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where Watson went wrong | P6040-025 exam Questions and Question Bank

Over the course of three nights in February 2011, IBM’s Watson supercomputer stunned the realm by using artificial intelligence to soundly defeat Jeopardy! champions Ken Jennings and Brad Rutter. It turned into practically a debutante second for the technology, with tens of millions of viewers tuning in to observe desktop trump man. certainly, the closing Watson episode become the 2nd-most considered application on the night it aired, at the back of best then-juggernaut American Idol.

With some distance much less ado, IBM all started moving Watson into healthcare that equal yr. The company partnered with WellPoint (now Anthem) on a challenge that used the laptop’s understanding of language and titanic records processing capabilities to suggest medicine alternate options and diagnoses to docs.

after which CEO Ginni Rometty famously declared that Watson fitness will be the company’s “moon shot.”

From that moment onward, the hype instruct turned into cruising. through 2013, the company settled upon cancer as Watson’s first fundamental area of focal point within the healthcare area. seemingly in a single day, it racked up an fantastic slate of companions, including Memorial Sloan Kettering, MD Anderson melanoma middle and the school of North Carolina faculty of medicine. The sizeable troves of statistics from these and different accomplice businesses can be used by way of Watson to increase cancer treatment, notably in helping medical doctors make prior and extra correct diagnoses.

youngsters, signs quickly all started to emerge that Watson’s promise can also were overblown. In 2015, just two years — and $sixty two million in spending — after their partnership began, MD Anderson melanoma center ended its collaboration with IBM Watson. The task they'd been laboring on, Oncology expert consultant, turned into anticipated as a supply of medication thoughts. The organizations had touted the platform’s means to use herbal language processing to examine affected person fitness data and search databases of cancer research.

by way of 2018, greater than a dozen IBM companions and purchasers had stopped or scaled again their oncology initiatives with Watson. past this 12 months, The Wall street Journal said that IBM was exploring the sale of Watson fitness — which, regardless of bringing in practically $1 billion in income, turned into no longer profitable. (IBM declined to comment for this story. in the meantime, based on a query from MM+M about instructions realized from its partnership with Watson, a consultant from MD Anderson provided here statement: “MD Anderson constantly evaluates the right way to enhance melanoma care and prevention and is committed to leveraging digital solutions to speed up the translation of research into developments for patients.”)

Watson’s failure to live as much as its grand ambitions holds critical training for healthcare entrepreneurs. after all, the story of Watson is, in lots of respects, a advertising story — in certain, a cautionary tale about the vigor of hype. needless to say, facts and advertising consultants have greater than a few theories about where Watson went incorrect.

Watson turned into the talk of the country after the laptop with no trouble defeated Jeopardy! legend Ken Jennings in 2011, but IBM’s promise that it could reshape healthcare didn’t are living up to the hype. source: Getty pictures.

Many factor to the sheer knottiness of healthcare information. “IBM didn’t rather consider the complexity of health facts, especially the indisputable fact that nearly all of them are on paper, and that they’re all recorded otherwise,” explains Relevate fitness group chief innovation officer Hans Kaspersetz. “They had to follow a big quantity of human vigor to observe hygiene to the facts, then to label it and get it into the database so that the machine getting to know algorithms might beginning to make sense out of it.” 

Daniel Leszkiewicz, EVP of healthcare analytics at 81qd, consents, adding the myriad decentralized facts sources in and around healthcare layered more complexity onto Watson’s slate. “A affected person can be going to Dr. Smith in a single sanatorium gadget to deal with his tumor for lung melanoma. however that doctor, and the EHR equipment that Watson was , didn’t recognize that the patient also went to the clinic two weeks in the past for respiration quandary, because they could be on different facts units,” he explains.

Leszkiewicz also points out that, in using natural language processing for predictive algorithms, “the records conversion from a chart or health list into what it in fact ability could be very complicated,” he says. as an instance it, he references decidedly non-medical terminology: “‘Mouse’ versus ‘mouse.’ what is the mouse that sits on my desk versus the mouse that squeaks and eats cheese?”

Or, as Kaspersetz puts it, “It’s tricky to translate text records into whatever thing that has points that can be represented mathematically, that you can then run during the algorithm, educate the algorithm on those facets and get first rate outputs.” 

for example, photograph statistics is lots more convenient. “a lot more of the rapid evolution of AI in healthcare has been in areas reminiscent of radiology, where that you may have a bunch of scans that examine picture to photograph,” Leszkiewicz explains. “computers are very first rate at image awareness; it’s a simple ask. once we’re speakme about what has succeeded in healthcare AI or prediction algorithms, that’s in reality probably the most core features: Ask an easy question that you can get an answer for.” 

