Thursday, August 08, 2013

T-Mobile Swaps Manual Cloud Provisioning for Services Portal, Gains Lifecycle Approach to Cloud Across Multiple Platforms and Data Centers

Transcript of a BriefingsDirect podcast on how a major telecom company has improved its IT performance to deliver better experiences and payoffs for its businesses and end users alike.

Listen to the podcast. Find it on iTunes. Download the transcript. Sponsor: HP.

Dana Gardner: Hello, and welcome to the next edition of the HP Discover Performance Podcast Series. I'm Dana Gardner, Principal Analyst at Interarbor Solutions, your moderator for this ongoing discussion of IT innovation and how it’s making an impact on people’s lives.

Gardner
Once again, we're focusing on how IT leaders are improving their services' performance to deliver better experiences and payoffs for businesses and end users alike, and this time we're coming to you directly from the HP Discover 2013 Conference in Las Vegas. [Disclosure: HP is a sponsor of BriefingsDirect podcasts.]

Our next innovation case study interview highlights how wireless services provider T-Mobile US, Inc. improved how it delivers cloud- and data-access services to its enterprise customers. We'll see how T-Mobile walked back use of manual cloud provisioning services and delivered a centralized service portal to manage and deploy infrastructure better and also improve their service offerings across multiple platforms and across multiple data centers.

To learn more about how T-Mobile enabled a lifecycle approach to delivering advanced cloud services, please join me in welcoming our guest, Daniel Spurling, Director of IT Infrastructure at T-Mobile US, Inc. Welcome.

Daniel Spurling: Thanks, Dana.

Gardner: Tell me about the trends that are driving your business now. We know T-Mobile as a mobile provider, but is this speed, is this competition? What are some of the big top-of-mind issues for you and your market?

Spurling: To answer that question, I'm going to frame up a little history and go into where T-Mobile has come from in the last few years and what has driven some of that business shift in our space.

As many know, in 2011 AT&T attempted to acquire T-Mobile. When that dissolved, there was a heavy recognition that we needed to drive greater innovation on our business side. We had received a generous donation, we’ll call it, of $4 billion dollars and a lot a spectrum. We drove a lot of innovation on our network side, on the RF side, but the IT side also had to evolve.

We, as an IT group, were looking at where we needed to start evolving within the infrastructure space, we recognized that manual processes are a very rudimentary way of delivering servers or compute storage, etc. This was not going to meet the agility needs that our business was exhibiting. So we started on this path of driving a significant cultural shift, and mindset shift as well as the actual technological shift in the infrastructure space, with cloud as one of the core anchor points within that.

Gardner: When you decided that cloud was the right model to gain this agility, what were some of the problems that you faced in terms of getting there?

Not a surprise

Spurling: When you talk about cloud, you have to define what cloud is. We recognize that cloud is almost like a progression of where we've been going within IT. It is not like it is a surprise.

Spurling
We've been trying to figure out how to enable more self-service. We've been trying to figure out how to drive greater automation. We've been trying to figure out how to utilize those ubiquitous network access points, the ubiquitous services, external or internal of the company, but in a more standardized and consolidated fashion.

It wasn't so much that we were surprised and said, "Oh, we need to go cloud." It was more on the lines of we recognized that we needed to double down our efforts in those key tenets within cloud. For T-Mobile, those key tenets really were how we drive greater standardization consolidation to enable greater automation and then to provide self-service capabilities to our customers.

Gardner: Were there particular types or sets of applications that you identified as being the first and foremost to go into this new model?

Spurling: That's a great question. A lot of people look at the applications, as either an application play or an infrastructure play, because of the ecosystem that existed when the cloud ecosystem was kind of birthing, a year-and-a-half ago, two years ago. We started more on the infrastructure side. So we looked at it and said, "How do we enable the application growth that you are talking about? How do we enable that from an infrastructure perspective?"
We recognized that we needed to double down our efforts in those key tenets within cloud.

And we saw that we needed to focus more on the infrastructure side and enable our partners within our IT teams -- our development partners, our application support partners, etc. -- to be able to transform the application stacks to be more cloud-capable and cloud-aware.

We started giving them the self-service capability on the infrastructure side, started on that infrastructure-as-a-service (IaaS) type capability, and then expanded into the platform-as-a-service (PaaS) capability across our database, application, and presentation layers.

Gardner: The good news with cloud is that you do away with manual processes and you have self-service and automation. The bad news is that you have self-service and automation, and they can get very complex and unwieldy, and like with virtual machines (VMs), sometimes there is a sprawl issue. How did you go about this in such a way that you didn’t suffer in terms of these new automation capabilities?

Spurling: I'm going to break it into two parts. Look at the complexity of an IT organization today, especially for a company of T-Mobile's size. T-mobile has 46,000 employees, around 43 million customers. It's not a small entity. The complexity that we have in the IT space mirrors that large complexity that we have in the business space.

Tough choices

We recognized on the infrastructure side, as well as in the application, test and support sides, that we cannot automate everything. We had to really drive heavy consolidation and standardization. We had to make some tough choices about the stuff that we were -- for lack of a better term -- going to pare off our infrastructure tree: different operating systems, different hardware platforms, and data centers that we were going to shut down.

We had to drive that heavy rationalization across all of the towers within our IT space, in order to enable the automation you talked about, without creating a significant amount of complexity.

On the sprawl question though, we made a conscious decision that we were going to allow or permit some level of sprawl, because of the business agility that was gained.

When you look at server sprawl, there are concerns around licensing, computer utilization, and stranding resources or assets. There are a lot of concerns around sprawl, but when you look at how much business benefit we got from enabling that agility or that speed to deliver and speed to market, the minimal amount of sprawl that was incurred was worth it from a business perspective.
You have to continue to deliver for your customers, but you need to prioritize what you are doing in that maintenance space.

We still try to manage it. We still make sure that we're utilizing our compute storage data centers, etc., as efficiently as possible, but we've almost back-burnered the sprawl issue in favor of enabling business.

Gardner: So with multiple platforms -- Windows, Linux, AIX, Unix -- and multiple data centers across large geographies, how can you do that without a larger staff? Do you find the centralization possible or is it really pie in the sky?

Spurling: It’s a bit of both. When you look at how much work there is to enable an automation solution, you almost have to be -- and my team hates it when I use the term -- ambidextrous. On one hand, you have to continue to deliver for your customers, but you need to prioritize what you are doing in that maintenance space and shave off a bit to invest in the innovation space.

