There seems to be some confusion as to exactly what artificial intelligence (AI) is, and how the discipline of AI should be categorized. Is AI a form of analytics or is it a totally new discipline that is distinct from analytics? I firmly believe that AI is more closely related to predictive analytics and data science than to any other discipline. One might even argue that AI … [Read more...] about Yes, Artificial Intelligence Is Analytics
Big Data
Learn everything you need to know about big data. Find out how companies are using this revolutionary technology and what it means for your business strategy.
How European Organizations Increase Their Innovation Speed with Smart Data Application
For the third consecutive year, GoDataDriven collaborated with Big Data Expo to conduct Big Data Survey. Over 800 professionals participated in this third edition of Big Data Survey and shared their insights and experiences on topics like data strategy, implementing data science, technology, cloud, gdpr, and how to become attractive as an employer. What Makes a Data Strategy … [Read more...] about How European Organizations Increase Their Innovation Speed with Smart Data Application
Equestrian Sports Where Trots Get Digital and Technology Meets Tradition
Equestrian sports is one of the oldest forms of sports entertainment. Its history can be dated back to the ancient Greek civilization. Since then, the trots have transcended the periodical barriers from time to time, walking stride to stride with the age-specific customs, and entertaining the crowds in the process. And, in this present age, where everything is digitized, the … [Read more...] about Equestrian Sports Where Trots Get Digital and Technology Meets Tradition
Would You Give Up Your Data for Science?
The world is not as private a place as it might seem. Even though you might be sitting quietly at work, on your way back home on the train or relaxing in front of the latest Netflix series, your life is being scrutinised. Some of the data will be for your eyes only, and there is a certain amount of choice as to what is in the public domain, but much of the snooping is still … [Read more...] about Would You Give Up Your Data for Science?
4 Problems Still Facing Rugged Data Storage
Most data storage devices on the market are relatively reliable, but only if kept from getting too hot or cold and in a vibration-free place. In contrast, rugged data storage devices are among the toughest available. Preferred by military personnel and others who regularly encounter demanding environments, these tech tools can withstand extreme temperatures, plus shocks and … [Read more...] about 4 Problems Still Facing Rugged Data Storage
What is big data?
Big data is a term that refers to the massive amount of digital data created and shared every day. Big data can transform how we live, work, and communicate. It can be used to improve everything from public health and urban planning to business and marketing.
Big data is also changing the way we think about privacy and security. The volume, velocity, and variety of big data present challenges and opportunities for organizations and individuals. Regardless, big data is here to stay, and its impact will only continue to grow in the years to come.
What is big data analytics?
Big data analytics is the process of turning large, complex data sets into actionable insights. Businesses use various analytical tools and techniques, including machine learning and statistical analysis, to do this.
Big data analytics can be used to improve decision-making in areas like marketing, operations, and customer service. It can also be used to identify new business opportunities and optimize existing processes. With the help of big data analysis, businesses can gain a competitive edge by using their data better.
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When was big data introduced?
The term big data was coined in the 1990s, with some giving credit to John Mashey for popularizing the term. However, the concept of big data has been around for much longer.
Where does big data come from?
In the early days of computing, scientists and businesses began to realize that the amount of data being generated was increasing exponentially. As a result, they began to develop new methods for storing and processing data.
Over time, these methods have become increasingly sophisticated and have played a key role in enabling businesses to make sense of vast amounts of information. Today, big data is used in various industries, from retail to healthcare, and its importance is only likely to grow in the years to come.
What are examples of big data?
One of the most common examples of big data is social media data. With over 2 billion active users, Facebook generates a huge amount of data every day. This includes information on user interactions, posts, and even location data. Analyzing this data can help companies better understand their customers and target their marketing efforts.
Another example of big data is GPS signals. These signals are constantly being generated by devices like cell phones and fitness trackers. When combined with other data sets, GPS signals can be used to provide insights into everything from traffic patterns to human behavior. Finally, weather patterns are another type of big data set. By tracking these patterns over time, scientists can better understand the impact of climate change and develop strategies for mitigating its effects.
How do companies use big data?
Companies use big data in marketing, product development, and customer service. By analyzing large data sets, businesses can identify patterns and trends that would be otherwise difficult to spot. For example, a company might use big data to track customer behavior patterns to improve its marketing efforts.
Alternatively, a company might use big data to improve its products by identifying areas where customers are most likely to experience problems. For instance, big data can be used to improve customer service by finding pain points in the customer journey. Ultimately, big data provides companies with a valuable tool for gaining insights into their business operations.