The brand of IBM is seen on the entrance to the spotlight Towers in Munich, Germany, 15 December 2015. technology organisation IBM opens its worldwide headquarters for its ‘Watson IoT’ (information superhighway of issues) division inside the highlight Towers. artificial intelligence is to be used to Improve new options for the IoT. image: MATTHIAS balk/dpa | utilization global (image with the aid of Matthias cringe/photo alliance by means of Getty pictures)

As simple as this sounds, IBM under no circumstances evidently described the questions it was making an attempt to ask, in keeping with Ned Russell, managing companion of the healthcare follow at MDC partners. “The aspect that Watson in no way did was say very naturally, ‘here's the problem that we're going to remedy,’” he says.

eventually, Russell continues, a healthcare issuer desires two main things from its expertise: to convey enhanced affected person results and to limit fees. He cites the use in diabetes care of continual glucose monitors and linked insulin pens as examples of improvements that proved their worth, after which some.

“They work and they’re very functional, and also you recognize the difficulty that they’re fixing. but when someone is available in and says, ‘We are looking to seriously change the healthcare ecosystem,’ can it get any broader than that?” 

The promise of know-how to streamline tactics and in the reduction of the diagnostic burden on physicians, not to mention support retailer lives, is tremendously exciting. however Watson’s lack of ability to satisfy its lofty expectations strongly suggests the magnitude of remembering that these technologies are not held to the equal rigorous standards as medication, as an example, and that messaging around their expertise and efficacy should take that fact into consideration. in spite of everything, the U.S. meals and Drug Administration remains picking how ideal to adjust AI and desktop discovering in scientific settings.

“there's a big risk to their credibility as marketers after they drive hype cycles,” Kaspersetz says, noting current communication struggles around COVID-19 vaccinations. “As they circulate into the subsequent evolution of building around synthetic intelligence and laptop learning, it’s critical that they demand transparency into the analysis that helps it, into the facts sets and training corpuses that are used, and into the algorithms in order that they are able to ensure there’s not systemic or implicit bias and that they will reproduce the results in a scientific means.” 

None of this, needless to say, is to label Watson as an entire write-off. “whether or not they succeeded or failed is in reality within the eye of the beholder,” Leszkiewicz says. “They have been capable of make some inroads, and the concept of making use of AI to healthcare and fitness records has only grown totally.”

He cites predictive wearables such because the WHOOP wristband, which has proven in a position to establish COVID cases all the way through incubation and prior to the advent of symptoms through the use of a predictive algorithm that analyzes alterations in respiratory expense. Then there are the Amazon web functions tools that make it more convenient for providers and pharma groups to entry patient information at scale. whereas these examples aren’t pure AI plays, Leszkiewicz believes Watson has helped spur the development of facts sets so that it will aid AI make more impactful predictions in the future. 

Kaspersetz also sees a handful of huge-photo positives. “They created the market situations for an excessive amount of capital to flow in through venture capitalists, so that they may have an explosion of startups around desktop discovering, artificial intelligence in healthcare and healthcare advertising,”he explains.

by the use of instance, he features to his own company’s LexEdge, a observe-embedding evaluation tool which scans huge facts sets to discover themes which will pressure content strategy. Kaspersetz notes that its building became spurred “as a result of my event with Watson at their clients’ offices and recognizing that, if they brought a tool to market and they brought this expertise to their valued clientele, they might buy it from us. as a result of they had been buying it from Watson and IBM.”

As for what healthcare marketers may still be attempting to find in Watson’s inevitable successors, Russell is bullish on information that may aid patients act preventatively.

“The hope for connected contraptions, like an Apple Watch or my telephone or my Halo, is that I’ll be capable of know when whatever thing is going awry,” he says. “counsel with the intention to aid patients proactively control their fitness is what each person should be paying attention to.”

huge statistics also hang huge probabilities for continuous viewers engagement, which demands enormous volumes of content material. “we are able to use AI algorithms and laptop-studying algorithms to generate sparkling content. it may possibly speed up their means to examine very massive sets of content, primarily Reddit, Quora and Twitter, to investigate the interests of their audiences,” Kaspersetz says. “You’re going to look content material factories being developed inside the pharmaceutical organizations who are the usage of laptop getting to know and synthetic intelligence to accelerate their content pipelines.”

in the well-nigh six years considering MD Anderson ended its collaboration with Watson, expertise and AI capabilities have superior dramatically. It’s now not a start to indicate that, as electronic fitness information turn into greater moveable and biomarkers improve, the algorithms will as smartly. And as extra physicians develop at ease with leveraging information and AI know-how, “for you to create the acceptable context for a Watson-like solution to be valuable available in the market,” Kaspersetz says.

but when we’ve realized nothing else from Watson’s work in healthcare, it’s the magnitude of asking the right questions and tempering the largest expectations. “Human involvement is what is going to make an evaluation sing,” Leszkiewicz stresses. “a pc doesn’t all the time have the means to claim anything is off. that you would be able to’t just let an information scientist or a coder run loose without people who really be mindful what the query is.” 

We bought the Hype

again in February 2016, a handful of MM+M staffers had the probability to spend a day at the IBM Watson outpost in big apple city. They have been treated to an important presentation of Watson’s health-adjacent capabilities and walked away dazzled … looking back, a bit too dazzled.