You're going to have to make some capital investments, and maybe some resource investments as well, to drive that innovation the next step forward. But you almost have to do it within the space that you are coexisting in that maintains and innovates at the same time, because you can't drop one in favor of the other.

We did have to make some tradeoffs on the maintenance side, in order to take some qualified and some bright resources that we are excited about in our burgeoning cloud future, and then invest those resources to continue driving us forward in the technological and also cultural space. We made a significant cultural change too.

Gardner: That was going to be my next question. When it comes to making these transitions in technology, platform, and approach, I often hear companies say they have a lagging cultural shift as well. What did that involve in terms of your internal IT department making that shift more of a service bureau supporting your business like a business within a business?

Buggy whips

Spurling: A lot of times when you talk about evolution in either business context or kind of an academic context, you hear the story about the buggy whip. The buggy whip, back in the day, was something that everybody knew. About 125 years ago, everybody probably knew someone who made buggy whips or who sold buggy whips. Today, no one knows anybody who makes or sells buggy whips.

The buggy whip industry went away, but a brand-new industry emerged in the automobile space. In the same context. the old IT way of manually building servers, provisioning storage, and loading applications may be going away, but there is a brand-new environment that's been created in a higher value space.

As to the cultural shift you talked about, we had to make significant investments in our leadership to be able to help set a vision, show our employees where that vision intersected with their personal careers and how they continue to move on.

Then, you lead and help them to do that kind of emotional change. I'm not a server builder anymore. I'm now a consultant with the business on delivering a value, I'm now an automation engineer, or I'm now delivering future value and looking at new products that we can drive further automation into. That cultural change is ongoing, and it’s certainly not done.

Gardner: And given that this transition and transformation is fairly broad in terms of its impact, you don’t just buy this out of a box with your professional services. How did the combination of people, process, technology and outside your knowledge come together?
With those tools, with HP professional services, and with our own internal team members, we created a tactical team that went out there and "attacked cloud."

Spurling: When we started down the path, we had a lot of people in our teams who were really excited about making IT better. T-Mobile is full of people who are dedicated and excited about making T-Mobile the best wireless company out there. They're starting to change the conversation to make T-Mobile the best company that is enabling people to get access to the Internet, to their friends, to data, etc.

So the people were excited to jump on, but we still had a knowledge gap. We knew that, from a leadership perspective, we weren’t going to get the time to market that we wanted, by training our resources, helping them learn and make mistakes. We had to rely on professional services. So we partnered with HP very heavily to drive greater, instant-on services in our cloud solution.

On the technology side, we have everybody under the sun from a tooling perspective, but we do have a significant investment in HP software. We made a decision to move forward with the HP Cloud Suite. Pieces like HP Operations Orchestration (HPOO) or Cloud Service Automation (CSA), and building out those platforms to be the overarching cloud solution that, for lack of a better term, created that federation of loosely coupled systems that enabled cloud delivery.

With those tools, with HP professional services, and with our own internal team members, we created a tactical team that went out there and "attacked cloud," delivered that, and continues to deliver that now.

Paybacks

Gardner: Before we close out, and it might be too early in your journey to measure this, but are there any paybacks? Can you look at results, either business, technological, or financial from going to a cloud model, provisioning with that automation, advancing the technology, making those cultural hurdles? What do you get for it?

Spurling: I could talk for hours on this one question. When you break out all of the advances that we've made internally and all the business benefits that have been realized, you can break them into so many different categories, in green-dollar and blue-dollar saves, in resource saves, etc. I’ll highlight a few.

When we look at the cloud opportunity and the agility that has been gained, the ability to deliver things in an almost immediate fashion, one of the byproducts that we may not exactly have intended was that our internal customers have demanded in the past a lot of complexity or a lot of significant specific systems.

When we said, you can get that significant system, whatever it is, in a couple of weeks or you can get this cloud solution that delivers 95 percent of what you ask in a couple of hours, almost always those things that we thought were hard requirements melted away. The customer said, "You know what, I'm okay with this 95-percent deal because it gets me to my business objective faster."
Because of the investments we made in standardization and automation, our cloud portfolio, we were able to build out that capacity in record time.

Though we as IT thought you had to have that complexity, we're realizing now that that complexity may not have been required all along, because we are able to deliver so quickly. The byproduct of that is that we're seeing massive amounts of standardization that we could never have thought would organically be possible.

From an agility perspective, there's time to market. We had a significant launch with the iPhone, a big event in T-Mobile’s history, probably one of the largest launches that we've had. That required a significant amount of investment in our back-end systems because of the load that was put in our activations and payment inside our systems.

Because of the investments we made in standardization and automation, our cloud portfolio, we were able to build out that capacity in record time, in days versus what would have taken in weeks or months two years previously. We were able to support our business with very little lead time, and the results were very impressive for us as a business. So those two areas, that standardization and consolidation and that rapid ability to deliver on business objectives, are the two key ones that we take away.

Gardner: Daniel, let’s close out on the future. When you look to unforeseen events in your business, it could be mergers, acquisitions, changes in the market, new products, new applications, do you feel that the investments you’ve made in cloud also puts you in a position to be able to move rapidly? What future direction do you have in mind for your cloud trajectory?

Spurling: As I said in the beginning, we're just starting with cloud. That’s not fair to say. We are just continuing with cloud. We've done it in the past. We've used mainframes to distribute it.

Just one step

We’ve done application hosting with the Internet craze into software as a service (SaaS), that we now are seeing PaaS external to our internal organizations. We're seeing software to find everything starting to have a role. And there is a really interesting play that says, there is no end. Cloud is just one step in continuing to evolve IT to be more of a business partner.

That's really how we are looking at it. We're making great strides in that space. You talked about new applications or business mergers, etc. In every single area, we're setting ourselves up to be closer to the business, to move that self-service capability. I'm not just talking about a webpage. I am talking about being able to consume an IT service as a business leader in a simple way. We're moving that closer-and-closer to the business and we are being less and less of a gatekeeper for technology, which is super-exciting for us to see in the organization.

For us specifically, we're recognizing that the investments we made in our PaaS plays as well as test automation as well as some of the dev platforms. We're seeing those start to have payoffs in the fact that we're developing cloudware applications that are now scalable in a way that we've never seen before, without massive human invention.

So we're able to tell our business, "Go ahead and have a great marketing idea, and let’s move it forward. Let’s try that thing out. If it doesn't work, it’s not going to hurt IT. It's not going to take 18 months to deliver that." We're seeing IT able to respond about as fast as the business wants to go.
In every single area, we're setting ourselves up to be closer to the business, to move that self-service capability.

