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thelifetimechannel · 6 years

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This week’s bonus content brings us Jake and John discussing the likelihood of a robot apocalypse:

JAKE: Hey there pal! JAKE: So youre jades... brother? JOHN: that's right! JOHN: compared to how confusing everyone else's family trees are, we are very straight forward. JOHN: even if we did not know we were related at first... JOHN: i wasn't sure how YOU were related to her, back when you were pen pals. JOHN: do you remember sending me that letter? JAKE: By jove i almost forgot about that. It feels like ages ago. JOHN: i don't know how long it was for you, but i got it three years ago. JAKE: I mean from my point of view it was only a couple of months but a lots gone on. JOHN: it arrived on my birthday so it was right on time. JOHN: it came in handy in a tight spot. JOHN: you were right in your letter, i DO love movies. JOHN: even if i am not into wrestling that much. JAKE: Oh well ive had my fill of fisticuffs for awhile anyway. Movies on the other hand i havent had much time to dig into! JAKE: By the way did you like your present?? And little terry kiser? JOHN: um... JOHN: well, i named her liv tyler, actually. i didn't know you already named her, or him. JOHN: anyway, she saved my butt in a big way! JOHN: and then she flew off on a ship heroically, but ran off again i guess? JOHN: and then she somehow joined dave and rose on their even more heroic mission to blow up a sun. JOHN: which they failed to do mostly because they actually MADE the sun, but the important thing is that they tried. JOHN: they came back, but i think the bunny didn't make it. :( JAKE: I live by the philosophy that when a stuffed toy changes hands its appropriate to change its name. It gives things a history like that. JAKE: At least she died doing something i presume she enjoyed. JOHN: blowing up? JAKE: No!! Being a hero and dicing up bad guys! JOHN: was the robot sentient? JOHN: maybe we should have treated it with more respect, so it would not turn evil and destroy us like a watership down version of skynet. JAKE: I mean dirk helped me a little in making it and all of his projects seem to enjoy that kind of mayhem. JAKE: Not as much as his own version of the rabbit but i think in giving me advice at least a couple of his engine greased fingerprints are on it. JOHN: man, everyone is some sort of robotics genius around here. JOHN: if we hadn't already had an apocalypse ushered in by rogue technology i would be worried. JAKE: I briefly suspected hal but no worries. JAKE: I think if he were going to attempt a robopocalypse he wouldve done it a long time ago when he was bored and had less to do. JOHN: he and terezi would get along. they both seem to enjoy wreaking mayhem for fun, although she says she's sorry now. JAKE: They might try but dirk would go spare. JAKE: And I think hes tossed out all his spares for today already. JOHN: everyone has learned their lesson about devious deeds! JOHN: i'm confident that will not happen in the future. JOHN: instead we can relax and do things like watch that movie you were recommending. JAKE: Oh yeah!! JAKE: Which one did i recommend again? I think it was weekend at bernies. JOHN: the one about the corpse getting moved around to trick people? JAKE: Oh yes! Two gentlemen discover that their boss has died shortly before throwing a party and try to convince people hes still alive by puppeting his body around! Its really quite hilarious! JOHN: it sounds good. JOHN: although apparently i'm already locked in to watching a few others. JOHN: including dave's? JOHN: i can't believe he became a big deal movie star in your world, that's hilarious. JAKE: He did. Ive got one of his characters tattooed on my arm! JOHN: um JOHN: you do? JOHN: wow. JOHN: have you told him that? JAKE: Not yet. Should i? JOHN: you might actually make him speechless, which would be a first. JOHN: definitely try it. JOHN: wait, which one is it anyway? JOHN: also, how did you get a tattoo? JOHN: i thought you grew up alone or something, like jade did. JAKE: Ive got sweet bro. Dirk gave it to me after we met up! JAKE: Hes got hella jeff. We match! JAKE: Let me tell you it was a harrowing thing getting it! Id heard getting a tattoo really hurts but you know what i just closed my eyes and before i knew it it was over just like that. JOHN: ... JOHN: huh. JOHN: well, that sounds exciting. i'm sure he'll be thrilled. JOHN: none of us have ever shown that level of devotion. JOHN: mostly we just repeat his shitty memes. JAKE: Dirk takes memes to a whole new level pal. JOHN: i haven't really had a chance to meet him before this. JOHN: i've been missing out on so many reunions today, maybe because i keep bouncing around taking people places. JOHN: out of you guys i've mostly talked to jane and roxy. JOHN: and i only talked to jane