Goto

Collaborating Authors

 SPE


100 people to watch in the chatbot space

#artificialintelligence

This is my personal top 100 for people to watch in the bot space. Let me know who you think I'm missing and please provide me with additional information. Thanks to everyone who helped me curate this list. Now let's get straight to the point! Please note, I made this list out of my personal preferences.


Artificial Intelligence has key role in Internet of Things - The Sunday Business Post

#artificialintelligence

Finding a way to adequately serve firms in the internet of things (IoT) space is the next area customer relationship management (CRM) providers need to target, according to electronics giant Schneider Electric. "We want to make the IT and IoT world converge with a lot of customer context. If you have a lot of data generated without context, you cannot sell to a customer in a great way. It's about connecting the dots so you better know the usage of buildings and devices," Christophe Blassiau, senior vice president for customer experience and CRM at Schneider told the Sunday Business Post. Blassiau made the comments at Dreamforce, Salesforce's annual gathering in San Francisco which is attended by 170,000 people.


"Google Assistant" Is Not a Good Name for Google's Assistant

#artificialintelligence

"Google" is a great name. Twenty years ago it was a playful, made-up word (a riff on "googol," which is the number 1 followed by 100 zeros). But it's time to let Google go. We've already witnessed the unfortunately named Google Play Music All Access, Google Videos, and Google, among many others. The latest victim of this stubborn branding strategy is the company's digital assistant.


10 Artificial Intelligence Apps For SMBs - CXOtoday.com

#artificialintelligence

The era of Artificial Intelligence [AI] has certainly redefined work in many industries. It has already proved to be effective at automating repetitive tasks that salespeople, HR specialists, and CXOs would otherwise spend more time and effort. For SMB business owners, these AI apps can bring tremendous gain to their operational processes and workflows, as they can now spend more time growing their businesses. Researchers and scientist have presented AI tools to solve a specific problem, one that uses datasets in order to learn and replicate information and behaviors. Going forward, AI will bring new opportunities for industries, starting new company, creating jobs and eventually bring changes in the workplace.


Andrew Arruda of ROSS Intelligence: "We Want to Assist Every Lawyer in the World"

#artificialintelligence

After graduating with a law degree from the University of Saskatchewan, Andrew identified a problem amid the legal hierarchy โ€“ by experiencing it first-hand. "I worked at a small law firm to pay my way through university and law school. When I started out I did a lot of the grunt work that senior lawyers don't do. Legal research takes about 30% of a lawyer's time. Currently legal research works by inputting keywords to search a massive databases of cases โ€“ you type in a query and get thousands of results, which a lawyer has to trawl through to pick out key meanings. I was doing that, and I can tell you that it's a mess and takes a long time".


Marketo, HubSpot and Oracle Just Got Lapped by Artificial Intelligence

#artificialintelligence

Platforms such as these reveal insights from large amounts of unstructured data. That's how Facebook is able to recognize faces in photographs with nearly 98% accuracy. It's this technology that powers much of the managed services technology behind programmatic native advertising. As a matter of fact, Paul Roetzer of PR 20/20 gave a whole presentation on the topic at Content Marketing World. IBM's Watson project has earned just as much media attention as the iPhone 7 announcement โ€“ with good reason, too.


Dreamforce 2016: Salesforce stakes claim for baked in artificial intelligence

#artificialintelligence

Cloud-delivered customer relationship management (CRM) company Salesforce inaugurated its Dreamforce conference in San Francisco by staking a claim for artificial intelligence (AI) baked into business applications. This email address is already registered. By submitting my Email address I confirm that I have read and accepted the Terms of Use and Declaration of Consent. By submitting your email address, you agree to receive emails regarding relevant topic offers from TechTarget and its partners. You can withdraw your consent at any time.


Thrill-seeking teens have a better memory than adults: The part of the brain that creates daredevils helps adolescents learn

Daily Mail - Science & tech

Teenagers can often be portrayed as irresponsible individuals, seeking short-term satisfaction without regard for the consequences. But a new study shows adolescents' love for instant gratification can actually help improve their memory. The researchers found teenagers were better at a picture-based learning game than adults when positive reinforcement was involved, and they argue this sensitivity to reward could be part of an evolutionary adaptation to learn from their environment. Teenagers can often be portrayed as irresponsible individuals, seeking short-term satisfaction without regard for the consequences. But a new study shows adolescents' love for instant gratification, which also makes them thrill-seekers, can actually help improve their memory Teens' brains are wired differently from adults, the study found, explaining both their wild behaviour and their ability to memorise.


Adapteva's 1,024-core Epiphany V mega-chip packs a serious wallop

PCWorld

Back in 2010, an Intel researcher said 1,000-core processors would be feasible. We're in that era, and the race to make chips faster and more power efficient is gaining steam. The latest mega-chip is a 1,024-core processor called Epiphany V, which was announced by Adapteva on Wednesday. Adapteva claims it will have enough juice to outperform some of the latest gaming and server processors. It has a mere 24 more cores than the 1,000-core KiloCore, a test chip made by researchers at University of California, Davis.


Efficient Machine Learning in H2O with R and Python, Part 1 - DATAVERSITY

#artificialintelligence

One of the major benefits of working with R and Python for analytics is that there're always new and freely-available treats from their vibrant open source ecosystems. And now more and more, data scientists are able to reap the benefits of working with data in R, Python and other platforms simultaneously, as vendors introduce performant products with APIs to both R and Python -- in addition to perhaps Java, Scala and Spark. An example with which I'm currently quite smitten is H2O. H2O brands as "AI for Business" that "makes it possible for anyone to easily apply math and predictive analytics to solve today's most challenging business problems." What sets H2O apart is its comprehensive, open source, cross-platform, machine learning infrastructure architected from the ground up for scalability and speed.