We are not there yet today. It’s a continuing journey, but that’s our trajectory in the next 6 to 12 months, and then who knows what’s going to happen, and we are excited to see.

Gardner: Well, great, I'm afraid we have to leave it there. We've been learning about how wireless services provider T-Mobile US, Inc. improved how it delivers cloud and data and applications to its enterprise customers, and we've seen how T-Mobile walked back the use of manual cloud provisioning and in order to move to a more advanced and automated approach and that has delivered some very impressive results.

So join me in thanking our guest, Daniel Spurling, Director of IT Infrastructure at T-Mobile US. Thanks so much.

Spurling: Thanks, Dana. It’s my pleasure.

Gardner: I'd like to thank our audience as well for joining us for this special HP Discover Performance podcast coming to you directly from the HP Discover 2013 Conference in Las Vegas.

I'm Dana Gardner, Principal Analyst at Interarbor Solutions, your host for this ongoing series of HP sponsored discussions. Thanks again for joining, and come back next time.

Listen to the podcast. Find it on iTunes. Download the transcript. Sponsor: HP.

Transcript of a BriefingsDirect podcast on how a major telecom company has improved their IT performance to deliver better experiences and payoffs for their businesses and end users alike. Copyright Interarbor Solutions, LLC, 2005-2013. All rights reserved.

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Tuesday, August 06, 2013

HP Vertica General Manager Sets Sights on Next Generation of Anywhere Analytics Platform

Transcript of a BriefingsDirect podcast on how HP Vertica is evolving to meet the needs of enterprises as data continues to grow.

Listen to the podcast. Find it on iTunes. Download the transcript. Sponsor: HP.

Dana Gardner: Hello, and welcome to the next edition of the HP Discover Performance Podcast Series. I'm Dana Gardner, Principal Analyst at Interarbor Solutions, your moderator for this ongoing discussion of IT innovation and how it’s making an impact on people’s lives.

Gardner
Once again, we’re focusing on how IT leaders are improving their business performance for better access, use and analysis of their data and information. This time we’re coming to you directly from the HP Vertica Big Data Conference in Boston and we're delighted to welcome the General Manager of HP Vertica to his debut on BriefingsDirect.

Please join me in welcoming Colin Mahony, General Manager at HP Vertica. Good to have you with us, Colin. [Follow Colin on Twitter.] [Disclosure: HP is a sponsor of BriefingsDirect podcasts.]

Colin Mahony: Thanks, Dana. It’s great to be here. I appreciate you having me.

Gardner: Well, it's been well over two years since HP acquired Vertica and, as we begin the inaugural 2013 Big Data Conference, how would you best characterize how Vertica has evolved since its founding back in 2005?

Mahony: Oh, wow. We’ve evolved quite a bit. It’s been a busy couple of years here, certainly post the acquisition. But I think at a high level, we’ve really shifted and expanded from being an MPP column store, very narrowly-focused database company, really into an analytic platform company.

With that comes several developments, obviously on the product side, but also as an organization, going through that maturation in terms of being able to operate at a global scale across the spectrum of what you would expect an analytics provider to offer.

Gardner: And how do you characterize the difference between a store and a platform? Are there many ecosystem players or is this an organic evolution of your capabilities or both?

Mahony: It’s both, the ecosystem and the tools that you interact with. And of course, we support a very rich and vibrant ecosystem of business-intelligencve (BI) tools, extract, transform and load (ETL) tools, and other types of management tools. Not just the ecosystem around it, but also looking within our own products.

Mahony
So it's adding a lot of the capabilities like backup and recovery, additional analytics capabilities beyond just standard SQL with the SDKs that Vertica supports, the ability to run both the procedural and the other types of code within the product, being able to express things like MapReduce beyond what a traditional database system would do.

Since the founding of the company, we've tried to take the best part of the database world and the best parts of the SQL world, but address the most challenging issues that traditional databases have had. So whether it is scalability or it’s being able to run things beyond SQL or it’s just the performance, those are all the things that we have taken into account while we built Vertica, and I think we have always been on the fast track to a platform.

We knew it would be a journey and we knew that building a product and a platform from the bottom up is not an easy thing, but we also knew that once we got there, once we sort of crossed that chasm, if you will, then all those decisions that made in the beginning about this product and building an engine from the bottom up would pay off.

Platform modularity

For probably the last year, that's where we’ve been. Right now, we're seeing that it’s easy to add functionality to the platform because of the modularity of the platform, and we can add that functionality without giving up any of the performance.

For me, it’s probably the most exciting time. Being part of HP offers us so many things that make it a lot easier to become a platform, not only on the development side, but a much greater ecosystem, a global scale, being able to support customers globally 24/7.

Gardner: This is a large conference. I'm pretty impressed with the attendance, but for our audience, this might be an introduction. Tell our listeners and readers a bit more about yourself and your background?

Mahony: I've been with Vertica since the beginning. In fact, long before Vertica, my background has always been databases. I've always loved computer science, and had a minor in computer science in my undergraduate degree. In my first job out of school, I was taking databases -- it's one of our competitors now, so I won't name them -- but I was using their database, and working with civilian US Government clients, and getting a lot of information published up to the web in the earliest days of the web.

I had a couple of other roles, but they were always very technology focused. Then I got my MBA on the business side and went into venture capital for seven years. That's where I met Mike Stonebraker, the founder of Vertica.
Those are all the things that we have taken into account while we built Vertica, and I think we have always been on the fast track to a platform.

I just loved the idea, everything I knew about databases and the challenges of traditional database and everything I knew about the new world order of information -- at the time we didn’t even talk about the term big data -- it just seemed to align really well.

So I decided to leave the dark side of venture capital and I jumped into something that I have been incredibly passionate about. If you look at that lifecycle even my own background with Vertica and where we’ve come, it’s just been a great. The timing was great and as always it takes a lot more than just great technology and great people.

There is definitely a lot of luck and timing, and I had the fortune of stepping into the right market at the right time, being part of a great team, and learning from a lot of great people along the way.

This is our first user conference. It’s ironic that we've never had one before, but I think also this is a testament to that scale I was referring to with what HP can bring. We have wanted a user conference since the beginning. Obviously, it takes some critical mass to get there which we now have, but also it takes the support of an organization that knows how to do these conferences and understand the value of them.

So it's just wonderful to be here. It’s wonderful to see all of these partners, customers, employees and friends of Vertica and HP here in Boston, of course Vertica’s hometown, so truly exciting.