once! JOHN: i'm already behind. JAKE: Oh im sure youll get along great! Hes a cool dude and super smart. A little odd but he genuinely means well. JOHN: i'm looking forward to meeting everyone! JOHN: wait, i did meet him once, that's right. JOHN: back in the bad timeline, i saw him floating in space and asked him what happened, because i'd just come back from fighting calliope's brother. JOHN: but all he said was 'i failed' and then he... turned into glitter? JOHN: there were lots of glitches floating around, it was a hazard. JOHN: hopefully we can overcome that first impression. JAKE: ...yeah that sounds like dirk. JAKE: He can be pretty dramatic. JOHN: rose and dave are super dramatic too, he'll fit right in. JOHN: with all of us together it's going to be all drama all the time. JOHN: it will be up to us normal people to keep things under control. JAKE: He grew up all alone so sometimes i think he only knows how to act from movies too but who knows. Maybe it runs in families. JAKE: Family. Weird. JAKE: Hey that means were family too arent we? JOHN: i guess so! JOHN: you're my... JOHN: hm. JOHN: relative. JAKE: Relative. I guess. JAKE: I cant exactly go calling you great uncle john even if i still call jade "grandma". JAKE: Has a ring to it though! Great uncle john! Its all folksy like poppop crocker. JOHN: that's right, i was jane's grandpa in your universe, i guess. JOHN: which is also weird to think about. JOHN: and i was sort of everyone's dad, by mixing our slimes. JOHN: so it keeps getting more outrageous. JOHN: as for knowing how to act from movies... JOHN: i didn't even grow up alone, and i think sometimes i have that problem. JOHN: you want your life to make sense that way! JOHN: but real life is a lot more complicated sometimes. JAKE: Yeah!! JAKE: God yes it is. ESPECIALLY when it comes to romance. Good grief. JOHN: i know! JOHN: the movies make it look like it's essential or something, when usually in real life it mostly seems to cause trouble. JOHN: but you can't get a good ending otherwise, unless you accomplish that and a bunch of other arbitrary criteria. JOHN: most of which we haven't accomplished ourselves, but i think we're going to get a good ending anyway. JOHN: still it can mess with your head. JOHN: real life is not like the movies, that's for sure. JAKE: Its hard to have a romance going when your life is constantly under threat by skeleton monsters. JAKE: Also your first time seeing another person in ten years and your first boyfriend happen on like the same day. JOHN: see, that's how it happens in the movies sometimes. JOHN: the main characters meet up and get together right away, and i guess you have to assume it all works out, because the movie ends. JOHN: but when you're actually doing things it is not that convenient, you have to keep going. JOHN: although i hope we're going to get a break soon. JOHN: i would be happy for the credits to close on the constant heroics and dying for a while. JAKE: Me too. JAKE: I want a nap. Without an evil spider troll waking me up. JAKE: Movies also dont tell you how tiring the whole rigmarole of adventure is. JOHN: the main characters always look great, if fashionably ruffled, and they can keep going no matter what. JOHN: but i'm kind of tired. JOHN: especially since i've lived through the same hours twice in places i think? JAKE: You and your weird time travel nonsense again huh? JOHN: i will probably be mostly retiring that, i wouldn't want to cause any more trouble. JOHN: for now it looks like everything is turning out fine on its own. JAKE: Yessir i think were on the right path now and as soon as were done here im gonna take a long nap and anyone who cares to wake me up can throw down about it even if they are a hitherto-perfectly nice troll lady. Or human lady. Or anyone else. JAKE: The suplex of slumber justice is unisex. JOHN: that's the spirit! JOHN: we will all pass out and righteously beat up any one who disturbs us. JOHN: except hopefully once we are settled somewhere a little less exposed. JOHN: if we were asleep here someone might roll off. JAKE: But we can fly? JAKE: Where would we even fall? Towards the frog since its like a planet? Or... down? Were being pulled down by gravity i guess but how can we fall down if theres just space? JAKE: Would we float in our sleep? Maybe just get sucked back to the victory platform? JOHN: that sounds like a question for jade, she's more interested in how this works. JOHN: i told her science was dumb and boring if it didn't work the way i wanted, which made her upset, but i guess i got what i wanted. JOHN: so hah. JAKE: So science works how you want now? JAKE: Are you ganking my power set young man?? JOHN: not all of science, just space and time i guess. JOHN: and all of the scientific laws i am violating with my wanton displacement of matter and energy. JOHN: what ever those laws might be. JOHN: i am not a