bot


How Elon Musk's A.I. Destroyed The World's Best Gamers in "DoTA 2'

#artificialintelligence

It happened with Chess and Go, and it finally happened with eSports. Elon Musk-backed Artificial Intelligence company "OpenAI" just used a bot to wallop the best DOTA2 players in the world. To be honest, it wasn't even close. Instead of trying to program the perfect bot, OpenAI just created a bot that learned through trial and error. Over the course of playing thousands of games against itself, the bot kept the behaviors that lead to victory and shed the ones that got it killed.


The Dangerous Necessity of Relying on Bots

#artificialintelligence

For businesses, scale isn't everything. When you're manufacturing physical goods, being able to move more materials through an assembly line reduces the unit cost. When you're serving customers at a burger chain, having 20,000 outlets confers a huge cost advantage over a competitor with 200 units -- you reach lots more people and make far more effective use of supply chains, advertising, and other investments. In a highly competitive industry with razor-thin margins, scale is what enables you to grow profits. And for an online or digitized business for which the cost of adding or serving a new customer is close to zero, scale is a necessity.


How AI finds big value in big data 7wData

#artificialintelligence

Bots can augment human interaction, create greater business efficiencies, and remove friction from customer interactions. It's a market that has already rolled up $24 billion in funding for companies at every stage, from startup to multinational. Industry leaders from IBM to Facebook are making big efforts to take advantage, spending significant resources to encourage developers to create new bots that enable more personalized customer interactions. In March 2016, Cisco announced the Spark Innovation Fund, a $150 million investment in bots and developers who want to make new products for Cisco endpoints in offices around the world. Some of the most obvious uses for bots revolve around communication, customer service, and ecommerce.


Bots are transforming personal banking around the world

#artificialintelligence

Digital banking brought a transformational wave to the banking system. As traditional banking practices slowly adjusted to the wave, artificial intelligence quickly caught up and made the bot market hotter than ever before. VentureBeat's 2016 Bots Landscape showed that under 200 companies, which make products ranging from personal assistants to AI tools and messaging, had $22 billion in funding and came with a whopping valuation of $159 billion. But there is a reason for these massive numbers. Do you have an AI strategy -- or hoping to get one?


Top Professional Jobs Under Threat From AI - Advicenode Blogs

#artificialintelligence

In the coming few years, Artificial Intelligence (AI) is going to take over on many of the current jobs. As per this PwC report, more than 30% of jobs in US, UK, and Germany are at high risk of automation. Some of these jobs may disappear within a few years while some can still be around for decades. In this article, we will highlight only those ones that can be automated soon. According to HBR, AI may soon replace even the most elite consultants.


The Biggest Challenges in Implementing AI - DZone AI

#artificialintelligence

As we all know, there are pros and cons associated with every technology -- and AI (artificial intelligence) is no exception to this rule. The most popular are dating bots, where a computer program (chatbot) that uses artificial intelligence strikes up conversations with dating site users, enabling the scammer to "talk" with multiple potential victims at once. Legal challenges related to AI's application in the financial industry could be related to the consequences of erroneous algorithms and data governance. Rather, organizations should focus on how they can responsibly reduce the ill effects of this technology by minimizing the challenges and leveraging the benefits and by creating a clear technology adoption roadmap that understands its core capabilities.


The Biggest Challenges in Implementing AI - DZone AI

#artificialintelligence

As we all know, there are pros and cons associated with every technology -- and AI (artificial intelligence) is no exception to this rule. The most popular are dating bots, where a computer program (chatbot) that uses artificial intelligence strikes up conversations with dating site users, enabling the scammer to "talk" with multiple potential victims at once. Legal challenges related to AI's application in the financial industry could be related to the consequences of erroneous algorithms and data governance. Rather, organizations should focus on how they can responsibly reduce the ill effects of this technology by minimizing the challenges and leveraging the benefits and by creating a clear technology adoption roadmap that understands its core capabilities.


An AI bot operated by Wells Fargo just slapped sell ratings on Google and Facebook

#artificialintelligence

And here comes an AI bot developed by stock analysts at Wells Fargo Securities. According to their note to clients on Friday, reported by Bloomberg, the AI bot promptly slapped a "sell" rating on Google and Facebook. Last month, a group led by Ken Sena, head of Global Internet Analyst at Wells Fargo Securities, introduced this "artificially intelligent equity research analyst" or AIERA. This is in blatant contradiction to Wall Street's human hype machine, which has 42 "buy" recommendations out of 47 ratings on Facebook, according to Bloomberg, and 34 "buy" recommendations out of 41 ratings on Alphabet.


9 IT projects primed for machine learning

#artificialintelligence

But rather than just answer individual questions, agents create a "goal-directed" conversation that works through the customer's problem to help them solve it, which is what you need for ticket sales or diagnosing why a projector can't connect. Marketing is often the first department to experiment with new technology, which is why marketing services like Adobe Marketing Cloud, Dynamics 365 and Salesforce are starting to offer machine learning predictions for everything from recommending related products for customers, to showing personalized search results, to classifying sales leads, to warning you when a deal is going cold, to finding alternate contacts at a potential customer company, even suggesting how and when to reach out to them. Instead of just historic sales data, machine learning lets you use data about the way customers research purchases on line, the impact of weather on shopping habits and other internal and external trends to manage inventory by forecasting demand. Amazon claims it can predict exactly how many shirts of a particular color and size it will sell every day; Target credits machine learning predictive models with 15-30% growth in revenue.


9 IT projects primed for machine learning

#artificialintelligence

But rather than just answer individual questions, agents create a "goal-directed" conversation that works through the customer's problem to help them solve it, which is what you need for ticket sales or diagnosing why a projector can't connect. Marketing is often the first department to experiment with new technology, which is why marketing services like Adobe Marketing Cloud, Dynamics 365 and Salesforce are starting to offer machine learning predictions for everything from recommending related products for customers, to showing personalized search results, to classifying sales leads, to warning you when a deal is going cold, to finding alternate contacts at a potential customer company, even suggesting how and when to reach out to them. Instead of just historic sales data, machine learning lets you use data about the way customers research purchases on line, the impact of weather on shopping habits and other internal and external trends to manage inventory by forecasting demand. Amazon claims it can predict exactly how many shirts of a particular color and size it will sell every day; Target credits machine learning predictive models with 15-30% growth in revenue.