Results

Architecture for Systems of Engagement and Systems Intelligence Adapting/Transforming current Enterprise Architecture

Architecture for Systems of Engagement and Systems Intelligence Adapting/Transforming current Enterprise Architecture

The emergence of Digital Business models based on decentralized Enterprises and Ecosystems brings a challenge to the long-established methods of Enterprise Architecture. Enterprise organizational and operational models are moving to embrace agility with de-centralization to be able to compete in the dynamics of Digital Business models. This game changing Business transformation is driven by an equal transformation in the type and role of Technology moving beyond the current generation of Enterprise IT systems. Whole Industry sectors are ‘un-bundling’ into fast moving ecosystems of highly efficient and specialist ‘Services’ providers; whilst internally Enterprises are strengthening their abilities to engage with new aspects Digital Markets and increase their ability to competitively win through dynamic ‘read and respond’ optimization.

This new generation of Enterprise Digital Business models are engaged with a myriad of new data types and sources that are not part of the existing IT systems, and plan to use AI to drive the orchestrate of their business assets and capabilities. The question is whether Enterprise Architecture, as currently understood, with its focus on centralized, stabile enterprise wide integration through State-full, Tight Coupling, still provides the right Technology methodology to design this new generation of Business defined deployments.

It seems difficult to believe that methods developed to deploy data centric permanently connected internal Enterprise Applications based on State-full and Tight Coupled technology systems can be deployed unchanged to deploy a new generation of Business solutions based on technology that is both Stateless and Loose Coupled.

At both Enterprise and Industry sector levels the need for extreme flexibility, or agility, to provide the responsiveness to constant rapid change has resulted in the emergence of a new generation of decentralization, or unbundled, Digital Business models. Strangely little attention seems to have been given to question as to how these new Business Models translate into existing Enterprise Architectures deployments.

Usually innovation starts with isolated pilots that play little to no regard to the long term in order to make an impact and start Enterprise change. Before too long individual success powerfully illustrates that that Enterprise success in Digital Business will come from the collective, and integrated ability to make use of all available assets and resources. The advent of AI will increase this pressure, and not diminish it as there is no Artificial Intelligence with the ability to make sense of any complex situation without a reference model for guidance!

Correctly referred to as Augmented Intelligence, AI, requires identified and defined group of activities as a base for Machine Learning before transferring the ‘learnings’ into AI powered dynamic optimization. A structured understandable method is required to define activity groups comprised of known collection of interacting activity inputs and with their relationship to a creating a high value business outcome.

Fully forty years ago Business Management experts identified such groups as Business Frameworks. Enterprise Business models contain operational models that are made up from Business Frameworks; examples would include; Purchasing, Production planning, Service Management, etc. Business Frameworks have become overlooked through being hidden inside Enterprise IT Applications, where the input data is collating into transaction and the resulting data record.

Enterprise IT Applications replaced the costly, and, often less than optimized performance of workers, with an optimized process that could scale to support volumes, and was predictable in outcomes. The price, acceptable in the times of higher business stability was to turn dynamic decision making into static predictable outcomes. Managing marketing and sales transformed, since the advent of the Internet, is an excellent example of this.

Many Business Managers will have been introduced at some stage in their career to Porter’s Five Forces Framework. Developed back in the late 70s as a Framework to analyze and quantify the dynamics of a competitive market it remains an excellent example of a Business Framework; see diagram. Porter’s five forces are certainly still recognizably present today, but radically transformed by the dynamic interconnected online business markets of today. Past static analysis to drive three year planned strategic response cycles is no more, as strategy is transformed into continual agile responsiveness to the Business Framework forces.

 

After several decades Enterprise IT has automated many, if not all, of the internal Business Frameworks that contribute to operational efficiency as well as integrating the individual Frameworks by Enterprise Architecture. But it’s important to recognize that this success has been possible because of the inherent stability of the internal environment, (controlled by the Enterprise), and the need for auditable records for legal compliance, (controlled by legislation), actively encouraging static predictable process outcomes.

Digital Business introduces a complete Game Change in business activities, with AI extending the change even further. There is a need to identify and separate where and how Technology is applied to these new different Digital Business activities. This has led to the introduction of the terms Systems of Engagement, Systems of Intelligence and Systems of Record.

Systems of Record aligns with the traditional role of Enterprise IT in providing internal, or Back Office, client-server based Enterprise Applications, for standardizing processes and data into transaction Records. The development of Enterprise Architecture was, and is, essential to understand the relationship between transacting systems, (closed coupled), and the maintenance of one common updated data record, (state), across the entire Enterprise and its Systems.

Systems of Engagement refers to the many new and innovative sources that are form Digital Markets and online Business activities, a range that covers social media to IoT, and much else. In fact, anything that is not part of the internal structured Enterprise IT systems! The use of term engagement is reflective of a very different type of relationship, more value and emotive driven, than that traditional imposed by technology. Whilst Systems of Intelligence, (IBM say Systems of Interaction), reflect where and how the business value is delivered from the activities of Systems of Engagement. There is little in either to resemble the Business or Technology architecture of the current Enterprise IT Systems of Record!

Is the Technology profession in danger of taking its own definition of Enterprise Architecture to mean an all-embracing Enterprise methodology, at a time when Business Managers are moving to radical transformation of their Business Architecture? The definition of Enterprise Architecture, see below, is not necessarily the problem, but the interpretation and the deployment methods within the definition do seem to be in need of rethinking.

An enterprise architecture (EA) is a conceptual blueprint that defines the structure and operation of an organization. The intent of an enterprise architecture is to determine how an organization can most effectively achieve its current and future objectives. Whatis.com

If the definition is sound, then the devil lies in the detail of finding appropriate models with Business Managers that can capture requirements and translate into documented, repeatable, understandable formats to support technology alignment. Business Frameworks have much to commend themselves for this role starting with the fact of their very existence, and recognition by Business management. However, it may require some thought to understand exactly how and why Business Frameworks align well to Systems of Engagement and Systems of Intelligence.