scientist or lawyer. JOHN: or science lawyer. JAKE: You fiend. Ah well as long as you dont go abusing your power im sure nothing terrible will happen. Like you flap your windy hood and cause a hurricane down south like an errant butterfly of causality. JOHN: well, i sort of lured lord english here, but i had to to save calliope, and we had to fight him anyway, so hopefully you can let that slide. JOHN: like i said, i will be taking it easy from now on. JAKE: I hear you there. Im over here asking myself do i even want to go wandering around this wonderland of dreaminess or do i just want to curl up over in that edge of the lily pad and have a nice snooze? JAKE: You know i can nap almost anywhere. I consider it a talent. JAKE: I have fallen asleep on clear grassy hills except thats probably not a good thing because centaurs can track through at any moment and they arent too careful about where they step! JOHN: jade was like that too! JOHN: although it MIGHT have partly been a troll messing with her brain again? JOHN: trolls sure are meddlesome. JOHN: anyway, this is probably our last chance to explore the dream bubbles, so maybe hold off on the naps until later. JOHN: also, centaurs? JAKE: Centaurs! JAKE: Oh yeah did i never say my island was full of alien monsters? JAKE: Because my island was full of alien monsters. JOHN: wow, your life actually WAS like a movie. JOHN: no wonder it was tempting to see yourself as an action hero. JOHN: everyone else had such weird and dramatic childhoods. JOHN: i don't have many bragging rights but JOHN: i liked mine. JOHN: i guess i'm one of the people that actually... left something ok behind? JOHN: but that's fine! because there can be ok things in the future too. JOHN: or hopefully more than ok. JAKE: I hope so. JAKE: I mean most things would probably be better than having to keep an eye out for monsters while walking to the pantry for canned friggin beets. JAKE: Not that i couldnt handle myself but beets arent worth that much. JOHN: bluch, no. JOHN: jade kept trying to make us eat our vegetables. JOHN: it was terrible. JOHN: she doesn't even know about lunchables. JAKE: My grandma ONLY stocked veggies. JAKE: And this weird stuff called spam. JOHN: i think our jade would probably have a heart attack if she saw spam. JOHN: although she does like raw beef these days. JOHN: which is a little alarming if you see her eat it. JAKE: I think she mostly included it as a courtesy to me and also i dont think theres many other great ways to keep meat. JAKE: So i hunted! Hopefully most of those creatures were edible and i didnt give myself any weird diseases. JOHN: the rest of you were like man versus wild! JOHN: including dave and rose kind of, even though they lived in real houses. JOHN: i will have to catch up if we are in some sort of survivor situation in the new universe. JOHN: i'm not really sure how that will pan out. JAKE: Youll be fine. Well watch your back! JAKE: Dirk will probably like. Invent a house if you give him long enough. JAKE: Just stick with jane and youll be fine. Shes kind of like you in that she also had a pretty cushy upbringing if you count out the assassination attempts. JAKE: Not that i hold it against her anything. We all take our lumps as theyre given. I mean she also has a dead grand- JAKE: Wait a minute. JAKE: Did you say you were...? JAKE: *Suspicious squinting.* JOHN: what? JAKE: Janes... JAKE: Poppop? JOHN: i... guess so? JOHN: that would make sense, she was my nanna. JOHN: oh man, was i also crushed to death by a flying baby? JOHN: that would be so undignified. JAKE: But hold the damn phone!! JAKE: You were ALSO jades brother in my timeline! JAKE: So if you were siblings and youre also janes poppop... JAKE: Would that make her and i... related?? JOHN: um... JOHN: not genetically? JOHN: but i think you were adopted siblings in our world. JAKE: !! JOHN: she grew up with a brother under a wicked alien queen. JOHN: which was betty crocker! JOHN: and the troll empress. JOHN: it is all connected. JAKE: So we were always family! JAKE: Gosh shell be so surprised to find out i bet. Just over the moon. JOHN: who doesn't want more family? JAKE: Of course! Good gravy aint that just like a movie. So many of us grow up without any family to speak of and we find out we were all family all along! JAKE: Consarnit id even call that some kind of irony. JOHN: at least it's a pretty crazy coincidence. JOHN: except since skaia set it up that way it's not a coincidence at all. JAKE: The chilly wind of fate whips through our unshielded undercarriages. JAKE: Get out of there skaia that zone is closed for business! JAKE: Its not enough to be whipping round my legs its gotta go and nab my shorts too... JAKE: Well ive had the last laugh. Ive got PANTS now! AND family! HAH! JOHN: well, fate or coincidence or whatever, I'M happy about it. JOHN: and i think both pants and family are important.

