Daily Archives: February 7, 2017

Its clear artificial intelligence (AI) and automation will dramatically affect the job market, but theres conflicting ideas on just how soon this will happen. Some believe its imminent possibly fueled by developmentslike the Japanese insurance company replacing over 30 employees with robots but its not that cut and dried. Many of the jobs that will be automated are the same jobs companies have been outsourcing for years: customer support, data entry, accounting, etc. Others are jobs they simply cannot fill due to decreases in headcount.

Either way, as transactions and expectations for real-time output increase, businesses are struggling to meet this demand and must digitize their operations to remain competitive. Its the future of human labor. Its not black and white, or good and evil, its simply the natural cycle of automation, just like we saw in the industrial revolution and will see again after AI becomes commonplace.

Adoption of AI and automation will be highest in regulated industries and those that must process thousands of transactions and customer requests daily. They are industries like banking, financial services, insurance, and health care those with repetitiveprocesses like copying and pasting that do not really require human intelligence. Its the types of jobs/task within an organization that are repeatable and admin-heavy that will be automated first. In fact, in three examples in particular, were already seeing automation play a big role.

The cost of fraudulent claims across all lines of insurance amounts to $80 billion a year, and well over half of insurers predict an increase in such fraud. Yet, despite the well-known pressures insurers face to correctly verify claims, they also get a bad rap for not doing so fast enough. Thats why the insurance industry is looking to advances in AI to both reduce fraudulent claims and improve customer service by speeding up the process.

Using machine learning, a subfield of AI, insurers can auto-validate policies, matching key facts from the claim to the policy and using cognitive analysis to determine whether the claim should be paid. These technologies can even transmit data into the system for downstream payment automatically and in a fraction of the time it would take a human to complete the same task. Humans are then elevated to tasks that really require their human intelligence and their customer service expertise.

Consumers have become accustomed to talking to bots, whether its asking Siri to find the closest dry cleaner or asking Amazons Alexa to add bananas to the grocery list. And the financial services and banking industries are no exception. More banks are reducing manual service efforts by offloading repetitive inquiries to AI-powered chatbots.

Theyre training these bots on historical conversations so they can perform the same tasks as a human agent, conversing with customers to determine their needs and then, in the best scenarios, actually executing a business process to deliver against their intent. More complex conversations are escalated to a human agent, where they now have the time to handle with care; meanwhile,the chatbots are working in the background to learn from the outcome. Customers are happy because their needs are taken care of seamlessly and quickly, and banks are able to reduce the backlog of customer service requests.

The ultimate goal of every health care plan administrator is to ensure claims are received and processed accurately and on time. The sheer volume of claims makes this a difficult task. Making it harder, claims are submitted in various formats fax, email, handwritten, etc. and must be put in a standardized format before theyre processed. In fact, billing and insurance-related paperwork costs an estimated $375 billion annually.

Using advanced AI/machine learning technologies, health care providers can reduce the amount of time it takes to process a claim and respond to patients and providers. Not only does this improve patient satisfaction, it also lessens errors that can result in hefty financial losses and regulatory fines. While it wont replace all health care administrators, it will help them redirect their resources toward critical, customer-facing activities.

According to a recent report by McKinsey Global Institute, almost every job has the potential to be automated, but more often than not, these jobs will require a combination of automation and human intelligence. There will be a tsunami of job loss relating tocertain tasks but this will push people into higher value work. Data entry may be automated, but creative thinking wont be replaced by bots. AI is creating new efficiencies that will ultimately change the types of jobs that are in demand. This reality is happening more quicklyin some industries than others, but it is unequivocally transforming the way work gets done.

Excerpt from:

3 common jobs AI will augment or displace - VentureBeat

My AI is smarter than your AI.

That's the taunt that Samsung Galaxy S8 owners may be able to lob at Google Pixel users if the S8's rumored Bixby Assistant launches with seven or eight languages, as reported by SamMobile.