The standard definition of Business Architecture suffers from the same problem as Enterprise Architecture seeming to embrace static more than dynamic; see Wikipedia;

Business Architecture is defined as "a blueprint of the Enterprise that provides a common understanding of the organization and is used to align strategic objectives and tactical demands”. At the most basic level Business Architecture is an integrated set of logical statements that define the manner, and therefore the processes, by which a business creates, and collects, revenues through its operations.

The fit with IT driven Enterprise Architecture and the highly integrated role of Systems of Record is excellent. It simply does not work to define the Business Architecture of Systems of Engagement and Systems of Intelligence with their emphasis on decentralized Enterprises, unbundling their Business assets/capabilities and the focus on the dynamic optimization of operational forces.

This is where Business Frameworks with their identification of ‘forces’ as dynamic entities that interact, offering the potential for different optimized outcomes according to the variation in the inputs from each force offer an alternative method to capture business requirements. come into the picture as the potential way to architect solutions in a rational, related manner across the Digital Business model.

To look more carefully into the benefit case of using Business Frameworks then recommended reading is the highly informative article on the differences between Business Architecture and Business Frameworks, (See CustomerThink.com). As a quick summary the following quote makes clear the role and function of a Business Framework in the context as the basis for a Digital Technology Architecture;

Operationally, the Business Framework generally describes (sic any or all of the following), the corporate organization, or management structure, or may generally outline company policies, or an organization might develop a framework to achieve a particular goal, or an innovations framework (that) may outline policies, procedures and management changes the company will use to achieve innovation and growth etc.

Effective leaders provide a business framework in which people and business partners can work efficiently and effectively, both individually and collectively, and succeed for mutual benefit.

A good business framework creates an organizational environment in which people think and act for themselves, yet collaborate to achieve common goals and objectives. Quote; The Difference between the Business Model Framework and Business Architecture.

Summary;

Enterprise Architecture principles to deploy individual Business requirements within an overall structure, or Architecture, that aligns and supports the Enterprise business model are unchanged. Enterprise Architecture should ensure that individual projects are non-disruptive to the Enterprise as a whole, benefiting from integration with, and reuse of other Enterprise Assets. However, these statements should not be taken as meaning that existing Enterprise Architecture methods can be applied to the new generation of Digital Business requirements.

The Business-driven definitions of Systems of Engagement and Systems of Intelligence clearly define innovative new Business models with entirely different roles and capabilities to those of IT Systems of Record. Changes in Business models and architecture require a realignment of Technology models and architecture. New methods are required for the deployment of Digital Business solutions that allow operational Business Forces to be identified, documented and transferred into Loose Coupled, Stateless solutions.

The development of Enterprise Architecture methodologies to make use of Business Frameworks offers a existing Business management basis for examination and development. This is not intended to be a replacement for existing the Enterprise Architecture methodology which will continue to serve Systems of Record, but to add supplementary Enterprise Architecture methods that will align to new Business requirements in the form of Systems of Engagement and Systems of Intelligence.

Addendum

Blog; Systems of Engagement and Enterprise Business Architecture – defining nine different business activities that together comprise activities that an Enterprise may wish to engage with in gain access to new types of data.

Blog; Salesforce IoT Explorer Edition transforms IoT into a Business Manager’s tool – linked to and part of the Salesforce vision that five Transformations are required to Enterprise IT for Digital Business

New C-Suite

Connected Enterprise - Keynotes and Experiences You Don't Want to Miss

Connected Enterprise - Keynotes and Experiences You Don't Want to Miss

Media Name: cons6227.jpg

We’re a few days away from #CCE2017. Connected Enterprise is the innovation summit for the enterprise, an event where really driven and smart people generate ideas to transform their organizations. Check out some of the sessions and activities you'll experience at Connected Enterprise 2017 below.

 

virtual reality at Connected Enterprise

Agenda highlights

10/24 - Pre-Event
  • Golf 1pm - 6pm
  • Reception 6pm to 9pm

10/25 - Day 1 Exponential Tech
  • AI Driven with Constellation Research
  • Aneel Bhusri 1:1 (Workday CEO)
  • Alysa Taylor 1:1 (Microsoft GM)
  • Marco Tempest keynote - headliner
  • Robert Scoble, MapBox AR/VR panel
  • AeraTechnoglogy Company Launch w/ Fred Lalulyaux (CEO)
  • Rob Enslin 1:1 (President SAP)
  • 7th annual Cosmic Feast

10/26 - Day 2 Industry POV
  • Dee Burger 1:1 (Capgemini NA Digital Lead)
  • Peter Schwartz 1:1 (Salesforce.com Chief Futurist)
  • Gov2.0
  • Tricia Wang keynote
  • Jay Goldman keynote
  • Steve Lucas 1:1 (Marketo CEO)
  • Wipro Digital 1:1 (Wipro Digital Team)
  • Stump the Chumps!
  • SuperNova Awards gala
  • The Innovation Brain Trust Special Event hosted by Jonathan Becher, Chairman of the Churchill Club
     
10/27 - CXO’s and Leadership (1/2 Day)
 

See Who's Attending

Join the Connected Enterprise 2017 LinkedIn group to connect with other attendees.

Safe travels and see you next week!

AI and Internet of Things Will Drive Digital Transformation Through 2020

AI and Internet of Things Will Drive Digital Transformation Through 2020

Businesses are investing heavily in the Internet of Things (IoT) while remaining cautious about investments in artificial intelligence (AI), reveals the Constellation Research 2017 Digital Transformation Study. However, Constellation expects AI to emerge in 2018 as the predominant area of technological experimentation due to the increasing availability of AI development kits and frameworks.

