Hype Cycle description

8/11/2019 Hype Cycle description

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Hype Cycle

Whenever the world hear about any new technology, people started to dream that it would result in

drastic change in the way we work. For business managers it would be an opportunity as a resource or a

capability which can give a competitive advantage and which work miracle for the organization. Thus

emergence of new and consequently demise of an old technology has been haunting organizations from

long time, they are also in dilemma whether to embracing a new technology is worth or to maintain a

distance with it. To understand the risk-return from an emerging technology, Gartner provides a

framework called Gartner Hype Cycles, they provide a graphic representation of the maturity and

adoption of technologies and applications, and how they are potentially relevant to solving real business

problems and exploiting new opportunities.

It educate the business managers whether to be an early entrant or have moderate approach or be an

late entrant into an emerging technology as per the context of their industry and the kind of risk they

are capable to take.


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0:09is the room to market your company about how you have to adopt the least

0:13innovation

0:13will be left in the dust by your competitors but what if you add up to

0:17World

0:18and then watch the initial crash and burn losing your best

0:22for what if you wait and miss out on the next big thing each time agreed in

0:27addition comes along

0:28with the recent new technology management ECM this is money he captured

0:32the public imagination

0:34the hype cycle


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0:36helps people understand

0:38how technology or other innovation

0:41progresses over its life cycle here's a hike cycle works

0:45first a break to generate Press industry interest in some innovation then buzz

0:50builds

0:51that's the in addition trip and a particular

0:54help them understand the subplot enthusiasm

0:58company each innovation so there may be a little more aware

1:02to take a look at what their business really needs

1:05problem just following the bandwagon what's being hyped out there in the

1:09marketplace

1:10then comes the peak up inflated expectations

1:13early adopters jump will the press including as tickling promotes

1:17the bandwagon effect kicks in as more companies rush to avoid being left at

1:22least

1:24social networking with saying just passed the peak at inflated expectations

1:28but a lot of activity in the consumer space and that businesses are looking to

1:33say

1:33what we do internally with this obviously

1:37very useful technology next the trough of disillusionment

1:41problems with performance slower-than-expected adoption

1:44for failure to deliver timely are alive leads to disappointment

1:48impatience results begins to replace initial excitement

1:52the press grows increasingly critical then comes the slope up in like

1:56the experiences of early adopters leads to a understand

2:00on the innovations true value the innovation matures

2:04as suppliers make improvements based on early feedback

2:07methodologies for successful application Arcana fide

2:10best practices are socialized real experience replaces


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2:14unfettered imagination as the primary driver expectations

2:17sometimes just the technology that takes so long to mature

2:22but other times it's around the business value what this brings the organization

2:26in the case all social networking and web to

2:30a lot of these technologies that come from the consumer space

2:33to anything out what it means to your organization

2:36takes the time before you get the real transformational business benefit

2:41finally reach the plateau productivity with real-world benefits

2:46the innovation demonstrated accepted growing numbers of organizations

2:51feel comfortable with and now greatly reduced levels

2:55a sharp uptick in adoption begins and penetration accelerated rapidly

2:59as a result proven useful value Gartner hype cycles will help you make adoption

3:04decisions

3:05at the right time for the right reasons in their new book

3:09mastering the hype cycle Jackie fan co author Mark risky no show you how to

3:13make the most of them

3:14my colleague got a research microscope you know and I

3:17decided to write lost in the hype cycle to really bring an understanding of what

3:22the hype cycle is

3:24why it happens what attracts people fall into

3:27but also what opportunities come out a bit to a much broader audience

3:31family half without got a client base we also wanted to give people a process

3:36that they could use to make smart innovation adoption decisions

3:41process that would incorporate the hype cycle

3:44on the standing at the hype cycle in determining

3:48which technologies to adopt when is the right time to adopt them

3:52how to move those ideas out into the business community

3:56you can avoid the high but you can learn how to ride it is success

4:00to learn more isadore not come up


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yeah I'm Sarah Lane and this is big thinkers

0:16

on big data today I am talking with Mike while teary

0:19

principal analyst at Forrester Research to get his feelings on what's happening

0:23

with big data

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what's going on right now our source like some people are too diverse

0:28

they're actually saying our big day we've been doing that for thirty years

0:31

and they're saying oh that's just type

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well I mean I guess any new term to be high

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I mean people you know there were there were on a

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people who dissed social media is that I it started from the technology side

0:44

it was motivated inspired by companies like Google

0:48

the most successful Big Data predictive analytics company in the world

0:51

those are the companies in the future I ate got a new Google phone

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and when I'm home I take the bus to work you know I live in Lexington

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Massachusetts

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take the bus to Cambridge and I don't like two weeks later after using this

1:04phone

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I picked up and had a notification with the bus schedule

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Mike what what you know at first I was like this is creepy

1:13


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but then I was like well it's kinda cool blessed notices like this is like having

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a butler

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and think about a butler a butler's not in your face

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right take over your shoulders there when you when you need it

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and that's really the potential love big data any personal

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what are some Emergen forms and big data that

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that you've seen a great example is wireless carriers bike

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how many people in this room are considering1:40

changing their wire wireless phone okay it's probably a lot of

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it happens all the time right an that's a lotta money

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and if you're paying a buxom under 100 bucks a month right that results in

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twelve hundred dollars

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plus it may influence your friends your family in all this so1:57

to telecom companies are use big data

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in predictive analytics to try to figure out which people are going to church so

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that they can make them offers an

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or maybe they don't wanna make them offers it's not a profitable customer

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let him go up

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now why is this a big data example because

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this is such a competitive market and there's so many factors influencing this

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any changes because everyone comes up a new planets new models of phones


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now turn just doesn't happen Telcom right

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happens in many other bits what about something

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more like retail or financial services imagine walking into Starbucks

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okay you walk in imaginary camp and that camera

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identifies you but not only does identify

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was a person but it has some mood and now sits on your face

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and it says low blood sugar and see you walk up there

2:47and all the sudden the Starbucks barista

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offers you three vanilla scones to solve that

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that blood sugar problems now might sound like science fiction but it's not

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because homeland security for example RT does video analysis

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in mood sis people want that media see has been able to

3:06to make use a big data what is the next step in to point it

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suspect at the supermarket there are hours since of items in the supermarket

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how they know where to put them which shelf and what quantities

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right they are crunching lots of big data

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to create a model to determine what they should put on the shelves

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those models could take hours sometimes they run overnight

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okay so when you when you when you're running a model like that and you have a

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chain

3:33


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up stores you can't run a model for every store

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ideally you would well now with Big Data technologies

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jobs that used to take six hours they can do n five minutes

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so in variety of verticals right now where do you see big data going

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Netflix ran a contest to create a recommendation engine yes so you know so

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when you got a Netflix are some recon these movies are for you

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they put the date out there they like data scientists have at it

4:00

to come up with an algorithm and they came in there were no dollar-priced4:03

there's a site called cable dot com won the contest the running is to try to

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prevent

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re admittance for second hospitalization right so someone goes into the hospital

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and then they get released and then they go back n

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30 days from now if you can take4:18

a thousand patients who've been hospitalized

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and then come up with a list of 10 who are likely to be

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on readmitted then you can take action on

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okay so if you're just sitting around and saying I've got my data warehouse

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and I'm producing reports and that's big data

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you're missing out okay this is going to be a competitive advantage that just

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don't

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we did out this is not just a trend to wait out


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this is real yes

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thanks for watching join us next time for more big thinkers

4:51

on date

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