Click to learn more about author Philip On. Data is one of the most valuable resources a company has, but for many it remains largely untapped. It’s stored in departmental silos, or because of overly complicated access, it remains locked behind the doors of data specialists. Access to data needs to be simplified so that […]
What’s Next for AI in 2020?
Click to learn more about author Roger Magoulas. Artificial intelligence has no doubt had a huge impact on business and society as a whole. From healthcare to the military to autonomous cars, AI is paving the way for new applications – all while making our lives easier by reducing human effort and providing accurate intelligence. […]
Data Modeling Trends in 2020: A Year of Optimization
This next year demands quicker data-driven decisions, better automation, more integration, and more data, requiring optimized Data Modeling. Data Modeling refers to documentation describing core business rules and definitions around data. Business and technical shareholders benefit from Data Modeling by seeing complex data concepts in an intuitive, visual way. Throughout 2020, Data Modeling will need […]
Dining Out on Data: Five Ways to Use Your Customer Information
Click to learn more about author Jurgen Ketel. If you’re running a restaurant in 2020 – or any kind of business – you’re be well aware that data is kind of a big deal. The more information you have on your customers, your staff, and your operations, the more productive, profitable, and ultimately successful you […]
Setting Management Expectations in Machine Learning
Click to learn more about author Edward Wong. Data scientists and analysts spend most of their day interacting with data problems – preparing data for analysis, writing and testing algorithms, etc. However, every so often you will have to present and justify your work to management and answer their questions. After all, they’re likely paying […]
Artificial Intelligence and Machine Learning Trends in 2020
“Artificial Intelligence and Machine Learning have reached a critical tipping point and will increasingly augment and extend virtually every technology enabled service, thing, or application.” – Gartner An article on the future of AI and machine learning mentions that while cloud technology offers “agility to business processes,” artificial intelligence (AI) and machine learning (ML) technologies […]
Why You Should Learn PostgreSQL for Data Science
Click here to learn more about author Gilad David Maayan. Is SQL a requisite to be a data scientist? The answer is yes. Data Science has evolved, and while many data scientists still work with CSV files (text files with comma-separated values) these are not the best choice. The Python Panda library allows you to […]
The Data Analysts of the Future: What Will They be Doing?
The need for citizen data scientists — people who can use real-time, data-powered insights — will be on the rise with the widespread availability of data and AI-enabled, self-service analytics platforms. So, the best job of the century may be at risk. Smart machine learning algorithms can analyze and interpret data, and even produce content […]
How Culture, Data, and Skills Serve as Barometers for Organizational Data Science Preparedness
Click to learn more about author Steve MacLauchlan. I’ve had the good fortune over my career of working with many different organizations across many different industries. Often, I’ve been in an advisory role assisting organizations with getting a handle on their data assets and finding value in the insights those assets can provide. When data is […]
Data Delivery vs. Amazon Delivery: Making Data Scientists More Efficient
Click to learn more about author Dipti Borkar. If Amazon can deliver an order in 1 hour, why does it take days or weeks for data scientists to access their datasets? Embrace chaos, embrace data silos, orchestrate, and deliver. As I head to AWS Summit today, I’ve been thinking about the beginnings—how it began for […]