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Blockchain: Almost Everything You Read Is Wrong

Blockchain: Almost Everything You Read Is Wrong

Almost everything you read about the blockchain is wrong. No new technology since the Internet itself has excited so many pundits, but blockchain just doesn’t do what most people seem to think it does. We’re all used to hype, and we can forgive genuine enthusiasm for shiny new technologies, but many of the claims being made for blockchain are just beyond the pale. It's not going to stamp out corruption in Africa; it's not going to crowdsource policing of the financial system; it's not going to give firefighters unlimited communication channels. So just what is it about blockchain?

The blockchain only does one thing (and it doesn’t even do that very well). It provides a way to verify the order in which entries are made to a ledger, without any centralized authority. In so doing, blockchain solves what security experts thought was an unsolvable problem – preventing the double spend of electronic cash without a central monetary authority. It’s an extraordinary solution, and it comes at an extraordinary price. A large proportion of the entire world’s computing resource has been put to work contributing to the consensus algorithm that continuously watches the state of the ledger. And it has to be so, in order to ward off brute force criminal attack.

How did an extravagant and very technical solution to a very specific problem capture the imagination of so many? Perhaps it’s been so long since the early noughties’ tech wreck that we’ve lost our herd immunity to the viral idea that technology can beget trust. Perhaps, as Arthur C. Clarke said, any sufficiently advanced technology looks like magic. Perhaps because the crypto currency Bitcoin really does have characteristics that could disrupt banking (and all the world hates the banks) blockchain by extension is taken to be universally disruptive. Or perhaps blockchain has simply (but simplistically) legitimized the utopian dream of decentralized computing.

Blockchain is antiauthoritarian and ruthlessly “trust-free”. The blockchain algorithm is rooted in politics; it was expressly designed to work without needing to trust any entity or coalition. Anyone at all can join the blockchain community and be part of the revolution.

The point of the blockchain is to track every single Bitcoin movement, detecting and rejecting double spends. Yet the blockchain APIs also allow other auxiliary data to be written into Bitcoin transactions, and thus tracked. So the suggested applications for blockchain extend far beyond payments, to the management of almost any asset imaginable, from land titles and intellectual property, to precious stones and medical records.

From a design perspective, the most troubling aspect of most non-payments proposals for the blockchain is the failure to explain why it’s better than a regular database. Blockchain does offer enormous redundancy and tamper resistance, thanks to a copy of the ledger staying up-to-date on thousands of computers all around the world, but why is that so much better than a digitally signed database with a good backup?

Remember what blockchain was specifically designed to do: resolve the order of entries in the ledger, in a peer-to-peer mode, without an administrator. When it comes to all-round security, blockchain falls short. It’s neither necessary nor sufficient for any enterprise security application I’ve yet seen. For instance, there is no native encryption for confidentiality; neither is there any access control for reading transactions, or writing new ones. The security qualities of confidentiality, authentication and, above all, authorization, all need to be layered on top of the basic architecture. ‘So what’ you might think; aren’t all security systems layered? Well yes, but the important missing layers undo some of the core assumptions blockchain is founded on, and that’s bad for the security architecture. In particular, as mentioned, blockchain needs massive scale, but access control, “permissioned” chains, and the hybrid private chains and side chains (put forward to meld the freedom of blockchain to the structures of business) all compromise the system’s integrity and fraud resistance.

And then there’s the slippery notion of trust. By “trust”, cryptographers mean “out of band” or manual mechanisms, over and above the pure math and software, that deliver a security promise. Blockchain needs none of that - so long as you confine yourself to Bitcoin. Many carefree commentators like to say blockchain and Bitcoin are different things, yet the connection runs deeper than they know. Bitcoins are the only things that are actually “on” the blockchain. When people refer to putting land titles or diamonds “on the blockchain”, they’re using a short hand that belies blockchain’s limitations. To represent any physical thing in the ledger requires firstly a schema – a formal agreement about which symbols in the data structure correspond to what property in the real world – and secondly a process to bind the owner of that property to the special private key (known in the trade as a Bitcoin wallet) used to sign each ledger entry. Who does that binding? How exactly do diamond traders, land dealers, doctors and lawyers get their blockchain keys in the first place? How does the world know who’s who? These questions bring us back to the sorts of hierarchical authorities that blockchain was supposed to get rid of.

