We get asked a lot of questions about how to start building with Watson, so we decided to compile our top 4 Frequently Asked Questions. You can use this as a guide to learn more about the technology, receive inspiration from use cases, get valuable resources, and ultimately begin building with the technology. Cognitive technology's strength lies in its ability to draw insights from unstructured data sets. Structured data is found in a spreadsheet, whereas unstructured data is text such as tweets, medical journals, etc. Today 80% of data is unstructured, so tools such as cognitive computing are becoming more important in helping humans understand what's inside that data.

IBM has teamed up with an electric vehicle company to put its Watson artificial intelligence into a driverless electric bus. Dubbed Olli, the autonomous vehicle will be used to take passengers around Washington DC, and is the brainchild of Local Motors, the Arizona-based automaker. It said its bus is the first vehicle to use IBM Watson's car-focused cognitive learning platform, Watson Internet of Things (IoT) for Automotive. Local Motors unveiled the bus at its new facility in National Harbor, Maryland, 12 miles from the US capital. The bus itself is 3D-printed and can carry up to 12 people and is powered by an electric motor.

Local Motors, well known for the crowdsourced Rally Fighter off-road coupe, has been diversifying lately. After starting some 3D-printed projects, it has gone in yet another direction, announcing the Olli, an electric minibus that looks like a large phonebooth that's been tipped on its side. Local Motors refers to the vehicle as a shuttle it will transport up to 12 people from location to location along a pre-set route. The plan is to allow an Olli to be summoned using an app or a kiosk. It uses lidar, cameras, and GPS to move along its route, making adjustments as needed to avoid collisions.

Olli will be exclusive to DC these next few months, but Miami and Las Vegas will get their own in late 2016. Local Motors is also in talks to test the bus in cities outside the US, including Berlin, Copenhagen and Canberra. It's unclear if anyone can get the chance to ride one, since these are merely trial runs, but you can ask local authorities if the EV makes its way to your city. If and when the time comes that driverless public vehicles can legally shuttle passengers, you'll be able to summon an Olli through an app, just like Uber. And if Local Motors' plans pan out, a lot of people around the globe will be using that app: Company co-founder John Rogers envisions building hundreds of micro-factories all over the world that can 3D print an Olli within 10 hours and assemble it one.

IBM has teamed up with Local Motors, a Phoenix-based automotive manufacturer that made the first 3D-printed car, to create a self-driving electric bus. Named "Olli," the bus has room for 12 people and uses IBM Watson's cloud-based cognitive computing system to provide information to passengers. In addition to automatically driving you where you want to go using Phoenix Wings autonomous driving technology, Olli can respond to questions and provide information, similar to Amazon's Echo home assistant. The bus debuts today in the Washington D.C. area for the public to use during select times over the next several months, and the IBM-Local Motors team hopes to introduce Olli to the Miami and Las Vegas areas by the end of the year. By using Watson's speech to text, natural language classifier, entity extraction, and text to speech APIs, the bus can provide several services beyond taking you to your destination.

The Mad Men era of advertising is long behind us, but some of its lessons are timeless: not least those imparted by David Ogilvy, the founder of Ogilvy & Mather, who was once described by Time magazine as "the most sought-after wizard in today's advertising industry". That was in 1962, but even today, 17 years after his death, Ogilvy remains one of advertising's most revered minds, universally acknowledged as the father of modern advertising and credited with pioneering a unique style of ad that didn't insult the intelligence of the individual. But what could today's advertising leaders, or indeed those just starting out on their advertising careers, learn from Ogilvy? The Drum decided to find out, teaming with IBM's Watson to analyse Ogilvy's myriad writings and talks to draw out insights and advice. A man of many words, Ogilvy became the authority on advertising in his day, penning a number of books on the subject and representing the industry in numerous TV and newspaper interviews.

We've been hearing a lot about artificial intelligence and machine learning lately. From the big screen to Netflix, AI is a popular theme in Hollywood. Its most exciting developments, however, are in the real world, where tremendous strides in creating human-like cognitive capabilities are tackling real challenges. The goal is neither self-awareness nor autonomy. Rather, the forefront of cognitive computing is advanced systems that learn at scale, reason with purpose and interact with us naturally.

The Drum has released the first magazine edited using artificial intelligence (AI) following a partnership with IBM Watson to create the special issue. The magazine, published today (15 June), includes a number of features that involved the analytical functions that IBM's AI can provide in order to examine the role such technology can provide to modern day marketers. These will be available to match and play against other opponents through a specially created new online app. Those without a card will also be able to challenge other marketers in the industry by logging into the app and comparing their scores with further competitors. Watson has also been trained to answer questions put to it by industry luminaries around the insights of advertising legend David Ogilvy and a number of predictions around potential winners at Cannes Lions this year have also been made by the AI.

That dream of universal expertise is what IBM says its Watson question-answering, machine-learning system makes possible. Watson can be trained to answer questions on any subject you choose. The system uses natural language processing to read huge numbers of documents, extracts and organises information about a particular topic and then refines its understanding of that subject based on human feedback. But how useful are the answers given by Watson and how difficult is it to train? One person who's well-placed to talk about using the Jeopardy!-winning

"The models used in this pilot will be designed to continue to evolve according to a user's nutrition and activity habits along with other contextual information, which may improve the ability of Watson to predict glycemic excursions and other trends through the Medtronic app," said Annette Bruls, president of Medtronic's global diabetes service and solutions unit, during the CES conference earlier in 2016.