MM+M’s coverage came in the type of Watson Week, which they described as “a new online sequence from MM+M examining IBM’s big wager on healthcare,” under are excerpts from the reviews MM+M posted as part of the collection.

The editorial crew’s tour of the Watson adventure middle in new york city begun on the Immersion Room, a mini theater wherein wraparound screens visualize the capabilities of Watson in healthcare. Their photographer turned into now not accredited internal, but they noticed a case study showing how Watson’s cognitive computing engine can be used by docs to pace up clinical analysis. IBM’s vision is for physicians to companion with Watson to “increase human capability.”

outdoor the Immersion Room, a Watson event manager demoed Watson for Oncology, which came about four years ago through a partnership with Memorial Sloan Kettering cancer middle. The device leverages de-recognized affected person records and tens of millions of journal articles and texts to reveal medication alternatives, each and every of which is color-coded for chance and self assurance degree. MSK curated the records set, and oncologists can view what reviews supported the concerns.

someone can walk into a bank fairly much anywhere on earth and use his or her ATM card to draw out cash, thanks largely to an infrastructure constructed by using IBM within the Seventies. Now, imagine the Watson cognitive computer being just as ubiquitous.

That’s IBM’s imaginative and prescient for its former Jeopardy! champion, and it’s without delay becoming fact. Already, there’s cognitive cooking on your kitchen and cognitive teaching to your day by day run. What’s Watson’s vision for drugs?

“There’s doubtless a thousand different use cases, and that’s what makes my job difficult as a result of there’s no single element we’re attempting to do,” mentioned bill Evans, chief advertising officer for Watson fitness.

We’d been struck no longer best by means of the unit’s $four billion in acquisitions in lower than one year, however additionally by means of the variety of biopharma, medtech and pharmacy giants Watson’s been partnering with — Apple, EHR issuer Epic, Johnson & Johnson, Medtronic, Teva, Novo Nordisk and CVS, to name just a couple of.

one of the vital use situations Evans alluded to may also be seen in these partnerships. With J&J, it’s leveraging cognitive insights to develop apps for sufferers making ready for and recovering from knee surgical procedure, and with Medtronic, it’s live-streaming records coming from insulin pumps to support diabetes patients predict a life-threatening experience.

This month Watson introduced another pharma collaboration: with Pfizer to create a far off-monitoring gadget to help patients with Parkinson’s sickness. “If there’s a pharmaceutical business we’re no longer speaking to at this aspect, I’d be shocked,” defined Evans.

MM+M requested him why IBM thinks it may possibly be triumphant in harnessing massive information for things just like the Triple goal the place other information and analytics suppliers haven't.

“We’re no longer a Johnny-come-recently business,” he replied. “here is a company that’s 100 and a few years historical; it’s 350,000 people worldwide. It’s got a legacy of being worthwhile to the agencies that it serves.”

however IBM has been a B2B healthcare business all these years. for example, its existence sciences division wrote the primary pediatric clinical checklist in the late Nineteen Sixties and has labored with health systems for decades.

With the launch of Watson fitness, the company is trying to be greater entrance-and-middle within the eyes of the client, and to make use of cognitive insights to enhance lives and in the reduction of waste.

Yet here we're, a 12 months after Watson fitness’s formal debut, and the corporation has skilled a growth spurt of a magnitude that no longer even its most pie-eyed optimists may have expected. Following probably the most fresh of Watson fitness’s purchases — Truven fitness Analytics, which introduced with it yet a different treasure trove of information — headcount has surged to round 5,500 people. distinction that with the condition a year or so in the past, when Watson health VP of partnerships and options Kathy McGroddy-Goetz robotically made massive choices in tandem with a few individuals of IBM’s criminal and tech teams. “and then they woke up one morning with all these new techniques,” she recalled with fun.

McGroddy-Goetz provides that her point of view has in a similar fashion developed. “A 12 months ago, i was probably appreciating what we’re doing extra from the perspective of a technologist,” she endured. “but as I spent greater time with their colleagues at Medtronic and with IBM americans who've a friend with diabetes, that’s when I saw how impactful every thing they do may be.”

McGroddy-Goetz elements to an instance that crystallized this influence in her intellect. “We met a child with diabetes who had a therapy dog that woke his parents in the middle of the nighttime when he became going hypo[glycemic]. It become harrowing,” she recalled. “As their relationship with Medtronic developed, it was virtually startling. ‘My God, the expertise we’re working on could supply [diabetic patients] three or four hours of increase note.’ Three or 4 hours in a condition the place each minute can also be crucial — that’s a large start.”

(published April 14, 2016)




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https://spaces.hightail.com/space/v47qz1ixkg/files/fi-721b442b-6b2a-4d38-8182-7a5794c200b6/fv-c19bf4ff-0589-4de8-b812-97006633e3a8/IBM-SurePOS-700-Series-Models-743-and-784-Technical-Mastery-(P6040-025).pdf#pageThumbnail-1
https://killexams.com/datafiles/rss/P6040-025-rss.xml
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