AT&T-Time Warner merger approved with no conditions. Media consolidation will only accelerate from here

Workers may have to choose between being replaced by a robot or being treated like one econ.st/2sWGbyX

Imagine seamlessly visiting any place in the world from your home - with #5G you can! Visit us at #5GWorld and experience the historical Pietro Micca Museum using #virtualreality. m.eric.sn/8QPE30kukqh

Our new Online #Banking Report is out! Discover the latest trends and behavioral patterns impacting the banking sector in Europe: ow.ly/xnq430kuZx0.

Natural Language Processing (#NLP) and artificial intelligence (#AI) are the next transformative forces for marketing. Machine learning will empower digital marketing and programmatic adveritsing with #bigdata: ibm.com/cloud/watson-n… …. Read also: Verizon Media, @DeloitteBA, Intel AI

Chatbots, when enabled by artificial intelligence (#AI) and machine learning, will be extremely helpful for certain industries in the age of #Bigdata: ibm.com/blogs/watson/2…

Mastering unstructured #bigdata with machine learning and natural language processing (#NLP). #Java, #Python, Stata, #R etc.. I use a Java-based tool by Stanford NLP Group. Its deep learning for sentiment analysis is useful: stanfordnlp.github.io/CoreNLP/. Note scikit-learn is in #python

We need a Goldilocks Rule for AI: - Too optimistic: Deep learning gives us a clear path to AGI! - Too pessimistic: DL has limitations, thus here's the AI winter! - Just right: DL can’t do everything, but will improve countless lives & create massive economic growth.

Two machine learning methods for sentiment analysis are useful. One is #DeepLearning, for which Stanford NLP Group provides a Java implementation nlp.stanford.edu/sentiment/. Another is #MaxEnt, i.e., maximum entropy, a good classifier for textual #bigdata of brand user generated content.

Natural language processing (#NLP) is a subfield in artificial intelligence (#AI). Many #MachineLearning approaches are available for #NLP. #NLP is useful in analysis of #bigdata, augmented reality (#AR) and #IoT: medium.com/@Namenode5/the….

The power of machine learning in healthcare analytics: the potential value of big data in predicting, preventing and curing disease. Precision health: scopeblog.stanford.edu/2018/05/08/cou…

Jack Ma of Alibaba Group believes that Artificial Intelligence threatens human beings: businesstoday.in/technology/new…. Jack's points seem to be at odds with some of top #AI and machine learning researchers in #bigdata.

Named entity recognition is easy for humans and hard for machines. Correctly recognizing brands, companies and services is critical in marketing research that uses textual #bigdata. CoreNLP by Stanford NLP Group fulfills several advertising research needs well: stanfordnlp.github.io/CoreNLP/

Big Four accounting companies invest huge in artificial intelligence: (old news, but still current): computerworld.com/article/304253…

The legendary @zoom_us: cnbc.com/video/2019/04/…

The dark side of artifiical intelligence: Researchers create 'malicious' writing AI bbc.com/news/technolog…

News & Views: A paper in Nature outlines an approach that brings us closer to a brain–computer interface that can restore speech function. go.nature.com/2UXgHRS

Success in the sciences does not always breed more success econ.st/2Vujy5p

Yesterday, Chair of Morgan Stanley’s Quantitative Council Marty Leibowitz sat down with Andrew Lo, Director of the MIT Laboratory for Financial Engineering, to speak about the future of quant and how fundamental research continues to be enhanced by AI and machine learning.

How do algorithms and bots affect election outcomes? New paper on automated political communication in the 2016 US election out now in the Journal of Information Technology and Politics! Read on: tandfonline.com/doi/full/10.10… @pnhoward @samuelwoolley #TechNews #politics