The next BriefingsDirect big data news analysis discussion examines some
major announcements made at the HP Discover conference this week, the debut of
HP Haven OnDemand, a new set of analytics-in-the-cloud services.
Our panel of users and experts unpacks the details from Barcelona, and explores the implications of
the delivery of cloud-based HP
Vertica OnDemand and
HP IDOL OnDemand components within the HP
Haven OnDemand suite.
To learn more about how
big data changes everything via these
new HP cloud offerings, we're joined by
Fernando Lucini, Chief Technology Officer for HP Big Data;
Howard Brown, Founder and CEO of
RingDNA, based in Los Angeles, and
Neal Holley, Operations Director at
GateWest New Media Ltd., based in Bristol, UK. The discussion is moderated by me,
Dana Gardner, Principal Analyst at
Interarbor Solutions.
Here are some excerpts:
Gardner: Fernando, we've heard quite a bit of news the last few days at the
HP Discover 2014 Conference in Barcelona, and
HP Software General Manager Robert Youngjohns delivered
the details Tuesday about
HP OnDemand. Let's look at this from the big picture. Why are data and
analytics, combined with the
cloud-hosting model and delivery model, such a good fit? Why is this an important milestone for the cloud?
Lucini: It's exciting in a number of ways. If you think about what we've launched, we recognized early
that our customers, our partners, and developers out there were going to
consume technologies in a new way. This is something that the industry
all agreed on. We were just early birds in this and we recognized that
it's all going to be about on-demand consumption, self-service, speed,
elasticity, and all those nice things.
So in some respects, the industry wants to consume
things in this fashion. We recognize it, and then the next step for us
is to think about the people and what they're going to do with these
kinds of services.
You can think about it in two
different ways. You have the people out there in the real world who are
creating applications on top of very rich information, and that's the
mobile apps that we all use. It's the applications to look at both human
information, as well as business information, or very structured
information, creating applications that do that. We have that persona
and we really wanted to make sure that that developer had all the right
tools in that model on-demand, self-service.
The other part of the equation is the world of the
data warehouse,
where we have very large amounts of information. We're traditionally
applying analysis, but in this new generation, we need the tools that
can do this at a bigger scale, can do it quicker, and can be more
flexible. This is our Vertica technology and the same kind of on-demand,
self-service needs are out there. So the second part of our answer to
the question for industry is that we'll provide you an on-demand way to
serve that particular purpose.
The announcement comes from a number of good
reasons. It provides the market with an answer to both of these peoples'
needs. It does so in an incredibly elastic fashion and it does it with
incredible richness. It has quite a unique degree of depth and variety.
If you look at the
IDOL OnDemand functionality, there are new
APIs that you can explore and use with the
freemium model.
If
you look at the
Vertica OnDemand space, it allows you to manage
whatever size warehouse you need in an incredibly elastic and
transparent way, but still on-demand.
There’s so much to tell. It’s such an exciting
time for the industry, and being in HP, leading the charge, is pretty,
pretty impressive and important.
Great importance
Gardner: Clearly, this isn't news just for one part of an IT organization. This seems to have a great importance for
data scientists, IT operators, developers, even line of business users of
business intelligence (BI).
So let's look at this a little bit from the
perspective of the IT operator. This is something that's a cost issue in
many respects and broadens the use of something like IDOL and Vertica
to a much larger market. With it being in the cloud, you don't need to
set up your
data center and you don’t need to have those capital expenditures.
Let’s
start at the top, where we're talking about this as a cloud model. Why
does this broaden the market for data and analytics?
Lucini:
Go back to this IT operator. This guy or gal has always wanted to
provide their business with the tools. There was an element there where
these guys want to provide the analysis capabilities, they want to have
the ingestion and the features, but it’s a tough thing, as you very well
put it. There is capital expenditure, maintenance, and training.
As
the differentiator here, the move is that the acceleration is going to
be immediate. Let’s use simple examples, I want to be able to take video
and do
face recognition,
extract license plates, extract behaviors, or listen to voice and do
something, I want to do that and I don’t want the burden of all the
science that goes behind doing these things.