#bonus content #jake english #john egbert

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ericvick · 3 years

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Barros: 'I've received the experience' to lead Boston

Seeks to bridge neighborhood roots with downtown connections in 2nd mayoral bid

Boston’s newest applicant for Mayor of Boston, John Barros, has a skill set and connections that make him a real contender to win the seat— a lot like the four candidates presently in the continue to-evolving field. But there’s one particular ingredient of John Barros’ resume that no other prospect now in the race can place to: He’s accomplished this just before.

Barros finished sixth in field of a dozen candidates in the city’s preliminary mayoral election in Sept. 2013. At the time, Barros was a properly-revered chief in the city’s non-profit entire world, getting operate the Dudley Street Neighborhood Initiative (DSNI), a community-led business that he’s been affiliated with due to the fact he was a younger teen. He served as DSNI’s govt director for 13 yrs. He is also the co-proprietor of Restaurante Cesaria, the Bowdoin Street eatery that Barros applied as the backdrop to announce his candidacy now.

Because 2014, Barros has been a member of Mayor Walsh’s cabinet, charged with taking care of Boston’s financial development function working day-to-day and scheduling out a eyesight for the city’s long term.

That knowledge, he claims, coupled with his prolonged-standing profile as a grassroots organizer in Roxbury and Dorchester, tends to make him a significantly more robust prospect this time all-around.

“I know a ton much more about governing administration currently than I did in 2013,” Barros advised the Reporter in his initial sit-down job interview as a applicant for Mayor in 2021. “I have aided direct the city for 7 many years. I understand budgeting and policymaking. I recognize the romance concerning the local governing administration and the point out authorities. I recognize the marriage amongst the city govt and the federal authorities. And I am in situation, in simple fact, to be, to a companion with the Biden administration to make certain that Boston is noticed as a city that is ready to go on federal applications. And we have a friend there in ideally Secretary Walsh in Washington and I will keep quite close to make positive Boston is on the listing of most popular towns.”

And, whereas Barros—a native Bostonian born to Cape Verdean immigrant parents— was less of a identified amount exterior the Dudley Triangle in 2013, this time he has created substantial contacts in the city’s boardrooms and Major Streets in other neighborhoods.

“I’ve also sort of walked streets in Boston that I hadn’t walked ahead of,” Barros said. “I’ve been to neighborhoods and areas of all those neighborhoods that I have not been in advance of. I’ve had discussions, not only with the residents of, my community in Dorchester and Roxbury, but I have had conversations in with business proprietors all across the metropolis. So, I fully grasp the nuances of Charlestown. I understand what is going on in East Boston. I comprehend some of the difficulties in West Roxbury and some of their vision and what they’d like to see take place.

“That can make me any person who’s completely ready to hit the ground currently, anyone who’s all set to just take place of work and react to the wants of our metropolis, responding to requirements of our corporations reply to the desires of our citizens. And that is that I feel is the distinction among today and 2013.”

