The 2018 European Meeting of the International Society for Medical Publication Professionals (ISMPP) was held in London on 23–24 January and attracted nearly 300 delegates; the highest number of attendees to date. The meeting’s theme was ‘Advancing Medical Publications in a Complex Evidence Ecosystem’ and the agenda centred around data transparency, patient centricity and the future of medical publishing. Delegates were treated to two keynote addresses, lively panel discussions, interactive roundtables and parallel sessions, and also had the chance to present their own research in a poster session. Continue reading “Meeting report: summary of day 1 of the 2018 European ISMPP Meeting”
Google today announced plans to expand its investments in France, including its intention to create a new AI research team, its second such research initiative in two months after opening an AI center in China. Continue reading “Google forms AI team in France for health, science, and art research”
There’s never a shortage of fascinating scholarship in the digital news/social media space. This year, we’re spotlighting 10 of the most compelling academic articles and reports published in 2017, which delve into meaty topics such as venture-backed startups, artificial intelligence, personal branding, and the spread of disinformation. We conferred with a small group of scholars to pick the ones we think you’ll want to know about — and remember, this is just a sample. A big thank you to everybody who contributed suggestions on Twitter.
Amazon’s Alexa is leading the AI assistant pack. Echo devices are dominating smart speaker sales, and that was before Amazon brought the devices to more than 80 nations around the world. To defend its crown, Amazon moved fast this year to outpace competitors like Google Assistant and Microsoft’s Cortana. Apple’s delayed HomePod is due out next year, while Samsung and Facebook are also reportedly planning to debut smart speakers. It can be challenging to keep up with all the features Alexa has added to stay ahead of some of the largest tech companies on the planet, so here’s a rundown of everything Alexa learned to do this year. Continue reading “Everything Amazon’s Alexa learned to do in 2017”
As marketers look into 2018, they see the conversational AI landscape is primed for increased consumer adoption. In fact, in a recent survey, nine out of ten people said they prefer messaging directly with a brand. This year, Apple, Facebook, Google, and Amazon all lean-in to messaging and conversation. In 2018, the big four will make conversational AI the main gateway to communicate with the customer.
Consumers and brand marketers will see an uptick in the following areas: Continue reading “4 predictions for conversational AI in 2018”
It’s difficult to overstate the speed of technological progress, and equally difficult to comprehend the extent of its sophistication and efficiency. In a single day, we now process as much data as we did in a month only a decade ago. With a revolution unfolding at such a breakneck pace, questions have naturally arisen as to how technology, especially artificial intelligence (AI), will affect the workplace – and our way of life. If it can impact everyone from taxi drivers to attorneys, what sort of world will we see, even in just a few years? Do we need to fear AI? Continue reading “Should we be afraid of artificial intelligence?”
We’ve all heard of the Innovator’s Dilemma. Should a business give customers what they think they want, or take a leap of faith and introduce new products or services? Even if the new product or service is of groundbreaking quality, deviating from what consumers are used to can be risky…
This week I’m rounding off the first semester of classes on the new MA in Data Journalism with a session on artificial intelligence (AI) and machine learning. Machine learning is a subset of AI — and an area which holds enormous potential for journalism, both as a tool and as a subject for journalistic scrutiny.
So I thought I would share part of the class here, showing some examples of how the 3 types of machine learning — supervised, unsupervised, and reinforcement — have already been used for journalistic purposes, and using those to explain what those are along the way. Continue reading “Data journalism’s AI opportunity: the 3 different types of machine learning & how they have already been used”
John McCarthy first coined the term “artificial intelligence” (AI) in 1956 at a conference in Dartmouth. AI means that machines can mirror the functions of the human brain in various applications such as problem-solving in Mathematics. Since then, interest in AI has grown exponentially over the years. Recently, Apple published an AI paper of its…
When humans develop their own cognitive abilities, it’s called “natural intelligence.” When computers begin to think like humans, it’s “artificial intelligence” (AI).
About a year ago, the New York Times featured a section on The Great A.I. Awakening, showcasing Google’s mission to transform its Translate service with AI. Continue reading “Artificial intelligence: Transforming the workplace and world”
In the 20 years I’ve covered the great digital transition, empty buzzwords and phony trends have been the rule, not the exception. Bullshit is not a byproduct of a startup economy of building scale before substance; it is actually a doctrine.
And yet, in this past year there have been some trends that almost certainly will have a deep impact on the survivability of media businesses into the future. Here I explore some of these trends and try to cast a little insight as to why they matter, and how they might continue to shakeup the landscape as we look ahead to 2018. Continue reading “Believe the Hype: The Most Buzz-Worthy Trends of 2017”
I’ve spent the better part of the last decade investigating the impact of digital media and technology on culture from an academic perspective. I have conducted my own qualitative research and devoured nearly every book, article, tweet, post or link I could find on the subject. I’m as interested as any person who can’t do the math could possibly be in what’s going on at the forefront of computer science. Especially as it pertains to its impact on us as humans.
When I got a call from Tricia Mayer, Director of Online Engagement for Microsoft Research, asking if I’d be interested in hosting a new podcast about the most enigmatic division at Microsoft, I was elated. These were the very people I had always wanted to talk to and now I had the opportunity to interview them in person, for the rest of the world to hear as well. Continue reading “New Microsoft Research Podcast invites you to log on, tune in and geek out”
Episode 2, December 4, 2017
When it comes to artificial intelligence, Dr. Eric Horvitz is as passionate as he is accomplished. His contributions to the field, and service on the boards of nearly every technical academy and association in the country, have earned him the respect – and awe – of his colleagues, along with the position of Technical Fellow and Managing Director of Microsoft Research. Dr. Horvitz talks about the goal of artificial intelligence, his vision for our collaborative future with machines, what we can learn from the Wright brothers, and how a short stint of “six months, maximum” became an illustrious and, in his words, joyful, 25-year career at Microsoft Research Continue reading “AI and Our Future With Machines with Dr. Eric Horvitz”
Amazon is bringing its AI assistant to the workplace with a new service called Alexa for Business. The news was announced today by Amazon CTO Werner Vogels onstage during the keynote address at the AWS re:Invent being held this week in Las Vegas. Continue reading “Amazon launches Alexa for Business platform, bringing voice services to the office”