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Four Sources of Machine Learning Bias

As a company that specializes in training AI systems, we know only too well that AI systems do precisely what they are taught to do. Models are only as good as their mathematical construction and the data they are trained on. Algorithms that are biased will end up doing things that reflect that bias.

Melding The Minds: Why Humans & AI Make Perfect Partners

In this contributed article, Imaginea Ai Co-founder & CEO Nav Dhunay discusses what’s in store for humanity after the AI revolution. While it’s hard to predict the future, there’s good reason to believe that our relationship to AI will be far more positive than many people assume. The development of more advanced AI has the potential to make humanity even more important, all while expanding what we can achieve.

Ready, set, fail? Avoiding Setbacks in the Intelligent Automation Race

Corporate plans for AI likely to fail? A new study, “Ready, set, fail? Avoiding Setbacks in the Intelligent Automation Race” from our friends over at KPMG asserts that most corporate artificial intelligence projects underway or currently in the pipeline will fail.  This is based on the following findings: The survey of 90 industry leaders found […]

Best of arXiv.org for AI, Machine Learning, and Deep Learning – July 2018

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.

Dell EMC Accelerates Artificial Intelligence Adoption for Digital Transformation

Dell EMC announces the availability of new Ready Solutions for AI, with specialized designs for Machine Learning with Hadoop and Deep Learning with NVIDIA. The Dell EMC Ready Solutions simplify AI environments, deliver faster, deeper insights than the competition, and leverage Dell EMC’s proven expertise to help organizations realize the full potential of AI.

Automation: How Can It Affect Your Company?

In this contributed, Anthony Coggine, HR professional turned business analyst, discusses the importance of artificial intelligence and automation in terms of how the technology can affect your company.

Where Do World Leading Companies Get Their AI Expertise From?

In this contributed article, Anna Klimenko, a technical writer at Greenice, discusses a topic on the mind of many companies – how to find AI technology talent. With the deficiency of AI specialists, there are several ways to build AI expertise in a big company. The most prominent university students, graduates and professors become targets for headhunters. Hiring rare specialists, educating own employees, acquiring AI startups and creating ML-as-a-service systems are the main methods that allow companies to get artificial intelligence expertise.

Using Artificial Intelligence to Build Lifelong Customer Relationships

In this contributed article, Anthony Smith, Chief Executive Officer and Founder of Insightly, reviews the long history of customer relationship management (CRM) applications, and discusses how CRM must get closer to the customer, and also grow smarter – where AI will serve as a key component of this evolution.

How to Leverage AI Without Losing Your Humanity

Our friends over at Salesforce Canada developed the compelling infographic below “How to Leverage AI Without Losing Your Humanity,” that explains how AI is helping companies. Consumers are optimistic about AI, and over half believe it will have a positive impact on their personal lives. Many are still learning what it is, but companies are already using it to help them.

AI in the Sharing Economy

The infographic below was developed by our friends over at Greenice to demonstrate how Uber, Airbnb, and Etsy use AI to improve customer experience and streamline their businesses. Topics include 5 ways Uber, Airbnb, and Etsy use AI.