Barros has been mulling an entry into the race considering the fact that Walsh was nominated to be Labor Secretary on Jan. 7. Why wait around until now to officially bounce in? Barros suggests he’s been doing his owing diligence, assembling a crew of advisors, and producing confident that his family— Barros and his spouse Tchintcia have four children— are fully on-board with the choice. (They are.) Subsequent arrived “a collection of calls to individuals who supported me 2013” along with new contacts he’s created due to the fact that time. The opinions, Barros suggests, has been “supportive.”

“All of people have been favorable discussions and we’re completely ready to start,” he mentioned. “I believe I can stage in and keep on to support our city to reply to the threats of COVID and continue to retain us harmless. When the new mayor normally takes in excess of in the slide, my guess is we are going to be at a various put, but they’ll however going to be a good deal of hazards. We are not heading again to pre-pandemic days. There’ll nonetheless be some calls to be produced on how individuals are collaborating in distinctive areas in the general public.”

Barros enters what is currently a formidable industry of candidates, two of whom— Councillors Michelle Wu and Andrea Campbell— have been actively campaigning since past September. Annissa Essaibi George, also a metropolis councillor, joined the race in January, whilst Rep. Jon Santiago announced his bid on Feb. 23. Nonetheless looming as a likely prospect is the woman who will certainly be the up coming mayor— at the very least in performing manner: Kim Janey, the council president, who will consider the reins from Walsh when he is last but not least confirmed by a slow-as-molasses US Senate.

A different motive Barros is just now jumping in, he says: He’s been assisting prepare for the Walsh-to-Janey hand-off. He resigned from his cabinet submit very last Friday, six months right after Walsh was initially offered the put up in Washington, D.C.

“The reason why I am asserting now, and I failed to announce straight away right after I resolved that I was interested in working was since I was dedicated to a changeover and fully commited to the function,” Barros mentioned.

Discussions with Mayor Walsh and Council President Janey, he suggests, “were distinct.”

“I was heading to support with the changeover and make certain that she had what she necessary,” reported Barros, later on including: “I assume we’ve performed a wonderful position of functioning with President Janey’s changeover crew.”

How does Barros healthy into the present mix of candidates? Glimpse for him to look for to marry his deep roots in multi-cultural, community-rooted arranging attempts to his more latest portfolio as Walsh’s liaison to bigger organization interests. Pre-Covid, the Walsh cupboard could rightly level to significant job gains, a crane-stuffed skyline and a prime-rated credit ranking that has absent unblemished in the Corona-disaster.

It is a tantalizing union of street and boardroom that gave his ’13 candidacy some outsized juice — and a Globe endorsement. Serving as a bridge in between the C-suites and Dudley Streets is a sweet-place for Barros. He sees himself as a “facilitator to enable align the agendas” of the two distinctive Bostons that he insists are not “far off.”

“And that will proceed to be how I govern,” Barros explained, noting that he co-chaired the Walsh team’s Consider 2030 initiative, which outlines objectives for the city’s advancement by way of that yr.

“That variety of arranging will allow for certainty. Then you can say to a developer, this is what persons are likely to guidance here…. When we did that in Upham’s Corner, individuals had been stunned at how substantially density that citizens wished to see. And that’s due to the fact they comprehended that density implies that there are people regionally to guidance those people tiny organizations. It intended that we can be far more transit-oriented and actually build some requires close to the Fairmount Line. It meant a whole lot as we ended up seeking at the vision for an arts and innovation district in anything that we could assist the Strand Theater. And they also stated although, if they want to make guaranteed that there is a high amount of affordability.”

But Barros’ profile as a Walsh loyalist comes, as well, with some draw back. The administration’s record on contracting with women-owned and minority organizations has arrive underneath new, unfavorable scrutiny just after a report— commissioned by Walsh and Barros— discovered that their management has introduced minor movement in equity expending.

The report and the fallout is an annoyance to the outgoing mayor. It could be additional than that to a applicant running— in part— on the Walsh document.

The obstacle for Barros, then, will be to offer the upside the Walsh several years though deflecting the worst pieces.

One area to begin is the Walsh administration’s broadly lauded management of the Covid crisis— continue to incredibly considerably a operate in progress.

