With the many, many uses of AI, we're seeing an increase in researchers, scientists, organisations and start-ups of all kinds looking at ways we can leverage this technology for good. Whilst high-technology' has become synonymous with high wages, and high investment, there are loads of projects out there applying this technology to poverty reduction. Harnessing the power of AI … [Read more...] about How AI Can Help Alleviate Poverty
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.
Is Data Now More Differentiating Than Analytics?
As a person who has been involved with analytics for a long time, I have historically considered analytics to be a huge differentiator while data was more of a table-stakes enabler. Several trends have come together to make me realize that the equation has been reversed in many cases today. Data as Enabler, Analytics as Differentiator Before the era of big data, most … [Read more...] about Is Data Now More Differentiating Than Analytics?
Tackling Fake News, and Deep Fakes With Artificial Intelligence
Fake news. Two words you'll have heard a lot of over the past year or so. It's been such a popular term that it even made Word of the Year for 2017. But there is a much more to it than being a large part of Trump's vocabulary. Â This is a uge problem that needs to be addressed and tackled. So, what is it then? Isn't ALL news in some way a bit fake - blown out of proportion, … [Read more...] about Tackling Fake News, and Deep Fakes With Artificial Intelligence
Best Public Datasets for Machine Learning and Data Science: Sources and Advice on the Choice
While shaping the idea of your data science project, you probably dreamed of writing variants of algorithms, estimating model performance on training data, and discussing prediction results with colleagues . . . But before you live the dream, you not only have to get the right data, you also must check if it's labeled according to your task. Even if you don't need to collect … [Read more...] about Best Public Datasets for Machine Learning and Data Science: Sources and Advice on the Choice
How Big Data is Eliminating Conflict in the Diamond Industry
Once upon a time, diamonds were the gold standard in the engagement ring industry and the most desirable of all stones, but in recent years they've fallen behind more sustainable and affordable stones. One reason: increasing awareness of the role conflict plays in sourcing diamonds. Buyers don't want to play a role in that violence. Luckily for the diamond industry, big data … [Read more...] about How Big Data is Eliminating Conflict in the Diamond Industry
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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.