Samsung's Bixby AI will go after Google Assistant, Apple's Siri and Amazon Alexa for phones

In the Google Pixel, Assistant currently supports two languages, according to Google's website: English and German. The Google Allo app, which also uses Google Assistant and works on more phones, supports five languages: English, German, Hindi, Japanese and Portuguese. (You can still use Google's voice search/Google Now with many more languages on the Pixel phones, but the Google Assistant launch gesture turns off when you switch your primary language to, say, Spanish.)

Launching its own smart AI assistant is an important move for Samsung and its future Galaxy and Note phones. The company, which strives to dominate the smartphone world against Apple's iPhone, stands to win fans if its Bixby assistant can outperform Google's Assistant, Apple's Siri and Amazon's Alexa, which will land on its first phone later this month.

This isn't the first time that Samsung has tried to out-Google Google either. The company hoped to supplant Google's voice search tool with Samsung's branded S Voice app, and introduced other software services of its own. The company has largely pulled back on preloaded apps and shuttered some of the services, so it'll be interesting to see how well Bixby AI will be able to compete with more established assistants, especially in these early days of AI on phones.

Bixby is rumored to:

The Samsung Galaxy S8 is expected to launch March 29 and sell in mid-April.

Samsung did not immediately respond to CNET's request for comment.

More:

Samsung Galaxy S8's Bixby AI could beat Google Assistant on this front - CNET

Could you be playing the next big video game with your voice?

Voice assistants can seem supersmart. Ask my Amazon Alexa why the sky is blue, and you'll get a lesson in light refraction through the atmosphere.

Ask it what CNET is and things start to break down.

"In addition CNET currently has region-specific and language-specific editions."

Well, sure. Then I asked Alexa when the Super Bowl was, right before Sunday night's game. It responded:

"Super Bowl 50's winner is Denver Broncos."

That's one of the biggest contradictions with voice assistants. They can control your lights, play music and even tell you silly jokes. But despite their growing presence in our lives, their capabilities are still very limited.

So far, the way many companies have made them better is to hand-code each response. For example, someone at Amazon could go into Alexa's code and teach it what CNET is and when the next Super Bowl will take place.

Microsoft thinks it's found a different way. It's inviting app developers and companies to use its technology, feeding questions, giving responses and learning what needs to be fixed along the way.

The software giant isn't the only one looking for new uses for artificial intelligence, which, in shorthand, is essentially software that can learn, adapt and act in more subtle, sophisticated ways. Facebook is training its AI with all sorts of software tools, including one in its Oregon data center that's trying to teach a computer to create an original piece of art after looking at a series of pictures. Google, meanwhile, is teaching its AI to play board games. And IBM is refining its AI, called Watson, by feeding it data from all manner of businesses.

Microsoft has had its share of public AI efforts too. It offers a voice assistant in its Windows PC and phone software called Cortana, which will happily jot down reminders and answer trivia questions.

It has also released experiments like Tay, a Twitter chatbot that learned from conversations with people. The experiment, however, was quickly taken offline after people taught it to hate feminists, praise Adolf Hitler and solicit sex.

This time around, Microsoft is taking a more measured approach by offering its AI tools to developers. So far, the results have been encouraging.

A security footage startup called Prism has started using Microsoft's tools to help organize playback video. Prism identifies when there's an object in the video that wasn't there before. Then it sends an image from that clip to Microsoft to identify what's in the picture and gets responses back like "dog" or "package."

This could take hours for a person to do, but combining Prism's technology with Microsoft's AI means a search to see how many packages came to the front desk that day takes mere moments. "It's unfathomable to think about how much data there is," said Adam Planas, a creative director at Prism.

Microsoft's doing the same with voice commands, offering apps not just transcriptions of what I say, but an estimation of what it means, too. That is, if a video game is expecting to hear me say "how old are you" and I say "you look really young," it'll know I basically mean the same thing.

