In my previous blog post, I described some concrete techniques and surveyed some early approaches to artificial intelligence (AI) and found that they still offer attractive opportunities for improving the user experience. In this post, we’ll look at some more mathematical and algorithmic approaches to creating usable business intelligence from big piles of data. Regression Analysis Regression […]
What Role Does the Mainframe Play in Today’s Data-Driven Landscape?
The mainframe industry is at a pivotal moment in its history – the need for increased compliance requirements, the desire for tighter networks with customers, the growing cloud environment, cost pressures, the need for modern user experience, etc., all contribute to the growing need for mainframe modernization. According to a recent report from Forrester, 67% of enterprise infrastructure […]
IT Service Management Trends and Challenges
Due to the pandemic, the last two years have drastically changed IT operations, especially corporate IT service management, delivery, and support capabilities. In order to gauge exactly how these operations have changed, in late 2021, a global IT service management survey, The State of ITSM: Two Years into the Pandemic, was taken by 437 IT professionals, the […]
A Beginner’s Guide to Data Modeling and Analytics
As more and more companies start to use data-related applications to manage their huge assets of data, the concepts of data modeling and analytics are becoming increasingly important. While they typically rely on one each, they are two very distinct concepts. Companies use data analysis to clean, transform, and model their sets of data, whereas they […]
Data Projects Should Start with Data Governance
The hallmark of any successful Data Governance implementation is awareness. In the context of a large system integration project, we are talking about awareness of: 1) Data Quality expectations and metrics, 2) Enterprise Data Management plan, 3) Data Governance best practices, 4) data risk factors, 5) Data Governance framework, 6) data owners/data consumers, 7) Data Architecture principles, 8) […]
Don’t Put Off Unstructured Data Risk Reduction
In today’s digital world, stockpiling data has become an unrelenting requirement across virtually every industry. While there are numerous reasons to do so, a primary driver is the invaluable insights it offers to business leaders, helping them to make smarter, faster data-driven decisions. Today, the majority of this stockpiled data is unstructured. In fact, unstructured […]
Today’s Decentralized World: Driving a Shift in Three Key Paradigms for Data Management
Pre-COVID data scaling, performance, and data services were largely manageable within the corporate data center. But the last several years have seen enterprises decentralize their data and IT systems, while employees now work remotely across different locations and geographies. This massive increase in remote work arrangements has created additional challenges around managing data access and […]
Cloud Data Management Challenges and Best Practices
Data sources are increasing at an accelerating pace, and so is the volume of data. In 2021, it was reported that 79 zettabytes of data were generated across the globe. The ceaseless growth in data volume has brought with it numerous challenges, with most of the challenges associated with access management, data security, and regulatory […]
The Compelling Case for AIOps + Observability
As organizations evolve and fully embrace digital transformation, the speed at which business is done increases. This also increases the pressure to do more in less time, with a goal of zero downtime and rapid problem resolution. Real costs to the business are at stake. For instance, a 2021 ITIC report found that a single hour of server […]
The Growing Energy Demands of Data Storage
Awareness provides the power to adapt for the better. As digital becomes ever more immersive, there is a hidden cost of technology directly impacting the environment around us. The energy demands of modern-day data storage are incredibly vast. The question is: How can we address the consequences of this? Behind everything we do is data, […]