In marketing, 'creative impact' was once too subjective to measure. But with modern AI solutions, creative efforts can now be effectively analyzed. As part of The Drum's Creativity in Focus Deep Dive, Meta's Maria Pavlova (marketing science partner), Karen Chui (creative partner manager, EMEA) and Safia Dawood (marketing science partner) look at how AI tools can help marketing professionals develop more effective advertising strategies through creative effectiveness insights.

An AI robot that uses motion sensor technology to follow its owner around makes sure you'll never go thirsty. The BBQ is in full swing, the music's playing and you're nearing the punchline of a witty tale that you've been relaying for the last five minutes. The last thing you want right now is for people to start drifting off towards the fridge in search of a cold beer. This week, Heineken announced the release of its Beer Outdoor Transporter (B.O.T.); a clever green robot that looks and functions like a droid, using motion sensor technology to faithfully follow its owner around so that ice cold beer is never far from reach. Set on two large wheels and four smaller ones, the robot cooler can hold 12 beers at a time, plus a cargo of ice, and can rumble away happily over grass and concrete without a blip.

We live in a world where robots are increasingly common. There are chatbots on the company websites and machines that build cars and other equipment by themselves. More and more are the tasks that these agents can perform, and OCR is one of them. This article tells you what OCR is, its applications, and how your company's chatbots can use it. OCR stands for Optical Character Recognition.

Dutch brewing company Heineken is one of the largest beer producers in the world with more than 70 production facilities globally. From small breweries to mega-plants, its logistics and production processes are increasingly complex and its machinery ever more advanced. The global beer giant therefore began looking for robotics solutions to make its breweries safer and more attractive for employees while enabling a more flexible organisation. The environment is constantly changing and the robot has to be able to respond immediately. Automatically adapting to the situation Dennis van der Plas, senior global lead packaging lines at Heineken, says, "We are becoming a high-tech company and attracting more and more technically trained staff. Repetitive tasks – like picking up fallen bottles from the conveyor belt will not provide them job satisfaction."

Back in late 2017, Gartner analyst Nick Heudecker estimated that the failure rate of big data projects was 85%. Move the calendar forward two years and there's no solid evidence proving that the failure rate has improved in any meaningful way. But help may be on the way. A growing number of artificial intelligence experts are arriving at the conclusion that the technology has the potential to turn big data failures into resounding success stories. The trick lies in knowing how to use AI correctly.

It's certainly not under wraps that the craft beer industry is booming. In 1979, there were fewer than 50 craft breweries in the country. Today, over 6,300 craft breweries, brewpubs, and microbreweries exist. It's therefore of little surprise that the larger beer-makers are exploring new ways to compete with these craft beer industry trends. Artificial intelligence and predictive analytics are impacting all businesses today, and breweries are no different. The use of brewery analytics is emerging, and naturally, brewers with the largest amount of data have an advantage.

There are so many amazing ways artificial intelligence and machine learning are used behind the scenes to impact our everyday lives and inform business decisions and optimize operations for some of the world's leading companies. Here are 27 amazing practical examples of AI and machine learning. Using natural language processing, machine learning and advanced analytics, Hello Barbie listens and responds to a child. A microphone on Barbie's necklace records what is said and transmits it to the servers at ToyTalk. There, the recording is analyzed to determine the appropriate response from 8,000 lines of dialogue.

One of the most exciting features from the newest release of Visual Data Mining and Machine Learning on SAS Viya is the ability to perform Market Basket Analysis on large amounts of transactional data. Market Basket Analysis allows companies to analyze large transactional files to identify significant relationships between items. While most commonly used by retailers, this technique can be used by any company that has transactional data. For this example, we will be looking at customer supermarket purchases over the past month. Customer is the Transaction ID; Time is the time of purchase; and Product is the item purchased.