“We had been taking care of the town in a way that allowed us to not have layoffs throughout the pandemic. Other cities across the nation acquired hit challenging and they had been laying off laying off staff members. They were cutting systems. We failed to have to do any of that in Boston, simply because we ended up ready. We did a wonderful position of uh, becoming all set,” he advised the Reporter this 7 days.

“I’ve obtained the expertise and can support the metropolis open up again safely and securely in a extra just and equitable way. There are some matters we can modify in our economy, transferring forward. We you should not have to do, as we made use of to do it, there could be better participation in our economic climate. We have unfinished organization to do to continue on to push the agenda for expanding our economic system and performing it in modify in equitable way.”

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#Barros #Boston #Experience #Ive #lead #Received

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nicaurybenitezcortorreal-blog · 7 years

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Machine Learning and the Future of Client Success – Inside Machine learning – Medium

Every day of my career I’ve been consumed by client success…

I’ve thought about how to deliver better, clearer, more personalized support — and how to do so while keeping costs manageable. Historically, that meant maintaining the best possible knowledge base and troubleshooting guides, hiring and training top client care agents, and building systems for self-service — all the while monitoring those same systems for anything that left clients feeling abandoned or exasperated.

Those strategies are as critical today as they’ve always been, but the challenges are growing:

How do we quickly understand how symptoms correspond to solutions, especially as products proliferate?

How do we digest increasingly complicated troubleshooting data and share it with agents?

How do we leverage what we know about our clients to fast-forward the process of getting them the information they need?

And how do we unite the different portals (phone, chat, email), while building out new methods of engagement for mobile, social, and even virtual reality?

These challenges aren’t specific to any one industry. Whether a client is reaching out to the cable company, the pharmacy, or the vendor of their enterprise software, they want to feel heard and helped immediately. That means delivering client support that combines personalization with speed and precision. I’ve written about these issues before, but let’s dive deeper.

Data First

As machine learning comes into its own, more and more of us are seeing its potential to transform how we organize and deliver client support — in ways that could benefit clients and support providers alike. It starts with the data…

As a baseline, we want to take advantage of the data from disparate sources to train models for making predictions about what clients require now and in the future. Many organizations I work with have volumes of this proprietary data that’s simply untapped — data that can be mined to make meaningful predictions. In general terms, the data falls into three categories — with some overlap:

1. The data about the clients themselves

2. The data about their contact with provider support

3. The data that you can use to solve their issues

The first category comprises routine demographic and organization data, but also includes detail about a client’s preferred contact portal, their privacy stipulations, how long the person or organization has been a client, their contacts within your organization, which products and services they use, and how those products and services are configured.

The second category — data about their contact with support — might seem more narrow, but it’s remarkably diverse: which product or service is causing issues, time and date of the call, how long the person has been waiting for a response, how long it’s taken to resolve issues with this client in the past, whether the person re-opens closed issues, how long since they last contacted support, who handled their previous interactions, and so on.

qAnd then there’s the third category: Data that you can use to solve their issues. We typically think of this as Knowledge Base articles, troubleshooting guides, white papers, FAQs, and forum postings — but increasingly we can look to unstructured data around previous interactions with clients: the text or transcription of previous support tickets, and even data scraped from social media sites where your own organization, products, and services are being discussed.

(In many organizations, we would include a fourth category for public or externally available data: weather forecasts, road congestion, interest rates, and so on.)

Enter Machine Learning

Machine learning is about feeding data into models that offer reasonable predictions. For client support, those predictions give client care agents the opportunity to drill down quickly to the client’s specific need.

But doing that means more than looking deeply at the current client’s profile. It means comparing across all clients to aggregate an understanding that lets us say, “clients like this run into issues like these.” For example, clients who call each month to verify their payments could bypass the phone tree to get routed directly to a person who can put their minds at ease. Or a more complex scenario: Machine learning algorithms might determine that clients who have two particular products installed and who rarely call for support and who are calling in the middle of the night tend be to reaching out for advice about a particular configuration parameter related to an upgrade.