Nearly half of respondents of the Constellation 2017 Digital Transformation Survey said their organization either had an established IoT strategy with applications in production (19 percent) or have pilot projects underway (28 percent). In contrast, just 25 percent of executives said they were investing in AI.

Investment in IoTInvestment in AI

Digital Transformation in the era of AI

Growing demand for the Internet of Things (IoT) and artificial intelligence (AI) is expected to drive large investment in SaaS/cloud and big data technology. Seventy-five percent of respondents said their organization was increasing investment in big data technologies. A full 77 percent of respondents said their organizations would increase investment in SaaS/cloud over the next 12 months, with 45 percent of that total saying the investment would be significantly greater.

Investment in big data cloud technology

Digital business models that hinge on AI and IoT such as “as-a-service” and “mass personalization at scale” require large amounts of data and computing power to execute. In addition, the connections for IoT are in the cloud and AI processing will increasingly rely on cloud-based services. These trends will continue to drive investment in SaaS/cloud and big data technologies.

About the survey

The Constellation 2017 Digital Transformation Survey asked C-level executives about the priorities of their digital strategy, recent investments in emerging technologies, near- and medium-term goals, and hurdles to initiatives.

Constellation sought to understand organizations’ investment in emerging technologies that are integral to realizing the potential of digital business. Constellation polled respondents on their organizations’ awareness and adoption of the internet of things (IoT), artificial intelligence (AI), synchronous ledger technology (blockchain), big data, and cloud technology.

Constellation received 105 responses to an online survey from respondents with a diverse range of job roles. About 18 percent of respondents self-identified as CEOs, followed by line of business managers (20 percent) and IT managers (16 percent). Responses were collected on Constellation’s website and ZDNet.com. Responses were also collected from Constellation’s subscriber base.

Download a complimentary copy of the Constellation Research 2017 Digital Transformation Study

Data to Decisions Digital Safety, Privacy & Cybersecurity Future of Work Marketing Transformation Matrix Commerce New C-Suite Next-Generation Customer Experience Tech Optimization

Apparently science denial is for the left, too.

Apparently science denial is for the left, too.

1

You probably already heard about this project to develop a facial recognition algorithm that predicts whether an image of a face belongs to a gay or straight person. The NYT article first explains these guys did it to focus attention to the threats posed by wide deployment of facial recognition software, linking to an Israeli company’s claim to be able to spot terrorists and a report that China is in the process of deploying similar capabilities.

The article then gathers reactions from people who are horrified. They take the usual science denier tactics: they did their experiment wrong! And they shouldn't do this experiment because what if it worked look at how terrible it would be!  Don’t shoot the messenger? Can’t hear you!!

Disappointing to get the story right to begin with and then publish reactions that have nothing to do with it. --CAM

Digital Transformation Digest: Amazon Partners with Big Apartment Owners on Delivery Lockers, Apple and GE Team Up on Industrial Mobile Apps, Adobe Unveils Revamped Creative Cloud

Digital Transformation Digest: Amazon Partners with Big Apartment Owners on Delivery Lockers, Apple and GE Team Up on Industrial Mobile Apps, Adobe Unveils Revamped Creative Cloud

Constellation Insights

Amazon ties up with big apartment operators for easier home delivery: Just in time for the busy holiday shopping season, Amazon has inked deals with a number of large apartment building operators that will see in the installation of delivery lockers called Hubs. Companies who have signed up so far collectively manage more than 850,000 apartment units in the U.S., according to the Wall Street Journal.

The program has a few key goals: More security and flexibility for customers, cost savings gained through dropping off large batches of packages at once, and to help ease the burden on apartment management companies who must grapple with a ever-higher pile of delivery boxes in building lobbies. 

POV: Customers get a code they can enter in the locker to retrieve their packages. It's a similar idea to delivery boxes Amazon has already installed at gas stations and other high-traffic locations, but should have much greater appeal to both customers and apartment managers. Meanwhile, the shopping season will certainly give Amazon a test bed to prove out the Hubs at scale.

Apple, GE team up for mobile industrial apps: General Electric will partner with Apple on the creation of mobile applications for machinery and factories, Bloomberg reports:

The Boston-based company on Oct. 26 will publish a toolkit it has built with Apple that helps developers build software for iPhones and iPads that uses its Predix data-collection and analysis tool, Kevin Ichhpurani, the head of sales at GE’s digital division, said in an interview. Apple is making Predix its preferred tool for connected factories.

“More of the customers in the industrial world want to drive mobile experiences to their end users,” Ichhpurani said. “Employees within those enterprises want those same experiences that they have in a consumer world.”

The focus of the apps will be on monitoring and diagnostics of machinery, as Apple's announcement explains:

For example, a Predix app can notify a worker on their iPhone of a potential issue with equipment such as a wind turbine and allow them to collaborate with remote teams when performing inspections and repairs, collecting relevant data instantly.

GE and Apple also plan to use the iPhone maker’s recently released augmented-reality tools to help train engineers and identify mechanical problems.

POV: This is one partnership that goes beyond a splashy announcement. For example, GE will standardize its mobile devices on iPhone and iPad, while Apple "will promote Predix as the industrial IoT analytics platform of choice to its customers and developers." The SDK for iOS devices will be launched next week during GE's Mind + Machines conference. Overall, the deal cements Apple as a major player in enterprise and digital transformation efforts.

Adobe rolls out next-generation Creative Cloud: During this week's MAX conference, Adobe is unveiling a series of enhancements to its Creative Cloud portfolio, including four new applications. It has also injected more AI capabilities into Creative Cloud from its Sensi AI platform. Here are the key details from its announcement.

  • Adobe XD CC is a cross-platform toolkit for rapidly prototyping mobile apps and websites.
  • Adobe Dimension CC provides designers with 3D image creation capabilities.
  • Character Animator, is a 2D animation tool. Sensei offers improved lip-syncing.
  • Adobe has also redesigned Lightroom, its cloud-based photo storage, editing and sharing service.

