What Are You Thinking?

Business, Positive Thoughts, Thinking, Encouragement
Image credit: Pixabay.com

What we do and how we perform are a result of our thought process and spiritual development. The brain is our power source. Our thoughts, positive or not, formulate decisions that will ultimately affect our present situation and mold our future. Healthy thoughts – healthy spirit – healthy body – healthy you!

No One Knows What It Is, But In-House Counsel Desperately Need It

Artificial Intelligence, Attorney, Lawyer, Litigation, Law
Image source: abovethelaw.com

By 
Above The Law

There are two deep and abiding truths in the legal industry: no one knows what AI even means, and, yes, you need it. Or at least, you need solutions that incorporate artificial intelligence to resolve discrete problems you face. But that sounds less exciting.

Here at the Association of Corporate Counsel annual meeting, a packed conference room watched Rise of the Machines: Can Compliance and Litigation Keep Up?, a panel moderated by Mark Huller, Senior Counsel from The Cincinnati Insurance Company, and featuring Khalid Al-Kofahi, R&D Vice President at Thomson Reuters; Cynthia Boeh, General Counsel at Other World Computing; and Martin Tully from Akerman LLP. And once again we learned that no one knows what AI really is.

Indeed, Martin Tully kicked off the discussion by invoking the ineffable Linda Richman, “I’ll give you a topic, artificial intelligence, neither artificial nor intelligent, discuss.”

And that’s where we seem to sit in 2017. With 50 percent the AI evangelists describing it as liquid magic and the other 50 percent willing to admit it’s just a tool, while 100 percent of its customers are just confused about the whole concept. Even the panel couldn’t come up with a consistent definition of artificial intelligence, though — like all good dystopian machines — they were self-aware.

Tully spoke of three categories: assisted intelligence (tools that do what lawyers are already doing), augmented intelligence (tools doing what lawyers are incapable of doing on their own), and autonomous intelligence (tools doing what lawyers aren’t even doing). Meanwhile Huller walked the audience through “strong vs. weak AI,” with strong AI being a machine with cognitive abilities developed to approximate a human being, while weak AI merely mimics human behavior. Personally I thought strong AI was the first 136 minutes and weak AI was the 10 minutes Steven Spielberg tacked on to answer every meaningful question in an entirely trite and conclusory manner. But no matter how you slice it, everyone has a different rubric for understanding AI.

Rubric creep is just part of the AI narrative. Should programs as basic as Dragon Natural Language or Siri count as AI? In a sense, sure. They are smart programs that learn how you talk and convert that into text. In another sense, no. It’s not like Google Home is going to close the pod bay doors on you. We hope.

Regardless, people seem unwilling to recognize these “weak” AI programs as true artificial intelligence. Around 29 percent of the audience said they don’t use artificial intelligence on a routine basis, meaning either 29 percent of the in-house lawyers in America are proud luddites or they don’t respect weak AI. Maybe if we fully expunged the people peddling unicorn AI we’d get better numbers.

Still, it’s hard to let go of the idea that we’re dealing with magic on some level. The sobering statistic to remember was raised by Thomson Reuters’s Kahlid Al-Kofahi: by 2023 a basic laptop will do 63 trillion operations/second, a magic number because that’s the speed of human pattern recognition. And on that same trajectory, by 2050, a basic laptop will perform the human pattern recognition power of ALL HUMANS COMBINED every second. On the other hand, most humans are stupid and think CBS makes good sitcoms so maybe that’s not as impressive as it sounds.

Whatever people think of it, folks seem to understand that artificial intelligence is the way of the future. Most everyone — in a room that probably carried some self-selection bias — knew that they needed AI-based solutions. And when they polled the audience about what applications they were considering meeting with artificial intelligence solutions, by far the most popular were contracts and discovery with M&A due diligence lagging behind (which is odd, because products like KIRA seem so perfectly suited for those tasks).

Perhaps discovery and contracts have just crossed the acceptability threshold first. Compliance was the big “other” application. Al-Kofahi said he couldn’t get into details, but that being an expert in multiple legal environments is simply tough and compliance is a target Thomson Reuters is working on. Could we see a new research product soon?

