- We’ll stick to playing rock-paper-scissors with AI, but all of this is leading to some serious visibility for AI as an emerging technology – which as investors make us want to get some skin in the game.
- The recent news that artificial intelligence (AI) startup Afiniti may have confidentially filed for IPO was the first time that we started to feel like this thing might be revving up for real now.
- It wasn’t just because this would be the first pure-play AI startup to see an IPO, it was because we really couldn’t believe how effective Afiniti’s technology was in adding value.
- Secondly we’re also seeing a very large number of AI startups getting into the game (over 1,500) which is the same sort of pile-on mentality we saw in the dot-com era.
- Now you just add a tagline to that same website that says “powered by AI” and now you’re an “AI company”.
If you’ve played Texas Hold’em, then you know how tough it is to be a good poker player. Lots of venture capitalists like to play poker, so it wasn’t surprising to see one who thought to himself “let’s see how good artificial intelligence (AI) really is“. He consulted a team of engineers and computer scientists to see where they might be able to exploit the AI agent named Lengpudashi. They then played 36,000 hands over 5 days and the AI agent kicked the isht out of them. We’ll stick to playing rock-paper-scissors with AI, but all of this is leading to some serious visibility for AI as an emerging technology – which as investors make us want to get some skin in the game. The problem is, there aren’t many ways to do that yet.
Continue reading “Is Artificial Intelligence the Next Dot-Com Bubble?”
- (You knew we were…
Anyone who has ever had to justify social media spend will appreciate that it feels good to have figures to cling to.
- We know that a lot of the value is relatively intangible – it’s about sentiment, awareness, relationship…
Snapchat is, relatively speaking, one of the newbies on the social media block.
- “Is that the one that people use to send dirty pictures when they’re…
When you think of social channels like Facebook, what do you picture?
- Is it people over sharing feelings and pictures of their children?
IoT Central covers: Infrastructure, Application Dev, Data Security and more.
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- USHERING IN AN ERA OF DISAPPEARING TECHNOLOGY
- Deploy AI well across company interfaces, and customers no longer need to understand complicated technology to use it: they can simply talk to, gesture at, or touch the AI that controls it.
- AI is the new UI: Experience Above All
- Moving beyond a back-end tool for the enterprise, artificial intelligence (AI) is taking on more sophisticated roles within technology interfaces.
See how Artificial Intelligence plays a wide range of increasingly sophisticated roles in creating better customer interactions at the user interface (UI).
Continue reading “AI as the new UI – Accenture Tech Vision”
- Snap’s expected IPO coming sometime next year will likely keep a fire lit under Snap to further innovate.
- While GBB campaigns are still charged on a CPM basis, Snap says the campaigns end up being more effective.
- Snap has also been making a big push to improve measurement.
- Snapchat is adding ways to optimize campaign performance with the help of machine learning.
- According to CBInsights , Snap Inc. acquired four patents in 2016, and while it’s nowhere near the 16 it received in 2015 or the 18 it received in 2014, it’ll likely need to keep innovating next year.
Snapchat is adding ways to optimize campaign performance with the help of machine learning. Earlier this month, Snap Inc. began rolling out what it calls Goal-Based Bidding (GBB). The option, available to marketers buying ads through Snapchat’s API, uses machine learning to know which users are most likely to swipe a certain type of ad.
Continue reading “Snapchat Is Beginning to Use Machine Learning to Improve Ad Targeting”
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- The talk was presented at an official TED conference, and was featured by our editors on the home page.
“The actual path of a raindrop as it goes down the valley is unpredictable, but the general direction is inevitable,” says digital visionary Kevin Kelly — and technology is much the same, driven by patterns that are surprising but inevitable. Over the next 20 years, he says, our penchant for making things smarter and smarter will have a profound impact on nearly everything we do. Kelly explores three trends in AI we need to understand in order to embrace it and steer its development. “The most popular AI product 20 years from now that everyone uses has not been invented yet,” Kelly says. “That means that you’re not late.”
Continue reading “Kevin Kelly: How AI can bring on a second Industrial Revolution”
- The move comes on the heels of Uber’s acquisition of A.I. startup Geometric Intelligence for an undisclosed amount.
- Uber is no longer just dabbling in artificial intelligence – it’s going all in.
- With a $70 billion valuation, Uber is aggressively trying to prove that it’s no longer just a ride-sharing platform.
- Uber will absorb all of Geometric’s employees, including renowned machine learning researcher Zoubin Ghahramani and deep learning expert specializing in evolutionary algorithms Jeff Clune .
- Otto founder Lior Ron said he could improve the truck’s self-driving features using Uber’s driving data to build on its A.I. technology.
Uber bought AI startup Geometric Intelligence, further moving into artificial intelligence and machine learning.
Continue reading “Uber Just Bought a Startup You’ve Never Heard Of. Here’s Why That’s Important.”
- Apply predictive intelligence to every business decision.
- We’ve got 50 percent of our conversations in branch driven by data.
- Harness a single, intelligent decision authority that unifies decision management consistently and coherently across all channels.
- Personalize every action across all channels to maximize the value of each decision.
- Self-learning models fueled by contextual data improve inflight interactions in real-time.
Use customer and buyer behaviors and analytics to predict the next best action for their experience using Pega’s Customer Decision Hub.
Continue reading “Customer Decision Hub: Predicting Buyer Behavior”