Click to learn more about author Mathias Golombek. The Challenge Michael Stonebraker, winner of the Turing Award 2014, has been quoted as saying: “The change will come when business analysts who work with SQL on large amounts of data give way to data scientists, which will involve more sophisticated analysis, predictive modeling, regressions and Bayesian […]
Re-imagining the Business with Artificial Intelligence
Artificial Intelligence (AI) will be a strategic capability and competitive advantage, no doubt. Statistics speak to that point. According to AI startup advisor Steve Ardire during his presentation (co-presented with Mico Yuk) at the DATAVERSITY® Enterprise Data World Conference titled “Why Enterprise Organizations Use AI as a Strategic Capability and Competitive Advantage,”AI is expected to […]
Citizen Data Scientists: Where Do They Belong?
The phenomenal growth of data technology in recent years has led to the rise of the citizen data scientists (CDS). Developments in augmented analytics and artificial intelligence (AI) automation have now made it possible for ordinary business employees to conduct advanced analytics or business intelligence (BI) which would have required expert knowledge even some years […]
The Importance of Data Science and Analytics in the Finance Industry
Click to learn more about author John Russell. It is estimated that by the end of 2020, there were approximately 40 zettabytes (40 trillion gigabytes) of data in the world. If it feels a bit difficult to wrap your head around that number, don’t worry – you are not alone! It is a truly staggering […]
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 […]
Closing the Data Science Skills Gap at Your Organization
Click to learn more about author Itamar Ben Hamo. Data scientists are some of the most in-demand professionals on the market. A LinkedIn Workforce Report in 2018 found 151,000 unfilled data scientist jobs across the United States, with “acute” shortages in San Francisco, Los Angeles, and New York City. And the demand for data scientists […]
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 […]
DataEd Slides: Data Management Best Practices
DataEd Slides: Data Management Best Practices from DATAVERSITY To view just the On Demand recording of this presentation, click HERE>> About the Webinar It is clear that Data Management best practices exist, and so does a useful process for improving existing Data Management practices. The question arises: Since we understand the goal, how does one […]
DataEd Webinar: Data Management Best Practices
To view just the slides from this presentation, click HERE>> About the Webinar It is clear that Data Management best practices exist, and so does a useful process for improving existing Data Management practices. The question arises: Since we understand the goal, how does one design a process for Data Management goal achievement? This program […]