POV: As expected, Adobe is also unveiling updates to its core creative apps, such as Photoshop, Illustrator and InDesign, but these improvements appear to be more iterative than transformative. What will be of particular interest to enterprises are new integrations between Creative Cloud and Adobe Marketing Cloud, making it easier for companies to use both in tandem as they bring branding development operations in-house. Constellation analysts Cindy Zhou and Alan Lepofsky are in attendance at Creative Cloud this week. You can follow their ongoing coverage on Twitter at @cindy_zhou and @alanlepo.

Future of Work Marketing Transformation Matrix Commerce Next-Generation Customer Experience Chief Customer Officer Chief Information Officer Chief Marketing Officer Chief Supply Chain Officer Chief Digital Officer

Digital Transformation Digest: Docker Adding Native Support for Kubernetes, Splunk Invests In Machine Learning Talent, PE Investment in Enterprise Apps Continues

Digital Transformation Digest: Docker Adding Native Support for Kubernetes, Splunk Invests In Machine Learning Talent, PE Investment in Enterprise Apps Continues

Constellation Insights

Docker adding native support for Kubernetes: For the past couple of years, Docker has pushed Swarm as the default orchestration tool for its popular application container platform. But the Kubernetes container orchestration layer, originally created by Google and now a project at the Cloud Native Computing Foundation, has far exceeded Swarm in popularity. 

Docker has ceded to this reality, announcing during its DockerCon EU conference this week that the next version of Docker Enterprise Edition will ship with support for both orchestrators. It was possible to use Kubernetes before, but the native support will make the experience seamless.

POV: Docker's announcement reportedly garnered ample applause from the DockerCon EU crowd, underscoring that while Docker has been a leading force in containers over the past several years, developers want to use the container-wrangling framework of their choice.

This comes as no surprise, as Kubernetes "is probably the fastest come back from behind win we have seen in infrastructure ever," says Constellation VP and principal analyst Holger Mueller. "The good news for enterprises is things get easier when making decisions, and lock-in on the container orchestration level has not happened yet. It's getting easier to place down your chips on the architecture for next-gen apps."

Splunk buys SignalSense in machine learning acqui-hire: In its second such move this month, machine data monitoring and analysis vendor Splunk has made an acquisition focused as much on talent as technology. It has purchased a startup called SignalSense, which focused on advanced data collection and breach detection tools:

Seattle-based SignalSense will join Splunk’s Products organization in its growing Seattle office. Splunk will leverage expertise from the SignalSense team to further advance its machine learning capabilities and its market-leading machine data platform.

“Before joining SignalSense, I spent three amazing years at Splunk, and I’m thrilled to return as the company continues to rapidly innovate. Splunk is the perfect platform for our team to make a big impact on Splunk’s substantial customer base,” said Brad Lovering, chief engineering officer, SignalSense.

POV: Earlier this month, Splunk paid an undisclosed sum for Rocana, another analytics startup, and also brought in some of its staff.

These are good moves by Splunk, which has the data but as of yet, not enough machine learning intelligence about that data, says Constellation's Mueller. That ultimately will determine who wins the crown in the market for connected economies and IoT, he adds. 

Intralinks gets flipped to private equity firm: Synchronoss Technologies is selling off its Intralinks secure filesharing software division to Siris Capital Partners for about $1 billion. The deal comes about a year after Synchronoss bought Intralinks for $821 million. While investors reacted poorly to the initial acquisition, the pact with Siris sent Synchronoss shares up significantly on Tuesday. 

There was reportedly a bidding war for Intralinks, with Siris offering $835 billion in June, and better offers coming in after that, according to Reuters

POV: The deal in and of itself isn't earth-shattering, but continues the trend over the past few years of private equity firms snapping up enterprise software vendors. Notable examples include BI vendor Qlik, bought by Thoma Bravo for $3 billion; and Dell's sell-off of its software group as part of the merger with EMC.

PE firms have warmed up to enterprise software companies due to their focus on top-line growth, but have also applied more discipline in order to drive out costs. For customers, the trend can mean good things indeed—Koch Industries invested more than $2 billion in Infor, money that is expected to ramp up the ERP vendor's already robust push into micro-verticals and innovation across the stack. 

Data to Decisions Tech Optimization Chief Information Officer Chief Digital Officer

Tableau Conference 2017: What’s New, What’s Coming, What’s Missing

Tableau Conference 2017: What’s New, What’s Coming, What’s Missing

Tableau unveils high-scale Hyper engine, previews self-service data-prep and ‘smart’ capabilities.  Here’s the cloud agenda for next year's event. 

Tableau Software is the Apple of the analytics market, with a huge fan base and enthusiastic customers who are willing to stand in long lines for a glimpse at what’s next. Last week’s Tableau Conference in Las Vegas proved that once again with record attendance of more than 14,000.

The Tableau fan boys and fan girls were not disappointed, as the company detailed plenty of new capabilities. The highly anticipated Hyper engine, for example, is now in beta release 10.5 and is sure to be generally available by early next year. Hyper solves Tableau performance problems when dealing with high-scale data extracts. The columnar, in-memory technology speeds the creation of data extracts, makes it possible to deal with larger-scale extracts and better supports scalability for enterprise-scale deployments.

Also in 10.5 are a slew of upgrades including nested projects, for more granular administrative control, mapping and Web authoring improvements, and a “Viz in Tooltip” feature that provides deeper, sparkline visualizations when you hover over a data point. A new Extensions API will enable developers to bring third-party application functionality into Tableau. For example, natural-language interpretations from Automated Insights can be embedded into Tableau Dashboards to help explain the data visualizations. Or users looking for data sources to explore could be exposed to suggestions from Alation, the third-party data catalog.

For now Tableau's new Hyper engine meets scale and performance demands tied to
handling structured data extracts. In future it will address NoSQL and graph workloads.