There is no utopia in blockchain. The truth is that when we fold real world management, permissions, authorities and trust, back on top of the blockchain, we undo the decentralization at the heart of the design. If we can’t get away from administrators then the idealistic peer-to-peer consensus algorithm of blockchain is academic, and simply too much to bear.

I’ve been studying blockchain for two years now. My latest in-depth report was recently published by Constellation Research.

 
 
Digital Safety, Privacy & Cybersecurity Chief Information Officer

Consumers Are The Biggest Disruptor in the Supply Chain

Consumers Are The Biggest Disruptor in the Supply Chain

We are in the middle of event season, which means lots of airplanes, hotel rooms and restaurant dinners (some better than others). During the past few weeks I have flown to all the event hot spots – Las Vegas, San Francisco, Detroit, Nashville, Chicago, New York, San Jose, Miami, Washington DC to name a few. I have also attended a wide range of events, from the likes of Infosys, JDA, Plex, Demandware, SAP, Oracle, Epicor etc etc. There has been one thread that is common – the rise of the consumer. Now this is nothing new to us here at Constellation Research. We have been been touting the rise of the consumer in the commercial ecosystem (B2B and B2C) as the biggest disruptor to date. It is good to hear that the solution providers are recognizing this shift as well.

So why is the consumer gaining in strength?

The have the voice because of social. A growing number of retailers are making sure they do better social listening to gauge how their customers are viewing them. What kinds of features or services might they be interested in. Companies like Newell Rubbermaid or Best Buy, have done a lot of work to keep an ear to the social sounding boards.

Consumers have the reach via mobile. As Demandware pointed out at their show, mobile is king. True mobile meaning our phones, not our tablets, are what sit at the top of the food chain when it comes to customer interactions and touch points. We all know the statistics about how often we check our phones and the fact they are with us almost the entirety of our waking hours. Who could have imagined what Marty Cooper did in 1983 would give us such reach when it comes to the relationship consumers have with the commerce ecosystem.

The internet provides consumers with virtually unlimited choices. Before we saw the rise of the world wide web and subsequently eCommerce, our choices were often time tethered to the stores that was within a reasonable physical range or whatever inventory that could be displayed in a catalog. All this changed with the rise of the internet. Suddenly if you were a purveyor of fine wine in the Rhone valley, you could attract buyers from Hong Kong to Pittsburgh. Regardless of your size, through a few clicks of a mouse your products were accessible by anyone with a browser and a dial up modem! Consumers now had access to a treasure trove of products.

Finally the consumers’ expectations have been set by the likes of Amazon. Not only can consumers access a wide swath of products through the eCommerce giant, but they also expect perks such as free shipping, returns, access to long tail products, to name a few.

All this taken together is why consumers are becoming, if not are already, the biggest disruptors within the commerce supply chain. Based on what I am hearing this event season, the vendors and service providers are agreeing with this assertion. The challenge will be how to best offer the solutions and technologies that can allow participants in the commerce supply chain to meet their consumers’ needs. These solution providers must keep in mind their customers’ customers as they design and offer new solutions. How can they empower their customers to be able to better meet the growing expectations and needs of the end customer? No small challenge indeed. As this crazy event has demonstrated, at least most if not all the vendors are reading off the same music sheet.

Matrix Commerce Chief Customer Officer

#CMTV Speaks to R "Ray" Wang at CloudExpo

#CMTV Speaks to R "Ray" Wang at CloudExpo

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R "Ray" Wang discusses Dominating Digital Disruption at CloudExpo. 

Tech Optimization Chief Information Officer On <iframe width="560" height="315" src="https://www.youtube.com/embed/qgl34x8fq-M" frameborder="0" allowfullscreen></iframe>

Infosys Confluence 2016 - The Future is Software + People 

Infosys Confluence 2016 - The Future is Software + People 

We had the opportunity to attend Infosys’ Confluence event in San Francisco, held from April 27th to 29th at the Hilton Union Square. The conference was well attended with over 1500 participants, coming from customers, prospects and the ecosystem, a surge by 50+% over last year. 
 
