The Ultimate Beginner's Guide to AI in Marketing
This guide will help you understand AI and how to use it in your marketing—fast.
Videos On AI
There are countless ways to think about and approach AI, once you have a solid understanding of what it can do.
Learn more about what’s possible with the following videos from technology leaders.
Artificial Intelligence in Digital Marketing: Episode 1
Paul Roetzer, Marketing AI Institute
In this video, Marketing AI Institute founder Paul Roetzer and Kevin Walsh, product manager of machine learning at HubSpot, discuss: 1) How would you define artificial intelligence and machine learning? 2) What are some examples of AI at work in our daily lives? 3) What is the role and state of AI in marketing, sales and service technology today?
Artificial Intelligence in Digital Marketing: Episode 2
Paul Roetzer, Marketing AI Institute
In this video, Marketing AI Institute founder Paul Roetzer and Kevin Walsh, product manager of machine learning at HubSpot, discuss: 1) What are the reasons marketers should consider AI? 2) How does HubSpot think about AI in its platform? 3) What can marketers learn about AI from using Gmail?
The Jobs We’ll Lose to Machines—and the Ones We Won’t
Why we like it: In 2013, a study out of Oxford University predicted that almost one in every two jobs had a high risk of being automated. Unfortunately, many people believe that their livelihood will be stolen by robots and machines—Goldbloom is here to remind us that isn’t necessarily the case. After all, machines excel at the repeatable, but they can’t outperform humans in novel situations.
What AI Is — And Isn’t
Sebastian Thrun and Chris Anderson
Why we like it: Related to Goldbloom’s talk, Thrun reiterates that machines excel at repetitive work and we shouldn’t be afraid of AI. Rather, we should embrace the opportunity to explore more creative outlets while machines take on the more tedious tasks. This interview-style discussion is rich with interesting examples and firsthand experiences, making Thrun’s vision palpable.
4 Ways to Build a Human Company in the Age of Machines
Why we like it: AI isn’t exactly known for being empathetic—As Leberecht puts it, machines “have no appreciation whatsoever for the unnecessary, the intimate, the incomplete and definitely not for the ugly.” But for our society to remain quintessentially human in the age of AI, these imperfections are necessary. For businesses embracing AI and machine learning, reminders like this are key to remaining authentic.
How We Can Build AI to Help Humans, Not Hurt Us
Why we like it: This talk is all about the weaknesses within AI and how we can help computers evolve to eliminate harmful biases and blind spots. Mitchell gives a poignant example of showing a machine learning program images of a house fire, to which it replied, “This is an amazing view! This is spectacular!” This particular blind spot arose because the computer had never been trained on high-contrast, red and orange photos of negative events, only positive. This anecdote and more paint a picture of how we can help AI evolve to create a better outcome.
How AI Can Enhance Our Memory, Work and Social Lives
Why we like it: As the co-creator of Siri, Gruber pulls from decades of experience with AI. In this talk, he explores how the AI of the future could impact things like humans’ ability for memory recall, bettering everything from interpersonal relationships to the detrimental effects of dementia. Watch along to see his vision for smarter machines and, subsequently, smarter humans.
Can a Computer Write Poetry?
Why we like it: Schwartz has a strong background in writing about the intersection of technology and human culture, and he draws upon that in this exploration of why humans react so strongly to the notion of a computer writing poetry. He explains that machines reflect back to us what we give to them—so we must pause and think about what idea of “the human” we want machines to reflect back at us.
Machine Intelligence Makes Human Morals More Important
Why we like it: While a more cautionary tone than what we typically read and watch, this is a fascinating look at the ways AI fails, and what it means for the humans operating it. AI doesn’t follow human error patterns; so it’s hard to understand exactly what the machines are leaving out when they make decisions. For these reasons, it’s more important than ever to “ own up to our moral responsibility to judgment, and use algorithms within that framework,” as Tufecki puts it.
We’re Building a Dystopia Just to Make People Click on Ads
Why we like it: Tufecki tackles a difficult topic head-on in this incredibly important talk. While we’re used to being targeted by online ads, we may not be aware of just how deep AI algorithms can go, if those in charge of them don’t act ethically. These types of challenges impact our broader world and it’s vital that AI trailblazers understand the risks.
AlphaGo – The Movie
Why we like it: This documentary film takes you from the halls of Cambridge, through the backstreets of Bordeaux, past the coding terminals of DeepMind in London and to the tournament in Seoul to witness one of the biggest breakthroughs in AI—a five-game match of Go that Lee Sedol played against an algorithm.