Data Science vs. Decision Science: Basic Descriptions In Data Science, a variety of advanced technologies like data mining, statistics, predictive analytics, AI, and machine learning are used in conjunction to deliver solutions for business problems. In Decision Science, analyzed data is “interpreted” to arrive at business decisions that meet specific objectives. So while Data Science […]
Integrated Deployment – Deploying an AutoML Application with Guided Analytics
Welcome to our collection of articles on the topic of integrated deployment, where we focus on solving the challenges around productionizing Data Science. So far, in this collection we have introduced the topic of integrated deployment, discussed the topics of continuous deployment and automated machine learning, and presented the autoML verified component. In today’s article, we would like to […]
The Intersection of Self-Service Analytics and Machine Learning
The terms “self-service analytics” (SSA) and “machine learning” (ML) are frequently used interchangeably, but the concepts behind these terms are a world apart. In self-service analytics, specific tools are designed to aid the user in inputting data or interpreting results (output). On the other hand, a machine learning algorithm is a special software that has […]
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 […]
Active Learning and Its Benefits to Machine Learning Models
Supervised machine learning (ML) models such as classification models that are trained to predict the outcome of an instance (for example, approve or deny loan) are required to maintain high accuracy in production environment – making sure that there are more true positives, true negatives and fewer false positives, false negatives. In order to maintain optimal […]
10 Actionable Steps to Create a Data-Driven Culture
By capitalizing on your data assets, do you want to acquire fruitful outcomes and actionable insights to make more informed and rational business decisions? To make your business a purely data-driven entity with a highly streamlined and targeted approach, you must embrace the change dictated by the valuable insights from the correct data analysis. By […]
Data Management vs. Data Science
The shift in the business perception of data has now catapulted Data Management into new heights. Data Science is a core component of Data Management now, but Data Management and Data Science are often seen as two different activities. Working among data analysts, data engineers, and DBAs, data scientists spend their time getting the data […]
Data Scientist vs. Data Engineer
The Background of Data Science Roles It was thought a few years ago that 2018 would amount a huge demand-supply gap in the Data Science market as supply would fail to keep pace with the rising demand for expert data scientists. However, the buzz from Gartner, which said more than 40 percent of Data Science […]
Data Literacy Trends in 2022
Investing in leadership skills as well as data skills allows organizations can ensure that they can have decisive marketplace and intra-organizational impacts. The Chief Data Officer (CDO) role is only a few years old, and many organizations still don’t have a CDO. Data Literacy is an essential component to all of this. In a recent […]
3 Strategies for Creating a Successful MLOps Environment
Disconnects between development, operations, data engineers, and data science teams might be holding your organization back from extracting value from its artificial intelligence (AI) and machine learning (ML) processes. In short, you may be missing the most essential ingredient of a successful MLOps environment: collaboration. For instance, your data scientists might be using tools like JupyterHub or […]