Order in the court! Order in the court! The case being heard is a serious one. The defendant—the Chief Data Architect of VeraVisionFake Inc.—is accused of having ignored the need to establish a valid and sound common data vocabulary in her organization. She is up against The Common Vocabulary Value regulatory agency, whose mission is […]
Case Study: Predictive Analytics and Data Science Keep an Eye on the Weather
Weather companies want to do their best so that consumers and businesses can have reliable forecasts – not just for the day but in advance of it. Accuracy matters to weather services such as the Weather Channel and AccuWeather and predictive analytics, along with Data Science, is allowing them to get more precise weather reports […]
Streaming Analytics: The Value is in the Action
“When we’re talking about streaming analytics, we’re talking about flipping our traditional paradigm a little bit and thinking about how we bring analytics to our data, and not necessarily data to our analytics,” said Kimberly Nevala, the Director of Business Strategies for SAS Best Practices, while discussing streaming analytics during the DATAVERSITY® Enterprise Analytics Online […]
Fundamentals of Self-Service Machine Learning
The recent organizational push for self-service Business Intelligence has helped the next challenge for business users become an increasing need. How to tackle the issue of having Machine Learning (ML) models embedded in all major analytics platforms? On the one hand, embedded models offer greater freedom and control over data analysis; on the other hand, […]
A Brief History of Natural Language Processing (NLP)
In the early 1900s, a Swiss linguistics professor named Ferdinand de Saussure died, and in the process, almost deprived the world of the concept of “Language as a Science.” From 1906 to 1911, Professor Saussure offered three courses at the University of Geneva, where he developed an approach describing languages as “systems.” Within the language, […]
Embracing Data Silos: Semantic Search and Analytics Innovation
Walk around any large organization and hear people groan about finding the right data to do their work. In the typical organization, data sits in multiple places, lost behind technical and functional boundaries. These isolated systems, referred to as “data silos,” have often existed for good purposes and reasons such as helping each business function […]
Artificial Intelligence, Machine Learning, and Data Protection
Artificial Intelligence and Machine Learning techniques are altering the way organizations gather, process, and protect data. They are being used to gather massive amounts of information about internet users in the form of Big Data, and to secure and protect it. The challenge is how to maximize the use of Big Data, while simultaneously safeguarding […]
The State of Data Science: Expertise Shortage Creates a Need for Innovation
The world’s most valuable resource is no longer oil but data. As a result, the skills required to convert data into insights that generate revenues are in high demand. Unfortunately, one of the biggest hurdles companies face when trying to capitalize on their data sets is a lack of data scientists and machine learning practitioners. […]
Next Generation Business Intelligence: Customer-Driven Success
In the customer-driven era, business success depends on how quickly a business can respond to a customer demand. The more that businesses become reliant on real-time outcomes, the more they will seek next-generation (next-gen) BI deployments. Traditional Business Intelligence (BI) platforms were high-cost and time-intensive applications. The current trend in BI is to move toward […]
Deploying AI-Driven Systems
Artificial Intelligence (AI) will continue to transform and disrupt most industries but, to really stay competitive, organizations need to deploy AI-Driven systems quickly. However, as Ramesh Mahalingam, CEO of Vizru, an AI-based autonomous applications company, said this is not an easy feat: “AI adoption has proven quite a challenge. It takes enormous time, cost and […]