It’s clear that there is considerable recent market movement towards self-service business intelligence (SSBI) in the numerous vendor offerings available. There is also a growing concern among the Data Science community that ordinary business users may misunderstand or misinterpret the available data, leading to incorrect results. Experienced data scientists have a tremendous ability to analyze, […]
Six Questions About Synthetic Data
Click to learn more about author Dr. Sigal Shaked. What is synthetic data, and why are more and more companies turning to it as an alternative to the real thing? Here’s what you should know about the benefits and uses of synthetic data. What is the buzz about synthetic data? Organizations often lack enough data […]
Fundamentals of Robotic Process Automation and Data Management
Data Management software is essential to providing organizations with critical insights about their customer’s behavior. Robotic process automation (RPA) is a process in which software programs perform repetitive Data Management tasks, such as data validation, email responses, normalization, and metadata organization. Put another way, RPA automates the mundane. It does this by observing and imitating […]
What Is Explainable AI and Its Impact?
Click here to learn more about Dustin Oxborrow. Artificial intelligence (AI) drives a growing share of decisions that affect every aspect of our lives, from where to take a vacation to health care recommendations that could affect our life expectancy. As AI’s influence grows, market research firm IDC expects spending on it to reach $98 billion in 2023, […]
Messy Data Shouldn’t Stop Machine Learning in Its Tracks
Click to learn more about author Jon Reilly. Businesses are creating data at an incredible pace that will only accelerate. In fact, data storage company Seagate predicts it will pass a yearly rate of “163 zettabytes (ZB) by 2025. That’s ten times the amount of data produced in 2017.” Moore’s Law – the principle that […]
Scaling Machine Learning Applications
When the number of users for a predictive model grows, it is expected (albeit often wrongly) that the machine learning powered systems will automatically scale to keep up with this growth. If the system fails to scale, processing requirements may outpace performance. Using an example from a LinkedIn article, a sample recommender system fails to […]
Top Use Cases for Data Management Automation
Click to learn more about author Daniel Pullen. Nowadays, we are surrounded by data: We produce a lot of personal data and work with a significant amount of data. When it comes to the business environment, data is crucial for effective decision-making, which makes it a highly valuable resource. But it needs to be well […]
So You Want to be a Machine Learning Engineer?
Ideally, a machine learning engineer would have both the skills of a software engineer and the experience of a data scientist and data engineer. However, data scientists and software engineers usually come from very different backgrounds, and data scientists should not be expected to be great programmers, nor should software engineers be expected to provide […]
Industry 4.0: Revolutionizing the World
Click to learn more about author Devansh Sharma. Somewhere in the city of Houston, Ralph is spending time with his kids in the dining room after a long day at the refinery, when he gets a call that one of the pressure units is down. He takes his laptop and tries to figure out when […]
NLP Makes Every Business User More Comfortable with Analytics
Click to learn more about author Kartik Patel. Your business users probably fight you on improving Data Literacy and on implementing digital transformation. Many business users have a fear of analytics and envision having to become a business analyst or a data scientist in order to fulfill the vision of the business and its citizen data […]