What about dispute resolution? Al-Kofahi phrased it as an access to justice issue when three times more issues are resolved on eBay than in US adversarial proceedings. Tully mused that the contracts of the future will be filled with clauses agreeing that all disputes will be resolved by Watson. He was only half-kidding. Could people get behind a decision maker without human judgment? Boeh argued that we’ll be there in the transactional world soon enough and we’ll be the better for it, observing that removing the natural human bias of both sides wanting to make a given deal go through, no matter the obstacles will make the deal better for both sides. And that’s a substantive legal decision that’s already here.

For anyone still skeptical, Tully put the future to the assembled in-house lawyers this way: would you feel comfortable today knowing that your lawyer did research without consulting Lexis or Westlaw? No. As AI tools get out there, clients have to start thinking about AI in this way — how can you trust a lawyer who reviewed documents without, say, Everlaw?

But it’s not going to be painless. Fears of robot lawyers may be cute, but it’s not going to end up like that. The AI narrative is coalescing around the idea that AI is going to kill off the boring work and leave every attorney pondering big ticket brain tasks every day. Tully cited Richard Susskind saying that “90 percent fewer lawyers and only specialists will remain.” In Tully’s words, AI is more like Jarvis — helping Tony Stark process information and make better decisions — than it’s Skynet out to kill us. Al-Kofahi used the mantra “what business are we in?” noting that if lawyers are in the advice business then they should embrace this. Boeh simply called AI “miraculous” for taking the menial tasks out of the law.

But one counsel raised the 64 million dollar question that some of us have been harping on: what if menial tasks are good? Perhaps digging through documents for 20 hours a day makes you a better lawyer later and there’s no effective substitute that allows a lawyer to “skip to the smart part.” If we scoffed at the “practice-ready” law school model before, we should choke of laughter over the idea that law school grads are going to roll out able to manipulate a factual record without ever digging through the context to learn the hard lessons of what is and isn’t a hot document. Who are going to be the next generation of “specialists” in Susskind’s world? Because if we gut the groundwork that junior lawyers have done for a century or more, it’s hard to imagine who earns those stripes.

Yet it was an odd question in a room full of clients. This is the room that constantly pressures outside counsel to write-off junior billables. This is the room that’s “done paying for on-the-job training.” When the AI revolution begins — as all Jacques Mallet du Pan observed of all revolutions — to eat its children and leave the cupboard bare for the next generation, will the clients recognize that they created this world? Or will ROSS just replace those lawyers too. Maybe. If we hold out until 2050 when computers are as powerful as Al-Kofahi predicts, maybe we won’t need to worry. Still, this is the dark underbelly of AI’s rosy narrative of giving lawyers “more time to do the smart stuff.”

Not to add more rubrics to this discussion, but Tully encapsulated the AI conversation when he said there are three ways everyone reacts to AI: disbelief, fear, or irrational exuberance and all of them are wrong. Artificial intelligence, warts and all, is coming. There will be straightforward applications that will ease a lawyer’s pain and complex applications that will overturn the nature of the profession.

It’s time to pony up to the table because this is getting sorted out with or without you and you may as well have a seat.

Article source: https://abovethelaw.com/2017/10/no-one-knows-what-it-is-but-in-house-counsel-desperately-need-it/?rf=1

Instagram redesigns call-to-action bar to dynamically mirror ads

Social Media, Marketing, Instagram
Image Credit: Source: MarketingLand.com

For the second time in the two years since rolling out clickable ads, Instagram is updating the look of what people are supposed to click. This time the Facebook-owned photo-and-video app is tweaking ads’ call-to-action bars to better blend in while still standing out.

Last year, Instagram made its ads’ clickable element more obvious in an effort to make people more aware of the option and assuage advertisers’ concerns with the app’s direct-response options. A few months after replacing its ads’ call-to-action button with a horizontal bar that ran along the entire bottom of an ad’s photo or video, the company set the bar’s background color to switch from white to blue after four seconds to draw more attention to it.

Now, instead of blue, the bar will dynamically change to the main color contained in the ad’s photo or video, the company announced on Monday. Instagram will change the color of the call-to-action bar to better coordinate with the primary element of the native ad that grabbed the user’s attention.

According to an Instagram spokesperson, the redesigned look is meant to ensure that an ad’s photo or video is its standout element and to make people’s feeds feel more natural. It may also ensure that Instagram can insert more ads into those feeds without making them look overloaded with ads.

The blue call-to-action bar had been the most obvious signal that a post was an ad, though it only turned blue after a post was on screen for at least four seconds. By making the call-to-action bar feel more like a part of the photo or video, the difference may not be so obvious to people swiping through their feeds. If that proves true, then Instagram may be able to insert more ads — and relieve Facebook’s ad-load pressure, which is expected to decelerate the company’s ad-revenue growth this year — without overdoing it.

