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Big Data and Talent Acquisition: An Effective Synergy To Make Better Hires!

In this contributed article, Ishika Agarwal, Data Scientist, Blogging enthusiast and Educator at Coursework Online, discusses the strategic approach of talent acquisition to fill gaps in skills in an organization. Finding a cost-effective way of hiring talent in an organization is where the many facets of big data come into play.

Transforming Big Data into Meaningful Insights

In this special guest feature, Marc Alacqua, a founding partner of Signafire, discusses a useful approach to data – known as data fusion – which is essentially alchemy-squared, turning not just one but multiple raw materials in to something greater than the sum of their parts. It goes beyond older methods of big data analysis, like data integration, in which large data sets are simply thrown together in one environment. In this new science of data fusion, technology is deployed not just to mash together billions of data records, but to fundamentally transform them so that humans can understand the unseen commonalities or inconsistencies within them.

TOP 10 insideBIGDATA Interviews

Over the years, insideBIGDATA has caught up with some amazing industry luminaries to get their valuable perspectives on everything data. We put together the list below of our top 10 interview articles of all time in terms of page views and social shares. Enjoy!

Movies, Neural Networks Boost AI Language Skills

When we discuss about artificial intelligence (AI), how are machines learning? What kinds of projects feed into greater understanding? For our friends over at IBM, one surprising answer is movies. To build smarter AI systems, IBM researchers are using movie plots and neural networks to explore new ways of enhancing the language understanding capabilities of AI models.

IoT Feeds Data Stream to AI Application Converge for Real-time, Sideline Insights

In this contributed article, Jason Mann, Vice President of Internet of Things (IoT) at SAS, discusses how IoT creates enormous streaming data volumes, much of it unused or lost. Data lost is opportunity missed. The key to unlocking the value of IoT data is with AI applications that self-learn and automate actions. AI applications – created with analytics and using real-time IoT data – can reveal new business opportunities long before the competition wakes up.

“Above the Trend Line” – Your Industry Rumor Central for 7/16/2018

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

The Dangers of Algorithmic Bias

In this special guest feature, Sanjay Arora, CEO and Founder of Million Short, examines the dangers of algorithmic bias. It’s tempting to regard algorithms as objective, unbiased constructs that are free from the corruptive influence of human prejudices and biases. Unfortunately, this is seldom the case. Because algorithms are designed by humans – and increasingly learn by observing human behavior – they tend to adopt the biases of their developers and of society as a whole.

Evolution of Storage and the Demise of Prehistoric Storage Solutions

Our friends over at Hedvig produced the compelling “Jurassic” themed infographic below on the evolution of storage and the demise of prehistoric storage solutions. The graphic exposes the data explosion that has taken place in the last decade, and why this has caused the near extinction of outdated storage solutions in terms of the many challenges these prehistoric solutions presented.

Big Data Day LA 2018

Get ready for the local big data event of the year! The 2018 edition of Big Data Day LA is taking place on Saturday, August 11, 2018 at the University of Southern California. This full-day conference is a great way to immerse yourself in everything data with sessions tracks on diverse topics: Data, AI/ML/Data Science, Emerging Tech, Infrastructure and Security, and Visualizations/UI/Use Cases.

Data Science at Microsoft – Interviews with Practitioners

In this technical brief I wanted to pass along some great resources in support how data scientists approach their profession and illustrate the kind of background a typical data scientist might have to become successful. insideBIGDATA previously featured four compelling podcast interviews with Microsoft data scientists.