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Alegion Announces Next-Generation Training Data Platform for Enterprise AI Initiatives

Alegion, a training data platform for artificial intelligence (AI) and machine learning initiatives, announced the release of its next-generation platform with new features designed to enhance the quality and efficiency of large-scale machine learning initiatives and deliver model confidence for enterprise AI systems.

SAP Helps Business Users Make Fast, Confident Decisions with One Simple Cloud for All Analytics

SAP SE (NYSE: SAP) announced SAP Analytics Cloud is now available with new machine learning features to uncover correlations in an organization’s data and help users make faster, more confident decisions.

Neural Attention Please, or How Attention Models Can Work for You

In this contributed article, Mikhail Konstantinov, a Data Scientist at ELEKS, discussed the real and potential business uses of the neural attention – a mechanism that enabled machine learning algorithms to select and work with certain pieces of data at a certain moment.

Best of for AI, Machine Learning, and Deep Learning – August 2018

In this recurring monthly feature, we will filter all the recent research papers appearing in the 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.

Gain In-demand Cloud, Data, and Machine Learning Skills with the Full Google Cloud Suite of Learning Programs on Coursera

Online learning leader Coursera now offers the full Google Cloud suite of programs on their learning platform. Learners can enroll in Google Cloud courses and Specializations to access top-quality cloud training. All courses include free hands-on labs to provide practical experience.

How the Cloud is Changing Cybersecurity

In this contributed article, Amanda Peterson, co-founder of Enlightened Digital, points out that with the use of cloud-based security, the amount of time needed to implement security patches can be reduced to nearly nothing. Onsite data centers require tech-savvy manpower to oversee them 24/7, but the cloud operates autonomously, using AI and ML to monitor system operations to reduce the need for constant on-site personnel.

Infographic: The Benefits of Becoming Information Driven Using AI & Machine Learning

Our friends over at Sinequa have put together the infographic below, “The Benefits of Becoming Information Driven Using AI & Machine Learning,” to highlight how the modern enterprise can use AI and Machine Learning to provide actionable insight to enable intelligent automation and decision making.

Interview: Dan Zitting, Chief Product Officer, ACL

I recently spoke with Dan Zitting, Chief Product Officer at ACL about how companies can get in front of risk and increase the value of their data with the use of analytics, robotics and machine learning. He stressed that companies need to integrate data analytics and automation throughout the entire organization, rather than focusing on individual departments.

Explore How to Detect and Address Machine Learning, AI Bias

Alegion is fully aware of the potential for machine learning bias because as they produce AI training data, the company is on the lookout for biases that can influence machine learning. A new white paper from Alegion, “Four Sources of Machine Learning Bias,” explores the four sources of AI bias, and how to mitigate these challenges for your AI systems. 

“Above the Trend Line” – Your Industry Rumor Central for 8/20/2018

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.