Article source: https://marketingland.com/instagram-redesigns-call-action-bar-dynamically-mirror-ads-226356

Brain game: the freaky factor of artificial intelligence

Artificial Intelligence, Technology, Lifestyle
Face facts: what it means to be human. Photograph: Getty Images


The Guardian

The release of Blade Runner 2049 has once again inspired us to imagine what it would be like if the distinction between artificial life and humans all but disappeared. Once something else is almost as ‘real’ as us, the idea of what it means to be human is challenged.

Neuroscientists know already that such a scenario is disturbing to us – thanks to a phenomenon known as Uncanny Valley. In the experiment, when people were faced with robots that looked very robotic (think flashing lights and metal), their response was fine. But the more human the robot became, the stronger their antipathy, discomfort and even revulsion – and the spookier it seemed.

In studies we measure the degree to which anything is human in terms of how it looks, how it moves and how it responds. In all cases the more artificial anything seems, the more easily we cope. Of course, once the difference between us and artificial life is undetectable, our response is exactly the same. At which point, the tables will turn – an enduring theme in Blade Runner – and it will be the robots who struggle with the idea of who they are and what it means to be human.

Dr. Daniel Glaser is director of Science Gallery at King’s College London

Article source: https://www.theguardian.com/lifeandstyle/2017/oct/15/brain-game-the-freaky-factor-of-artificial-intelligence

Dubai International Airport will replace ID checks with a facial recognition aquarium

Dubai Airport, Technology, Facial Recognition, Innovation
Photo: Satish Kumar for The National

In a world in which people are increasingly willing to trade privacy for convenience, facial recognition seems to be a new frontier. And the foremost pioneers on that frontier now appear to be the folks at Dubai International Airport.

Airport officials plan to install a virtual tunnel-shaped aquarium equipped with 80 supposedly invisible cameras that will identify passengers as they walk through, in lieu of customs agents looking from your passport to your face and back. The first aquarium will be up and running by the end of next summer, according to The National. Emirates customers will be the first to experience the tunnel, but the airport plans to install more until 2020.

Facial recognition is popping up at more and more airports as a way to streamline the process of identifying passengers ahead of boarding, and it has its conveniences. You don’t have to remember your passport or driver’s license or other forms of ID, and the lines will theoretically move more quickly because people don’t have to stop and wait for an official to check those IDs.

Dubai’s aquariums seem to be taking the relaxation idea to a level no one else has thought of, but the aquariums serve a purpose other than to calm passengers as they head to their planes.

“The fish is a sort of entertainment and something new for the traveler but, at the end of the day, it attracts the vision of the travelers to different corners in the tunnel for the cameras to capture his/her face print,” Obaid Al Hameeri, the deputy director general of Dubai residency and foreign affairs, told The National.

The National reports that travelers will be able to register their faces at kiosks, and those scans will presumably be matched up with what the aquarium-tunnel cameras pick up as you pass through.

If the cameras determine you are who you say you are, you’ll get a green light at the end of the aquari-tunnel. If not, you’ll get a red light, and an official will likely conduct extra screening of some kind.

It’s not clear what Dubai airport officials will do with these face scans after they have them. Do they keep them on file, assuming you’ll return? Do they share this information with government officials in the United Arab Emirates? How about with officials in other countries?

And face scans are just part one of a two-part plan. Soon, these aquariums may also have cameras that scan your irises. Just remember that when you’re looking at all the pretty fish.

 

Study: Social marketers’ top challenge is measuring ROI

 

Marketing, Social Media
Image source: MarTech Today

Marketers continue to spend more money on social campaigns, and they continue to struggle to appraise what they receive in return for that money.

Measuring return on investment (ROI) was the most commonly cited challenge facing social marketers, according to a study conducted by Simply Measured, a company that sells analytics software for marketers to measure the ROI of their social campaigns.

The social analytics firm surveyed almost 1,000 ad agency employees that span 111 countries and specialize in social marketing, roughly half of whom held the job title of social media manager, marketing manager or director of social media. Of the survey’s respondents who were asked to identify their top three challenges, 61.4 percent picked measuring ROI was picked by 61.4 percent, followed by “tying social to business goals” at 35.5 percent.

