TCO in YOUR Next Gen Comms World
TCO in YOUR Next Gen Comms World
CAPEX, OPEX, and the true cost of comms webinar with E. Brent Kelly. Originally aired July 11, 2012
New C-Suite Tech Optimization Chief Information Officer On
CAPEX, OPEX, and the true cost of comms webinar with E. Brent Kelly. Originally aired July 11, 2012
New C-Suite Tech Optimization Chief Information Officer On
ERP Manufacturing Experience Keynote
Tech Optimization Chief Information Officer Chief Supply Chain Officer On <iframe src="http://player.vimeo.com/video/61423262" width="500" height="375" frameborder="0" webkitAllowFullScreen mozallowfullscreen allowFullScreen></iframe>For all the silliness surrounding Big Data and Data Science, all the hype and all the controversy, there are actually very innovative and disruptive technologies coming from this area, this new approach to data management and analytics [DMA]. How do we categorize the vendors or the technologies that have never existed before?
One new area is Predictive Analytics, also called Predictive Intelligence. Since predictions are not analytics, as the term is used in BI, and certainly not the Intelligence used in BI, I don't like either, but prefer the simpler "Predictives". Four companies with which I've had briefings, fall into the Predictives category, but each of these companies have very different approaches and technologies for performing predictives. These companies are Opera Solutions, Alpine Data Labs, INRIX and Zementis. There are other companies that I'll include in a full report after receiving briefings, such as KXEN, Soft10 and Numenta. By the way, Numenta's product is named "Grok". Given their differences, do they really all belong in the same category?
Opera Solutions: Acting on petabytes of data, Opera Solutions provides a signal hub stack starting with data management, going through pattern matching in the signal layer, and, enhanced by their own Data Science teams, resulting in predictions and inferences for better decisions for enterprise advantage, understanding the "signal" is more important than the underlying technology, to actually create front line productivity through signals manifesting and adjusting "gut feel" where machines don't direct humans but do the heavy lifting.
Alpine Data Labs: Alpine Data Labs brings mathematical, statistical and machine learning predictive methods to the data in situ, no matter how small nor how big the data sets, within a variety of RDBMS technologies and Hadoop distributions. Alpine Data Labs helps data science teams address the data where it lays, across data types and functional areas, working with all the data to bring insight to bear on better decisions.
INRIX: INRIX data science teams and technology provides unique predictives using connected cars, connected devices and connected people.
Zementis: Zementis brings predictive modeling into decision management through their data science teams, Adapa product and strong commitment to the predictive markup modeling language [PMML]. Through partners and customers Zementis works with traditional and innovative data sources to provide decision management from predictives, data mining and machine learning for marketing solutions, financial services, predictive maintenance and energy/water sustainability.
One of the more interesting things to come out of data science is how do you really understand the data that is being gathered and presented. Two of the companies with which I've recently have had briefings, challenge the categories of Data Discovery or Data Exploration. However, each of these companies have different technologies, and different approaches to fully, deeply understanding your data, and to being able to draw conclusions from the data before doing other, more formal analytics. Over the past month, I've had the good fortune of having very in-depth, in-person briefings by both of these companies. Both of these companies are helping those who need it most to truly, fully, deeply, easily understand their data. These approaches, while very, very different, both constitute an entirely new category. Beyond data discovery, beyond data exploration, I call this new category Data Grokking.
"Grok" as I wrote in 2007, means to
"to fully and deeply understand"; [but to you need some background on the word's origins]. It's Martian and not from any Terran language at all. It comes from the fertile mind of Robert A. Heinlein, and was brought to Earth by Valentine Michael Smith in Heinlein's wonderful 1961 novel Stranger in a Strange Land.
One of these companies is still in stealth mode, and I won't mention their name here. The other is Ayasdi, and Ayasdi takes a very, very interesting approach to grokking your data.
These two very different technologies, based upon very different science and mathematics, do indeed allow us to fully and deeply understand our data. Much like the Martian ceremony, the DataGrok allows us to mentally ingest our data, to realize creative insights from our data sets, and to recognize the fundamental interweaving among the data, that, prior to these two innovative firms, could only come about through a long, arduous struggle with the data sets.
As I mentioned, the one company is still in stealth mode, so I'll write about Ayasdi here.