IT operators are going to be incredibly happy that they can provide the
business with what the business needs at a lower cost and get outcomes
quicker.
This IT operator is going to say, "No
problem. Here’s the link. You pay this as you go. Enjoy." And that's as
complex as it gets. So the acceleration is going to be immediate, which
translates almost immediately to create more and more applications and
doing more and more analysis, which is what we all want, at a lower cost
point in shorter times.
IT operators are going to be
incredibly happy that they can provide the business with what the
business needs at a lower cost and get outcomes quicker.
Gardner:
This should be of interest to large enterprises that might want to
augment their current warehouse approach and strategy. It also sounds
like for those organizations that may have been too small or didn’t have
the budget to set up their own on-premises data warehouse, they now
have an opportunity to walk right into a deep, powerful analytics
capability.
Lucini: It democratizes the whole
idea of analytics. You want to make it as democratic as possible. Size
isn't necessarily important with regards to intelligence, interest,
having something to say, or having something to analyze. It’s all about
making it democratic, and the cloud really helps in that.
It's
also about giving functionality that wasn't accessible to some of these
guys. We're talking about very advanced analysis -- technologies for
video, voice, or text analysis, let alone warehousing. It’s now
available to everybody. They can go in there, test it out, play with it,
see how valuable it is to them, and stop dreaming about the value, but
make the value. Then, if that’s what they need, they
can just start paying as they go and getting on with their lives.
General availability
Gardner:
Let’s dig into a little of the details. HP announced
Haven OnDemand on
December 2, with general availability coming in Q1 2015, so pretty
rapidly. Vertica, that’s the one that's coming up first and then IDOL
OnDemand is currently available as a freemium model, as you mentioned,
on an early access basis, but will be generally available in a few
months later into 2015.
What else should we know about the pricing here? Why is this compelling not only as an
OPEX versus a
CAPEX, but with pricing that is very compelling and attractive.
Lucini:
Indeed. In some respects, because you're removing the necessity to open
the hardware and to scale it up, we're also providing economies of
scale in what we're doing. In
HP Cloud Services, we have an amazing cloud that we can go to elastically, and everybody gets advantage of this.
If
you think about it, ultimately in one of these models, you get a lot of
people come in, have a look, play, investigate, understand, and learn.
Then, you get a smaller percentage that actually commit, do the greater
applications, and run their warehouses.
You should be in a position where you understand exactly what you're
using and what you are paying for it, and it should allow you to toggle
back and forth on that need. It’s pretty cool.
It
balances out and it allows us to have a lower price point. It also
allows us to charge as we go. It allows us a pay-as-you-go model. It all
works out. Over time, we'll understand more and more what people want.
This is being done in a very collaborative fashion, listening to the
market for on-demand.
In the very beginning, we have been very
Net Promoter Score focused. I challenge anybody to get yourself a login, and you'll see the Net Promoter kick in.
All
the analysis is very much linked to what you want to do, what’s
important for you, what’s being used most, and what gives us the most
economies. That drives us to be more competitive.
It’s
very transparent. It’s very clean. You should be in a position where
you understand exactly what you're using and what you are paying for it,
and it should allow you to toggle back and forth on that need. It’s
pretty cool.
Gardner: As for the actual cloud that this is running on, is there a choice with that or is this starting out on
HP Helion Cloud, the HP public cloud. What's the roadmap for the public-cloud infrastructure that this operates on?
Lucini:
At the moment, this is running in HP Cloud Services, which is Helion
based of course. It is all designed
on top of Helion. So the roadmap for
it in the next few courses will be that it will be deployed in any
Helion implementation. As long as you have Helion, you can deploy the
services underneath.
Of course,
Helion is a flavor of
OpenStack.
So you have the ability to use this in other flavors of OpenStack, but
we're principally focused on Helion. We're principally focused on the
Public HP Cloud Services and the private Helion implementations with our
colleagues from Enterprise Services.
No difference
In
some respect in the next year it should be a choice for you to go
public cloud for what you need to do. If you're a developer and you just
want to create your own app, the private-versus-public doesn’t make a
difference to you.
