Infinitive Live: Manage Risk Through Controls Automation Recap
To really understand control automation, we need to first define what we mean by a control. In the context of Information Technology Governance, Risk Management, and Compliance (IT GRC), a control refers to a specific measure or mechanism put in place to manage or mitigate a specific risk. A control also simultaneously ensures compliance with […]
Higher Education Cloud Computing Strategy with AWS
In our recent blog, “Why Colleges and Universities Should Move to the Public Cloud,” we cover the headwinds of the higher education landscape. Declining enrollment, uncertain economic conditions, and increasing tuition are forcing higher education institutions to adapt and plan with more tact and discipline than ever before. We know universities are debating and, in […]
Why Colleges and Universities Should Move to the Public Cloud
Higher education in the United States and Canada is at a crossroads. Fast rising tuitions, declining enrollment, and an uncertain economy are pressuring colleges and universities to revamp their operations. Institutions of higher learning are responding, in large measure, by improving the efficiency of all aspects of their business. Moving IT operations to the public […]
Manage Your Risk Through Controls Automation
The high cost and time spent on sustaining controls is one of the key challenges with compliance efforts. Many IT leaders find their risk and compliance responsibilities to be time-consuming and tedious, especially as dynamic risk environments require quick solutions to provide assurance. The drive for automation enables organizations to optimize compliance spend and control […]
Implementing Observability at Scale: Using Datadog
As highlighted in Part 1, observability aggregates, correlates, and analyzes a steady stream of data (e.g., application, third-party software, infrastructure data) to effectively monitor and troubleshoot applications to meet business requirements – be it business continuity, customer experience, service level indicators (SLIs) or service level objectives (SLOs). In this blog, we will discuss how Infinitive’s […]
ChatGPT’s Take on the Most Important Technology Trends
Ask ChatGPTI asked ChatGPT about the most important technology trends over the next five years. Its response was pretty impressive (in about 45 seconds). ChatGPT’s Answer“It’s difficult to predict with certainty what the most important technology trends will be over the next five years, as the technology landscape can change rapidly. However, some technology trends […]
AWS DevSecOps Best Practices
Are you tired of slow delivery times, communication breakdowns, and security breaches that could have been avoided? It’s time to consider implementing a DevSecOps culture into your organization. DevOps vs. DevSecOps – Before there was DevSecOps, there was DevOps. DevOps is a business practice that aims to shorten the software development lifecycle by enabling continuous development […]
Infinitive’s AWS re:Wind – re:Invent 2022 Recap
https://youtu.be/8FoASun-Ias AWS re:Wind – What’s all the buzz about? AWS re:Invent took place on November 28th – December 2nd in Las Vegas, NV and Infinitive was excited to learn more about the cloud, get inspired, and rethink what is possible with AWS solutions. This week, Infinitive hosted re:Wind, a webinar recapping our experience at re:Invent, […]
EDUCAUSE Recap
https://youtu.be/6mvakefqtdw Are you looking to impact students by getting more value out of your data? On October 25th – 28th, Wayne Campagna, Infinitive’s Client Service Lead in the education market, and Brad Sheridan, Director of Data and Analytics, attended the EDUCAUSE Conference in Denver, CO to learn about the latest innovations in higher education. As […]
Centralized vs. Decentralized Data Transformations: Implementing Data Mesh
In Part 1 we discussed what a data mesh is, its foundational principles, and how it solves current data management challenges. Data mesh enables analytics at scale; it allows greater flexibility and autonomy for data owners enabling easier data experimentation and innovation while reducing the burden on data teams. Implementing data mesh in an organization […]