Ayasdi comes out of the intersection of Topology and Computer Science, as brought together by two Stanford Professors, Gurjeet Singh and Gunnar Carlsson. The project started as a DARPA contract that has spanned more than four years, comptop. The CompTop project included Duke, Rutgers & Stanford nodes. Topological methods discover the structure of the data - this is somewhat analogous to, but not the same as the probabilistic or cummulative distribution or density functions [pdf, PDF, cdf or CDF].
Ayasdi is focused on four markets:
From this, you can see that Ayasdi customers go after expensive data, i.e. expensive to collect, expensive to use. Iris is the front end to the Ayasdi Platform, and while available as a private cloud, their offering is primarily SaaS.
The analyst community is trying to figure out where to put Ayasdi, thus my category of DataGrok. Another area of confusion is "What is the right tool of each step of the process from DataGrok to inferences and predictions?" Some of this stems from mistrust of machines, but we need machines that do more than count and sort, we need machines that help us to find insight and improve performance.
Data to Decisions Chief Customer Officer Chief Information Officer Chief Marketing OfficerShift From CMO to CDO Is In Progress
Today’s marketing strategies increasingly depend more on digital and on data than in the past. With more data, marketers can measure against a new set of metrics that matter including:
Unfortunately the shift to digital requires a greater reliance on technology. Historically, CMOs relied on IT for help on the database or CRM system or even the website. However consumerization of technology and the cloud have now given marketers more control on their technology destiny. In fact, a recent post by fellow analyst Gavin Heaton on “CMO to CIO, It’s time we talked” highlights many of these new challenges.
Expect Seven Strategies To Emerge In The Shift To CDO
Consequently, many marketing leaders are making the shift from CMO type roles to Chief Digital Officers as marketing leaders align technology closer with strategy. This shift from analog marketer to a Chief Digital Officer role will result in seven trends for 2013 (see Figure 1.)
Figure 1. 2013 Trends Signal Shift From Classical CMO to Digital CMOs or Chief Digital Officers
The Bottom Line: Business and IT Must Stay Aligned But Not Tethered
The pace of business remains fierce. Marketers must move quickly while IT teams have to provide the scale and standardization to keep costs in line. Organizations should assess the persona or penchant for adopting disruptive technology before determining governance, organizational structure, and objectives as the CDO role emerges. Market Leaders should choose to create a new role of CDO by bringing the best of CMO and CIO into a new area. Fast Followers should bring IT and CMO closer together before creating this new role. Cautious adopters and laggards should wait and see if there is a need for this position.
Your POV
Will you create a CDO position? Do you have a CDO position and how does it work. We’d love your feedback! Add your comments to the blog or send us a comment at R (at) SoftwareInsider (dot) org or R (at) ConstellationRG (dot) com
Please let us know if you need help with your digital marketing efforts. Sign up for a Constellation Academy Workshop or let us assist with:
Related Research
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Disclosure
Although we work closely with many mega software vendors, we want you to trust us. For the full disclosure policy, stay tuned for the full client list on the Constellation Research website.
* Not responsible for any factual errors or omissions. However, happy to correct any errors upon email receipt.
Copyright © 2001 – 2013 R Wang and Insider Associates, LLC All rights reserved.
Contact the Sales team to purchase this report on a a la carte basis or join the Constellation Customer Experience!
Marketing Transformation Innovation & Product-led Growth Leadership Chief Marketing Officer Chief Experience Officer
MWC 2013 saw many OS announcements and commitments, but not from the usual culprits – Microsoft (Windows 8, various forms), Apple (iOS, various forms) or Google (Android, with all its multiple bifurcations). Instead a motley collection of desperate telephone carriers took the principle biscuit (committing to the Firefox OS); then there were Samsung (with Tizen), Canonical (with Ubuntu/Linux) and Jolla (with Sailfish, ex MeeGo). The only clear indicator amongst so muchOS enthusiasm was that these companies seem lured by the ever present siren call of owning your own OS, and to have forgotten the past.