That's a big improvement over the voice command software Alexander Mejia and his team at Human Interact were using before they turned to Microsoft. Their project, Starship Commander, is a new virtual reality game entirely controlled by the player's voice.

"When people put on the headset, they start role-playing, they get into character," he said. "They want to be the starship commander and go forth and have an adventure."

The goal, he said, is to make players feel completely natural talking to the game. Part of that is by creating a slick-looking game that immerses the player to the point that they feel as though they are on a starship. Then, the game has to coax the player into talking enough that after a while, it's just natural. The only downside is that the game will require an internet connection to send your voice commands to Microsoft for processing.

But the upside is that process is "crazy fast," said Sophie Wright, vice president of business development at Human Interact (who also doubles as a character in the game).

Microsoft believes that by inviting developers to use its technology, they can help train its AI. Aside from the 5,000 engineers Microsoft has working on artificial intelligence, more than 424,000 outside developers have signed up to try it out too.

"I think we're on the cusp of a breakthrough," said Andrew Shuman, a corporate vice president at Microsoft who leads the company's AI research group. Once AI is able to understand us better, they can start truly helping in our daily lives. Imagine being able to ask a security camera where you left your car keys.

"You can set up for real user delight," Shuman said.

Does the Mac still matter? Apple execs tell why the MacBook Pro was over four years in the making, and why we should care.

Tech Enabled: CNET chronicles tech's role in providing new kinds of accessibility.

See the article here:

Microsoft AI's next leap forward: Helping you play video games - CNET

Just about everyone can benefit from an extra ear listening in at the right time. And while an ear dedicated to helping me remembertheitems my housemate asked me topickup at the store last week has yet to be commercialized into a startup,Chorus.ai is riffing off the concept to deliver a solution to help sales teams close more deals. The Chorus team is announcing a $16 million Series A today led by Redpoint.

Taking a page from companies like Cogito and Deepgram,Chorus.ai is first and foremost a system for extracting insights from audio. But unlike Cogito that got its start servicing call centers,Chorus.ai is setting its sights on sales.

In the style of X.ai, Chorus simply joins conference calls, in the same way a human would, to record and transcribe content in real-time. The platform flags important action items and topics that came up over the duration of calls.

We have invested in algorithms that are tuned to sales, but evensome simple keyword matching adds a lot of value, explainsRoy Raanani, co-founder and CEO ofChorus.ai.

The platform that the Chorus team built broadly serves two functions. Because it transcribes calls, it serves as a valuable reference for sales reps when completing follow-ups on action items. But Chorus can also add enterprise value by acting as a training ground for reps to share best practices and closing strategies.

Chorus.ai is the latest example of an AI startup finding vitality through verticalization. ThoughRaanani was careful not tocommit to any numbers, he explained that Chorus is likely better than products like IBMs Watson at thespecialized task of sales support.

Intuitively, mastery of general speech recognition is a harder task than mastery of language commonly used in the domain of sales.Even today, with speech recognition mostly a solved problem, many systems still struggle to parse the complexities (or lack there of) in the speech of young children for example.

In just four months, the company transitioned through the gears of a seed stage startup. Its first institutional round, led by Emergence Capital, who also participated in todays round, closed in October of last year for $6.3 million. All the whileRaanani, and his co-founderMicha Breakstone, continuedpolishing off the Chorus platform. The team built out key integrations with a number of meeting and support platforms like Zoom, BlueJeans, WebEX and Salesforce. And they closed customers likeQualtrics andMarketo.

In the future,Raanani and his team want to double down on the real-time advantage of the Chorus platform. The idea being that sales reps pitching to potential clients could leverage the speed of machines to pull up content in real-time to help close deals. If a customer on the phone references a competitor, Chorus could flash an informational aid on screen with known differentiators andpast successful pitches to give the sales rep a smarterace card.

Read more here:

With a $16M Series A, Chorus.ai listens to your sales calls to help your team close deals - TechCrunch