That old saying “knowledge is power” is one that all of us are very familiar with, whether it’s from work, school, or life. Gaining that insight or competitive edge by accessing and consuming information can help everyone make better-informed opinions and decisions and improve potential outcomes. But as more and more data is saved and […]
Data Drift vs. Concept Drift: What Is the Difference?
Model drift refers to the phenomenon that occurs when the performance of a machine learning model degrades with time. This happens for various reasons, including data distribution changes, changes in the goals or objectives of the model, or changes to the environment in which the model is operating. There are two main types of model drift that […]
2023 Predictions: Breakthroughs Incoming for AI and Data Science
Surprising though it may sound, most AI business applications remain rudimentary. Some industry spectators believe the market is flush with cutting-edge AI breakthroughs. But in truth, many providers mislabel rules-based tools – including robotic process automation (RPA) – as AI and ML. Seasoned DevOps teams and software engineers know that RPA – although useful in […]
Augmented Analytics Tools Can Enable Data Democratization
What is business intelligence democratization? Put simply, BI democratization is the open access to business intelligence and augmented analytics tools to enable analysis and understanding of the data within the enterprise systems. The “democratization” component relates to the “who.” Who gets access to the data? The simple answer is: everyone. In an environment where intelligence and […]
Promoting Data-Driven Collaboration with an Enhanced Business Model Canvas
The number of organizations undertaking digital transformation initiatives continues to grow as businesses seek to increase profits using digitization and automation. The potential impact of digital transformation can be significant, so the stakes are high, as is the value of available data. According to IDC, $1.8 trillion will be spent on digital transformation in 2022, an increase of nearly […]
Making Data FAIR for All
It is tempting, when pursuing a project that requires heavy use of data, to focus just on that particular project. Collect or locate the data needed to answer the question at hand, work out the conclusions based on that data, act on the conclusions, and discard the data. But there has been a growing awareness, […]
2023: Mitigating Data Debt by Knowing or by Guessing?
One of the newer data buzzwords is “data debt.” Actually, it is approximately 10 years old, and it became popular ever since agile people realized that postponing things creates not only technical debt, but certainly also data debt. Will we, in 2023, be better at not creating so much data debt, and will it be […]
Data Privacy Day Is Here – Why Organizations Should Care
Data Privacy Day is celebrated on January 28th each year in the United States, Canada, and 49 other countries in an international effort to raise awareness around data privacy. It is meant to commemorate the 1981 signing of Convention 108, the first international, legally binding treaty surrounding data and privacy protection, but it is more impactful […]
How Reverse ETL Powers Modern Customer Marketing: Concrete Examples
How often do you take the time to fill out feedback forms or surveys about the products and services you use? If you’re part of a customer marketing team, you know that most people would say “not very often.” This is precisely the plight of the average customer marketer. Up until recently, feedback forms and […]
What to Expect from AI, Data Science, and Wearables in Health Care in 2023
AI and data science have remained areas of focus in the last year and will continue to be top of mind for many tech companies in the coming year. Wearables, especially those with health monitoring capabilities, have also grown abundant as medical and consumer companies alike ramp up their offerings in response to increased demand. […]