Gardner: You mentioned the marketplace and the timing. I have to go back to that because in 2005, while scale and performance were very important. This whole notion of big data being so prevalent in the market really hadn't happened yet. What’s the state of the union, if you will, with this marketplace? Do more and more IT functions and business functions begin and end with Big data? It seems to be at the center of so many things.

Exponential growth

Mahony: It is. To go back to the founding of Vertica, I remember when Mike Stonebraker was giving the early presentations on the need for it. He talked a lot about the exponential growth of data and how that was outpacing any laws like Moore’s law or other hardware laws. So much information was being created, there was no way that just using more paralyzed hardware was going to be able to address the issue.

The state of the union back then was, just as you said, there was no such thing as big data, but I think Mike, as a visionary, knew what was going to happen in the industry. And it has happened.

It wasn’t a long time ago, but I remember that I was trying to find our first sample dataset that was over a terabyte and we had a difficult time finding it. When we would talk to the early customers, they looked at us like we were crazy when we were asking about a terabyte.

We have an easy time now finding terabytes of data. The state of the union today is that what's driving so much around big data is that you have obviously the volume, variety, and velocity that we talk about often, but what's really driving those three things is human information, whether it's social media, tweets, or expressive content that’s just so prevalent right now, as well machine information.

If you look at the traditional structured database market by any number, it’s a small percentage of the amount of data that’s out there. The strength of Vertica, and really the strength of HP overall, is that we have the best assets for the unstructured human information in Autonomy, as well as the best assets when it comes to machine information and large data.
When we would talk to the early customers, they looked at us like we were crazy when we were asking about a terabyte.

That has some structure. It’s semi-structured information, but it’s not your traditional transaction system. The power of all of that data comes together when you can have an engine that applies some structure to it and then is able to deliver the analytics that the organization needs. It's both IT as well as line of business, and even this new category we often talk about, which is the data scientist.

One of the great things about this show here is that we’ve got Billy Beane of Moneyball fame as our keynote speaker. The reason that we wanted Billy to come speak here is that Moneyball is exactly what’s happening right now in the world when it comes to big data.

You have the data scientist or the statistician, you have the line of business folks, and you have IT. They all have a part to play in the success of how information is used in companies. By bringing them together and by making the software that much easier for them to come together and solve these problems, you can create very real and differentiated value within organization.

So Moneyball is exactly what’s happening, certainly in corporate America, but also in government and in many other institutions that want to leverage information to be more efficient and create a competitive advantage.

Gardner: Before we delve into the latest and greatest with Vertica, let’s put some context around this. It’s only been a few months since the HP Discover 2013 Conference in Las Vegas where the HAVEn Initiative was announced. This puts Vertica in a very prominent place among other HP properties, technologies, platforms and approaches to solving this big data issue. Recap for us, if you would, what HAVEn is and why Vertica formed such an important pillar for this larger HP initiative?

Big-data lake

Mahony: What companies are looking for is this notion of the big-data lake. To me, it can mean many different things, but at the end of the day, companies want to take all the information assets that they have and they want to put them into a safe place, but a place where access to that information can be used by many different constituencies, whether it's IT, line of business, or data scientist.

So the notion of having a safe place, a harbor, or a port is what we announced as HP HAVEn, which is HP’s big data platform. It is primarily for analytics, but it can be used for just about anything when it comes to information and data.

What's so important about information right now is that there are different constituencies in the companies that want to take the information. First of all they want to capture all the information, not just structured, not just unstructured, but 100 percent of their information.

They want to get it to a place where they can leverage it and use it for a lot of different use cases, but the first part is get that information into the right place. For us, that is one of three components of HAVEn, which is the connectors.

We have over 700 connectors as part of HAVEn coming from Autonomy, coming from our Enterprise Security Group, the ArcSight core Logger and those connectors. That can be human information, extreme log information, or traditional database structured information.
They're driven by vast volumes of information and they close the loop, meaning that the experiences that are happening with an application.

Step one is the connectors to get these components. Step two is to put that data into the best engine for that data. Vertica obviously is one component, but you also have the Autonomy IDOL Engine, you have the ArcSight Logger engine, and also open-source technologies like Hadoop, which is actually the HP HAVEn. So we’ve got a place to put the information.

Step three is any N number of applications. What I'm seeing happening in the industry right now is just like we went from mainframe to client-server, and client-server to LAN, we're in a period now where applications are being developed. They're certainly web-based and distributed, but they're also analytical in nature.

They're driven by vast volumes of information and they close the loop, meaning that the experiences that are happening with an application, if you're driving a car, or whatever it might be, information is being passed, closed loop, back to a system that can then optimize the experience. That is creating a new class of applications.

For that new class of applications, you need the platform to be able to drive those. What we're bringing together in HAVEn is Hadoop, Autonomy, Vertica, Enterprise Security, core assets, and the N number of applications.

At Discover, we announced some of our own internal applications, which are powered by the HAVEn platforms. We announced our HP Analytics offering, which is built using Hadoop, Vertica, Enterprise Security, and Autonomy assets.

About community

We're making some of our own applications, but this is about the community and getting people to be able to build new set of applications that can use these components to really change how people are interacting with their data.

That’s HAVEn, and I am always careful to point out to people that HAVEn itself is not a product, but it's a platform and it’s a broader platform than the one that is just Vertica, Autonomy, or Enterprise Security. It’s a platform where 1+1+1+1+1, instead of equaling 5, should equal 8 or 10 or 12, and that's the goal. Of course, it's also a roadmap into areas that each of these components are working on to bring those closer together. So it’s exciting.

Gardner: Let’s look a bit more specifically at Vertica and try to factor why it’s differentiated in the market, but then also get a sense of where it’s going.

One of the things that strikes me about the market nowadays is that there seems to be a sense of tradeoffs going on when organizations are trying to pick their data engine or their platform. They have a set of value on one side, but it’s opposed by value on the other. They can’t have everything. One size does not fit all.

So how are you at Vertica able to help people deal with these tradeoffs that they're facing when it comes to a next-generation data platform?
Vertica was founded on the premise that one size does not fit all.

Mahony: Before I explain the tradeoffs, I couldn’t agree with you more, Dana. In fact, Vertica was founded on the premise that one size does not fit all. Using a single OLTP transactional database to do everything, including analytics, just doesn't make a lot of sense.

If you think about the areas that the people have to trade off, usually it’s scale for performance or analytics functionality for performance. One of things that I've spent a lot of time looking at is, especially over the last couple of years, is just some of the alternative platforms, not just for analytics, but for all of the different data needs.

