Not long ago, I discussed AI and SEO, and how I think AI will require SEO specialists to be even more content-minded than they are now. Since then, I've noticed some interesting things happening with keywords. If links are the conduit that makes the internet possible, then keywords are the semantic signposts. This world of keywords is a very complex and mercurial one indeed. … [Read more...] about How AI Is Changing the SEO Outlook on Keywords
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 Big Data is Predicting the Spread of STDs and Helping Treat Those With Them
Sexually transmitted diseases are reaching record high numbers in the United States, with 50.5 million men and 59.5 million women having STDs. Even with the rise of easily accessible education and means to prevent and treat STDs, they are still spreading. A major factor contributing to STDs spreading is people being unaware they have contracted an STD and then having … [Read more...] about How Big Data is Predicting the Spread of STDs and Helping Treat Those With Them
Could Technology Be Leading Your Growth Plan?
Business growth can be as challenging as it is exciting - could technology be shouldering some of the burden? While growth should be a goal for every business, it's vital that employers understand the significant pressures that it can place on their employees and infrastructure. Fortunately, no matter how daunting the challenges, there are plenty of strategies available to … [Read more...] about Could Technology Be Leading Your Growth Plan?
4 Things Every Aspiring Data Scientist Should Know
Data science is an amazing, fast-moving career field to become involved in. There's no dearth of demand for capable, analytically-minded individuals. Organizations of all sizes are looking for talented data scientists, and the role offers real value across an extensive range of industries and applications. Here's an overview of some of the essential skills that any aspiring … [Read more...] about 4 Things Every Aspiring Data Scientist Should Know
What is the Beauty of Transfer Learning?
Beauty of machine learning lies in its power to generalize. Generalization is the algorithm's ability to learn patterns in a given dataset and predict results. For example, if an algorithm has been trained to predict mortgage price based on a borrower's credit history and annual salary, that information can be used to predict any new mortgage prices. However, if the same … [Read more...] about What is the Beauty of Transfer Learning?
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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.
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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.
Want to learn more about big data? Datafloq has courses available. Contact us to get started.
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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.
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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.
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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.
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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.