What better way to build rapport with those clients than to answer their phone call or chat inquiry with the answer that they need already in hand. And even if machine learning doesn’t get us to the answer right off the bat, it could still arm us with intelligent guesses and help us adjust our questions to quickly route clients to the information or expert that can help them. (I think visualization could play a key role here, but more about that in a bit.)

The Challenges

Building rapport, fostering personalization, and reducing time and cost are wins for clients and support teams alike, but what are the challenges?

We know that machine learning relies on volumes and volumes of data, and the ideal for training the models is clean, clear, structured data. We’ve seen that all manner of client and support data could be fed into the models — if it’s available. Here’s where established organizations can have an advantage, especially those who’ve been careful to maintain deep history of client interactions. That proprietary data — often maintained on private clouds behind the firewall — can act as a superpower for those organizations, especially if they’re able to set up high-performance machine learning systems that can sit side-by-side with the data.

Another challenge is how best to configure the systems themselves to maximize the ability to capture and use the data that can feed the models. At IBM, we’re seeing an increased demand for our easy-to-deploy appliance systems that can manage data for machine learning flexibly across private, public, or hybrid cloud.

And, of course, at the heart of the configuration challenge is the issue of data governance. Here the big questions are: How do we classify and unify the data from different support portals? How do we make sure that the data we’re collecting enables the specific client support decisions we want to make? And how do we create secure systems that still give our data science teams smooth access to the data they need to build and train their models?

Over the Horizon

Whether riding in autonomous cars, buying books, or fielding issues from clients, the great promise of machine learning is about anticipation. Above, I mentioned scenarios where our client care agents could help solve issues as soon as they emerge — but that begs the question: Can we solve issues before they emerge? Where can we use the power of anticipation to get ahead of client issues?

As our machine learning models become more sophisticated, the nature of anticipation is likely to evolve as well. It’s one thing to anticipate the need for engine service or the need for a security patch. It’s another to anticipate the deeper needs of people and organizations as they evolve through time. “Two years after clients ask us about x, do they tend to ask us about y?” How might we observe how clients learn and grow? And how might we tailor our support to their growing knowledge — and to the drift of their curiosity?

Inevitably, I think that same curiosity will extend to wanting to understand how we make our decisions to support them. This brings us back to visualization. We can imagine offering tools to our client care agents that let them describe a client’s issue in natural language and which respond with visual representations of the options for help that we can offer those clients — including the weights and probabilities the system is calculating (similar to Watson’s way of visualizing potential answers on Jeopardy).

In the spirit of self service, we can then imagine giving clients direct access to these tools and letting them describe the issues they’re encountering in their own words. The visualizations could give the client clear feedback that would allow them to adjust their descriptions or drill deeper. And their responses would inevitably improve the models themselves.

Unstuck, Unfrustrated, Unconfused

It won’t come as a surprise to anyone reading this post that — even with all the hype — machine learning really is poised to enact profound changes in the way we live, work, and think. Certainly the potential benefits can sometimes feel mingled with real hazards, and as always we need to proceed with care. But to the extent that machine learning allows all of us to spend less of our time stuck, frustrated, or confused, it means more time spent productively engaged in the deeper work that we’re eager to accomplish. To my mind, that’s the real promise of machine learning — for client success and beyond.

Source

https://medium.com/inside-machine-learning/machine-learning-and-the-future-of-client-success-1de439379b86

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fastmusclecar123 · 7 years

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New Post has been published on http://fastmusclecar.com/best-muscle-cars/ford-mustang-tail-happy/

Why Is The Ford Mustang So Tail Happy?

By Mark Weisseg

In the year 2017 I want to throw out some thoughts on the current Mustang. The internet and YouTube are full of videos of the Ford Mustang crashing. Not just crashing into grocery carts or another car but crashing hard into almost everything. The question remains. Why the Mustang?

Go check some web sites and you will see videos of the Mustang leaving car shows or events and then crashing. Now to be clear the videos generally show the driver doing a burnout, start to weave, and then crashing into something. The car has taken out bushes, other signs, other cars, and much more.