You can take something like Hadoop as an example. Hadoop really is a distributed file system and has capabilities to run rudimentary analytics and transform processed data. But I think what people love about Hadoop is that it's really easy to load data into Hadoop. You don't have to define the schema or anything.

Instead of schema on write or load time, it’s schema on read time. People like that. They also like at least the perception that it is free and the scalability of it. On the database side, what people love about the database is that you're going to get really good performance, because the data is structured. If you're using a NexGen MPP platform like Vertica, you'll get the performance of the scalability.

So what we’re trying to do and what we've always done a pretty good job of at Vertica is look at the things that would make sense for Vertica to do. We look at expanding the platform in ways that, number one, we have the expertise and the capability to do, not only from the development standpoint, but from the support standpoint. And number two, we have the ability to create something differentiated. If we don't, or it’s not core, then we won’t do it, sticking to the purity of one size doesn’t fit all.

Hadoop-like

We've been doing a lot of work in areas like making it easier to get the data into the platform, doing more with it, making it seem much more like a Hadoop-like environment. You can look at our past releases and see that there's been a lot of work done on that and we continue to make those investments.

One thing has been consistent at Vertica since the beginning. What we focus on is to make it really easy for people to get information onto the platform. Then, we make sure we continue to deliver new capabilities, performance, and functionality within the platform.

We make sure we’re enabling our customers and partners to deploy Vertica anywhere and everywhere, whether it’s cloud appliances, software, or the like. Those are the three tenets of the company. It’s all around this notion of making data matter and help people make better decisions that lead to better outcomes with superior information.

There's so much that can be done in this space, but I think the key for us is to focus on the things that we know we do really well. The good news is that it's such a large space with so many demands that we know we can make a huge impact without trying to take on the world. We know we can make a huge impact in what we’re doing.

I think you'll continue to see some interesting developments along the lines of what I'm describing, and it's very much in line with where we've been.
No matter what on-ramp they take, they tend to find a lot of the other capabilities once they get on.

Gardner: While we're at the user conference, there are some great use cases and some examples. It's one of my favorite points of communication that it's always better to show than to tell.

Of the various user organizations and use cases here, are there are any that jump at you personally when you think about what Vertica started out as and what it became? Are there any ways that some users are putting this to work to really capture, "This is what we intended, and this is what we went through those paces to allow, to encourage, and to now see the fruits of?"

So, from all of the happenings here with the conference, what sort of gets your blood flowing?

Mahony: One thing I've certainly noticed over the years with our customers is that the shiny object of why a customer chooses Vertica may look very different across our customers. For some, it's the price. For some, it's the performance and the scale, massive volumes. For some it's a particular analytic function or several pattern matching capabilities. And for others, it's something entirely different.

But what's so exciting, especially about this conference, is that no matter what on-ramp they take, they tend to find a lot of the other capabilities once they get on. Hopefully, here at the conference, we're going to accelerate some of that just by getting our customers and our partners together in an environment where they can share stories.

Partners and customers

In fact, if you look at the agenda for the conference, it's very light on Vertica presentations. It's very heavy on partner and customer presentations, because this is the time that we want our partners and our customers to learn from each other. We want them to talk about how they are using it.

To answer your question directly, what gets me most jazzed up is when a customer is taking advantage of nearly everything that we do. Again, it's a cycle. It's not something that can happen immediately.

There are so many customers here that have been with us for four or five years and had just been great partners for the Vertica organization in terms of the feature we are developing and the direction that we are taking the product. They tend to be the ones who are using just about every feature in the product. So it gets me really excited.

I have got a customer that's got massive volumes of information, lot of diversity in the information, many different lines of business constituents who are accessing the information, data scientists, DBAs, programmers, different people who are creating applications and keeping the system up and through all that change in the organization.

Sometimes it's not only change in the organization, but potentially change in the industry and changing the way that people are interacting with data and may be changing healthcare outcomes, or drastically improving the quality of mobile phone service or other types of services.
It is about the connection between our customers and our partners, so that they can talk to each other.

So there isn't any one customer of whom I'd say, "You have to go see these guys." The reality is that you should see all of our customers and hear what they have to say. For me, that's the most important part of this conference.

It is about the connection between our customers and our partners, so that they can talk to each other. We can just be a fly on the wall and listen to some of the things that they're saying, good, bad, or ugly -- hopefully very good. But we can even hear things that they want us to improve. That's an important part of any company, certainly a software company, and that's what we're hoping to get out of it. For our customers and partners, they're going to get a lot of out of this just by talking to each other.

Gardner: Colin, what about the notion of business transformation. We've been hearing about this for 30 years. It's been big part of the academic work in business schools. Process re-engineering has evolved into balanced scorecards, and the flavor of the day is about how to change the nature of companies.

But it strikes me that this whole greater than the sum of the parts that you alluded to earlier, where data and analytics is made more available across easier applications to morph that, is inside the company that can then access more types of information across the boundaries of the organization into supply chain and ecosystems.

Getting more detailed information in real time about the customers and the marketplace probably has as much or more of a opportunity to transform businesses than just about anything else that's happened, with the possible exception of the Internet itself, over the past 20 years.

More than technology

So without going too much into a hype curve, the interest of the incredible amount of attention paid to big data in the past few years is about more than the technology. It's really about an empirical data-driven approach, a cultural shift if you will, within businesses. How you have been seeing that manifest itself here at the conference?

Mahony: It's an enormous opportunity for business transformation and definitely the  whole is greater than the sum of the parts. What makes companies really successful with information is not trying to boil the ocean, not trying to do a traditional enterprise data warehouse project that's going to take 24 months, if you're lucky, 36 most likely.

They’ll end up with some monolithic inflexible platform that will probably be outdated by the time it gets deployed. What is making a lot of companies successful is they find a particular use, they find a problem area that they want to drill down on, and they mobilize to do it.

For that, they need a solution that is quickly deployed, but also has that capability to become something much larger. Whether it's Vertica, Talend, or any of the other portfolios that we offer, we strive to make sure that somebody can get up and running quickly, whether it's Autonomy and human information analytics, Vertica and machine data or other types of transactional structured data.

The most important thing is that you find that business case, you focus on it, and prove very quickly. There's something we refer to as “Time to Terabyte,” which is less than a month, typically for Vertica. You get a return on investment (ROI) in less than a month for the investments that you made. If you prove that out, then everybody in the organization is happy, the line of business, the technology folks in IT, even the statisticians, data scientists.
It's not just about faster speeds and feeds. It's about fundamentally stepping back and asking how we're running this business.

