Data-centric AI (DCAI) is a new class of AI technology that focuses on understanding, utilizing, and making decisions based on data. Before data-centric AI, AI was largely reliant on rules and heuristics. While these could be useful in some cases, they often led to suboptimal results or even errors when applied to new data sets. […]
How Can Unifying Data Fabric and Data Management Help Enterprises?
Today, one of the most cutting-edge technologies is data fabric. Data fabric and data management can significantly improve business functions by connecting siloed data and making it accessible across divisions and workgroups. Utilizing a specialized architecture, on-premises data can be shared across multi-cloud and deliver unique insights unavailable with other data management techniques. In this […]
5 Simple Ways to Improve Data Literacy
Building and maintaining a data-driven business is the only way to ensure your long-term success in today’s increasingly digital commerce landscape. This involves more than hiring a team of IT professionals or buying the latest data analytics tools – it requires you to improve your employees’ Data Literacy skills as well. Data-driven organizations must capture […]
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 Science: How to Shift Toward More Transparency in Statistical Practice
Data Science and statistics both benefit from transparency, openness to alternative interpretations of data, and acknowledging uncertainty. The adoption of transparency is further supported by important ethical considerations like communalism, universalism, disinterestedness, and organized skepticism. Promoting transparency is possible through seven statistical procedures: Data visualization Quantifying inferential uncertainty Assessment of data preprocessing choices Reporting multiple models Involving […]
How Low-Code Is Bridging the Gap Between Data Scientists and Businesses
Coding is a foreign language for many high-level and C-suite executives who lead corporations today. However, it’s hard to find anyone who doesn’t understand the importance of technology and how our future will hinge on mastering it. Although many computer scientists argue in favor of low-code software for data scientists, there is an argument to […]
How to Use Data Analytics to Gain Valuable Insights with Limited Data
Every modern business professional understands the importance of data. Data can separate the forest from the trees, providing business leaders with a new perspective. From valuable insights regarding customer satisfaction to understanding vital improvements that you can make operationally, data analytics can provide a huge return on investment. However, many businesses shy away from Data Science and analytics because they feel […]
How to Create a Digital Twin of Your Business
In an increasingly interconnected, fast-changing, and globalized world, business operations have entered a new level of complexity. Whether a company designs products, manufactures them, or provides a certain service – and in many cases, there are companies that do all of the above – the process has multiple layers. The end product likely goes through […]
Approaching Process Automation Using Virtualization Technology
Process control practitioners frequently use virtual machines (VMs) when deploying and managing process automation applications. However, developments in operational technologies have created new and better ways to streamline management on cloud data centers. Orchestration and containerization – next-generation virtualization concepts – are transforming automation and freeing users from the frustrating and time-consuming process of wholesale digital […]
5 Common Data Governance Challenges (and How to Overcome Them)
It’s common for enterprises to run into challenges such as lack of data visibility, problems with data security, and low Data Quality. But despite the dangers of poor data ethics and management, many enterprises are failing to take the steps they need to overcome Data Governance challenges. Let’s break down some of today’s biggest Data Governance challenges […]