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 […]
The Future of Analytics: What is All the Hype About?
Expert’s ears immediately perk up upon attending a talk about how to get big insights from analytics. After all, analytics has become the new hot topic of the day. However, asked Nipa Basu, during her keynote presentation The Future of Analytics at the DATAVERSITY Enterprise Analytics Online Conference: “What is the difference between hype and […]
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 […]
The Future of Data Literacy
There was a time when only the elite, tech-savvy staff in an organization understood and felt qualified to discuss data-enabled business decisions. These individuals often possessed advanced academic degrees in Data Science, data engineering, statistics, operations research and other allied fields and did not speak the language of the ordinary business staff. As a result, […]
The Third Pillar of Trusted AI: Ethics
Click to learn more about author Scott Reed. Building an accurate, fast, and performant model founded upon strong Data Quality standards is no easy task. Taking the model into production with governance workflows and monitoring for sustainability is even more challenging. Finally, ensuring the model is explainable, transparent, and fair based on your organization’s ethics […]
7 Essential Data Science Skills for Every Employee
First and foremost, what, exactly, is Data Science? Data Science is a multidisciplinary field that uses processes, algorithms, and systems to obtain various insights coming from both structured and unstructured data. It is related to data mining, machine learning, and big data. What Data Science skills are essential for success – for not only data […]
What Is Data Science?
Data Science is a combination of scientific disciplines “to build predictive models that explore data content patterns,” according to the Data Management Body of Knowledge (DMBoK). Data Science, formerly known as applied statistics: “Integrates methods from mathematical, statistical, computer science, signal processing, probability modelling, pattern recognition machine learning, uncertainty modeling and data visualization towards gaining […]
Closing the Logistics Data Gap
Click to learn more about author Oleg Yanchyk. While data has been proliferating throughout the supply chain, helping companies drive efficiency and boost revenue, there’s one notable area that’s lagging behind: logistics. Of course, businesses have general data available to measure when products are picked up and dropped off and provide some general insight into […]
Analytics Democratization: Start with a Maturity Roadmap
Analytics democratization enables members of your team to find and analyze data to make impactful, data-driven decisions – without expert assistance.