I am giving a talk (in French) at the 85th edition of the ACFAS congress, May 9. I will discuss the engineering aspects of doing machine learning. But more importantly, I will discuss how Semantic Web techniques, technologies and specifications can help solving the engineering problems and how they can be leveraged and integrated in a machine learning workflow. The focus of my talk is based on my work in the field of the semantic web in the last 15 years and my more recent work creating the KBpedia Knowledge Graph at Cognonto and how they influenced our work to develop different machine learning solutions to integrate data, to extend knowledge structure, to tag and disambiguate concepts and entities in corpuses of texts, etc. One thing we experienced is that most of the work involved in such project is not directly related to machine learning problems (or at least related to the usage of machine learning algorithms). And then I recently read a survey conducted by CrowdFlower in 2016 that support what we experienced.

The concept has been around for decades and most of us use it everyday without thinking about it. However, AI represents the next wave in marketing innovation for tech marketers and will become more prevalent in 2017 and beyond. AI is a collection of technologies and algorithms that do things that require human intelligence such as learning, understanding natural language, image recognition and problem solving. A simple example is when someone calls your iPhone an algorithm searches your phone data for a possible match to identify the caller. Another common use case is bidding/optimization tools on programmatic ad platforms; and ad A/B testing is conducted by machine learning and AI tools.

Between January and February 2017, we've ranked nearly 2,000 Machine Learning articles to pick the Top 10 stories (0.5% chance) that can help advance your career. Topics included in this Machine Learning list are: NLP, Voice Recognition, Video Game AI, Tensorflow, Scikit-Learn, Translation, Neural Networks, Deep Learning, Reinforcement Learning and Artificial Intelligence. Mybridge AI ranks articles based on the quality of content measured by our machine and a variety of human factors including engagement and popularity. This is a competitive list and you'll find the experience and techniques shared by the leading data scientists particularly useful.

As marketers strive to engage in more meaningful conversations with their audience, understanding which words, phrases, sentences and even content formats resonate with particular audience members is key. Last year we saw progress in lexical analysis with the goal of finding content or text that drove overall marketing success. It did this by analyzing successful campaign content versus unsuccessful content. I believe 2017 will see that work get personalized by combining content analysis at the campaign level with content analysis at the individual level. The interconnected data makes it possible.

Artificial intelligence has become as meaningless a description of technology as "all natural" is when it refers to fresh eggs. At least, that's the conclusion reached by Devin Coldewey, a Tech Crunch contributor. AI is also often mentioned as a potential cybersecurity technology. At the recent RSA conference in San Francisco, RSA CTO Zulfikar Ramzan advised potential users to consider AI-based solutions carefully, in particular machine learning-based solutions, according to an article on CIO. AI-based tools are not as new or productive as some vendors claim, he cautioned, explaining that machine learning-based cybersecurity has been available for over a decade via spam filters, antivirus software and online fraud detection systems.

"Let us consider an augmented architect at work. He sits at a working station that has a visual display screen some three feet on a side, this is his working surface, controlled by a computer with which he can communicate by means of small keyboards and various other devices." This vision of the future architect was imagined by engineer and inventor Douglas Engelbart during his research into emerging computer systems at Stanford in 1962. At the dawn of personal computing he imagined the creative mind overlapping symbiotically with the intelligent machine to co-create designs. This dual mode of production, he envisaged, would hold the potential to generate new realities which could not be realized by either entity operating alone.

The line for the SXSW panel'Eyes in the Sky: The Future of AI and Satellites' snaked around many corners in Austin's JW Marriot Hotel – understandably, AI coupled with space shit, bring it on. Spaceknow Inc's CEO Pavel Machalek did most of the talking during this session. Spaceknow is a San Francisco based company building an AI system that can process the petabytes of data from the hundreds of commercial satellites circling us up above. Gary Vaynerchuk was so impressed with TNW Conference 2016 he paused mid-talk to applaud us. "We are digitizing the physical world, so we can build apps on top it," Machalek stated. According to the Czech CEO, we're currently going through a sea of change in how we use satellite data.

We are seeing today novel expressions of artificial intelligence (AI) which were just a while ago the stuff of sci-fi: autonomous vehicles, self-learning machines, fiction-writing programs which may win literary prizes. Yet, what if the AI goes awry? What if an autonomous vehicle malfunctions and damages your property? What if an AI robot hacks into a smart city's network and steals every citizen's personal data? Will our current legal liability rules give us satisfactory outcomes when applied to such scenarios?

The line for the SXSW panel'Eyes in the Sky: The Future of AI and Satellites' snaked around many corners in Austin's JW Marriot Hotel – understandably, AI coupled with space shit, bring it on. Spaceknow Inc's CEO Pavel Machalek did most of the talking during this session. Spaceknow is a San Francisco based company building an AI system that can process the petabytes of data from the hundreds of commercial satellites circling us up above. We're covering the weird and wonderful tech at SXSW, join us in the fun. "We are digitizing the physical world, so we can build apps on top it," Machalek stated. According to the Czech CEO, we're currently going through a sea of change in how we use satellite data.