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 […]
Knowledge Graphs, Ontologies, and AI
This past fall, all aspects of the computable knowledge structure KBpedia – its upper ontology (KKO), full knowledge graph, mappings to major leading knowledge bases, and 70 logical concept groupings called typologies – became open source. Making big strides in increasing definitions and mappings has been a main focus of KBpedia v. 1.60. As it always […]
Industry 4.0: Make Data-Driven Decisions Immediately
What if a cyber-physical world — fueled by data — shortened production and manufacturing decisions to the time it takes to adjust a thermostat’s temperature? This just begins to describe Industry 4.0. According to a recent McKinsey article, Industry 4.0 “expects to deliver between $1.2 and $3.7 trillion in value.” Meanwhile, according to Riasat Noor, […]
RWDG Slides: Data Governance and Data Science to Improve Data Quality
Data Governance and Data Science to Improve Data Quality from DATAVERSITY To view the On-Demand recording from this presentation, click HERE>> This webinar was sponsored by: About the Webinar Data Science uses systematic methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data. Data Science requires high-quality data that is trusted […]
RWDG Webinar: Data Governance and Data Science to Improve Data Quality
To view just the slides from this presentation, click HERE>> This webinar was sponsored by: About the Webinar Data Science uses systematic methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data. Data Science requires high-quality data that is trusted by the organization and data scientists. Many organizations focus their Data […]
Machine Learning vs. Deep Learning
The debate on machine learning vs. deep learning has gained considerable steam in the past few years. The fundamental strength of both these technologies lies in their ability to learn from available data. Though both of these offshoot AI technologies triumph in “learning algorithms,” the manner in which machine learning (ML) algorithms learn is very […]
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 […]
Accelerating Enterprise Growth with Data Science
Click to learn more about author Sudeep Rao. The 21st century has been characterized by the exponential growth of disruptive technology and its impact in multiple industry sectors – from manufacturing, banking, and finance to health care and retail. This has been accompanied by a concurrent data explosion, with every industry sector now generating information […]
Data Science and AI Use Cases
A business use case is generally defined as a sequence of business actions that lead to a predetermined, value-added outcome. Data Flair shares the Top 6 Data Science Use Cases slated to bring in another industrial revolution. From banking to transportation in the physical business world, and from social media to e-commerce on the digital business […]
Machine Learning Transformed: Data Quality and Operational Necessities
Machine learning elicits mixed reactions. On the one hand, some consider machine learning a company’s new super power that has “swept enterprise technology, using mass amounts of data and algorithms to make predictions.” At the same time machine learning has been considered an overhyped fad and a panacea, failing to deliver. While both can be […]