Global Artificial Intelligence Conference on Apr 27 to Apr 29 in Seattle


Global Big Data Conference's vendor agnostic Global Artificial Intelligence(AI) Conference is held on April 27th, April 28th & April 29th 2018 on all industry verticals(Finance, Retail/E-Commerce/M-Commerce, Healthcare/Pharma/BioTech, Energy, Education, Insurance, Manufacturing, Telco, Auto, Hi-Tech, Media, Agriculture, Chemical, Government, Transportation etc..). It will be the largest vendor agnostic conference in AI space. The Conference allows practitioners to discuss AI through effective use of various techniques. Large amount of data created by various mobile platforms, social media interactions, e-commerce transactions, and IoT provide an opportunity for businesses to effectively tailor their services by effective use of AI. Proper use of Artificial Intelligence can be a major competitive advantage for any business considering vast amount of data being generated.

Artificial Intelligence and the Future of Online Content Moderation


Yesterday in Berlin, I attended a workshop on the use of artificial intelligence in governing communication online, hosted by the Humboldt Institute for Internet and Society. In the United States and Europe, many platforms that host user content, such as Facebook, YouTube, and Twitter, have enjoyed safe harbor protections for the content they host, under laws such as Section 230 of the Communications Decency Act (CDA), the Digital Millenium Copyright Act (DMCA), and in Europe, Articles 12–15 of the eCommerce Directive. Some of these laws, such as the DMCA, provide immunity to platforms for copyright damages if the platforms remove content based on knowledge that it is unlawful. Section 230 of the CDA provides broad immunity to platforms, with the express goals of promoting economic development and free expression. Daphne Keller has a good summary of the legal landscape on intermediary liability.

Machine Learning in Retail: Maximizing Sales


You are in charge of the go-to-market strategy for new SAP solutions for retail. Amazon Go shows that stores do not need staff. Are machines about to take over in retail? I think we first need to see how Amazon's model works in practice. In certainly shows what machine learning can do.