Sometimes it’s very serious and other times it’s a harmless crash. But why the Mustang? It cannot be a right wing conspiracy I guess because the videos are coming in from all over the world. Is it that there are too many Mustangs? Too many bad drivers? Too many bad roads? Occasionally I will see a Challenger or a Camaro spin out and crash but the majority of the time it’s a Mustang. It’s a hard pill to swallow as I own two Mustangs.

One has about four hundred horsepower and the other is about seven hundred and twenty five horsepower. Now, I am not a expert driver or a certified racing expert but I will tell you this. My seven hundred plus has traction control as a feature. I have that feature engaged all the time. I did enough reading on the subject and decided it was the best thing to do. Now, I can tell you the following from my own experience.

The rear end of my Mustang is Squirrley as best as I can describe. I know that is not the technical name for it but the back end seems a bit lost. If I accelerate hard to go through the gears that back end is loose. I need to be extra careful or I know it will come around on me. I have P Zero tires on the back so I thought maybe that was the issue. So, I asked a friend who has the same car but has the standard 662 horsepower with Goodyear Tires. Same issue. Hmmm. So, it’s not just me.

In a straight line the car is a rocket on wheels. However, I must be aware of all things all the time. Why? I can feel that back end starting to get away from me. So, it’s not just me. I understand many of the drivers we see on videos may be inexperienced and have too many ponies under the hood. Hence, they lose control. But why not the Hellcat or the Camaro? Certainly videos exist of those drivers losing control and spinning out but why so many Mustangs? Understanding that there are more Mustangs than the competition on the road so the numbers would be higher.

However, there must be more to this than I understand. You see I am not an engineer or a accomplished road racer. I am a regular guy who has been driving a lot of cars for a lot of years. I love my Mustang and hope to buy a GT350 at some point. I am merely suggesting something is wrong here. There are just too many people who have the same issue. Sure chalk most of the issue up to inexperience or just stupidity but there seems to be more to the problem. I know the Ford haters love this kind of talk and thrive on the misfortunes of others. But, this is serious stuff. We all have seen the videos of a weaving Mustang taking out people, bushes, other cars, and other hazards.

The videos were funny to start with as we all laughed at the poor driver wrecking his prized car. But when you start running over bystanders the joke is not funny anymore. So what’s the problem? What can we do? Is anyone in the car industry looking into this? Or, is the industry just chalking it up to poor driving? I don’t know the answers but I watch closely. Just today on dry roads I got on the gas pedal after leaving a parking lot. First and second gear went well but when I hit third and accelerated the back end got loose and I had to let up to correct it. This is not the first time it has happened but I got to thinking about it more today and decided to write about it. How about some critical thinking and concerning thoughts. This is serious and I hope we as a group can find out what the missing link is here.

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#Why Is The Ford Mustang So Tail Happy?

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joseph-william · 7 years

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smileprettyforthedevil · 7 years

Text

three or more Easy Steps to Fast as well as Lasting Weight Loss

3 Methods To Lose Weight That Will Last

In terms of losing weight there are no wonder pills or secret diet plans that can help you reach your fat reducing goals. But you can achieve ambitions with these 3 steps to aid lose weight.

Like most things inside losing weight (a lot of weight) boils down to conscious effort, self-control, determination and perseverance.

And now, with out further adieu here are your personal 3 basic steps for you to weight loss...

1 . EAT LESS

2 . not EAT BETTER

3. WORKOUT

You see, your body is a fine updated weight loss management machine. Should you follow the right plan and present your body only what it has to survive it will do every one of the hard work for you.

Given sufficient time and following the 3 measures above you can lose tens and even hundreds of pounds not having starving yourself or having bogus weight loss pills or hazardous body sculpting surgeries.

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1 . EAT LESS

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It really doesn't matter simply how much weight you have to lose. If you do not take control of both your conscious along with unconscious eating habits you'll be challenged if we have to lose even one single pound.

2 . TAKE IN BETTER

While it might not be easy to commence eating vegetables at every food the sooner you begin the better down you'll be and the quicker the will start to melt off your body.

a few. EXERCISE

SUMMARY

Losing weight (even a lot of weight) is not rocket science. Thus rest assured that anyone will succeed, even you. However , it may need all the patience, discipline, dedication and perseverance you can gather.

0 notes