Corporate may want to use this inside a
firewall.
As you know, in HP we have some of the largest corporates out there. If
you're one of these guys and have the need to have that privacy you can
install Helion and run these services of top of Helion. Following the
HP philosophy, it’s a matter of what the client requires and we'll
achieve that.
Gardner: It sounds as if this has been made of, by, and for a hybrid cloud model over time.
Lucini: Correct. Most of our big customers are hybrid, and we're delighted to serve them.
In
the meantime, as they o go into a mode of using this stuff on Helion
inside of the firewall, they'll still get all the elasticity that Helion
provides them. They'll still get all the simplicity that
REST
and Web Services OnDemand provides them, and the flexibility that
Vertica OnDemand provides them for scalability In some respects, there
is no downside. There is absolutely no downside to anything that’s
happening here. It’s just a matter of choice.
In terms of pricing, I think we're competitive. The features and functions are worth the spend.
Gardner:
We'll get to our use cases and the examples of how this is being used
shortly, but I just want to look at the competitive landscape. A big
player out there, of course, in the public cloud is
Amazon Web Services, and Amazon has what’s called
http://aws.amazon.com/redshift/.
It's their data warehouse in the cloud. How does what HP has announced
compare and contrast to Redshift? Why is it a worthy competitor and is
this price comparable?
Lucini: Of course, guys
out there and everybody listening might know Vertica is a leading
product in the analytics space and in the warehousing space. So we're
coming at this already as a leader proven inside the firewall.
You get all of the economies, flexibility, and features that Vertica provides; the
Flex Zones, all of the optimizations, and the incredible scaling growth factors; and you get it in an on-demand package.
Just
because we now have an on-demand version, these things don’t go away.
It's quite the opposite. They're immediately available. In that respect,
I think we have a strong proposal against Redshift, because you have
all the features and functions, not only just the database itself.
In
terms of pricing, I think we're competitive. The features and functions
are worth the spend. Our customer base, our history, and our legacy
certainly prove that to be the case. Little by little, more and more of
the features will seep in, and more customers will start to get
comfortable with using it. We already have a few out there in beta land.
We're going to compete. Because of the features, the Flex Zones and other things, we'll carve our own space as well.
What is the differentiator?
Gardner:
One of the things that seems unique to me, Fernando, is the IDOL
OnDemand being so broad in terms of the types of media, content,
information, and data that can now be brought into what’s essentially
the type of analytics engine you would only think of for structured
information. So it's the best of the structured analytics and
high-performance environment, with that breadth and depth of the various
types of content. Is that a differentiator in your opinion?
Lucini:
Absolutely. I call it everything on-demand. As you notice, I tend not
to differentiate between BOD and IOD. The whole philosophy was that we
deal with unstructured, structured, and semi-structured information
every day to build what we need for our businesses. So why should we see
this differently?
If I happen to have an image, it's
an image. If I happen to have a file, it's a file. If I happen to have
an Excel sheet, it's an Excel sheet. All of these things are materially
important. So let’s give our application developer and our data analyst a
way to consume all this.
We have the connectors in
the cloud, ways for you to suck information into the platform. We have
the ability for you to index them and analyze them. We have some
protected APIs for you to have a play around with.
It's as broad in analytics as possible. At the same time, it's still
market leading in every single one of those APIs.
We have
text-mining
APIs. Obviously, this is a platform for us. So even though we're using
the word Vertica and IDOL, underneath IDOL OnDemand, we have Vertica
powering some of our features for user management. All our billing and
other APIs are coming up.
It's all about giving the
application developer all the tools. What the data is, isn't necessarily
important. What's important is that they can process it, use it,
extract as much value from it as possible, and make their business
successful.
So you are absolutely right. It's as broad
data-wise as possible. It's as broad in analytics as possible. At the
same time, it's still market leading in every single one of those APIs,
which is pretty cool stuff.
