This is a particularly tough time for broadcasters and service providers. There's more competition than ever before thanks to instant streaming and on-demand viewing, and each company is in a battle for the best content. Pay TV operators have built enormous on-demand catalogues, and broadcasters are expanding their online services with more library content and short-form video. The ultimate goal for each company is to draw in as many viewers as possible, and ultimately to keep them engaged for as long as possible, too. But, with an ever-expanding sea of content in front of them, it's getting more difficult for viewers to choose what they want to watch.

I'm proud and excited to share that Kaggle is joining Google Cloud! Seven years ago, we launched our first ever competition, to predict the voting patterns for the Eurovision Song Contest. It was won by Jure Zbontar, who beat 21 teams to win the $1000 prize. Since then, the Kaggle community has used machine learning to grade high school essays, diagnose heart failure and increase the discovery significance of the Higgs Boson. Geoff Hinton and George Dahl showed the power of deep neural networks on a Merck competition and Tianqi Chen used Kaggle Kernels to introduce the community to XGBoost. Kaggle profiles have become a well recognized credential, with community members landing jobs at companies ranging from DeepMind to Walmart.

It may sound like Władziu Valentino Liberace himself, but the piano is being played by a robot. Arpeggio, the'Piano SuperDroid', is designed to roll up to any piano and align itself on the right keys and foot pedals. The machine is capable of playing with over 1,000 levels of individual keynote expressions and 256 pedal positions – and it reproduces human piano performances just as they were recorded. Arpeggio, the'Piano SuperDroid', is designed to roll up to any piano and align itself with the right keys and foot pedals. Arpeggio is a piano SuperDroid that can roll up to any piano and set itself up so its'fingers' are on the right keys. It also has extensions at the bottom that lets it press the necessary pedals.

Customer Engagement approaches, and the technology used to enable them, have evolved immensely over the last 25 years. Two distinct eras define this period, as well as a major technological shift to real-time systems with AI feedback loops. The BI Guesswork Era During the advent of the Business Intelligence (BI), Marketing Technology and Campaign Management era (circa 1990), marketers had limited predictive powers. In many cases, when it came to what individuals really needed, they resorted to guesswork. They channeled their energy to perfect efficiencies in targeting and automation.

Machine learning is taking on Hollywood's gender bias. Technology that automatically detects how often men and women appear on screen reveals that in recent popular films, men have had almost twice as much screen time as women. The software uses algorithms for face and voice recognition that have been trained on annotated video to identify whether a character is male or female, and can measure how long they are on screen to a fraction of a second. It was developed by Shri Narayanan at the University of Southern California, Los Angeles, in partnership with the Geena Davis Institute on Gender in Media and Google.org, the search engine's charitable arm. In an analysis of the 100 highest-grossing live-action films from each of the past three years, the software found that women appear on average for just 36 per cent of the total time that characters are on screen.

Now they look to the sea. Drones capable of underwater operation are little more than novelties at the moment, but the technology could advance marine research, revolutionize undersea cinematography, and let anyone explore places even experienced divers cannot reach. A handful of companies are leading this leap into the water. PowerVision, a Chinese robotics firm with 10 offices around the world, introduced its PowerRay underwater drone earlier this year. OpenROV of Berkeley, California, staged a successful crowdfunding campaign for the Trident, its remotely operated vehicle. These machines offer only limited practicality, but point the way to a future where consumer drones do all sorts of things beneath the waves.

In 2011, IBM sent its supercomputer Watson onto the popular American TV quiz show Jeopardy where it succeeded in matching wits with and beating two of the TV show's most successful players. That was over five years ago, but if you ask members of the public to describe IBM Watson, those in the know will say that it's a huge great black mainframe computer that's incredibly smart. Yet according to IBM, that's where you'd be wrong – the computing giant is adamant that the future of artificial intelligence will not be one big scary digital brain, and technology is definitely not going to kill us off one day. "When IBM Watson first came out, we used to think about it as a giant brain in a jar, but it's not that," John Cohn, an IBM Fellow in the IBM Watson Internet of Things (IoT) division tells IBTimes UK while showing us around IBM's new global IoT headquarters in Munich, Germany. "It's a bunch of tools that you can use to compose systems that interact naturally with humans, learns from their situation, adapting and then applying that knowledge. It's not an easy philosophy to apply, but it can bring benefits to so many different industries."

Wednesday's Google Doodle features a lot of firsts: The first Turkish woman to compete in the Olympics. Those heroes would be Halet Çambel and Ada Lovelace, respectively. The illustration, marking International Women's Day 2017, also features the first woman in Argentina to receive a medical degree, Cecilia Grierson, and Korea's first female judge, Lee Tai-young. According to Google, the search image depicts a girl whose grandmother is sharing the life stories of 13 exceptional women in history around the world. Also among the inspirational women featured are Ida Wells, the American journalist and civil rights activist, Lotfia El Nadi, Egypt's first female pilot, and Miriam Makeba, the South African singer and civil rights activist.

As you probably know by now, the star of upcoming film Oceans 8 is also incredibly funny. She's known for clowning around on set, hit the stage for some drag queen-style lip syncing and swearing like a sailor. Blanchett proved once again that she deftly walks the line between profound and absurd when she visited The Late Show over the weekend. Describing the Chekov play she's currently in on Broadway, she said "It's all about as you move forward in life, what's your moral compass. Where does kindness and humanity sit in a really brutal world."

This paper is a tutorial on Formal Concept Analysis (FCA) and its applications. FCA is an applied branch of Lattice Theory, a mathematical discipline which enables formalisation of concepts as basic units of human thinking and analysing data in the object-attribute form. Originated in early 80s, during the last three decades, it became a popular human-centred tool for knowledge representation and data analysis with numerous applications. Since the tutorial was specially prepared for RuSSIR 2014, the covered FCA topics include Information Retrieval with a focus on visualisation aspects, Machine Learning, Data Mining and Knowledge Discovery, Text Mining and several others.