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Fundamentals of Self-Service Business Intelligence

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, […]

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 […]

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 […]

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