Gardner: Now, when you're able to bring all sorts of information and media together, when you're able to tap web services,
social media,
when you're able to create a sentiment engine and a search engine
capability, you're really starting to develop intelligence in new ways.
It
seems to me, you can gain insight into markets, prospects, competition,
customer inclinations, and directions. It's really about bringing more
of a data-driven aspect to a business in ways that had really been sort
of an art before, something that was not always by experience, but was
by gut instinct.
Before we go to our use cases, how
are we really changing a business environment here? Are we talking about
a data-driven approach? Are we giving the type of tools that will move a
marketing organization, for example, from guesswork into a scientific
approach to how they make decisions?
Testing instincts
Lucini:
You put it very nicely. We're moving into a world where we're allowing
instincts to be tested, and tested quickly. In the past, we had a lot of
clever professionals in the marketing world making educated guesses
about what’s going on, what I like and don’t like, what you like and
don’t like, or what’s popular and what’s not.
We're
opening the door for businesses to take data, take a sample of it or
take it all, it's their choice, whatever that may be, and in whatever
varieties they come, to test out their theories, to see if this theory
is correct.
I used to call it the CIO conundrum, where
the CIO thinks they've got something and it becomes very difficult for
them to prove if they do or don’t, and then they question the results
when they get them.
We want them to be able to test
this out. If they have an opportunity with their voice data and they
think there's massive value in the voice data and they want to
cross-correlate it to the social presence, do it, and let the data speak
for itself.
It's very exciting stuff, because there is a real change in the industry, and we all have to adapt to it.
It's
now no longer difficult. Just go into the platform, put the voice in
there, put the text in there, use the analytics tools, give us our
enterprise resource planning (ERP)
warehouse. We'll do the queries and we'll create what we call
combinations -- which is everything coming together as one -- and test
the value.
Now, it no longer matters that this is not a
very large project with very large budget. It will prove out the case.
We have a next generation of proving things out and being capable of
proving things out.
That might lead you to a very
interesting onsite project with our tools, where you're inside a
firewall, but you have proven it out. Or it might take you to a very
interesting on-demand implementation. Either way you perform the testing
or the proving or the thinking in a much more practical way.
It's very exciting stuff, because there is a real change in the industry, and we all have to adapt to it.
Gardner: Let's learn how some people have been using this
already to change their business. Let's go first to RingDNA. Howard
Brown, tell us a little bit about your company, what you do, and then
how you've been using Haven OnDemand from HP?
Brown: RingDNA is a comprehensive sales acceleration platform that
allows companies to create high-performance sales teams by combining
powerful communications tools with prospect or customer DNA. That's a
combination of marketing data, social data,
customer relationship management (CRM) data, and account history, and pulling that all together to allow a sales rep to perform sales faster.
Data for inside sales
Gardner:
It’s almost as if you're putting the tools of a data scientist in the
hands of a salesperson without them having to be a scientist, to get all
sorts of information to make the best call on a call in real-time on an
inside sales basis.
Brown: You've got it. It's
applying a scientific approach to sales. It's taking all of the data
that exists out there which can be truly overwhelming, prioritizing it,
and making it contextual to make sales much more effective.
Gardner: And this cuts across communications, as well as data, applications, and web services. Is that correct?
Brown:
Absolutely. We apply both a theory-testing model and set of
communication tools. When a RingDNA customer walks in in the morning,
they know exactly who they should be calling, who they should be
emailing or texting, and prioritizing the messages so that they know
exactly who to call, how to reach out to them, and what to say.
What HP IDOL OnDemand has provided us is the ability to test all kinds
of theories, because every business we work with tends to have a
different theory of what a hot prospect may be.
What’s
so exciting is that you can start to understand buyer intent from
marketing data from past interactions with your customers. We can look
at voice transcripts and sentiment analysis and have a whole new way of
determining who the right prospect is, how we should be contacting them,
and with what messages.
Gardner: So it's up to
your organization to take the best of technology, data, and analytics
and empower those inside salespeople. It sounds like it's been up to HP
to take the best of its technology in the cloud model and analysis to
empower you. How, in fact, has HP empowered RingDNA with your early
access use of HP Haven OnDemand?