From there, you start expanding the project, and that's exactly how we win most of our customers. We very rarely go in and say, "Buy an enterprise license for our product across the company." We certainly do those, but more typically we get into a business unit, we find the acute pain, and we solve that problem.

What they're betting on is the ability for us to expand and for them to expand in this platform. That's why we are, on the one hand, all about the platform and the integration, but on the other hand, not about to lose the flexibility and the modularity of what we do, because that's also a huge differentiator for HP's portfolio.

I think that this is a wonderful time in the world of business transformation, and I think, unlike what has been talked about for the last 30 years, you now have the data that can back it up and prove it in real-time to the organization.

That's the big difference. You gave the balanced scorecard as an example. If you look at the balance scorecard methodology, you can take that methodology and drill down into a thousand fields of detail and be able to get that information in real time. That's the opportunity here, and that's I think why this market is so huge.

It's not just about faster speeds and feeds. It's about fundamentally stepping back and asking how we're running this business. What assets, especially information assets, do we have that could dramatically boost the productivity to the same extent that computers, when they were first introduced, boosted productivity. That's the goal that everybody is looking for when it comes to information.

Cloud and hybrid

Gardner: For our last item today, I wonder if we could take out our crystal ball apparatus and try to do a little blue-sky thinking. One of the other big trends these days of course is cloud computing and hybrid models for the distribution of workloads for applications, but also for data. I'm wondering, as we go down this journey over the next year or two, how do big data and cloud computing come together?

There's this notion of an analytics platform-as-a-service (PaaS) deploy for developers, but now maybe more for data scientists and for those that are doing BI and other analytic chores. How do you foresee some of this whole greater than the sum of the parts extending beyond the technical capabilities into the deployment models and what is that portend, for  additional paybacks or payoffs?

Mahony: As I mentioned in terms of the three things that we are focused on, number one is make it easy to get data into the platform. Number two is do a lot more with the platform, so that there is better analytic capabilities, better pattern matching, and better analytics packs on top of it.

Number three is make sure you can deploy Vertica everywhere, and in the everywhere and anywhere categories, the cloud is certainly the first name that comes to mind. That is absolutely the future of computing. In some ways, I guess, it's the past, but it's interesting how the past repeats itself.
All these activities that are happening up on the cloud are generating a lot of information, information that will be analyzed, I'm sure, in many different ways.

We do run Vertica on hosted environments like Amazon cloud. We're in a private beta on the HP Cloud Service. So there are definitely offerings and developments that that has been underway here at Vertica for a while.

We embrace that, and to us, it's not mutually exclusive. What you described in the hybrid environment where you can run certain things locally. You can burst up to the cloud to do other workloads, especially if you're looking to pull some quick processing power and storage. That's going to be the future and that's the way, just like any other utilities, that we're going to consume some of these capabilities.

This is one of the strengths of a company the size and scale of HP. We have these offerings, whether it's software only, appliance, or cloud. We have the ability to deliver however the customer wants it, and we can also provide not only the flexible technologies, but the flexible business capabilities to make that happen with a lot of ease.

It's an exciting time. If you look at the pillars of the HP, we have cloud, mobility, big data, and security. All four of those pillars tie well into one another, because they're all related. Of course, all these activities that are happening up on the cloud are generating a lot of information, information that will be analyzed, I'm sure, in many different ways.

So it's something that kind of feeds on itself, the same way the mobility does. All of that is a good thing for the analytic space, wherever it is. The final thing I would say is that  the most important thing about analytics is that you do want it embedded into the various applications, just like when you are driving a car, you just want the GPS system to tell you where you are going.

Analytics is the same. You want it within the context of whatever it is that you are doing. Given that so many things are going to be served off the cloud, it's natural that that's the place that will host some of the analytics as well.

So it's an incredibly exciting time, and we're looking forward to having many more of these User Conferences and are certainly going to enjoy the rest of the show this week.

Gardner: Well great. I'm afraid we will have to leave it there. We've been learning more about the ongoing evolution of the HP Vertica platform and its capabilities, and we've developed better understanding about Vertica's growing role and making among the most challenging big data analytic chores more successful and impactful.

So, join me in extending a huge thank you to our special guest Colin Mahony, General Manager at HP Vertica. Thanks so much.

Mahony: Thank you, Dana. [Follow Colin on Twitter.]

Gardner: And also thank you to our audience for joining us for this special HP Discover Performance podcast, coming to you from the HP Vertica Big Data Conference in Boston.

I'm Dana Gardner, Principal Analyst at Interarbor Solutions; your host for this ongoing series of HP sponsored discussions. Thanks again for listening and come back next time.

Listen to the podcast. Find it on iTunes. Download the transcript. Sponsor: HP.

Transcript of a BriefingsDirect podcast on how HP Vertica is evolving to meet the needs of enterprises as data continues to grow. Copyright Interarbor Solutions, LLC, 2005-2013. All rights reserved.

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Wednesday, July 31, 2013

Gaining Dependability Across All Business Activities Requires Standard of Standards to Tame Dynamic Complexity, Says The Open Group CEO

Transcript of a BriefingsDirect podcast on the need to mitigate risk and compliance issues in a unpredictable world.

Listen to the podcast. Find it on iTunes. Download the transcript. Sponsor: The Open Group.

Dana Gardner: Hello, and welcome to a special BriefingsDirect Thought Leadership Interview series, coming to you in conjunction with The Open Group Conference on July 15, in Philadelphia.

Gardner
I'm Dana Gardner, Principal Analyst at Interarbor Solutions, your host and moderator throughout these discussions on enterprise transformation in the finance, government, and healthcare sector.

We're here now with the President and CEO of The Open Group, Allen Brown, to explore the increasingly essential role of standards, in an undependable, unpredictable world. [Disclosure: The Open Group is a sponsor of BriefingsDirect podcasts.]

Welcome back, Allen.

Allen Brown: It’s good to be here, Dana.

Gardner: What are the environmental variables that many companies are facing now as they try to improve their businesses and assess the level of risk and difficulty? It seems like so many moving targets.

Brown: Absolutely. There are a lot of moving targets. We're looking at a situation where organizations are having to put in increasingly complex systems. They're expected to make them highly available, highly safe, highly secure, and to do so faster and cheaper. That’s kind of tough.

Gardner: One of the ways that organizations have been working toward a solution is to have a standardized approach, perhaps some methodologies, because if all the different elements of their business approach this in a different way, we don’t get too far too quickly, and it can actually be more expensive.

