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insideBIGDATA 03/20/2019 10:15
In this contributed article, Ganes Kesari, Co-founder and Head of Analytics at Gramener, discusses OpenAI a breakthrough considered so dangerous that the developer stopped short of sharing the code, and instead, released a limited version. In this article, we’ll take a sneak peek into this landmark, and explore how such advances in AI-driven natural language processing can be leveraged by enterprises.
insideBIGDATA 03/19/2019 09:00
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.
insideBIGDATA 03/17/2019 11:00
In this contributed article, Collin Dayley, Senior Vice President Sales and Strategic Partnerships at Versium, suggests that typically, B2B data focuses on role, and firmographic information. While B2C data can reveal information providing clues to the emotional reasons and process your customers use when making buying decisions. By combining both B2C and B2B data, marketers can develop more relevant content and experiences that meet individual buyer needs. This is proven to increase the ability to contact and engage B2B buyers.
insideBIGDATA 03/16/2019 20:00
Aible, the innovators of AI for business impact, announced the UC Berkeley Real World AI Challenge winners — the top scorers include two high school students, a history major and no data scientists. Nearly 30 high school and college students competed to create a custom Artificial Intelligence (AI) based on a real-world healthcare data set […]
insideBIGDATA 03/16/2019 16:00
Kinetica, a leader in active analytics for the Extreme Data Economy, announced the release of the first complete active analytics platform, dramatically simplifying the architecture to deliver smart analytical applications at massive scale. The platform unites the key elements of active analytics: historical analytics, streaming analytics, graph analytics, location intelligence, and machine learning-powered analytics.
insideBIGDATA 03/16/2019 11:00
AnotherBrain is bringing its Organic AI™ technology that can transform every sensor into a smart sensor for use in industrial automation, automotive and IoT markets. AnotherBrain’s technology is explainable by design, uses low energy, and low data in order to make the deployment of artificial intelligence (AI) in factory and logistics more practical and effective.
insideBIGDATA 03/14/2019 11:30
In this contributed article, Justin Langseth, Co-Founder & Chairman of Zoomdata, offers two approaches, together with modern cloud-native data storage, data engines, and BI tooling, relatively simple yet hyper-scalable approaches can start to help tame data entropy, handle the exponentially-growing size, speed, and potential sources of data, and still deliver solid value and insights to end users.
insideBIGDATA 03/14/2019 09:30
According to a recent Gartner survey, Artificial intelligence (AI) learning has moved from a specialized field into mainstream business use with 37 percent of respondents reporting their enterprises either had deployed AI or would do so shortly. WekaIO's Barbara Murphy explores the path of artificial intelligence from the fringe to mainstream business practices. Find out what is driving AI growth and adoption.
insideBIGDATA 03/13/2019 11:30
In this contributed article, Maria Anderson – Partner, Kimberly A. Kennedy – Associate, and Alexander J. Martinez – Associate at Knobbe Martens, discuss how AI has exploded in the last decade. Adopted in many business sectors, AI is rapidly becoming an integral part of society. Thus, obtaining patent protection for AI technology is more important now than ever before.
insideBIGDATA 03/12/2019 11:30
In this contributed article from our friends over at RS Components, we look at the important questions: The rise of AI and who's hiring? Are you at risk of losing your job? Over the next few years we will see the impact new AI roles will have, as new developments will find their way into the home and workplace. The question is, are you ready for this technological wave artificial intelligence continues to bring?
insideBIGDATA 03/12/2019 09:30
AI systems are becoming more and more of the norm as machine and deep learning gain grown — especially within the data center and colocation markets. That said, Artificial Intelligence systems are only as good as their underlying mathematics and the data they are trained on. Download a new report from Alegion to further understand the bias behind machine learning and how to avoid four potential pitfalls.
insideBIGDATA 03/11/2019 11:30
In this contributed article, Gaby Olazabal, a Senior Vice President at CLARA Analytics, explains that although there is a lot to consider when selecting an AI partner, know that selecting the right partner will be worth it. AI’s capabilities and benefits are truly transformative when applied in a thoughtful way. Best of luck to you as you embark on your AI journey.
insideBIGDATA 03/09/2019 11:00
In this contributed article, Magnolia Potter focuses on “Big Data” which refers to massive data sets that can be analyzed to reveal a pattern or habit of the populations surveyed. It’s especially used as a way to understand human behaviors and has been revolutionary in finding new ways to reach audiences in just about every industry. Now, you can use big data to manage your business.
insideBIGDATA 03/08/2019 11:30
Our annual insideBIGDATA Executive Round Up showcases the insights of thought leaders on the state of the big data industry, and where it is headed. In our annual 2019 round up, we examine five topics: the importance of AI explainability in 2019, what industries are making the best competitive use of AI in 2019, how enterprises are seeking to improve technological infrastructure and cloud hosting processes for supporting AI, how AI-optimized hardware solves important compute and storage requirements, and how AI plays important roles at 3 leading companies.
insideBIGDATA 03/07/2019 11:30
It’s no secret that machine learning success is derived from the availability of labeled data in the form of a training set and test set that are used by the learning algorithm. Labels are the values of the response variables (what’s being predicted) that are used by the algorithm along with the feature variables (predictors). One consistent problem faced by data scientists is how to obtain labels for a given data set for use with machine learning. In this article we’ll see a variety of techniques used down in the trenches.

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