A bit farther over the horizon, Tableau offered a preview of its Project Maestro self-service data-prep option. Tableau executives said there would still be a place for the deeper self-service data-prep functionality offered by partners, but it looks like Maestro will deliver intuitive, visual tools that will enable many business users to combine, clean and transform data. (Thus, data-prep partners like Alteryx and Trifacta are moving to provide more advanced capabilities, such as prediction and machine learning).

Maestro is expected to be in beta release by year end. General availability typically follows beta release within a quarter, but Tableau execs weren’t ready to discuss packaging  or pricing of what will be an optional module that’s integrated with, but separate from, Tableau Desktop and Tableau Server.

Even farther over the horizon, Tableau outlined plans for more “smart” capabilities powered by machine learning and natural language query. Tableau already recommends data sources based on historical behavior by user, group, role and access privileges, but more discovery and analysis recommendations are in the works. Having recently acquired ClearGraph, Tableau is also working on natural language query capabilities that will enable users to have more of a dialogue with the software. Using a technique called query pragmatics, ClearGraph’s technology can retain the context of a previous query to drill down to deeper insight. The queries can be typed in or, with third-party voice-to-text capabilities, spoken into mobile devices.

Tableau' plans to extend machine-learning powered recommendations from data sources
into the areas of suggested visualizations and suggested data-prep steps.

What Tableau didn’t talk about so much were next steps for cloud deployment. Yes, the 10.5 release introduced Linux support for Tableau Server, which is clearly a boon for cloud deployment, where Linux is usually the default operating system. The release also made strides in Tableau’s long-running goal to bring functional parity between Tableau Desktop and the Tableau Web client. Finally, Tableau has also made strides in supporting deployments on Microsoft Azure. But we didn’t hear much at all about what’s coming in the next generation of Tableau Online, which is the vendor’s software-as-a-service offering of Tableau Server. Big enterprise customers more typically deploy Tableau Server themselves on AWS, Azure or the Google Cloud Platform, but here, too, there wasn’t much said about making such cloud deployments easier.

My Take on Tableau Conference 2017

The Tableau Conference grew yet again this year, surpassing the scale of most conferences I attend – and certainly any analytics vendor conference. That’s a testament to the level of customer enthusiasm, which was once again palpable. The love of the product grows from the grassroots level, with Tableau Desktop (as well as the mobile and web clients), but the company was careful to put huge, enterprise-scale deployments at the forefront of this year’s event. In the opening keynote, for example, Sherri Benzelock, VP of Business Analytics at Honeywell, explained how the company achieved a “balance between data access, trust and governance” in a “viral” deployment that reached 20,000 employees within two years.

Another take on creating a well-governed but democratized self-service experience was shared by Steven Hittle and Jason Mack of JP Morgan Chase. Hittle, VP of BI Innovation and a member of the IT team, said Tableau has enabled people to “build in hours what took weeks or months in other tools.” That flexibility has led to broad adoption since 2011, with more than 20,000 users across JP Morgan Chase. It was Hittle’s job to convince risk officers that they could trust people with direct access to data. Governance is largely achieved at the data layer, with robust permissions and access controls. Another safeguard is monitoring all data extracts to enforce the rule that no personally identifiable information is brought into Tableau Server.

Tableau is deployed on premises at JP Morgan Chase, with 15 Tableau Server instances around the world, but Hittle’s advice to fellow enterprise-scale customers speaks to what should be next on the company’s cloud agenda. For starters, managing Tableau Servers is not dead easy, and as deployments scale up, cost-management becomes a concern. It helps that Tableau has introduced subscription-based pricing over the last year, which JP Morgan Chase and many other customers have adopted, but the banking giant has done a lot of work to mine performance and usage statistics and to come up with a shared allocation module – by users as well as by CPU, disk, and network utilization – to guide judicious purchasing of Tableau Server capacity. Hittle said that JP Morgan Chase has also had to work on automating server migrations and version control.

The buzz from big cloud providers, meanwhile, is all about serverless computing, automation and “autonomous” capabilities, as discussed at the recent Oracle Open World event. Tableau obviously has to learn how to make the most of automation through its own Tableau Online cloud service, but that SaaS offering is not suitable for every customer. At the Google Next event this spring, for example, an executive from a major university told me that he couldn’t use Tableau Online because it’s not HIPAA compliant. The university uses Google Big Query and other managed services wherever possible, but it has to run Tableau Server on virtual machines on Google Cloud Platform infrastructure, which he described as “the most expensive and complicated thing that we do.”

I came away from the Tableau Conference impressed by the company’s growth, its many new features and by current and planned smart capabilities powered by machine learning and natural language processing. But the bar continues to rise on cloud expectations. At Tableau Conference 2018 I hope to hear about the maturation of Tableau Online for enterprise needs. And for those who choose to deploy Tableau Server, whether on public cloud infrastructure or on premises, I hope to hear more about automation options and streamlined deployment and management capabilities geared to a hybrid, multi-cloud world.

Related Reading:
Oracle Open World 2017: 9 Announcements to Follow From Autonomous to AI
Microsoft Stresses Choice, From SQL Server 2017 to Azure Machine Learning
Qlik Plots Course to Big Data, Cloud and 'AI' Innovation

 

Data to Decisions Chief Customer Officer Chief Information Officer Chief Marketing Officer Chief Digital Officer

Digital Transformation Digest: SCOTUS to Review Landmark Digital Privacy Ruling, IBM's Blockchain Service for Cross-Border Payments, Facebook Adds Food Ordering

Digital Transformation Digest: SCOTUS to Review Landmark Digital Privacy Ruling, IBM's Blockchain Service for Cross-Border Payments, Facebook Adds Food Ordering

Constellation Insights

SCOTUS on privacy case: The Supreme Court of the United States has agreed to review a landmark 2016 decision that barred the federal government from obtaining personal emails stored on a Microsoft server in Ireland. 

