Compared to other new technologies, artificial intelligence has been around for a while now. However, that has had no impact on its efficacy or potential; in fact, it has only been rendered increasingly important in the world around us, especially in the context of companies and their endeavors to help people. Don’t believe it? Well, recent studies…

In today’s business environment, most organizations are overwhelmed with data and looking for a way to tame the data overload and make it more manageable to help team members gather and analyze data and make the most of the information contained within the walls of the enterprise. When a business enters the domain of data management, it can often get…

The field of information technology loves to prove that the only constant is change. What intensifies the truth of this axiom is that we are living in the greatest period of technological change that humans have experienced so far. Any one of the several megatrends that are occurring simultaneously could be viewed…

Background

In our previous blog post, “Master Your ML/AI Success with Enterprise Data Management”, we outlined the need for Enterprise Data Management (EDM) and…

According to a recent study from market research firm Global Market Insights, The need for data center infrastructure market management among organizations to offer higher energy-efficiencies will be positively driven by the influx of cloud computing, Big Data, and AI solutions. The surge in internet infrastructure activities has led to the…

Figure 1: Unleashing the Value of Technology Roadmap

In part 1 of the blog series “…

The number of devices connected through the Internet of Things (IoT) is increasing rapidly. Statista estimates that there will be about 50 million IoT-connected devices in use across the world by 2030. And these interconnected devices and enterprise systems will generate vast amounts of data. And, most of this data will be stored and analyzed on the…

Advanced analytics, in particular analytics that takes advantage of Machine Learning and Artificial Intelligence (ML/AI), have become established mainstream business initiatives. Several reports and surveys published by confirm the rapid growth in ML and AI projects at enterprises of all sizes and in all industries. A…

Data is the lifeline of every business, and it is invaluable for your past, present, and future business decisions. Irrespective of the size of your organization you need the data management and handling.…

Data integration involves combining the organization’s data from different sources to create one usable consolidated stream of data. When well-executed, data integration results in one accurate view which can be used for data analysis. With DQLabs, data integration is made seamless by utilizing AI-powered built-in…

The massive and sudden shift to remote work in 2020 that resulted from the pandemic pushed many organizations to ramp up their cloud strategy. The pandemic “validated the cloud’s value proposition,” according to the analysts at…

The massive and sudden shift to remote work in 2020 that resulted from the pandemic pushed many organizations to ramp up their cloud strategy. The pandemic “validated the cloud’s value proposition,” according to the analysts at…

Data is the driving force of every organization in the modern world. As organizations continue to collect more and more data, the need to manage the quality of the data becomes more prominent each day.

Data Quality Management can be defined as a set of practices undertaken by a data manager or a data organization to maintain high-quality…

What is Cloud Data Discovery

Data discovery is a term used to depict the interaction for gathering data from different sources by identifying patterns and variances with the assistance of guided advanced analytics and visual route of…

I’m overjoyed to announce the release of my latest book “The Economics of Data, Analytics, and Digital Transformation.”  The book takes many of the concepts discussed in this blog to the next level of pragmatic, actionable detail.  Thanks for your support!

Organizations…

"Information is the oil of the 21st century, and analytics is the combustion engine”  by Peter Sondergaard, Senior Vice President, Gartner

The…

Backing up your data allows you to keep your operations running, preserve customer and sales data you need for business planning or a marketing strategy development. However, not too many business owners are familiar with this process which is rather simple to perform even though it offers a wide array of different methods,…

Big data, a term that describes a huge volume of data that inundates businesses on a daily basis, has transformed many processes in numerous different industries. The way big data works in business is that it gets analyzed to reveal patterns that weren’t previously recognized and provide companies with more insight into a certain…

Cassandra is a popular, tried-and-true NoSQL database that supports key-value wide-column tables. Like any powerful tool, Cassandra has its ideal use cases - in particular, Cassandra excels at supporting write-heavy workloads, while having limitations when supporting read-heavy workloads. Cassandra's eventual consistency model and lack of…

Many of the stages in a typical data science lifecycle have more to do with data than they do with science. Before the data scientist can actually engage in science, there are several steps they must first complete:

1. Find where…