Have a look at my top three takeaways of the event here:

 
 
 
No time to watch – here is the 1-2 slide condensation:
 

Want to read on? Here you go: 

Always tough to pick the takeaways – but here are my Top 3:

ZeroDistance – Bringing people closer to technology, and positioning Infosys as the enabler for zero distance between people is a worthy goal and was well received. The other two dimensions to ZeroDistance are the end users and the code of the solutions that are to be built. Amongst the common drivers (technology, education), ‘extreme disintermediation’ was the one that stuck out for me. I think Infosys articulated that well, but did not mention the elephant in the room when it comes to disintermediation, DLT aka Blockchain.

Mana – Infosys launched a new offering, Mana, for now squarely focused at improving its internal processes, while drinking its own champagne. The champagne brand is IIP – aka Infosys Information platform – (and with that AiKiDo) that the provider uses to improve efficiency (doing things right) and effectiveness (doing the right thing) for its largest employee population group – L3 support consultants. Infosys sees Mana as a knowledge based AI platform, for now it’s a great internal showcase looking at the digital exhaust of IT support work – and then come up with faster, better, more automated resolutions.

Product Progress – The ‘Platform’ family (IIP, IAP, and IKP) is making good progress, with currently 220 engagements and 17 live customers. The ATP statistics work is being done with IIP and it was showcased widely and proudly at Confluence. On the Edge family side (TradeEdge, CreditEdge, ProcureEdge and AssistEdge) Infosys is doing well, too – with now over 60 customers live and doubled revenue.


Also please take a look at the video colleagues Alan Lepofsky, Doug Henschen and me recorded after Day #1 of Confluence - here.

MyPOV

A good event for Infosys, that is showing how it works both at regaining momentum and changing the service provider landscape, with building more IP and products, all the way that Sikka mentioned that the future in services is the combination of software and people. The good news is that Infosys now has the chops to provide it and has created a great internal showcase with Mana. It is clear the executive team has thought this through, as a move to services lowers the cost of service overall, makes people more productive and enables them to server more accounts.

On the concern side Infosys is in the middle of a transformation that it needs to pass and come out stronger at the end. To become more agile the provider is flattening the organization, a rather unique and for most service providers unique re-organizational process. Changing a hierarchical organization to a flatter one is never trivial. But to be fair – there is no alternative to this transformation given the course Sikka has set for Infosys.

Overall a good Confluence for Infosys, that is changing ever slightly but determined from a ‘people only’ to a ‘software and people’ model. We will be watching.

Want to learn more? Checkout the Storify collection below. 

More on Infosys:
 
  • Progress Report - Infosys Analyst Meeting - Can you transform customers while you transform yourself? Looks like it - read here

Find more coverage on the Constellation Research website here and checkout my magazine on Flipboard and my YouTube channel here.

 
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IBM Design - It's More Than Just Drawing Pretty Pixels

IBM Design - It's More Than Just Drawing Pretty Pixels

On April 13th I traveled to the headquarters of IBM Design in Austin Texas. My goal for the day was to learn how this new (well, two year old) division of the company is impacting product design and customer satisfaction. Below is an approximately 10 minute long video where I recap the key things I learned. If you don't have time to watch, here's the main thing you need to know:

IBM Design is about a lot more than just making products look nice. The (1000+ people) team's mission is to applying "design thinking" (the discipline of using creative problem solving to find solutions) to almost everything IBM does. It's not just about products (like Verse, Watson Analytics, BlueMix) but also changing the processes IBM follows for everything from feature requests, to on-boarding new employees and performance reviews. Following this formula: People + Practices + Places = Outcomes, IBM Design is changing the culture of IBM as much as it is changing the products. 

As proof of IBM's long term commitment to design, they have recently announced a new title, Distinguished Designer. Those of you familiar with careers at IBM will know that Distinguished Engineer is a huge honour for developers. This new design-centric honour is intended to carry similar significance in the industry. The first three people to received this new distinction are Charlie Hill, Adam Cutler and Doug Powell. I worked with Charlie at Lotus for many years, and have had several meetings with both Adam and Doug. Doug was actually my instructor when I went through IBM's Design Thinking workshop last year. Congratulations to all three on this well deserved reward.