The Court of Appeals for the Second Circuit had sided with Microsoft in July 2016, but the Department of Justice appealed to the higher court. Microsoft had argued its case on ground that the Electronic Communications Privacy Act, which was created decades before the cloud era, was never meant to have authority within the borders of foreign countries, general counsel Brad Smith said in a blog post:

But as we have said from the beginning of this litigation, there’s a broader dimension to this issue as well. The continued reliance on a law passed in 1986 will neither keep people safe nor protect people’s rights.  If U.S. law enforcement can obtain the emails of foreigners stored outside the United States, what’s to stop the government of another country from getting your emails even though they are located in the United States? 

We believe that people’s privacy rights should be protected by the laws of their own countries and we believe that information stored in the cloud should have the same protections as paper stored in your desk. Therefore, Congress needs to modernize the law and address these fundamental issues.

POV: There is already bipartisan legislation drafted that would create modernized versions of the ECPA that take into account today's realities while also being mindful of law enforcement needs. Microsoft will continue pressing its case that the DoJ's interpretation of the ECPA is erroneous, Smith wrote.

Redmond will no doubt continue enjoying broad support from other tech vendors, privacy advocates and trade associations in its effort as well. However, the DoJ has its own argument to make, namely that data such as the emails in Ireland is the property of companies, not users, and therefore a warrant served on U.S. corporations for information held abroad is a domestic order and thereby applicable under the ECPA.

The mere fact the DoJ's petition will be heard by the Supreme Court underscores how important the case is. It's not clear when it will be heard, but some reports suggest it could be within a few months. The bottom line? A major decision on how U.S. law treats personal electronic data is coming down soon.

IBM unveils blockchain service for cross-border payments: Big Blue has made a sizable bet indeed on blockchain, with a particular focus on financial services applications. In its latest such move, IBM is partnering with Stellar.org and KlickEx Group on a blockchain service for cross-border payments. Here are the key details from its announcement:

Today, making international payments can be costly, laborious and error-prone. Transactions in different currencies can require multiple intermediaries and take days or weeks to complete. 

Using a blockchain distributed ledger, all appropriate parties have access and insight into the clearing and settlement of financial transactions. It is designed to augment financial flows worldwide, for all payment types and values, and allows financial institutions to choose the settlement network of their choice for the exchange of central bank-issued digital assets.

For example, in the future, the new IBM network could make it possible for a farmer in Samoa to enter into a trade contract with a buyer in Indonesia. The blockchain would be used to record the terms of the contract, manage trade documentation, allow the farmer to put up collateral, obtain letters of credit, and finalize transaction terms with immediate payment, conducting global trade with transparency and relative ease.

The service is already processing transactions in 12 "currency corridors" in the Pacific Islands, Australia, New Zealand and the UK. It is powered by IBM's Hyperledger Fabric-based blockchain platform. Stellar.org provides an open-source blockchain network for trading digital assets, and has a custom-built cryptocurrency called lumens that is being used to settle transactions done through IBM's service. KlickEx is a Pacific region financial services company.

POV: Major financial institutions such as TD Bank and Australia National Bank are also associated with the project, which will be expanded to other regions next year. Overall, it's an example of major tech and financial players joining forces with scrappy blockchain upstarts to tackle a vexing problem. IBM and its partners will discuss the effort in more detail during the Sibos 2017 conference this week in Toronto.

Facebook launches food ordering service: More than anything, Facebook wants to keep users inside its environment. It is launching a new food-ordering service that aggregates third-party options from inside the social network. Here's how Facebook explains it in a blog post:

People already go to Facebook to figure out what to eat by reading about nearby restaurants, and seeing what their friends say about them. So, we’re making it even easier.

Facebook combines options from a number of food ordering services like EatStreet, Delivery.com, DoorDash, ChowNow and Olo, as well as restaurants like Jack in the Box, Five Guys, Papa John’s, and Panera, so you don’t have to search through multiple places to find what you’re looking for. From local spots to national chains, Facebook connects you with old favorites and new discoveries in just a few taps. You can even check out what your friends have to say about a restaurant before you order your food.

The service has been in testing since last year but it now available throughout the US on iOS, Android and desktops. 

POV: "I think this is a fantastic development for customer experience," says Constellation VP and principal analyst Cindy Zhou. "Facebook’s advantage is the ability to connect one’s friends, to perhaps order together, and it becomes more of a 'social' outing." Moreover, the ability to integrate reviews is powerful Zhou adds. "I think the risk is for these third-party delivery platforms," she says. "Facebook could take them out by working directly with the brands."

Tech earnings season begins: IBM and SAP are two tech bellwethers set to announce third-quarter earnings this week, followed by Amazon, Microsoft and Google/Alphabet next week. All told, the enterprise market should get a clear snapshot of customer buying patterns and trends.

POV: Eyes will be on whether SAP can continue delivering rapid growth in its cloud applications, as well as updated numbers for S/4HANA adoption and a sense of what momentum SAP's Leonardo product-and-services digital transformation strategy has gained. 

IBM is not expected to break its long streak of revenue declines, but it will be interesting to see how Big Blue's newly launched z14 mainframes are tracking in initial sales. The big selling point for the z14 is full encryption with no appreciable performance hit.

Digital Safety, Privacy & Cybersecurity Matrix Commerce Next-Generation Customer Experience Tech Optimization Chief Customer Officer Chief Digital Officer Chief Information Officer Chief Marketing Officer Chief People Officer Chief Revenue Officer Chief Supply Chain Officer

Event Report: Box Adds A Layer of Intelligence to Cloud Content Management

Event Report: Box Adds A Layer of Intelligence to Cloud Content Management

Media Name: boxworks-2017-00057.jpg

On Oct 11th and 12th Box held their annual BoxWorks conference in San Francisco. There were several announcements for users, developers and administrations, but the most significant for my research area of Personal Productivity, Team Collaboration and the Future of Work was the introduction of Box Skills, a set of artificial intelligence (AI) capabilities which can enhance the content stored in Box by automatically adding additional metadata such as tags, sentiment, transcriptions and more.