Perhaps you could paint for us the vision of an organization like The Open Group in terms of helping organizations standardize and be a little bit more thoughtful and proactive toward these changed elements?

Brown
Brown: With the vision of The Open Group, the headline is "Boundaryless Information Flow." That was established back in 2002, at a time when organizations were breaking down the stovepipes or the silos within and between organizations and getting people to work together across functioning. They found, having done that, or having made some progress toward that, that the applications and systems were built for those silos. So how can we provide integrated information for all those people?

As we have moved forward, those boundaryless systems have become bigger and much more complex. Now, boundarylessness and complexity are giving everyone different types of challenges. Many of the forums or consortia that make up The Open Group are all tackling it from their own perspective, and it’s all coming together very well.

We have got something like the Future Airborne Capability Environment (FACE) Consortium, which is a managed consortium of The Open Group focused on federal aviation. In the federal aviation world they're dealing with issues like weapons systems.

New weapons

Over time, building similar weapons is going to be more expensive, inflation happens. But the changing nature of warfare is such that you've then got a situation where you’ve got to produce new weapons. You have to produce them quickly and you have to produce them inexpensively.

So how can we have standards that make for more plug and play? How can the avionics within a cockpit of whatever airborne vehicle be more interchangeable, so that they can be adapted more quickly and do things faster and at lower cost. After all, cost is a major pressure on government departments right now.

We've also got the challenges of the supply chain. Because of the pressure on costs, it’s critical that large, complex systems are developed using a global supply chain. It’s impossible to do it all domestically at a cost. Given that, countries around the world, including the US and China, are all concerned about what they're putting into their complex systems that may have tainted or malicious code or counterfeit products.

The Open Group Trusted Technology Forum (OTTF) provides a standard that ensures that, at each stage along the supply chain, we know that what’s going into the products is clean, the process is clean, and what goes to the next link in the chain is clean. And we're working on an accreditation program all along the way.

We're also in a world, which when we mention security, everyone is concerned about being attacked, whether it’s cybersecurity or other areas of security, and we've got to concern ourselves with all of those as we go along the way.
The big thing about large, complex systems is that they're large and complex. If something goes wrong, how can you fix it in a prescribed time scale?

Our Security Forum is looking at how we build those things out. The big thing about large, complex systems is that they're large and complex. If something goes wrong, how can you fix it in a prescribed time scale? How can you establish what went wrong quickly and how can you address it quickly?

If you've got large, complex systems that fail, it can mean human life, as it did with the BP oil disaster at Deepwater Horizon or with Space Shuttle Challenger. Or it could be financial. In many organizations, when something goes wrong, you end up giving away service.

An example that we might use is at a railway station where, if the barriers don’t work, the only solution may be to open them up and give free access. That could be expensive. And you can use that analogy for many other industries, but how can we avoid that human or financial cost in any of those things?

A couple of years after the Space Shuttle Challenger disaster, a number of criteria were laid down for making sure you had dependable systems, you could assess risk, and you could know that you would mitigate against it.

What The Open Group members are doing is looking at how you can get dependability and assuredness through different systems. Our Security Forum has done a couple of standards that have got a real bearing on this. One is called Dependency Modeling, and you can model out all of the dependencies that you have in any system.

Simple analogy

A very simple analogy is that if you are going on a road trip in a car, you’ve got to have a competent driver, have enough gas in the tank, know where you're going, have a map, all of those things.

What can go wrong? You can assess the risks. You may run out of gas or you may not know where you're going, but you can mitigate those risks, and you can also assign accountability. If the gas gauge is going down, it's the driver's accountability to check the gauge and make sure that more gas is put in.

We're trying to get that same sort of thinking through to these large complex systems. What you're looking at doing, as you develop or evolve large, complex systems, is to build in this accountability and build in understanding of the dependencies, understanding of the assurance cases that you need, and having these ways of identifying anomalies early, preventing anything from failing. If it does fail, you want to minimize the stoppage and, at the same time, minimize the cost and the impact, and more importantly, making sure that that failure never happens again in that system.

The Security Forum has done the Dependency Modeling standard. They have also provided us with the Risk Taxonomy. That's a separate standard that helps us analyze risk and go through all of the different areas of risk.
You can't just dictate that someone is accountable. You have to have a negotiation.

Now, the Real-time & Embedded Systems Forum  has produced the Dependability through Assuredness, a standard of The Open Group, that brings all of these things together. We've had a wonderful international endeavor on this, bringing a lot of work from Japan, working with the folks in the US and other parts of the world. It's been a unique activity.

Dependability through Assuredness depends upon having two interlocked cycles. The first is a Change Management Cycle that says that, as you look at requirements, you build out the dependencies, you build out the assurance cases for those dependencies, and you update the architecture. Everything has to start with architecture now.

You build in accountability, and accountability, importantly, has to be accepted. You can't just dictate that someone is accountable. You have to have a negotiation. Then, through ordinary operation, you assess whether there are anomalies that can be detected and fix those anomalies by new requirements that lead to new dependabilities, new assurance cases, new architecture and so on.

The other cycle that’s critical in this, though, is the Failure Response Cycle. If there is a perceived failure or an actual failure, there is understanding of the cause, prevention of it ever happening again, and repair. That goes through the Change Accommodation Cycle as well, to make sure that we update the requirements, the assurance cases, the dependability, the architecture, and the accountability.

So the plan is that with a dependable system through that assuredness, we can manage these large, complex systems much more easily.

Gardner: Allen, many of The Open Group activities have been focused at the enterprise architect or business architect levels. Also with these risk and security issues, you're focusing at chief information security officers or governance, risk, and compliance (GRC), officials or administrators. It sounds as if the Dependability through Assuredness standard shoots a little higher. Is this something a board-level mentality or leadership should be thinking about, and is this something that reports to them?

Board-level issue

Brown: In an organization, risk is a board-level issue, security has become a board-level issue, and so has organization design and architecture. They're all up at that level. It's a matter of the fiscal responsibility of the board to make sure that the organization is sustainable, and to make sure that they've taken the right actions to protect their organization in the future, in the event of an attack or a failure in their activities.

The risks to an organization are financial and reputation, and those risks can be very real. So, yes, they should be up there. Interestingly, when we're looking at areas like business architecture, sometimes that might be part of the IT function, but very often now we're seeing as reporting through the business lines. Even in governments around the world, the business architects are very often reporting up to business heads.