 

Future of Work Data to Decisions Innovation & Product-led Growth New C-Suite Tech Optimization IBM Chief Experience Officer

Event Report - OpenStack Summit 2016

Event Report - OpenStack Summit 2016

We had the opportunity to attend OpenStack Summit in Austin this week, our first visit of an OpenStack Summit. Always good to see first hand and in person on how well community, vendors and ecosystem are doing. In short - OpenStack is doing well, growing up and maturing (there are pros and cons to it, more below).

 

So take a look at this video for my overall event report (and see my Day #1 blog post here):

 

No time to watch? Check out the 2 slide summary:

 
More time - read on:
 
Tough to pick the Top 3 takeaways - but here you go:
 
  • OpenStack grows up - I spoke to many OpenStack veterans, including 4 'original' attendees of the very first summit in Austin... and they all see more of an enterprise attendance, more 'suits' and interest from enterprises. That's a welcome and good development.
     
  • Great Story for ISVs and Telcos - but the rest? -  OpenStack has become the de-facto standard for network and device virtualization - with all the benefits of opensource (one major being... 'it's free') as well as for ISVs sitting on complex architectures and looking for ways to move their data centers to a standard, IT accepted offering (e.g. SAP and Workday were presenting). The question is - what about the rest of the enterprise spectrum. We heard encouraging statements from WalMart and WellsFargo - but they were less flamboyant than the 'all in' messages we hear at the public cloud events. An area to watch.
     
  • Right Themes for Mitaka - but where is the sizzle? - Keeping the focus on manageability and usability makes of course a lo of sense for OpenStack, but the community needs to be careful to not spend too much time looking in the rear view mirror. Key innovative cloud areas like Microservice Management, Serverles Architecture, Machine Learning, Bots, In Memory advances, Big Data securing and even security are not land mark items going forward (for now). This is a very challenge of the nature of OpenSource, enterprises and people need to spend time and money to make things work - and sometimes making things work takes a longer time. In the meantime the next innovation pops up somewhere else. In the meantime all these innovative areas offer a differentiation strategy to all OpenStack players - but that can also lead to more fragmentation, with the risk of loosing interoperability and the vendor diversity advantages of OpenStack (see IBM's attempt to stop that in general here). 
 

MyPOV

Good progress by OpenStack. The community has weathered the significant reduction of commitment of a large member (HP) well, and it looks like the roadmap and projects have not taken (too much) of a hit. Good to see more attendees, over 50% first time attendees show an interest beyond the early adopters. And projects are maturing, which on the one side is good to see - but OpenStack may have a 'pipeline' problem. 2013 efforts were balanced across 'Proof of Concept (POC)' / Test and Production - now Production has doubled (good) but the percenage of members in POC mode has gone down to 50% (see below). Are still enough new members looking at OpenStack? 
 
 
OpenStack will have to work hard to keep up the value proposition and create growth vis a vis the prominent public cloud vendors. 2016 and the future will be different as many (e.g. IBM, Microsoft and Oracle) now offer the cloud stack on premises, too - which reduces the value of one of the key OpenStack arguments. We will be watching...
 
Still not enough - check out my Storify collections of Day #1 (here), Day #2 (below) and the Analyst Summit (here). 
 
Find more coverage on the Constellation Research website here and checkout my magazine on Flipboard and my YouTube channel here
 
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From the Internet of Things, to the Analytics of Things focusing on new forms of Analytics coupled to Smart Services.

From the Internet of Things, to the Analytics of Things focusing on new forms of Analytics coupled to Smart Services.

The Internet of Things has been experiencing the full on hype phase as the ceaseless barrage of statistics as to the numbers of things that will be connected. Fortunately this is fading out to be replaced with meaningful experiences on where, and how, the business value is to be found. The Analytics of Things, or AoT, is a new, and welcome part of this shift delivered from some well-respected data analytic technology companies.