If you don't have time to read this entire post, here is a quick summary of Constellation's analysis:

 

 

Key Announcements and MyPOV

  • Evolution of their messaging around “Cloud Context Management”
    • Box is much more than just Files/Folders: KeySafe, Zones, Platform, Relay, Drive, Notes, Capture, Governance, Insights, …
    • 76K customers, 65% of F500, 100k developers
       
  • Box Relay - Workflow product (co-developed with IBM) will be available (price has yet to be announced) for all customers on Nov 13. Box Relay allows anyone to fill out a series of guided questions which then creates the conditions and actions to organize business processes.
     
  • Box Files - the core file storage and sharing experience of Box
    • Enhanced commenting: Threaded comments and the ability to mark a thread as completed
    • Annotations: Leave comments in specific locations on documents
    • Versioning: Visually see the key differences between two versions
    • Presence: You can see who else is currently viewing a document
    • Tasks: You can assign a task to a person with a date. This is just the start of a larger roadmap for task management
    • Shortcuts: Create links to files or folders in the left side navigation bar
    • Integrations with Workplace by FB, Slack, Microsoft Teams. Future: IBM Watson Workspace, Google Hangouts Chat, Cisco Spark

MyPOV: Box has done a good job over the last year or two improving the file/folder experience. However, I would like to see more innovation here, such as enabling content to be organized in ways that break away from the hierarchical "file manager” experience. I would also like to see more intelligence around popular content, recommended content, recent files, etc. I’m pleased to see Box working on tasks, but more work is required in this area to truly make it usable for managing and tracking assignments and status of deliverables.

  • Box Notes - Box’s own word processor/note taking application
    • Inbox to see documents
    • Visual differences between versions
    • Presence
    • Templates

MyPOV: The addition of a desktop version of Box Notes (the web application wrapped in Electron) was very welcome and should help drive usage of the product. While the content creation features of Box Notes currently lag behind competitive offerings such as DropBox Paper and Salesforce Quip, it does have the advantage of sharing the same security and compliance standards that the core Box Files experience has. Hopefully we’ll see continued feature enhancements to Box Notes in 2018.

  • Box Skills (Beta planned for 2018) – bringing artificial intelligence to content stored in Box.
    • Images: automatic tagging of content
    • Audio: transcribing text, keyword indexing, sentiment analysis
    • Video: everything from audio + facial recognition and indexing

MyPOV: This is the most important announcement of the conference. More details on this significant feature further down in this post.

  • Box Graph (Beta planned for 2018) – Box has begun working on an underlying architecture that will map the relationships between content and people.
    • Potential applications: A newsfeed to show top content, anomaly detection

MyPOV: This is a very critical part of the future of Box functionality. Other vendors such as Microsoft, Facebook and Slack leverage their graph to help people avoid information overload, discover content and colleagues, detect patterns and more. Making the API for Box Graph available to developers will be a powerful addition to the Box Platform for creating customer applications.

  • For Developers
    • 100K+ application developers are now making 12 billion 3rd party API calls/month
    • New Analytics Dashboard to show API usage
    • New Box Element: "Open With"
    • New Training Center / certification
    • Solutions Gallery to showcase applications

 

Augmenting Content

The most significant news from BoxWorks (with respect to people and applications interacting with content) is the introduction of Box Skills. These enhancements leverage capabilities from IBM Watson, Google Cloud Platform and Microsoft Azure to add functionality to files stored in Box. The first set of skills Box is developing are for image, audio and video files. The architecture of Box Skills has been designed to be platform agnostic, thus enabling developers to use best of breed AI capabilities from multiple vendors instead of being limited to a single choice. At this time Box has not announced how Skills will be charged for, but someone will have to pay for the API calls being made to the commercial AI platforms. For example, each time an image is tagged, Google will require payment. Box has stated they will make this as frictionless as possible for customers, with more details coming in 2018. Skills are an optional feature, and must explicitly be turned on, so customers don’t need to worry about this unless they decide they want to use them. Custom skills can also be developed to meet specific business needs.

Images

The example below shows tags which have been automatically added (via Google Vision API) to the file’s metadata which describe the image. Also, any text on an image is scanned and transcribed. I hope similar functionality will be available for presentations, enabling people to easily find files based on the content in specific slides.

Audio

The example below shows how using IBM Watson, audio files stored in Box can be scanned for keywords and sentiment. The audio can be transcribed, and people can jump to any of the indexed times in the recording.

Video

The example below expands upon the audio use case, showing how video can also be indexed. In addition to pulling out keywords, facial recognition can identify specific people and provide navigation through a video based on faces. I have been using similar functionality in Microsoft Stream and it can make a dramatic difference in the way you view content, enabling you to focus on the areas you want while easily skipping over those you don’t.

Conclusion

At last years conference (BoxWorks 2016) Box emerged with a very strong message of evolving from file storage and sharing, to being a platform for building applications. This years event successfully continued that story by introducing future functionality in the form of Box Skills (AI) and Box Graph (analytics). I was very impressed with the customer references and business partner announcements, both of which show that the ecosystem around Box is quite healthy and growing. I would like to see Box innovate more around the way content is created, organized and shared, as the competition in these areas is quite strong. Overall BoxWorks 2017 was an excellent event, and the customers and partners I spoke with are looking forward to getting their hands on the new functionality.

 

Future of Work

Event Report - Workday Rising 2017 - Workday opens and advances the platform - but its early days

Event Report - Workday Rising 2017 - Workday opens and advances the platform - but its early days

We had the opportunity to attend the North American edition of the Workday user conference, held in Chicago from October 9th till12th 2017 at McCormick place. The event was very well attended (almost 9k attendees) across customers, prospects, partners and influencers. 