Gardner: Here in Philadelphia, you're focused on some industry verticals, finance, government, health. We had a very interesting presentation this morning by Dr. David Nash, who is the Dean of the Jefferson School of Population Health, and he had some very interesting insights about what's going on in the United States vis-à-vis public policy and healthcare.

One of the things that jumped out at me was, at the end of his presentation, he was saying how important it was to have behavior modification as an element of not only individuals taking better care of themselves, but also how hospitals, providers, and even payers relate across those boundaries of their organization.
One of the things about The Open Group standards is that they're pragmatic and practical standards.

That brings me back to this notion that these standards are very powerful and useful, but without getting people to change, they don't have the impact that they should. So is there an element that you've learned and that perhaps we can borrow from Dr. Nash in terms of applying methods that actually provoke change, rather than react to change?

Brown: Yes, change is a challenge for many people. Getting people to change is like taking a horse to water, but will it drink? We've got to find methods of doing that.

One of the things about The Open Group standards is that they're pragmatic and practical standards. We've seen' in many of our standards' that where they apply to product or service, there is a procurement pull through. So the FACE Consortium, for example, a $30 billion procurement means that this is real and true.

In the case of healthcare, Dr. Nash was talking about the need for boundaryless information sharing across the organizations. This is a major change and it's a change to the culture of the organizations that are involved. It's also a change to the consumer, the patient, and the patient advocates.

All of those will change over time. Some of that will be social change, where the change is expected and it's a social norm. Some of that change will change as people, generations develop. The younger generations are more comfortable with authority that they perceive with the healthcare professionals, and also of modifying the behavior of the professionals.

The great thing about the healthcare service very often is that we have professionals who want to do a number of things. They want to improve the lives of their patients, and they also want to be able to do more with less.

Already a need

There's already a need. If you want to make any change, you have to create a need, but in the healthcare, there is already a pent-up need that people see that they want to change. We can provide them with the tools and the standards that enable it to do that, and standards are critically important, because you are using the same language across everyone.

It's much easier for people to apply the same standards if they are using the same language, and you get a multiplier effect on the rate of change that you can achieve by using those standards. But I believe that there is this pent-up demand. The need for change is there. If we can provide them with the appropriate usable standards, they will benefit more rapidly.

Gardner: Of course, measuring the progress with the standards approach helps as well. We can determine where we are along the path as either improvements are happening or not happening. It gives you a common way of measuring.

The other thing that was fascinating to me with Dr. Nash's discussion was that he was almost imploring the IT people in the crowd to come to the rescue. He's looking for a cavalry and he’d really seemed to feel that IT, the data, the applications, the sharing, the collaboration, and what can happen across various networks, all need to be brought into this.
Each department and each organization has its different culture, and bringing them together is a significant challenge.

How do we bring these worlds together? There is this policy, healthcare and population statisticians are doing great academic work, and then there is the whole IT world. Is this something that The Open Group can do -- bridge these large, seemingly unrelated worlds?

Brown: At the moment, we have the capability of providing the tools for them to do that and the processes for them to do that. Healthcare is a very complex world with the administrators and the healthcare professionals. You have different grades of those in different places. Each department and each organization has its different culture, and bringing them together is a significant challenge.

In some of that processes, certainly, you start with understanding what it is you're trying to address. You start with what are the pain points, what are the challenges, what are the blockages, and how can we overcome those blockages? It's a way of bringing people together in workshops. TOGAF, a standard of The Open Group, has the business scenario method, bringing people together, building business scenarios, and understanding what people's pain points are.

As long as we can then follow through with the solutions and not disappoint people, there is the opportunity for doing that. The reality is that you have to do that in small areas at a time. We're not going to take the entire population of the United States and get everyone in the workshop and work altogether.

But you can start in pockets and then generate evangelists, proof points, and successful case studies. The work will then start emanating out to all other areas.

Gardner: It seems too that, with a heightened focus on vertical industries, there are lessons that could be learned in one vertical industry and perhaps applied to another. That also came out in some of the discussions around big data here at the conference. The financial industry recognized the crucial role that data plays, made investments, and brought the constituencies of domain expertise in finance with the IT domain expertise in data and analysis, and came up with some very impressive results.

Do you see that what has been the case in something like finance is now making its way to healthcare? Is this an enterprise or business architect role that opens up more opportunity for those individuals as business and/or enterprise architects in healthcare? Why don't we see more enterprise architects in healthcare?

Good folks

Brown: I don't know. We haven't run the numbers to see how many there are. There are some very competent enterprise architects within the healthcare industry around the world. We've got some good folks there.

The focus of The Open Group for the last couple of decades or so has always been on horizontal standards, standards that are applicable to any industry. Our focus is always about pragmatic standards that can be implemented and touched and felt by end-user consumer organizations.

Now, we're seeing how we can make those even more pragmatic and relevant by addressing the verticals, but we're not going to lose the horizontal focus. We'll be looking at what lessons can be learned and what we can build on. Big data is a great example of the fact that the same kind of approach of gathering the data from different sources, whatever that is, and for mixing it up and being able to analyze it, can be applied anywhere.

The challenge with that, of course, is being able to capture it, store it, analyze it, and make some sense of it. You need the resources, the storage, and the capability of actually doing that. It's not just a case of, "I'll go and get some big data today."
The focus of The Open Group for the last couple of decades or so has always been on horizontal standards, standards that are applicable to any industry.

I do believe that there are lessons learned that we can move from one industry to another. I also believe that, since some geographic areas and some countries are ahead of others, there's also a cascading of knowledge and capability around the world in a given time scale as well.

Gardner: Well great. I'm afraid we'll have to leave it there. We've been talking about the increasingly essential role of standards in a complex world, where risk and dependability become even more essential. We have seen how The Open Group is evolving to meet these challenges through many of its activities and through many of the discussions here at the conference.

This special BriefingsDirect discussion comes to you in conjunction with The Open Group Conference 2013 in Philadelphia, and it is focused on Enterprise Transformation in the Finance, Government, and Healthcare sectors.

Please join me now in thanking our guest, Allen Brown, President and CEO of The Open Group. Thank you.

Brown: Thanks for taking the time to talk to us, Dana.

Gardner: This is Dana Gardner, Principal Analyst at Interarbor Solutions, your host and moderator through these thought leadership interviews. Thanks again for listening, and come back next time.

Listen to the podcast. Find it on iTunes. Download the transcript. Sponsor: The Open Group.

Transcript of a BriefingsDirect podcast on the need to mitigate risk and compliance issues in an unpredictable world. Copyright Interarbor Solutions, LLC, 2005-2013. All rights reserved.

You may also be interested in: