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Sports Event - Lessons Learned for CxOs from America's Cup #5

Sports Event - Lessons Learned for CxOs from America's Cup #5

 
We had the opportunity to attend the America's Cup (AC), currently happening in Bermuda. For any sports (and sailing enthusiast) a once in a life time opportunity. And there is always something to be learned in life - with applicability to the enterprise... here I share my top 3 lessons learned from AC 35.
 


 
 

Take a look at the video that I recorded in Bermuda for a start:
 


And of course there is a one slide summary:
 
 
And here are the three lessons learned:
 

Challenge Best Practices

AC35 Development – For the first time AC teams have members of their team called ‘cyclist’, in this case Emirates Team New Zealand even has an Olympic medalist on board. It matters as the New Zealand team creates the vital pressure for maneuvers and adjusting with … spinning on stationary bikes. Four of the six team members… pedal. Unthinkable for sailing so far – the biggest forces in sailing were generated by arms, by the so-called grinders. And while all five other teams did not want / could not react to the New Zealand innovation. The power advantage is obvious, based on the team claims that the best Emirates Team New Zealand value is averaging 800W per race, the best grinder of Oracle Team USA does… 350W per race.

The CXO Lesson – Best practices are not there to be followed blindly but questioned regularly. Lateral thinking is crucial: Find what works in other areas and can solve the problem better. Everybody knows humans have more power in their legs than their arms – so why not use it … on a sailboat. What is the lateral thinking to disrupt and innovate on best practices for your enterprise?

 

Make the organization a living being

AC35 Development – AC teams have traditionally been very hierarchical organizations, the buck stops with the skipper, giving the commands and the ream receiving them. The tactician was an innovation introduced decades ago, to give the skipper a second opinion, another set of eyes. Tacticians would advise, skippers sometime follow. Compare to what Emirates Team New Zealand does: The helmsman drives, another team member is the foil trimmer and another one oversees sails (ironically the formal skipper, Ashby). Full delegation, no need to communicate / coordinate (listen into the live broadcast).

The CxO Lesson – Organizations need to be reviewed regularly. Too much communication and coordination can slow down an enterprise. Autonomy is powerful, empowers people to make the right decision, focus on the job and get It done. How many of you directs can / could do with more autonomy? Do they give them directs more economy?

 

Show up - late and ready works

AC35 Development – Emirates Team New Zealand only made it to Bermuda in May, races started in June. Oracle Team USA was their already almost two years earlier. As it turns out – the conditions the New Zealand team trained under at home, were more the ones that are now occurring in the Great Sound of Bermuda. Maybe lucky, maybe not. For sure the other teams saw less of the cycle setup.

The CxO Lesson – You don’t have to be first. Your enterprise must be there at the right time and ready. Every move will cause a reaction by the competition. The earlier your enterprise acts, the more time for the competition to react, adapt and maybe beat you. Late and ready is better than to be early and surprised and with no potential to adapt or react.

 

MyPOV

There are many lessons to be learned in life and it’s nowhere cast in stone that new strategies in business have to come from lessons learned in business. Lateral thinking, questioning the status quo, bending best practices, ignoring best practices and challenging them need to be part of the daily work of a CxO. Once implemented, they need to be executed, and we know flatter, more autonomous and more diverse teams do better. Empower the organization. And have a plan over time. Leave something in the tank to change the way the game is being played and playing out. If you are ready, coming later with impact is better than be early and exhausted.

The America’s Cup is not over. More lessons maybe able to be learned. When I recorded the video, the score was 4:1 for Emirates Team New Zealand. At the time of writing this, the score is 6:1. But in 2013, Oracle Team USA came back from a 1:8 deficit. Maybe that the last lesson for CxOs from the AC: Never say never, and it’s never over till it’s over. Watch Race #9 tomorrow – there may be more – or not – but there is definitively something to learn from AC35.
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FinancialForce Community Live 2017 - All about Services

FinancialForce Community Live 2017 - All about Services

 
 We had the opportunity to attend Financial Force’s 2nd user conference, Community Live – the first open for influencers, held in Las Vegas, from June 19th to 21st, at Cesar’s Place. Over 700 attendees, extraordinarily well attended by the influencer community (per MSR rule). 



 

 
So, take a look at my musings on the event here: (if the video doesn’t show up, check here).


 

 
I also recorded my first impressions of the keynote with Den Howlett over at Diginomica – watch it here.

No time to watch – here is the 1-2 slide condensation (if the slide doesn’t show up, check here):



 
Want to read on?

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

FinancialForce doubles down on Services – Financial Force has always focused on service industries, in the keynote new CEO Tod Nielsen re-iterated the commitment, drawing a wider picture – that ‘everything’ is becoming a service. This was taken all the way to the (not so serious) example of “Puppy as a Service”. But a valid point the resonated well with the audience. Not so long ago we talked about outcomes are what matter for customers, and outcomes as a service (including services) would have been a bolder point. But that can still happen.

 
FinancialForce Community Live 2017 Holger Mueller Constellation Research Future of Work
Tod Nielsen opens FinancialForce Community Live 2017

Focus on Talent Management for Services Industries – It’s always with a grain of salt when vendors reduce their ambition – and that’s what FinancialForce has done in HCM. Instead of becoming a full-fledged HCM vendor, FinancialForce will focus on Talent Management for Services Industries (with white collar workers). It chose ADP as its part for HR Core and Payroll, certainly a good move to choose the most used payroll platform in North America. And payroll is crucial in the services industries: Professionals stop working to check their paycheck – often even at customer site – so getting this integration right is crucial. And FinancialForce and ADP plan to provide a vendor based integration, likely around the REST technology that ADP has championed with another ERP vendor recently (check my blog).

 
FinancialForce Community Live 2017 Holger Mueller Constellation Research Future of Work
Studer with Imbrogno - Partnership of FinancialForce and ADP


Financials Roadmap – With all these changes, the core of FinancialForce, Financials, almost took a backseat. But there was room in the keynote to point out to a key road map
 
items, most prominently revenue recognition, renewal risk and revenue analysis.

 
FinancialForce Community Live 2017 Holger Mueller Constellation Research Future of Work
FinancialForce uses Salesforce Wave
 

MyPOV

Always good to be at an early edition of a user conference, where the user community gets shaped, develops expectations and the vendor ecosystem goes through its first incarnations. The ‘tribal’ values of an ecosystem get established in these first conferences. It was especially interesting with the executives who shouldered the bulk of the first day keynote – Nielsen and Studer being with FinancialForce for respectively (only) six and three months. But both showed they are familiar with customers, their expectations and demands, a good sign.

On the concern side – it is always sensitive when vendors retrench in footprint plans and ambition. FinancialForce has done a respectable job at addressing these concerns and informing customers ahead of the changes in HCM and the partnership with ADP. At the end of the day it is better for vendors to realize what the can do with their R&D budgets, and better to stop too ambitious plans sooner than later What matters for FinancialForce customers is that the partnership with ADP will deliver – if and when it does – the potential FUD around this change - will all be history.

Overall a good Community Live conference for FinancialForce customers and partners, now it is time to deliver and what was announced. Stay tuned.
 
Want to learn more? Checkout the Storify collection below (if it doesn’t show up – check here).


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IBM Launches Microservice Builder for Next-Gen Application Development

IBM Launches Microservice Builder for Next-Gen Application Development

Constellation Insights

IBM has brought together a number of developer tools into a platform for building, deploying and managing microservices in both on-premises and cloud environments. 

In a microservices architecture, an application is represented as a suite of smaller services, usually running in containers, which can be swapped in and out or ugraded as warranted. The microservices approach favors continuous delivery, easier testing, and incremental new features created as business needs arise. IBM is hoping its new Builder service will have appeal for enterprise IT shops looking for more of a turnkey way to create microservices:

Microservice Builder helps developers with each step of the development process from writing and testing code, to deploying and updating new features. It helps create and standardize common functions, such as runtimes, resiliency testing, configuration and security, so developers do not have to handle these tasks separately. Teams can also build with specific policies and protocols to ensure all services work together as a complete solution.

For example, a retailer developing a new inventory management app could use Microservice Builder to create a microservice that connects into inventory data to monitor availability of products. A second microservice could be built for a user interface to access inventory information from mobile devices, and a third could be built to analyze shopping trends based on inventory movement. Microservice Builder could help ensure all microservices work together when deployed, regardless of which developer on the team created them.

Microservice Builder uses Kubernetes for container orchestration, as well as Istio, an open source project for microservices management developed by IBM, Lyft and Google. (It's worth noting that IBM says it "plans to deepen the integration" between Istio and Microservices Builder over time, meaning this piece of the pie isn't fully baked yet.)

Other aspects of Microservice Builder includes support for MicroProfile, a programming model which optimizes Java EE for microservices, and security via OpenID Connect and JSON Web Token. IBM is offering a developer edition at no charge. Pricing for test and production versions wasn't available.

In any case, IBM is tapping into an important area at the right time, says Constellation Research VP and principal analyst Holger Mueller. 

"Despite all the hype around microservice and their inherent advantages to build next-generation applications, their uptake isn't on the fast lane," he says. "Custom software gets rebuilt at an average clip of 10 years, assuming it worked successfully. From those projects, almost all enterprises take a look at microservices, but only one third take really advantage of them." 

That's because of uncertainty, unfamiliarity and risk-aversion on the part of enterprises, he adds. "Making it easier to create, maintain and implement microservices is the right strategy to increase that adoption, and that's what IBM is doing," Mueller says. 

Big Blue is not the only option for microservices development platforms, as a cottage industry of startups has sprung up around the trend. These include Macaw, Vamp and Nanoscale. However, IBM's resources and vast account penetration in enterprises globally will certainly give Microservice Builder a foot in the door.

 

Tech Optimization Chief Information Officer

Event Report: FinancialForce #FFComm17

Event Report: FinancialForce #FFComm17

New Management Team and Focus Bode Well for FinancialForce

Constellation attended the FinancialForce Community Live event in Las Vegas in June 2017.  More than 1,000 attendees gathered to see the new management team and product roadmap.  The market for cloud enterprise resource planning (ERP) software remains hot as regulatory requirements and modernization efforts drive upgrades and vendor selection.  Renewed focus on services based ERP and cloud entry points give custoers more choices.

The Analysis

Catch The Full Research Report

The full report and analysis can be found here.

Selected Tweets From The Event

Here’s the Storify with the highlights from this year’s event.  Feel free to share!

The Bottom Line: Services-Based Revenue Organizations Should Consider FinancialForce on Short Lists

Constellation believes that FinancialForce is making the right investments to address mid-market requirements while also staying focused.  Though clients expressed a drop in customer service responsiveness over the past six months, conversations with customers at the Las Vegas event showed a renewed confidence with the new management team and approval of the future product direction. For this reason, Constellation recommends that the following prospects consider FinancialForce as an option in cloud ERP:

  • Mid-market organizations with a services revenue focus.
  • Large enterprises implementing a two-tier ERP strategy for services-based departments, divisions or regions.
  • Small to medium-sized enterprises seeking to graduate from products such as Intacct, Sage and Intuit QuickBooks.
  • Organizations seeking to comply with new revenue recognition requirements such as ASC606 and IFRS15.

Your POV.

What do you think of your ERP vendor?  Do you see them as a strategic partner or just a cost play?  Do you plan to move to the cloud with or without them?

Add your comments to the blog or reach me via email: R (at) ConstellationR (dot) com or R (at) SoftwareInsider (dot) org.

Please let us know if you need help with your Digital Business transformation efforts. Here’s how we can assist:

  • Developing your digital business strategy
  • Connecting with other pioneers
  • Sharing best practices
  • Vendor selection
  • Implementation partner selection
  • Providing contract negotiations and software licensing support
  • Demystifying software licensing

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.

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The post Event Report: FinancialForce #FFComm17 appeared first on A Software Insider's Point of View.

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Unpacking Oracle's Q4 Results: Turning the Cloud Revenue Corner

Unpacking Oracle's Q4 Results: Turning the Cloud Revenue Corner

Constellation Insights

There are few better ways to take the measure of enterprise software buyers' moods than by examining Oracle's fourth-quarter results, which were released this week. Q4 is always Oracle's biggest quarter of the year, and all eyes were on what numbers it would post for cloud revenue.

Put simply, it was a blowout, with cloud revenue up 58 percent year-over-year to $1.4 billion. Within that total, SaaS was up 67 percent to $964 million while PaaS and IaaS revenues, which Oracle is now counting together, were $397 million. For the full year, cloud revenue rose 60 percent to $4.6 billion. 

The results shot Oracle's stock up dramatically, lifted its market capitalization to north of $200 billion, and had executives in a even more positive mood than usual during the earnings conference call. Here are some of the key takeaways from the call and quarter. 

In the margins: Oracle's gross margin for SaaS in the quarter was 65 percent, up from 54 percent last year. The company hopes to reach gross margins of 80 percent on SaaS over time. Meanwhile, the gross margin for PaaS and IaaS fell to 47 percent from 54 percent, an outcome Oracle attributes to investments in data center buildouts. 

On-premises stability: While on-premises software revenue was flat at $7.5 billion, new software license sales fell 4 percent to $2.6 billion. Oracle made up the difference with a 3 percent rise in maintenance revenue, which was $4.9 billion. That result reflects "high attach and renewal rates" on support contracts, Oracle said—but it could also partly reflect revenue gained through license audit activities. Maintenance remains a highly profitable venture for Oracle—and all software vendors, for that matter—and the company is keen to preserve it as much as possible, even as more customers buy into cloud.

Chasing Salesforce: Oracle is going to surpass Salesforce as the number one SaaS vendor, CTO and executive chairman Larry Ellison said on the call. That's because it has a more diverse SaaS portolio, Ellison added:

The reason we are confident that we will pass Salesforce is because we have a three-fold SaaS application suites for ERP, for HCM and for CRM including financials, procurement, supply chain, manufacturing, human resources, payroll, marketing, sales and service. Salesforce in contrast only competes in three of these nine market areas.

It's not always clear how customers benefit from this sort of chest-thumping, but if the competition continues to heat up between Salesforce and Oracle, they could win out through better pricing and bundling options, as well as heightened innovation. Time will tell.

Cloud ERP crushing it: Oracle's cloud ERP revenue was up 156 percent in the quarter, a figure that does not include sales from NetSuite, CEO Mark Hurd said. (Netsuite is being positioned as Oracle's SMB option for cloud ERP, while its Fusion suite is aimed at large enterprises.)

Oracle picked up 868 cloud ERP customers in the quarter. Among others, Oracle struck cloud ERP deals with Allianz, BNP Paribas, GE, the Kraft Heinz Corporation, Juniper, MetLife, Minerals Technology, Motorola, NCR, Netflix, Newell Rubbermaid, Orange, Pearson, Sinclair Broadcast Group, Textron, the University of Maryland, Vanderbilt University and Volkswagen, he added.

More tellingly, two-thirds of cloud ERP customers in the quarter had never purchased an Oracle ERP system before, Hurd said. That suggests Oracle has assembled a strong sales organization, is successfully raising awareness outside its installed base, and most importantly is able to put viable cloud ERP solutions in front of a diverse set of companies and organizations.

Sales switchup: Hurd responded to recent reports that Oracle was planning significant layoffs in its sales force once the quarter closed. (See the Register's report here.) He denied the idea of layoffs, while acknowledging Oracle has been making some changes:

This is all just not true. So, is our sales force shrinking? No. Do we change things in our sales force? Sure. Is there any major reorg going on? No. But remember, our competitors change. We have some very simple principles how we run the sales force. We lineup our sales force by product. We line them up by buyer and by competitor. And that market tends – those dynamics can change or competitors change we have noted over the past several years. .. Second, we are building out, as we have told you over the past couple of years, big hubs that are doing a lot of our selling. And so we have the byproduct of that is that our sales force is actually increasing in numbers, but our cost per salesperson is actually declining. 

Cranking up the Cloud Machine: In May, Oracle announced an agreement with longtime customer AT&T that will, among other things, see the telco migrate thousands of its internal databases to Oracle's IaaS and PaaS. While the press release issued at the time suggested AT&T would use Oracle's public cloud, on the call Hurd revealed that the agreement will involve Oracle's Cloud Machine appliance, which replicates its PaaS and IaaS inside a customer's own data center:

[T]hey have several hundred large databases that have 70%, 75% of all of their company’s data. They have badly wanted to get the benefits of cloud, provisioning, a lot of provisioning and all the new features that come with product modernization, consolidation of that infrastructure, yet in many cases they have got regulatory pressures on what they can put in the public cloud and what they can’t. ... we take our Oracle cloud machine and we are able now to do all of that with them on their premise and give them all the benefits of the cloud, we manage, we patch, we basically run the cloud for them.

Oracle sold more 100 Cloud Machines in the quarter, and wants to ultimately deliver them to tens of thousands of customers. Hurd didn't provide any context for the quarter's results on Cloud Machine, which was launched in March 2016, such as the percentage increase or decrease in unit sales. Constellation believes that while data sovereignty and regulatory guidelines remain strong drivers for private cloud, Cloud Machine may remain of interest mostly to all-in Red Stack shops for some time to come.

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Digital Business is not Web Business; Competitive Implications

Digital Business is not Web Business; Competitive Implications

Back in the day when the Web was transforming business channels to market the concept of White Space was often quoted. In a 2010 article, (see link in following paragraph), on the subject Harvard Business Review stated; As a metaphor, white space is at once ubiquitous and frustratingly ambiguous. There may be as many definitions circulating, as there are business thinkers. Some people define it as a place where there’s no competition. Others as an entirely new market. Still others use it, to refer to gaps in existing markets or product lines.

The author Mark W Johnson developed the theme around a number of points, all of which are relevant to the changes, or opportunities, that Digital Business is introducing today. His comments are well worth reading, or even rereading, again. If you don’t have the time then in his concluding paragraph Mark Johnson states; but ultimately what this definition (of white space) allows you to do is map a new opportunity or impending threat against your company’s current ability to meet it.

Digital Business certainly meets this criterion as initially startups, unhindered by any existing business activities, can see and are gaining customers, in a range of new business activities. These really are White Spaces not serviced by existing Enterprises and their current Internet Web offerings, but based on Digital Business Internet connectivity to real time Services.

The easy comparison is the difference between booking a Cab through a Cab Company online using their Web service, and Uber, a real time Digital Business model. Less obvious is Amazon offering real time finance to small Enterprises trading through its online business linked to their ‘events’ that might require financing. Like Uber the real time event embeds the business activity making the ‘buy’ decision obvious, and excluding traditional Enterprises from any possibility to be involved.

If those moves make you think, then the question is do you really understand what Digital Business really is, how Digital Business models work, and what a Smart Services economy really transforms? Maybe time to check out Understanding Digital Business and Distributed Business models.

In defining White Space in terms that relate to Digital Business the phrase from HBR; “market opportunities your company may wish — or need — to pursue that it cannot address unless it develops a new business model” rings true. The threat of the Digital Economy model on current business models is becoming real, simply because the volume of new players and offers means some have to hit their industry sector sweet spot and gain impetuous.

It is easy to dismiss startups and wait until one becomes big enough to start to be a real competitor, but by then its likely to be too late as the momentum in the market will favor the new with first mover advantage. Its hard to fight back in Digital Business as the whole point is to be embedded in the event/activity in a manner that does not allow a competitor to even be aware of the opportunity. Even when forced to react the time frame to organize a traditional Enterprise into a Digital Enterprise winning in a new way, in new markets, with new business offers, is likely to be too long for a real competitive response.

The simple, and least painful, answer is to make a positive change in market and competition monitoring and assessing. An established Enterprise should start by assessing at least three startups that are aiming to enter and disrupt some element of their current market. Use Market intelligence, plus using the specialized listing companies that maintain records of Venture Capital investments and success rates for startups on an industry sector basis to decide on the three.

A likely surprise at this point is to find how many there are in your market sector, and that some are very directly targeting aspects of your current business, often the lost profitable service related elements. It was widely reported a year ago that Honeywell had thirty-two startups targeting various aspects of its business; in response Honeywell formed a new division focused on using IoT to drive its Digital Business.

The individual startups across your industry sector are shaping the new market even of they are not substantial enough to have direct impacts on your existing customers and revenues. Collectively they are educating customers to understand a wholly new business value proposition, and create a whole new market segment. A true example of white space!

An investment in rethinking competitive and market monitoring brings focus and fact to the Enterprise management when considering if they should react and how. A combination strategy starting with internal enterprise deployment of Digital Business to improve operating capabilities using IoT with AI builds knowledge and required capabilities, as well as improving the current financial bottom line. Followed by a determined set of moves to build a sophisticated Digital Business around Services and a Market ecosystem based on learning from the startup community success provides a route to mastering the necessary transformation to the Digital Services economy.

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Key Takeaways from Trump's Meeting with Top Tech CEOs

Key Takeaways from Trump's Meeting with Top Tech CEOs

Constellation Insights

US President Donald Trump met with a sizable group of the tech industry's most prominent CEOs, including Microsoft's Satya Nadella, Apple's Tim Cook, IBM's Ginni Rometty and Oracle's Safra Catz. Trump's pow-wow was only part of a longer day of "brainstorming" sessions between adminstration officials and tech leaders, with the goal of outlining ways to modernize government IT. 

Most of the inaugural meeting of the American Technology Council, as the group is called, took place in private. But through official transcripts and news reports it's possible to get a picture of what was discussed, as well as take its measure. Here's a look at some key takeaways.

Trump makes nice: Trump has found himself at odds with much of Silicon Valley, particularly at the rank-and-file employee level but also in the c-suite, over actions such as his executive order to halt immigration from some Muslim-majority nations and decision to withdraw the US from the Paris climate agreement. But during his meeting with tech leaders, Trump put on a serious charm offensive, according to a transcript:

We have approximately $3.5 trillion of market value in this room -- but that’s almost the exact number that we’ve created since my election.  (Laughter.)  In fact, I think we have you beat by a little bit, which is a pretty good number.  But I congratulate you all.  Done an amazing job.  

Your innovation has shaped the modern world and created millions of jobs.  America should be the global leader in government technology just as we are in every other aspect, and we are going to start our big edge again in technology -– such an important industry.  I view it from the standpoint of jobs and other things; you view it somewhat differently.  But we’re all in the same ballpark.  It’s so important.  So important.

We’re embracing big change, bold thinking, and outsider perspectives to transform government and make it the way it should be, and at far less cost.  

Trump's stance is hardly surprising, particularly for a first meeting, but he's now also on record calling for a cooperative working relationship with tech giants. He's also positioned his son-in-law Jared Kushner, who is said to be one of the president's most trusted confidants, in a key role overseeing US technology policy. Even if Trump himself delegates the day-to-day work, it's safe to say that a healthy relationship with Silicon Valley sits fairly high on his priority list. 

This ballgame is mandatory: In turn, tech CEOs at the meeting struck an overall conciliatory tone with the president (although Cook reportedly pressed Trump on immigration and other issues, according to reports.) But while left-leaning Silicon Valley CEOs may privately not relish being in the same photograph frame with the president, they have little choice. That's because of the ongoing tax reform debate in Congress, which could result in significant benefits for their companies. (Indeed, a number of lobbying firms for Google, Amazon and other tech giants visited the White House for meetings on tax reform Tuesday.)

The H-1B Elephant: A key issue for Silicon Valley is the H-1B visa program, and the topic got a dedicated working session during the meeting. It's not clear what occurred during that discussion, but in April Trump issued an executive order calling for reforms to the program.

Rather than the current lottery-based system, Trump wants reforms that would ensure visas are issued to "the highest skilled and highest paid workers," thereby protecting American jobs and wage levels. While there are laws on the books requiring H-1B holders to be paid similarly to their American counterparts, that hasn't necessarily happened in practice.

The H-1B issue affects far many more companies than those in Silicon Valley, of course. But as for reforms, the short answer is that they're not coming anytime soon. Trump's order gives a number of federal departments until November to review it and provide recommendations. At that point, it's possible that Trump could make some changes to the program administratively, but more sweeping ones may require an act of Congress. 

Still only (very) partly cloudy: The American Technology Council is headed up by Chris Liddell, a top Trump aide and former Microsoft executive. In an interview with CNBC, Liddell revealed that the government has a long way to go in adopting cloud services. Only 3 or 4 percent of the government's $86 billion in annual IT spending is tied to the cloud, and moreover, it's running roughly 6,000 data centers, he said. 

If accurate, it's a daunting assessment. While a working group at the meeting tackled questions around cloud migration and data center consolidation, a broader transition is undoubtedly still years in the making. The question is whether the pace can be accelerated under the Trump administration.

In the name of transparency: In a document outlining the meeting's agenda, the White House called for a strategy "in which the public is able to track federal operations, often in real-time or near real time." 

Under the Obama administration, large amounts of public information was made available through initiatives such as Data.gov. The wording in the White House's documents seems to take the idea of government transparency a bit further. If it gains traction, the proposal should enjoy support from both sides of the aisle in Washington.

POV: The first meeting of the American Technology Council appears to be a relative success, with no reports of controversy or discord emerging in its wake.

At the same time, it is just a meeting. Skeptics may view it as nothing more than one of many photo opportunities to come. And for all the talk about government IT modernization and procurement reform, both are perennial problems that will require years of sustained effort—spanning multiple administrations and Congresses—to substantially solve. 

Meanwhile, from a policy perspective, the ATC so far has given the floor to the viewpoints of Silicon Valley's elite. These may not always align with enterprise IT leaders in general, or the public. Constellation believes that a balanced US tech policy going forward will keep many voices involved in the discussion.

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Dropbox Bucks Another Trend with Massive, Private Global Network

Dropbox Bucks Another Trend with Massive, Private Global Network

Constellation Insights

Dropbox turned heads when it announced last year it had migrated 90 percent of its storage off of Amazon Web Services and onto a homegrown, global network.

The company's explosive growth—it now counts more than 500 million users and 500 petabytes—had been enabled by AWS's Simple Storage Service, but a few years ago Dropbox came to believe that it had to create its own system in the name of continued performance and customization. 

Dropbox didn't stop at building a global storage system, as VP of infrastructure Raghav Bhargava revealed in a detailed blog post this week. Rather, over the past year it has made dramatic investments in an edge-oriented, private network infrastructure that it says is speeding up performance and cutting costs significantly. 

We’ve built a network across 14 cities in seven countries on three continents. In doing so, we’ve added hundreds of gigabits of Internet connectivity with transit providers (regional and global ISPs), and hundreds of new peering partners (where we exchange traffic directly rather than through an ISP). We also designed a custom-built edge-proxy architecture into our network.

The edge proxy is a stack of servers that act as the first gateway for TLS & TCP handshake for users and is deployed in PoPs (points of presence) to improve the performance for a user accessing Dropbox from any part of the globe. We evaluated some more standard offerings (CDNs and other “cloud” products) but for our specific needs this custom solution was best. Some users have seen and have increased sync speeds by as much as 300 percent, and performance has improved across the board.

Compare that to 2014, when Dropbox's network was confined to the US, with just two data centers. This was a problem, since 75 percent of Dropbox users reside outside the US. 

Much of Bhargava's post is a deep dive into the technical details of Dropbox's network buildout, one that defies easy summary here but is well worth a read.

At a high level, Dropbox's big gamble on going it alone has apparently paid off. The new network architecture has raised median download speeds for some European users by 40 percent and upload speeds by 90 percent. It's working even better in Japan, with download speeds doubling and upload speeds tripling. Dropbox has also cut its non-US networking costs by 50 percent.

By the end of 2017, Dropbox will have an infrastructure presence in 25 facilities across 10 countries and four continents. It is 

"Moore's Law has aided software across the whole stack—the only exceptions are battery life and network performance," says Constellation Research VP and principal analyst Holger Mueller. "So it is crucial for vendors at scale to improve their network performance, especially with edge and routing -elated strategy. Network quality results in user productivity and good user experience, so it's a key area for investment."

While Dropbox's requirements dwarf those of most enterprises and cloud software vendors, its decision to move off the public Internet—and how it did so—nonetheless stands as a valuable case study that could well prove influential in the coming months and years. 

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IOTA's Tangle: The Distributed Ledger Built for IoT

IOTA's Tangle: The Distributed Ledger Built for IoT

Constellation Insights

There are more than 700 cryptocurrencies available for trading online, and many are derivations of Bitcoin, which in turn is based on the blockchain distributed ledger technology. (Go here for Constellation Research VP and principal analyst Steve Wilson's concise definition of these terms.)

IOTA took a different approach entirely when it began working on a DLT for the Internet of Things two years ago. Rather than use blockchain, its Tangle architecture uses a DAG (directed acyclic graph). IOTA co-founder Dominik Schiener summed up the differences in a recent blog post:

At its core, the Tangle still has the same underlying principles as a Blockchain: it’s still a distributed database, it’s still a P2P Network and it still relies on a consensus and validation mechanism.

But, if we are to summarize the main differences between the Tangle and the Blockchain, the two most apparent ones are how the Tangle is structured (a DAG), and how we achieve consensus.

In IOTA there are no “blocks” in the classical sense. Instead, a single transaction references two past transactions. This referencing of transactions is seen as an attestation: with your transaction you attest directly that two transactions, and indirectly that a subsection of the Tangle are valid and conform to the protocols rules.

Instead of a smaller subset of the network being responsible for the overall consensus (miners / stakers), the entire network of active participants (i.e. devices making transactions), are directly involved in the approval of transactions. As such, consensus in IOTA is no longer decoupled from the transaction making process: it’s an intrinsic part of it, and it’s what enables IOTA to scale without any transaction fees.

Transaction fees are no joke in the cryptocurrency world. On average, Bitcoin transactions now cost more than $1. That may not be much if the amount being moved is significantly large, but IOTA envisions a world where many millions of IoT devices will not only exchange data but make purchases from other machines, as Schiener writes:

We envision a future where Machines trade resources (computation, electricity, storage, bandwidth, data etc.) and services with each other without the involvement of any third party — purely Machine-to-Machine. As the Internet of Things starts unleashing itself, the need for “Smart Decentralization” is apparent.

Transaction fees are, of course, anathema to that vision, given that in many cases a machine-to-machine purchase could be measured in cents. Tangle's architecture is intended to make transaction fees a non-issue. Tangle also takes aim at massively increasing scalability and transaction throughput, factors that have plagued previous cryptocurrencies, particularly Bitcoin. In turn, the question of scalability is inextricably intertwined with the notion of a massive network of machines making autonomous purchases from one another. 

Tangle's architecture is described in much greater depth through IOTA's well-written whitepaper, which is available here. The startup's work on Tangle dates to 2015, although its founding members have been working with blockchain and distributed ledger technology much longer than that. 

Its cryptocurrency began trading earlier this month and quickly accumulated a market value of more than $1 billion. As for Tangle, IOTA is conducting case studies for the platform in energy, mobility, smart cities and infrastructure, and expects real-world projects to emerge this year. 

While it is early days for IOTA, the startup's work looks promising and speaks to critical pain points for IoT, says Constellation Research VP and principal analyst Andy Mulholland.

"It has been apparent for some time that the requirement definition for IoT, and the requirement definition for fintech are very different, and that the terms blockchain and distributed ledger are all too often used with too little in-depth understanding," he says. "For those faced with the challenge of managing the commercial business exchange of the very, very small amounts of data that IoT endpoints will contribute individually—though collectively there are millions of endpoints,—will be very interested in the approach that IOTA brings."

"With transmission costs at the extreme micro level, and a different approach to security, one more in keeping with the nature of dumb sensors, IOTA is bringing a useful alternative in the distributed ledger space to Hyperledger," he adds.

Hyperledger is a fast-growing industry consortium working on distributed ledger technologies, counting heavyweights such as IBM among its members. 

This week, the group announced the formation of a new performance and scalability working group that will focus on both software and hardware-related issues:

The PSWG is starting at the base of the mountain in terms of performance and scalability. The group will identify multiple key use cases across different vertical markets. For each of the use cases key metrics will be identified. Each metric will be defined along with how it will be measured. This work will lead to defining a framework and measurement criteria.

The key will be how to define and implement a consistent and fair test suite for each use case. This is important to the industry and to the end user, as it will provide a fair measure of how a specific implementation will perform in different use cases. This will allow the user (customer) to select the proper implementation for their use case.

"Hyperledger is seen by many as the most significant industry initiative to deliver commercial decentralised transaction management, but the question as to scalability, and indeed suitability, continues to be the big issue," Mulholland says. "This new working group is a key move."

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How Competition Between AWS and Azure Improves Public Cloud Adoption

How Competition Between AWS and Azure Improves Public Cloud Adoption

1

Global Cloud

  • Public Cloud spending is predicted to grow at quickly, attaining 16% year-over-year growth in 2017.
  • Cowen’s AWS segment model is predicting Revenue and EBITDA to grow 25% and 26.8% annually from 2017 to 2022.
  • Microsoft Azure is viewed as the platform that customers would most likely purchase or renew going forward (28% of total vs. AWS at 22%, GCP at 15%, and IBM at 10%).

These and many other fascinating insights are from Cowen’s study published this week, Public Cloud V: AWS And Azure Still Leading The Pack (58 pp., PDF, client access reqd.). Cowen partnered with Altman Vilandrie & Company to complete the study. The study relies on a survey sample of 551 respondents distributed across small, medium and enterprises who are using Public Cloud platforms and services today.  For purposes of the survey, small businesses have less than 500 employees, medium-sized businesses as 500 to 4,999 employees, and enterprises as more than 5,000 employees. The study provides insight on a range of topics including cloud spending trends, workload migration dynamics, and vendor positioning. Please see pages 5,6 & 7 for additional details regarding the methodology.

The more AWS and Azure compete to win customers, the greater the innovation and growth in public cloud adoption as the following key takeaways illustrate:

  • Existing Public Cloud customers predict spending will grow 16% year-over-year in 2017. Existing mid-market Public Cloud customers predict spending will increase 18% this year. SMBs who have already adopted Public Cloud predict a 17% increase in spending in 2017, and enterprises, 13%. Public Cloud providers are the most successful upselling and cross-selling mid-market companies this year as many are relying on the cloud to scale their global operations to support growth.

Public Cloud Spending, 2017

  • AWS dominates awareness levels with SMBs who have existing Public Cloud deployments, with Microsoft Azure the most known and considered in enterprises. Consistent with many other surveys of Public Cloud adoption, IBM SoftLayer scored better in enterprises than any other segment including SMBs (71% vs. 58%). Google Cloud Platform has its strongest awareness levels in SMBs, attributable to the adoption of their many cloud-based applications in this market segment. They trail AWS, Azure, and SoftLayer in the enterprise, however. Across all existing companies who have adopted Public Cloud, the majority are most aware of AWS and Microsoft Azure. The second graphic provides an overview of awareness across the entire respondent base.

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  • Microsoft is the most-used Public Cloud and the most likely to be purchased or renewed by 28% of all respondents. While AWS is the most reviewed Public Cloud across all respondents, Microsoft Azure is the most used. When asked which Public Cloud provider they are likely to purchase or renew, the majority of respondents said Microsoft Azure (28%), followed by AWS (22%), Google Cloud Platform (15%) and IBM SoftLayer (10%). The following graphic compares awareness, reviewed and use levels by Public Cloud platform.

Comparative Analysis Of Most Used Public Cloud Provider

  • Only 37% of current Azure users expect to add or replace their Public Cloud provider, compared to 53% of current AWS users and 50% of GCP users. The study found that approximately 40% of respondents expect to add or replace their cloud provider in the next two years, compared to 43% who predicted that last year. Companies who have adopted Microsoft Azure are least likely to replace/add other vendors, as only 37% of current Azure users expect to add or replace, compared to 53% of current AWS users and 50% of GCP users.

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  • AWS and Azure dominate all seven facets of user experience included in the survey. AWS has the best User Interface, API Complexity, and Reporting & Billing. Microsoft Azure leads all Public Cloud providers globally in the areas of Management & Monitoring, Software & Data Integration, Technical Support and Training &   Google Cloud Platform is 3rd on all seven facts of user experience.

user

  • 18% of workloads are supported by Public Cloud today with SMBs and mid-market companies slightly leading enterprises (16%). Overall, 38% of all workloads are supported with on-premise infrastructure and platforms, increasing to 43% for enterprises. The following graphic illustrates the percentage of workloads supported by each infrastructure type.

Infrastructure

  • 77% of existing Public Cloud adopters are either likely or very likely to add a SaaS workload in the next two years, led by mid-market companies (81%). SMBs (76%) and enterprises (73%) are also likely/very likely to add SaaS workloads in the next two years. The majority of these new SaaS workloads will be in the areas of Testing & Development, Web Hosting, and e-mail and communications.

Comparing

  • Cowen’s AWS segment model is predicting Revenue and EBITDA to have a five-year Compound Annual Growth Rate (CAGR) of 25% and 26.8% from 2017 to 2022. AWS Net Income is predicted to increase from $2.7B in 2017 to $8.2B in 2022, attaining a projected 24.5% CAGR from 2017 to 2022. Revenue is predicted to soar from an estimated $16.8B in 2017 to $51.5B in 2022, driving a 25% CAGR in the forecast period.
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