Since the arrival of Windows back in the 1980s many have tried to build operating systems (with varying degrees of lack of success – think OS2) and then tried to establish a what is now referred to as an ecosystem– that collection of applications and developers and content platforms that combine to attract users (whether enterprise or consumer) who want to buy. Arguably only two OSs have emerged since Windows that have attained widespread adoption:
In one case, iOS, the OS is tightly controlled and is almost an incidental in Apple’s successes of the past 10 years. In the other, Linux succeeded and continues to succeeds because it is open and without overt licence fees. When Google bought Andy Rubin’s Android Inc. it (Google) made a shrewd bet that an open OS for mobile devices could attract success — because it was not closed (like iOS) and yet was not punitively expensive (and elderly) like Windows Mobile and before this Windows CE. Both Apple and Google have progressed, not least because of their huge investment in both OSs but also because they brought applicable marketing and an acute sense of what an ecosystem means to developers, content providers and users alike.
What MWC2013 saw was a group of largely second rate mobile voice carriers (Telefónica, KDD, Deutsche Telekom, Etisalat, Smart, Sprint Telcom Italia, Telenor, Qtel, Singtel, VimpelCom and more) along with a miscellany of device manufacturers (Alcatel, Sony, ZTE and Huawei — placing bets every each way in the hope of winning some market share ) bellowing in envy at what Apple and Google commercially have achieved. Not fair they cry: we want a slice of the monies Apple and Google are obtaining because of our networks.
Their answer they decided (or so it would seem from MWC013) is to try to replay the OS game yet again — quite failing to remember three fundamental factors:
For enterprise’s interested in mobility Firefox OS should represents little more than a minor distraction. That is emphasized by (say) Telefónica’s avowed attitude — that the Firefoc OS is intended for low cost smartphones for Southern American markets. It seems far more probable that low cost Android, and even WindowsPhone 8, devices will appeal more, because of their existing app base.
So what of the others:
From the enterprise mobility viewpoint, MWC2013 offered four different Linux-based initiatives to add to Andoid. Of these only one, that from Canonical, seems to have a real IT as well as consumer logic behind. The other three are, at least for 2013 and 2014 and probably 2015, almost irrelevant — however much their proponents trumpet. The killer, in each case is likely to be a mix of enterprise dissatisfaction combined with apathy as well as minimal app developer and content provider ecosystems. But that does not stop the siren song of owning an OS attracting the foolish (which is why Odysseus had himself tied to the mast — something that many mobile carrier and device mnufacturer executices should have also copied).
Chief Information OfficerOpening presentation Connected Enterprise 2012.
Data to Decisions Future of Work Marketing Transformation Matrix Commerce New C-Suite Next-Generation Customer Experience Tech Optimization Chief Customer Officer Chief Executive Officer Chief Financial Officer Chief Information Officer Chief Marketing Officer Chief People Officer Chief Procurement Officer Chief Supply Chain Officer On <iframe src="http://player.vimeo.com/video/61436353" width="500" height="281" frameborder="0" webkitAllowFullScreen mozallowfullscreen allowFullScreen></iframe>
Greater Adoption In Social Business Signifies A Move To Consolidate Platforms
Constellation’s buy-side clients tend to fit in the market leader or fast follower categories when it comes to organizational personas of disruptive technology adoption. Since 2010, respondents have progressed through the DEEPR framework and the latest results from 2012 indicate that most survey respondents have moved to Level 3 (see Figure 1). Changes between 2010 and 2012 show the following top three priority shifts as users move from Level 2 (Experimentation) to Level 3 (Evangelization):
Figure 1. Respondents Shift to Level 3 in DEEPR Framework for Social Business Adoption
The Bottom Line. Its Time To Scale The Technology While Pushing Ahead On Innovation
The era of best of breed disparate platforms purchased by siloed departments is over. It’s time to consolidate different platforms and scale. This natural evolution in the DEEPR framework means IT must scale while line of business focuses on innovation (see Figure 2).
Figure 2. IT Must Scale As Line of Business Pushes The Limit On New Platforms
Catch the relevant research report “Disruptive Technology Adoption: An Executive Primer”
Your POV.
Ready to fight change management and adoption head on? Have a story on how you’ve achieved engagement? Add your comments to the blog or send us a comment at R (at) SoftwareInsider (dot) org or R (at) ConstellationRG (dot) com
Please let us know if you need help with your Social Business efforts. Sign up for a Constellation Academy Workshop or let us assist with:
Related Research:
Reprints
Reprints can be purchased through Constellation Research, Inc. To request official reprints in PDF format, please contact Sales .
Disclosure
Although we work closely with many mega software vendors, we want you to trust us. For the full disclosure policy, stay tuned for the full client list on the Constellation Research website.
* Not responsible for any factual errors or omissions. However, happy to correct any errors upon email receipt.
Copyright © 2001 – 2013 R Wang and Insider Associates, LLC All rights reserved.
Contact the Sales team to purchase this report on a a la carte basis or join the Constellation Customer Experience!
New C-Suite Future of Work Next-Generation Customer Experience Innovation & Product-led Growth Leadership Chief Customer Officer Chief People Officer Chief Marketing Officer Chief Experience Officer
Steve Jobs did a wonderful thing when he put sensors (GPS, accelerometers, gyroscopes, compasses, etc.) into the iPhone and the the iPad family. Others have followed, adding barometers, light sensors and more besides. But there is a downside — battery usage — as well as an upside — the potential to save that battery usage by making more intelligent use of these sensors, and not only to maximize power utilization.
These points were brought home at MWC by Kevin Shaw, the CTO at Sensor Platforms (of San Jose, CA). Sensor Platforms specializes in producing platform-agnostic software to enable SOC manufacturers and device manufacturers to make best use of the sensors on mobile devices. One objective is not to disable sensors and even the main power-hog, the CPU, when they are not needed.
For example, consider GPS. When you go into a building you lose GPS signals. But on most mobile devices that does not mean the GPS function switches itself off, until you go outside again. Rather the opposite is true: the GPS tries and tries to find satellites and in so doing greedily consumes the battery. In different ways this is true for all sensors: if they are running when they are not in use they use up that valuable battery resource.
In the mobile world — especially in the enterprise mobile world where battery performance is at a premium, to last at minimum a long work day — battery performance matters. With each new device release, whether laptop or smartphone or tablet, the reviewers crawl over of the mAh ratings to forecast longevity in use. Yet the irony is that the quickest and least expensive way to lengthen battery life is to use less electricity. If one can turn off parts of the system that are not being used, this reduces consumption.
At MWC Kevin went further and produced two Samsung SIIIs, one with Sensor Platform’s Sensor Fusion/Context Aware platform and one without. The Context Aware software uses that mobile’s sensors even when those users are not directly interacting with their devices, so that apps can know the users’ context (what he or she is doing). He argues that “This empowers a new generation of smart devices that will improve people’s lives without intruding on their activities”.
Sensor Platforms optimizes by:
He then showed how intelligent application of the sensors enables greater context awareness. The SIII with the software could detect when he sat down or stood up (the other could not). It could also detect when he put the equipped SIII in his pocket and when he took it out. He even showed that the increased sensitivity could detect when one went up 1 floor or down 3 floors (using the barometric change in pressure). Indeed this ability to measure vertical changes was accurate already to about 30cm, and constantly improving. And all of this was accomplished while reducing power consumption (switching off unnecessary power consumers on a device when it is in a pocket or briefcase, for instance or reducing main CPU usage when less power hungry components of a mobile device can do the same for less).
What might this mean for an enterprise?
The first, and possibly the most important, is that devices which have “sensor control”, like that provided by Sensor Platforms, incorporated by vendors will have longer usage times. Unfortunately, this not an easy capability to establish before you buy — and will not be until SOC manufacturers and device vendors publicize what is possible.
The second is more interestingfor the enterprise. With increased context awareness new capabilities can be added to not only the device but potentially to apps. For example, in a medical application you may want to know from the combination of sensors that someone has fallen over, which might in turn trigger an alarm. Similarly, if you know where you are located (from GPS) before you go into a building, the use of accelerometers, compasses, barometers and other sensors will enable accurate positioning within that building, and even on what floor. This sort of capability could open up mew types of accurate indoor solutions that are not amenable to solving by GPS today.
There is a caveat. Sensor Platforms basically sells only to manufacturers. To this analyst an opportunity may be begging — to provide the software tools (or platform) to assist app developers to build more intelligent apps that used sensors better — even when the device manufacturer has not integrated Sensor Platforms-like capabilities in to a device. While doing it this way might not be an energy efficient as embedding the capabilities at the SoC or device level, the opportunities enabled might be all the more startling for enterprises.
Chief Information Officer

Founded in 1996, CERTPOINT (formerly Vuepoint) offers comprehensive learning solutions including LMS, LCMS, content authoring, competency management, integrated web conferencing, mobile access and social learning to more than 1300 clients across more than 80 countries. Marquis customers include Toyota, Honda, Motorola, Ralph Lauren, LANCOME and Weightwatchers. Like Infor, it boasts a hybrid offering, delivering on-premises, hosted and SaaS-based offerings; the majority of its clients, however, utilize the SaaS applications, consistent with adoption trends in the human capital management (HCM) market. CERTPOINT also provides consulting services including content development, implementation and strategic consulting. It currently employs approximately 50 staff, most based in New York.
Today, Infor is the third largest provider of enterprise applications and services, with a valuation of $16B and five consecutive quarters of double-digit license revenue growth. It doesn’t just compete with Oracle and SAP, however; it increasingly competes with the likes of Workday and Ultimate as clients look to the cloud for Enterprise HCM. The acquisition of CERTPOINT not only completes the Infor HCM suite, it does so through a SaaS offering that enables rapid, low cost deployment and frequent innovations in a business-critical area. Additionally, CERTPOINT provides support for the extended enterprise – training for partners, suppliers and customers – including eCommerce capabilities for companies that deliver training for profit. With Infor Mingle, Infor’s social platform still in development, CERTPOINT’s social learning will also be a welcome and timely addition to the Infor HCM suite.
As always, the devil is in the details, but given that CERTPOINT today integrates with many HCM solutions (including its strategic partner, Ultimate Software), the initial phase of the Infor/CERTPOINT integration should come to market quickly, with more strategic points of leverage following in subsequent iterations. Infor clients will benefit from this acquisition through the additional depth of learning capabilities; CERTPOINT clients will have a new, integrated path to consider as they evaluate the upgrade or replacement of their current HCM infrastructures.
Event Report: #InforSummit Reveals More Than a Redesigned Infor
Seven Ways Infor is Advancing HCM (Hint: Lawson is but One)
Filed under: Cloud, ERP, Future of Work, Global HCM, HCM, Hybrid IT, Infor Lawson, Learning and Development, M&A, Mobile/Social, SaaS HCM, Service Delivery, Social Learning, Talent Management Tagged: CERTPOINT, Cloud, Collaboration, constellation research, Enwisen, HCM, HR, HR Tech, Lawson, Mobile device, Next Generation apps, SaaS, Social Learning, Software as a service, Ultimate Software, Workday, Workforce Technologies, yvette cameron ![]()
Future of Work Chief People Officer
For decades, many Australian business sectors have been asleep at the wheel – underinvesting in digital technology, employee skills and strategic thinking. Which sectors? They’re the ones people complain about on Twitter and Facebook – retail, healthcare, pharmaceuticals and financial services. And you can add utilities into that list (but that’s a subject for a future post).
In many ways this is what we’d expect. In the industrial era – business was designed to maximise the profits from investment and expenditure – and that’s what they were doing. We call it creating “shareholder value”. But times are changing. We are no longer living in a world where industrial era business models rule. They are the dinosaurs of the 21st century and those companies and industries that don’t look to reinvent their business models will not only face declining revenues – they’ll risk disappearing altogether.
Don’t think it can happen to you? So did Kodak.
When Google created their own financial services division, they fired a shot across the bow of the slow moving personal lending businesses in the UK. What Google understands is speed to market – and disruption. And remember, they have the inside view of what we search for, what we click on and how long we stay there. The shift to digital – the massive transformation in the way that we think, shop and live has largely been driven by access to Google’s services – and financial services is just the next step in a long journey for them.
But it’s not just global internet giants who will disrupt the market. Smaller, agile players are entering the market – rethinking the old business models and out-flanking them. Take a look at SocietyOne. Connecting borrowers and investors in a peer-to-peer fashion SocietyOne takes “crowdfunding” to a new, more knowable level. It’s designed to match investors and borrowers in an interest rate/risk online pitch-off. Check out their introductory video. Looks like no bank that I know. And that’s the point.
Marketing Transformation Chief Marketing Officer