The introduction of the term AoT draws attention to the new data and its value being generated both by IoT devices, and Smart Services. As with all data there is a requirement to analysis, but in this case it will introduce new types of Analytics. AoT also refers to the use of analytics in making connected devices smart and able to take intelligent action.  For more details see Deloittes; AoT – a short take on Analytics

Previous blogs in this series have dwelt on the new and innovative ability to use ‘real-time’ data to be able react in an optimized manner not previously possible. The introduction of Smart Services as the mechanism for this, using Complex Event Processing is a significant change enabled by IoT sourced data. The most recent blog illustrated the application of these capabilities in a Smart City Technology and Business conceptual architecture, and included the need for the advanced Analytics of AoT.

IoT is still in the development stage of understanding for many people so adding the even less understood topic of AoT seems almost counter productive. If anything seems familiar it will be the Analytic part though this is wrongly assumed to be part of Big Data Analytics. AoT is concerned with wholly different data which in turn has the capability to reveal very different outcomes from existing reports.

In the blog on Smart City Architecture a simple Smart Service use case ‘Find me Parking’, demonstrated interactions between Smart Services by adding a further Smart Service providing route planning with traffic jam avoidance. Obviously these services are aimed at Citizens, but there are substantial benefits to the City Administration from analyzing the radically different data that Smart Services produce. Three simple examples of the data available are;

  1. Query inputs from citizens providing their starting geo-location as well as their intended destination geo-location
  2. The true total demand for Parking including requests that were unfulfilled, as well as the amount of time a car was on the streets waiting for a parking bay to become available.
  3. The routes used and the changes introduced by this traffic, as well as journeys abandoned due to traffic or non availability of a parking bay.

It would be difficult, and expensive, to obtain any of this data by other means such as personal surveys, or checkpoints. But the real point is that each of these three data outputs is generated within the context of an event, or citizen activity; and shows both failed, and successful, activity event chains and outcomes.

AoT explores new sources of data from Smart Service requests, and outcomes, adding entirely new, and original, data sets that have not been available from traditional sources. IoT enabled Smart Services bring the capability to apply entirely new high value analytics.

There is also data available from direct-coupled IoT sensors, many of these sources are now new, and examples include; sensing Buses passing route points to check if they are on time; various traffic flow sensing schemes; traffic light maintenance and other directly sensed conditions. All produce data inputs to AoT, but often the individual sensors have too low values for AoT advanced Analytics.  While valuable these inputs remain more suited to validate existing planning and scheduling applications, and reporting analytics.

AoT is not yet a fully developed set of technologies products and methods, but the possibilities are becoming increasingly recognized as IoT enabled Smart Services are becoming more widespread. Interesting articles have started to appear outlining the importance of the topic, with the crucial association to ‘Smart’; the Wall Street Journal Blog The Analytics of Things and Deloittes Short Take on Analytics are examples.

Some companies that are well respected in the ‘data’ sector are active proponents of AoT; including IBM, and Teradata, each having developed specific approaches and products for this wholly new branch of Analytics. Other technology companies together with Startups are active, and there is a strong link between AoT and AI, or Artificial Intelligence.

The IBM ‘Watson’ initiative, is an example of this broader approach being defined as a cognitive reckoning engine thus fusing the broader implications of AI with AoT. However the IBM approach certainly does contain the mix of people, unstructured data and IoT based smart inputs that are the basis for AoT. IBM’s acquisition of the Weather Channel is an interesting example of simple sensor data being turned into a Smart Service of Weather Forecasting. The forecast data is then consumed in further Analytical analysis in combination with other Smart Services.

IBM, in common with other providers of AoT capabilities sees this new generation of unique outcomes being used to construct and refine the rules for Smart Services Complex Event Processing engines. This continuous refinement made possible by the interactive relationship between AoT, IoT and Smart Services is claimed to lead in the direction of Cognitive Reckoning and AI.

The earlier example of the Smart Parking and Smart Routing Services feeding new data to AoT illustrated just how this provides a very different view of parking and traffic activities. Using these results to adjustments City Planning and traffic models will lead to new insights being made available to both services to further refine the optimization of their outcomes. AoT adds significant new value, but will also need significant new skills.

Teradata have recently introduced a new business unit specializing in AoT deployments, this builds on the release at the beginning of 2014 of Teradata Aster-GR to add Graph capabilities to the flagship Teradata Aster Discovery Platform 6. Shifting to managing and exploring data by means of Graphs is an important principle underpinning much of the use of IoT data, and therefore AoT, see blog From Relational Databases to Graph.

Teradata used their online magazine to publish a description of the Aster-GR capability and how it integrates with other data in different formats in an article entitled ‘Hands-On’. Teradata has a more technically detailed paper entitled SAS/Access – interface to Teradata produced in conjunction with SAS, (a well respected name in advanced Analytics) on how to integrate solutions.

If you work in Analytics and figure that Big Data, and Data Lakes, are as far as the technology has advanced then its time to take a fresh look at the topic. Google AoT, or Analysis of Things, to find a range of content on the new fresh capabilities that it introduces. As Smart Services, based on IoT, become established as the real definition of the Digital Service economy then AoT moves to the forefront of delivering business and competitive value.

An important part of the research is to carefully check out how AoT will function in association with an Enterprise Data Warehouse; the good news is that this may be a whole lot simpler than expected. As an example Teradata accepts direct IoT data inputs for processing and aggregation into the existing data. 

New C-Suite

IBM Boosts Support to OpenStack's RefStack

IBM Boosts Support to OpenStack's RefStack

A first serious attempt to make OpenStack interoperability real.

During OpenStack Summit in Austin, probably close to a hundred press releases have been published, tough to find the most important one, but this one from IBM stood out for me. Interoperabiity has always been a promise of the OpenStack community and vendors, but it is tough to prove it (and build for it). 

 

So let’s dissect the press release in our customary style (it can be found here):
Austin, Texas - 26 Apr 2016: In a move to drive greater cloud interoperability, IBM (NYSE: IBM) today announced it has contributed significant new features to the RefStack Project, which was created as part of the OpenStack community’s effort to drive interoperability across clouds. The ability to move data and apps from one cloud to another is a major obstacle in the evolution of cloud and business.
MyPOV – Defines well what this is about, making interoperability real.
RefStack, officially launched last year and to which IBM is the lead contributor, is a critical pillar of IBM’s commitment to ensuring an open cloud – helping to progress the company’s long-term vision of mitigating vendor lock-in and enabling developers to use the best combination of cloud services and APIs for their needs.
MyPOV – Good to see the history, and a major OpenStack player like IBM getting serious about interoperability.
RefStack’s new functionality includes improved usability, stability and other upgrades, ensuring better cohesion and integration of cloud workloads running on OpenStack.

RefStack testing ensures core operability across the OpenStack ecosystem, and passing RefStack is a prerequisite for all OpenStack certified cloud platforms. By working on cloud platforms which are OpenStack certified, developers will know their workloads are portable across IBM Cloud and the OpenStack community.
MyPOV – More explanation, good to see the importance of RefStack.
 
“The OpenStack ecosystem is very rich and rapidly evolving, and provides an extremely strong foundation for real interoperability. However, achieving this will require deep, sustained collaboration across the open community,” said Angel Diaz, Vice President of Cloud Architecture and Technology at IBM. “We are ready and willing to work with every single OpenStack cloud provider on this, and are challenging the OpenStack community to collaborate with us. We are determined to provide customers with the flexibility they want – regardless of their provider – so that they have a global platform for business and innovation.”
MyPOV – Good quote from Diaz – the sad part is that IBM needs to ‘challenge’ the OpenStack community. As vendor ‘diversity’ was a key argument made in the OpenStack keynotes here in Austin this week, would be good to see that the support for interoperability would be a ‘normal’ step and not a challenge.
 
At the OpenStack Summit in Austin, Texas, IBM also announced a formal challenge to community members, asking them to pledge participation in the first-ever October 2016 Interop Challenge. This project will directly work towards building a core language between OpenStack cloud providers by building and deploying test cases for real-world activities performed by everyday users of OpenStack across environments. In October 2016, it will culminate in a public demonstration of interoperability across on-premises, public and hybrid OpenStack cloud deployments.
MyPOV – Good to see a real challenge, will be good to learn more about the details and if there are any other OpenStack members taking up the challenge.
 
As the primary resource for cloud providers to test OpenStack compatibility, RefStack also maintains a central repository and API for test data, allowing community members visibility into interoperability across OpenStack platforms.

The specific upgrades to the upcoming RefStack release include:
- User functionality and usability enhancements to allow easier, more streamlined visibility into test data for OpenStack release compatibility.
- Tempest plug-in enablement to allow users to expand existing test suites to include external test cases.
- Stability enhancements to expand the availability of the RefStack service and support a growing number of RefStack users.
- Additionally, RefStack will soon enable vendor registration, allowing community members to easily correlate test results in RefStack’s central repository with specific OpenStack vendors – ensuring results are more transparent.
MyPOV – Good to see what is coming soon on the RefStack side
 

Overall MyPOV

Good to see an OpenStack member stepping up to an attempt to make the OpenStack interoperability and portability more tangible. Practically all vendors in the field mention this as an advantage, but a heterogeneous ecosystem like OpenStack needs to work harder at making this not only marketing slide ware but real tangible and proven benefits. That is hard work and cost for the vendors involved, with the ultimate risk that loads become portable to the point at being lost from from vendor A to vendor B. So a good topic to talk about, a less attractice one to make really work in practice. To be fair – stickiness is a feature all enterprise software players strive for…

A look at the contributors (courtesy of stackalytics.com) shows IBM (274 person days), Mirantis (107) and Indendents (70) shows who is working on making RefStack real. It’s not clear what the other vendors will need to do – but I am sure a few vendors will now read up on the RefSteak project. That alone is a benefit for OpenStack.

The ultimate drive for the challenge would be customer endorsement – all the way to making RefStack test cases part of the RFP and operating SLAs – going beyond the self-policing of the community. We will be watching – stay tuned.

Check out my first take on OpenStack Summit here.
 
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Professional On-line Networks - Professional or Social? Or both?

Professional On-line Networks - Professional or Social? Or both?

1

Overly-social posts on professional networks like LinkedIn solicit a "Put that on Facebook!" reaction from many. But is the line between those networks and purely social media really clear?

Early in the morning of  September 14th 2015, a young man in rural Connecticut woke up and headed downstairs for breakfast. Somehow, he tripped and fell down the entire flight of twenty stairs, hitting his head so hard that it split the inch-thick-maple bottom step in two. His severe traumatic brain injury was of the kind seen mostly in high-speed car crashes or helmet-less skiing accidents, and triggered an epic of extreme surgeries (including a hemi-craniotomy), near-death (twice), excruciating rehabilitation and prolonged trauma undergone not only by himself but by his newly-wed wife and their entire families. 

The day after the accident, my good friend John Licata, the young man's father-in law, posted a short piece on both FaceBook and LinkedIn to ask for prayers and understanding. Despite the outpouring of support on LinkedIn (close to 40,000 "likes" and nearly as many comments), the negative reaction was vehement enough for John to remove the post. Why would some people react so badly? Are they right to defend the "professional purity" of LinkedIn? Where is a reasonable place to draw the line? 

More than a Network, a Virtual Workspace

The success of LinkedIn in particular has made it an extension of our workplace, and a vital tool in our daily interaction with colleagues and business associates, particularly so for those with outward-facing jobs like sales and marketing. In fact, the workplace extension theory holds true for anyone who realizes that well-managed professional networks are just good business and good career curation. No huge leap then to suggest that the behaviors we apply to our physical workplaces are also applicable to professional cyberspaces like LinkedIn. 

Following a traumatic personal event, informing colleagues and business associates is a professionally responsible thing to do to. It allows them to cover for you, to give you the time and space you need to be with loved-ones, and to provide the moral support that will likely get you back to work sooner. Why then would it not be responsible to share such news with one's extended professional network? A traumatic event that disrupts one’s personal and professional  life cannot be compared to a purely social video post of mom's chihuahua doing a backflip! I believe that in many cases LinkedIn reaches into a distinctly grey - and yes, somewhat FaceBook-like area - that we should not only tolerate but cultivate. 