Brown: It's
been truly game-changing. You nailed it when you talked abut taking
business information and human information and combining those two. What
HP IDOL OnDemand has provided us is the ability to test all kinds of
theories, because every business we work with tends to have a different
theory of what a hot prospect may be.
They can simply
and easily test those theories using RingDNA and HP IDOL OnDemand. If
there are buying signals, like someone visiting a website and
downloading a whitepaper in combination with other factors, such as that
person viewing web pages or maybe tweeting about their product or
service, we can look at that buyer’s sentiment through HP IDOL OnDemand.
We're
taking a bunch of this data, processing it through IDOL, and making our
reps that much more productive and that much more powerful.
Gardner:
One of the things you're doing is you are joining and bringing together
very disparate data and information and tidbits of analysis. Is HP IDOL
OnDemand doing that for you? Are you doing that? How do you make those
joins that bring all that information together? Is the cloud the key to
doing that?
Cloud is key
Brown:
The cloud certainly is the key. We couldn’t deliver the type of product
and service we do today without the cloud. RingDNA is all about
accelerating a sales team’s ability to close deals. The last thing you
want is to negatively impact those teams.
The cloud
model means we can quickly implement a RingDNA process within an
organization, bring in all that contextual data, bring in all that
metadata, and make that rep that much more productive without negatively
impacting their workflow.That’s critical to any business today.
It’s
one thing to be able to deliver information. It’s another thing to be
able to deliver information and insight without negatively impacting the
business. Let's face it, in this day and age, we can’t afford to slow
down. With tools like IDOL OnDemand and RingDNA, you’re not slowing down
teams. You're actually accelerating them beyond what you ever thought
was possible.
Gardner: Fernando, as you're
listening to Howard, is there anything about the way that RingDNA is
using Haven OnDemand that you think highlights some specific benefits or
values here. Are they a poster child for a certain type of way in which
you can use Haven OnDemand?
With IDOL OnDemand coming on stream, we’ve found that we had a whole world of options opened up to us.
Lucini:
Certainly they understand that they need to use tools to solve their
problems and they go ahead and do it. In that respect, it’s great to
see. There are a bunch of things we could learn as an industry from them
in terms of seeing the opportunity of mixing two pieces of data, how
these things collide, and how we get them to customers. I would
challenge anybody to check them out because ultimately the end result is
key, and I think everybody would be impressed.
Gardner:
Let’s go to our next example. We're also joined by GateWest and Neal
Holley. Neal, tell us a little bit about GateWest, what you do, and how
you’ve been using HP Haven OnDemand.
Holley:
We're HP Autonomy partners and have been since about 2002. During that
time, we have deployed and maintained many IDOL-based systems. We
provide a lot of support services to our clients on an annual basis. We
also provide user interfaces to the core engine, our internal
development team.
As well as enterprise search, we also specialize in
knowledge management (KM).
We have a couple of products addressing the management of knowledge,
particularly within law firms, and recently we launched an application
for the iTunes App Store providing mobile access to IDOL OnDemand, and
we see this part of our strategy of what we’ve termed Mobile KM.
Gardner: Tell me a bit more about the iTunes App Store app. What is it called, and how did you use IDOL OnDemand to build it?
Holley:
The app is called
KnowGate and it was developed in direct response to
the offering of
IDOL OnDemand. Over the years, we’ve found that IDOL
on-premise had a large cost of entry. Obviously, with IDOL OnDemand
coming on stream, we’ve found that we had a whole world of options
opened up to us. We were very surprised how straightforward it was to
take the standard tools for producing the iPhone apps and iPad apps and
interface them with IDOL OnDemand.
Great performer
It’s
given us that opportunity to bring the technology that we've worked
with for so many years and found to be such a great performer and hold
the audience that we’ve always wanted to bring it to. The offering has
allowed us to do that through its low cost of entry. As Fernando said,
it’s democratizing the tools of the very large corporates that we've
traditionally worked for.
Gardner: Help me to
better understand this. There is no easier way to adopt a technology
than to download it for a few dollars from the app store and instantly
fire it up on your mobile device. If I were to download that app today,
what would I be able to do with it? Who is the typical user? What is the
function that that they would gather from it?
Holley:
The typical user is predominantly a business user. The first instance
is that you would be able to access your KM, your valuable documents or
your key information that you need whether in a law firm, or whether
it's engineering specifications or your latest contracts.
That’s
the first element of it. The second element is being able to actually
capture knowledge while on the move and being able to take information
from an email or take a photograph of a document, OCR it, and then be
able to ingest that into IDOL OnDemand and share it with the rest of
your organization.
So it really opens up that kind of ability, and of course, once it’s shared it becomes valuable.
So it really opens up that kind of ability, and of course, once it’s shared it becomes valuable.
Gardner:
Very interesting. Fernando, we're seeing with GateWest, this joining of
the cloud model with the mobile model. How is that accelerating the use
of analytics? That is to say, an application that can gather data and
information and extend it to the cloud and then the cloud can create an
analytics value and then send it back to that mobile device? How are you
seeing that as a powerful new way of broadening the use and value of
analytics in general?
Lucini: If you think about
it, mobility is everywhere. We all create mobility and mobility apps
for everything you have. I'm sure you guys walk around with a mobile
device.
We have to be very clear that all of our
consumers, even if it's enterprise-consumers versus consumer-consumers,
all become little data analysts. We're all much better versed on
information than we ever were.
Now you see 18 year-old
kids or 20 year-old kids coming out of university and their ability to
manage information in their devices, in their environment, is
incredible. You no longer have a situation where you can associate
analytics from mobile.
Mobile apps are mostly about
analytics with some description, certainly about adding value to the
data that a user asks you to create it. When I say "create it," I mean
create it indirectly, create it by the motion on your wrist, versus you
directly writing something down. So you get these two sources of data.
But
it's certainly now such a rich space. Let me give you an example. You
can take what's coming out of the back of a device, which is probably
machine-driven, all the stuff that really the machine produces. You can
put that in Vertica OnDemand and that will be your warehouse for doing
the analysis on that: What am I doing, when, how, for how long, all that
kind of jazz.
Creating context
At
the same time, I'm producing the information directly from my mind. I'm
creating context, I'm writing, I'm speaking, or I'm recording, whatever
the case may be. Now, IDOL OnDemand can deal with that.
Anybody
creating a mobile app is not going to want to have a hard server-based
infrastructure, because the whole point of mobility is that it is
distributed. It is a distributed computing model.
Those
are kind of solutions that are on demand, in the cloud, elastic,
pay-as-you-go kind of things. They're perfect for this generation,
whether it's enterprise or not. The kind of partners we have are guys
who understand that their intelligence and the value they add is not
necessarily that they know a tool, but that they are the experts in
their space and they know how to balance Vertica OnDemand.
I
have my machine or business information and I need to do something
important with that. I have my human information and anything in
between, and it's the understanding of how this information adds values
to people’s lives and how they execute them that’s he key.
The beauty of our OnDemand infrastructure is that it was created for
everyone. It was created for our customers and it was created for
ourselves.
So it's a really important moment.
Mobile is the linchpin of much of what's going on around this that makes
sense. If you look at any company today, there's no chance that they
won't have a mobile intent.
At the same time, we have a lot of
hackathons
in OnDemand. I can tell you that 90 percent of the products that are
created as a result of hackathons are mobile. It kind of speaks for
itself.
Gardner: I know. The combination of the
cloud-delivery model, analysis on demand, or as a service and the mobile
device is just creating entirely new opportunities to add value as a
consumer and as a company. It's really flipping many businesses around.
Let’s
look at a particular business when we think about the impact of this
new series of models and how they interact. I'm thinking about the IT
organization in a company, in an enterprise.
With HP
Software having a very broad portfolio of applications, many of which
are designed and geared towards those IT organizations and developer
organizations in companies, how can Haven OnDemand with that
analysis-as-a-service capability be brought to bear on other HP software
applications focused on IT organizations?
Lucini:
The beauty of our OnDemand infrastructure is that it was created for
everyone. It was created for our customers and it was created for
ourselves. Not to unveil too many wonderful things, but there will be a
number of announcements of our own tools, which will be powered by
OnDemand. And we made a distinction of what is on demand versus what we
call core. It’s our language to speak about our internal use versus our
external use.
Organizational tools
These
are tools that help the IT organizations.We have tools for backup,
where the on-demand model will add great flexibility to what the IT
operators can do with the information and how they can serve the legal
compliance and partner infrastructures.
We have uses of
OnDemand for a wider HP software family where they provide analytics,
both for security as well as operational systems, and things like that.
So it's a very democratic tool. We recognize that the world of
information pivots on two things, and that’s why we created a platform.
It
pivots on our ability to incredibly scale up and analyze structured
information and semi-structured information. That’s why we have a
Vertica core engine. We recognize that human beings create information
and so we have our IDOL infrastructure.
And it's these
two things together that every single one of our internal partners, IT,
our own software product that tender to IT as well as external customers
only to leverage this product. And then in some cases it goes very
heavily one way, or very heavily another, you have a very, very strong
warehouse.
All of our internal partners look at us and say that they're coming at
it either from very human or from very machine, or actually in most
cases, both.
You always have that road-map of
possibility to get you to the other side, either more heavily toward
IDOL or Vertica. You can really start, for example, with a Vertica
OnDemand warehousing cloud, make it super-flexible, and put information
in Flex Zones, really massage that data, don’t be upset by schemas, and
then work as you go, and scale up.
At the same time,
think of what if you need some enrichment, what if you need to take some
information that’s coming in and asking to say take in your social
feed. So I need to take a voice feed and text information, classify it,
and put it into my Flex Zones. That is available, and in the opposite
direction, it’s exactly the same.
All of our internal
partners look at us and say that they're coming at it either from very
human or from very machine, or actually in most cases, both. This is the
roadmap to get them to take advantage of both in the same platform. So
you can see, it's very, very compelling for our internal partners to
use, and we are delighted to serve them.
Gardner:
I'm seeing a great deal of flexibility on the applicability of this.
We've seen from RingDNA how this can help an inside sales organization
do things they just could never have done before.
We
have seen from GateWest how this is essential to bringing knowledge
management and document management to a whole new level by combining the
best of cloud and mobile devices.
Then, as you're now
saying, we're only scratching the surface about how IT organizations
can use the cloud and the analytics as a service for improving their
application lifecycle management, their business service management, or
their application development test. So it's really an exciting time.
I'm
afraid we are about out of time for today’s discussion, but there's a
lot more that people can learn at hp.com in terms of Haven OnDemand.
Let’s just end with one more peek into the future. Fernando, what might
we expect next? Where do you think Haven OnDemand will go in the near
future in terms of a new type of business value?
Disrupting markets
Lucini:
Let me just say that we're going to disrupt a bunch of markets. We're
going to be looking to take over some markets out there that have been
very traditionally on premise and we're going to try to democratize it.
You can guess that we're going to take the world of video and voice and
we are going to make that very democratic.
There are
going to be lots of interesting things coming out where we're going to
allow our customers to create their own APIs and extend the platform
themselves. So there is a lot of that to look forward to.
We'll
also be extending our Vertica OnDemand presence, getting more-and-more
customers in there and getting more modes, using more of our Vertica
technology to add functionality in a REST kind of way, in a web-service
kind of way to the on-demand picture, and adding more and more APIs just
to reflect the richness of a platform. So it's clear to everyone that
this is only the beginning of an amazing story. So there are quite a lot
of APIs, but there are many, many more to come. So there is quite a lot
to look forward to.
Listen to the podcast. Find it on iTunes. Download the transcript. Sponsor: HP.
You may also be interested in:
Gardner:
With all these variables, this sounds like you're going to be gathering
an awful lot of information. You also need to reply back with your
results very fast or you lose the opportunity for that consumer to get
the ad and then even click through and make a decision. Tell me about
scale and speed. 