Attributing social marketing spend to business results has been an increasing area of focus for marketers, as well as for social platforms. The more money marketers pour into social media, the more they expect to know how that money converts into revenue for their businesses. And social platforms like Facebook have seen this as an opportunity to solidify marketers’ social investments and siphon spend from more established channels like TV and search.

During Facebook’s most recent earnings call (PDF), COO Sheryl Sandberg described the company’s shift in emphasis away from “proxy metrics,” such as video views and brand lift, and toward “sales metrics” because “the more that we can tie ad viewing to sales, the stronger our case is with our clients.”

Engagement before conversions

However, for sales metrics to take hold, marketers need to wean themselves off proxy metrics, such as likes, comments, shares and retweets. And they have not yet.

According to the survey, 57.8 percent of respondents said that engagement metrics were the metrics they used the most to gauge a social campaign’s success, whereas 23.6 percent cited conversion and revenue metrics — e.g., website traffic, conversions and revenue — as their most-used metric to measure success.

Compounding matters, marketers are more interested in analytics tools that enable them to count engagements than they are in conversions. Per the survey, 52.7 percent of respondents said that tracking engagement metrics is the most important feature they seek in a social analytics tool. By comparison, 39.4 percent cited the ability to track conversions as their most sought-after capability.

Perhaps because of marketers’ preoccupation with engagement metrics, social data plays a somewhat restricted role in informing clients’ social strategies. While 61.5 percent of respondents said they use social data to assess campaign performance, only 36 percent said they use social data to measure ROI.

Marketers’ favored social channels

The hierarchy of social platforms that marketers spend the most money on mirrors that of those they use the most in their campaigns. Respondents’ six most-used social networks are the same six social networks on which they spend the most money, and in the same order: Facebook takes the top spot, followed by Instagram, Twitter, YouTube, LinkedIn and Pinterest. If it weren’t for 27.1 percent of respondents claiming to use Google+, the mirrored hierarchy would extend to include Snapchat in the seventh position.

While the two charts share the same order, the stats differ drastically. Facebook is far and away the platform that most respondents spend money on. And even though fewer than half as many spend money on Instagram, the Facebook-owned photo-and-video app outpaced Twitter by more than double.

The divide likely has to do with Facebook and, to a lesser extent, Instagram being largely pay-to-play platforms for brands, thanks to their respective algorithms that sort the posts in people’s feeds. In other words, marketers may not feel as pressed to spend money on Twitter, YouTube, Pinterest and LinkedIn because they are able to reach enough people organically. However, that thinking wouldn’t apply to Snapchat, which is typically considered a pay-to-play platform. Snapchat’s relatively small standing may have to do with it being inaccessible to many advertisers, though that has begun to change.

Influencer marketing

Simply Measured also surveyed agency employees about influencer marketing. Marketers have warmed to incorporating people with large social followings into their campaigns, but not necessarily to the point of dedicating a share of their budgets specifically to this type of marketing.

According to the survey, 54.9 percent of respondents said influencers are an important part of their marketing strategies, though only 18.7 percent said they “strongly agree” that influencers play a vital role in clients’ social strategies. However, 66 percent said they have no dedicated budget for influencer marketing.

The fact that brands are not earmarking dollars specifically for influencer marketing may have to do with the channel serving more of a supplementary than standalone role. Asked how they use influencers in their social strategies, 59.2 percent of the respondents said that influencers serve to extend the reach of campaigns, a role similar to that of PR outreach.

Social analytics software preferences

Finally — and perhaps the least surprising finding in a survey conducted by a social analytics software provider — 52 percent of respondents said they need social analytics software to do their best work. The runner-up resource was “human resources” at 35.7 percent, followed by publishing software at 12.3 percent. For this question, as with the biggest challenges question, respondents were asked to select their top three most important features.

More surprising may be the types of social analytics tool that agencies typically use. Despite Facebook’s series of measurement errors and Twitter’s own measurement mistake, agencies most often turn to platform-provided analytics tools to collect social data, including engagement stats, follower counts and website conversion measurements.

Of the respondents, 47.2 percent said the platforms’ tools are their primary way of collecting social data for clients, followed by 31.1 percent that rely on third-party social analytics tools and 10.4 percent that manually monitor their clients’ social accounts. The remaining 11.4 percent use some combination of the aforementioned methods.

Article source: https://martechtoday.com/study-social-marketers-top-challenge-measuring-roi-204879