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, […]
The Ideal Data Fabric Architecture for Business Transformation
Data fabric is redefining enterprise data management by connecting distributed data sources, offering speedy data access, and strengthening data quality and governance. Many enterprises are already extracting business-relevant intelligence by putting their data to work through an efficient data fabric architecture. This article gives an expert outlook on the key ingredients that go into building […]
AI Ethics in Action: Making the Black Box Transparent
In my third article about the ethics of artificial intelligence (AI), I look at operationalizing AI ethics. Human intelligence remains a key factor – to keep a watchful eye on potential biases. Amazon caused a stir in late 2018 with media reports that it had abandoned an AI-powered recruitment tool because it was biased against women. Conceived as […]
How Today’s Digital-Native Businesses Are Securing the Open Data Lakehouse
Today, we’re seeing more companies embrace cloud-based technologies to deliver superior customer experiences. An underlying architectural pattern is the leveraging of an open data lakehouse. That is no surprise – open data lakehouses can easily handle digital-era data types that traditional data warehouses were not designed for. Data warehouses are great at both analyzing and storing […]
What Kinds of Data Languages Will We Need in the Future?
IBM had a pole position on the Database Management Systems (DBMS) market by developing “DL/I” in the 1960s as a means for defining and using hierarchical databases. Under the product names of DL/I and IMS (Information Management System) this dominated the database market for many years. Everybody, except for IBM followers, called the product “D-L-1,” […]
Synthetic Data: 4 Use Cases in Modern Enterprises
Synthetic data has emerged as a technological solution for organizations struggling with data access and privacy compliance. As a privacy-enhancing technology, it has grown in popularity over the past years, with new predictions forecasting that by 2024, 60% of data used for AI and data analytics will be synthetic. But what is the reality of synthetic […]