem daunting. A group of IT…

To Keep Your Data Active, Keep It Moving

The reasons an enterprise needs to move its data are varied. Organizations may need to consolidate mass data into a single repository for big-picture analysis and to improve the availability, security, and accessibility of their data. Enterprises often deploy a disaster recovery plan to enable business continuity in the event of primary data failure with…

The CIO’s no-bull guide to effective IT

The best leaders don’t get things done. They build organizations that get things done. That has been the impetus behind my recent series of “Building effective IT 101” articles: To help outline what it takes to build a 21st century, digital-ready, effective IT organization. But if you’re looking for a high-gloss overview of the foundations…

10 fastest growing US tech hubs for IT talent

Tech salaries are on the rise thanks to a demand for talent across nearly every industry. Salaries increased 6.9% between 2020 and 2021, reaching an average tech salary of $104,566 per year, according to the 2022 Dice Tech Salary Report. Salaries vary by location, with the technologists reporting the highest average salaries of $133,204 per…

CIOs make the leap to business leadership

In his time with the Worcester Red Sox, baseball IT exec Matthew Levin grew to be a valuable two-way player. As senior vice president and chief financial and technology officer, Levin wore two hats for the Triple-A affiliate of the Boston Red Sox, balancing a joint role that married his deep passions for technology, finance,…

Microsoft Azure Data Scientist Associate certification guide

Data scientists discover insights from structured and unstructured data to help organizations improve revenue, reduce costs, increase business agility, improve customer experiences, and develop new products. Data scientist teams typically seek to identify key data assets that can be turned into data pipelines that feed maintainable tools and solutions, from credit card fraud monitoring solutions…