"Friends with Boundaries"

Why cultivate? Firstly because cultivation means control, whereas outright rejection means all bets are off and we lose the ability to moderate our environment. But most importantly we should embrace this space because our highly valued business connections are also our friends at some level - perhaps "friends with boundaries" - but friends nonetheless. How often do you hear someone saying that doing business is only worthwhile if it's conducted with people they like and trust? Isn't that at least part of the definition of a friend?  

Know, Like, Trust

This grey area on LinkedIn is arguably the best part of the service precisely because it is where the truly valuable interactions take place - right in the "Know, Like, Trust" cocoon, which is neither coldly professional nor trivially social - the Goldilocks Space, if you will. It's a space to be nurtured, protected from the narcissism and voyeurism of more social platforms, and used to all of our great and mutual benefit. Besides the obviously practical advantages, appropriate personal insights give our professional relationships humanity, which in the final analysis, makes it all worthwhile.

Dare to be Professionally Social

Our professional lives and businesses have a strong and important social component, which translates well to the online environment. Networks like Linkedin are a highly social, even if professional. I would suggest that if people like John use our trusted space to share personal events, that have clear impact on their professional lives, we should welcome them. So even if your news is personal, if you'd share it - appropriately - in the office, with colleagues or with clients, share it within your professional on-line networks too! It's part of your professional workspace. 

Footnote: Thankfully and miraculously, John's son-in-law is now recovering well, and recently returned to work, thanks in no small part to networks, personal and professional, online and off. 

Future of Work Chief Executive Officer

Demandware Making The Cloud Rain & Mobile Continues to Dominate Retail

Demandware Making The Cloud Rain & Mobile Continues to Dominate Retail

Earlier this month I was in sunny Florida at the Demandware XChange conference. A gathering of some of the biggest retail brand names – the likes of Cole Haan, Carter’s, vineyard vines, Party City to name a few, also spent time with me in Florida. With over 1400 attendees representing 600 customers, the event attracted a wide swath of brands and retailers.

The biggest message from the event was the dominance mobile has commanded over the retail world. This is something that has long been resonating in the space. When it comes to connecting with the consumer, the mobile phone is firmly entrenched as the de facto touch point. No surprise since many would rather lose their wallet rather than their iPhone. Therefore it is imperative for retailers to focus on the phone to be central to their consumer facing focus. The main takeaways from the event:

  • Mobile is the thread that ties in commerce: Mobile phones are always with us – they are the one constant within the commerce ecosystem. This is specific to mobile phones, as tablets are not regarded as “mobile” but more along the same lines as computers. Retailers need to focus on a mobile first strategy. Retailers need to keep in mind that mobile is not simply about reaching conversions via that form factor – rather that mobile plays a role with regards to influencing conversions regardless of where they take place. Conversations between the brand and consumers via mobile can drive conversions – regardless if they are happening on that phone or via a physical store and even through a non-mobile web site.
  • Don’t ignore important signals your customers are throwing off: There was a time when abandoned shopping carts were viewed with disdain. While retailers still want to see the highest percentages of shopping carts converted, there is some interesting information to be gathered from what products your consumers place in their shopping carts and why they don’t convert. Savvy retailers are looking at these actions by consumers and learning from them. There is also an opportunity to learn from you consumer’s social actions. Tying in buying functions with social sites such as Pinterest, allows retailers to take advantage of how their consumers’ are behaving and interacting. The lesson – find places where your consumer is sharing insights, ideas and potential demands and figure out how to take advantage of this data.
  • Don’t forget the store labor! A major theme we have seen with retail is the growing importance of labor within the commerce ecosystem. Brands such as Party City are leaning on in store technologies to empower their store associates. Not only for more frictionless interactions between store associate and consumer, but also how to better handle inventory. The labor also needs to lean on the mobile access to information and data. Retailers such as Party City lean on seasonal pop up stores to drive sales around such events such as Halloween. The need for a mobile and flexible in store solution is even more imperative to keep up with these changing retail delivery points.

Demandware and their customers are focused on some key topics facing retailers – all focused on the importance of mobile. The question remains how much can the fulfillment side of the retail supply chain weave into this mobile strategy? As consumers continue to influence the retail supply chain, retailers will also need to adopt a more flexible and responsive fulfillment strategy to integrate with their mobile strategy.

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