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Is Your Data FAIR? An Open Data Checklist for Success

In this special guest feature, Assaf Katan, CEO & Co-Founder of Apertio, the Open Data deep search engine, suggests that there are huge social and financial benefits that businesses and economies can realize if they can successfully leverage Open Data. Despite this, there are still some hurdles for data professionals to leap. A great way to start is to consider whether your data meets the criteria for what’s known as the FAIR principles. These are Findability, Accessibility, Interoperability and Reusability.

AI Critical Measures: Time to Value and Insights

AI is a game changer for industries today but achieving AI success contains two critical factors to consider — time to value and time to insights.  Time to value is the metric that looks at the time it takes to realize the value of a product, solution or offering. Time to insight is a key measure for how long it takes to gain value from use of the product, solution or offering.

Are B2B Marketers Leave Money on the Table by Ignoring B2C Data?

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.

High School Students Beat Trained Data Scientists at UC Berkeley, Solve Real Healthcare Problems with Aible AI in Minutes

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 […]

AnotherBrain Reveals a New Generation of Artificial Intelligence

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.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – February 2019

In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.

High Volume and Multi-source Analytics

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.

AI Goes Mainstream

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.

Strategies for Obtaining Patents on AI Inventions in the U.S. and Europe

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.

Who is Recruiting for AI?

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?