Gone are the days when you would walk into a brick and mortar store and buy an item that doesn't match your preferences and interests. People are no longer forced to buy the readily available products as demand for personalized shopping experience continues to rise. Moreover, the rise in tailor-made experiences and e-commerce competition is evolving. Significant strides in … [Read more...] about Why a Personalized Digital Shopping Experience Will Improve Customer Retention
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.
Can Data End the Climate Change Debate Once and For All?
Fear of climate change and the resulting sustainability movement effect every sector of business and education. Either climate change is the defining crisis of our time and we need to use all the data, AI, technology and innovation to mitigate it, or we are simply experiencing part of a heating/cooling cycle that has little to do with human activity. On either side of the … [Read more...] about Can Data End the Climate Change Debate Once and For All?
How To Use Data To Drive Your Marketing Campaigns?
For marketers who use email to trigger clients, it is necessary to sort data and then use it to enhance their website. You need to fuel data in such a manner that it would boost your current market conditions. Finding data is never an issue, all you need to know is what kind of data is exactly required for your campaigns. Every portal offers analytics dashboard so you can track … [Read more...] about How To Use Data To Drive Your Marketing Campaigns?
Confidence from Gartner Data & Analytics: IT is dead in 5 years
Last month, I had the incredible opportunity through my current employer to attend Gartner Data & Analytics summit in London, one of the top conferences around emerging trends in Data and Analytics. This year about 1600 people attended the event, expecting to get invaluable information on applying the latest data and analytics technologies to generate new revenue. Most … [Read more...] about Confidence from Gartner Data & Analytics: IT is dead in 5 years
Pedestrian Detection Using TensorFlow* on Intel’ Architecture
This advertorial is sponsored by Intel®. Abstract This paper explains the process to train and infer the pedestrian detection problem using the TensorFlow* deep learning framework on Intel® architecture. A transfer learning approach was used by taking the frozen weights from a Single Shot MultiBox Detector model with Inception* v2 topology trained on the Microsoft Common … [Read more...] about Pedestrian Detection Using TensorFlow* on Intel’ Architecture
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.