 
 
 
Before reading - check out this video my colleague Chris Kanaracus and me recorded on the way to O'Hare:
 

Here is the 1 slide condensation (if the slide doesn’t show up, check here):

 
 
Want to read on? Here you go:

People Experience – Workday is unveiling a new, open portal that will allow its customers not only to expose Workday information, but also 3rd party / partner information via REST APIs. A good move, that may give the HR system another shot at becoming truly the all-encompassing employee directory (something the overall industry has by large failed at).


 
Workday Rising 2017 #wdayrising Holger Mueller Constellation Research
Duffield and Bhusri on the Power of 1

Platform functionality push – Workday is extending its platform capabilities. No surprise – there is Workday Voice – the vendor’s approach to voice recognition. Unfortunately, not show, but vendor independence is the architecture design point a good true north. Workday Bot powers the chat or voice conversations. And Prism analytics, powered by Platfora software and know how assets has gone live for some and in beta for some other capabilities. Finally, Workday Benchmarking has gone GA a few weeks before Rising.

 
Workday Rising 2017 #wdayrising Holger Mueller Constellation Research
Workday People Experience [Portal]


Progress in Learning and overall in Talent Management – Learning was the latest addition to the Workday Talent Management capabilities – and it is seeing good customer adoption with about 200 customers having purchased, implementing or being live on it. And Workday is bringing all of Talent Management together with a concept of development journeys – an interesting approach to make Talent Management really work from a talent augmentation and career perspective. 

 
Workday Rising 2017 #wdayrising Holger Mueller Constellation Research
Workday Cloud Platform


Workday Cloud Platform – Already mentioned at the recent Workday partner event, Workday also shared its PaaS plans at Rising. It is early days, with 30 services available and a little more than a handful of customers in beta. That will change in 2018 with more early adopters building use cases with Workday Cloud Platform. An interesting takeaway from the executive Q&A was that ISV uptake is expected in a year from now.
 

MyPOV

A good Rising for Workday customer. record attendance with 8500 participants always give a ‘natural’ adrenaline rush to all who made it to McCormick. And Workday is broadly pushing functionality in its core products, but also adding key platform capabilities with PaaS, DaaS and the Prism analytics. Workday Voice and Workday Bot are changing the user experience in the right direction. Unfortunately, it did no keynote time – after being featured prominently a year ago.

On the concern side, Workday has a lot on its hands. On top of the all the above mentioned innovation, it also is running its first AWS based data center in Montreal, and moving to a more modern container based architecture (Kubernetes). That is a lot to do, but it is key for Workday to provide all of this innovation to remain in a good place when it comes to the newer technologies and platforms. The good news is, that Workday moves to a more commonly understood (and accepted) operating model for SaaS vendors, that should help the vendor reduce its capital expenditures in data centers and that are hopefully invested into new SaaS capabilities. And Workday has a good track record to deliver what it puts on the roadmap.

Overall Workday is moving in the right direction, I’d like to see it move a little faster, but customers will be in good shape as long as Workday delivers on the platform, architecture and functionality capabilities it has announced and shared at Rising. CxOs making decision should practice the usual caution as with all new products – minimum required capabilities, commercial implications, and roadmap are a few prominent considerations to mention. Stay tuned.


Want to learn more? Checkout the Storify collection below (if it doesn’t show up – check here). There is a total of four Storifys - below is the executive keynote. You can find the Friday keynote here, and takeaways from the Q&A with Bhusri and executive round tables here (very interesting).

 
More on Workday
  • Summer 2017 News Analysis - Workday announces its PaaS - read here
  • News Analysis - Workday, IBM Form Strategic Partnership on the IBM Cloud - The IaaS vendor race for SaaS load is on - read here
  • News Analysis - Workday Delivers Payroll for France Customers - read here
  • Progress Report - Workday Tech Summit - Good Progress, More Insights, Less Concerns - read here
  • News Analysis - Workday and ADP partner to Deliver a Seamless Customer Experience for Global Payroll - read here
  • Event Report - Workday Rising - Learning is there and good housekeeping - read here
  • News Analysis - Workday completes Talent Management with Learning - Finally - or too late? Read here.
  • Event Preview - What I would like Workday to address this Rising read here
  • News Analysis – Workday to Expand Suite of Applications for Healthcare Industry - with a SCM twist - read here
  • News Analysis - Workday supports UK Payroll - now speaks (British English) Payroll  - read here
  • Workday 24 - 'True' Analytics, a Vertical and more - now needs customer proof points - read here
  • First Take - Top 3 Takeaways from of Workday Rising Day 1 Keynote - The dawn of the analytics era - time to deliver Insight Apps - read here
  • Progress Report - Workday supports more cloud standard - but work remains - read here

Find more coverage on the Constellation Research website here and checkout my magazine on Flipboard and my YouTube channel here.
 
Future of Work Tech Optimization Innovation & Product-led Growth New C-Suite Next-Generation Customer Experience Data to Decisions Digital Safety, Privacy & Cybersecurity Distillation Aftershots Revenue & Growth Effectiveness workday Leadership ML Machine Learning LLMs Agentic AI Generative AI AI Analytics Automation business Marketing SaaS PaaS IaaS Digital Transformation Disruptive Technology Enterprise IT Enterprise Acceleration Enterprise Software Next Gen Apps IoT Blockchain CRM ERP finance Healthcare Customer Service Content Management Collaboration AR CX EX Employee Experience HCM Cloud HR CCaaS UCaaS Enterprise Service Chief People Officer Chief Information Officer Chief Executive Officer Chief Technology Officer Chief AI Officer Chief Data Officer Chief Analytics Officer Chief Information Security Officer Chief Product Officer Chief Experience Officer Chief Customer Officer Chief Human Resources Officer