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SAP Hybris Live 2017 Barcelona - YaaS morphs and more agility ahead

SAP Hybris Live 2017 Barcelona - YaaS morphs and more agility ahead

We had the opportunity to understand SAP Hybris’ user conference, Hybris Live, held in Barcelona from October 17th till 19th2017. The conference was well attended, with over 3000 attendees. It also marked SAP Hybris’ first user conference outside of Germany and the 20thanniversary of the Hybris. The conference had a great show floor design, similar to Sapphire, mixing education, SAP and partner booths, refreshments and demo stations in a great setup.
 
 
Of course there is an event video - take a look:

 

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



 
 
Want to read on? Here you go:
 
The SAP Network Economy Message comes together – In spring SAP re-organized its network economy assets (SAP Ariba, SAP Concur, SAP Hybris and SAP SuccessFactors) under Rob Enslin (see news analysis here). The messaging how these entities and products fit together, relate to overall SAP strategy, take up new technologies, relate to S4/HANA etc. is getting clearer (and better) since summer. This is a key area of interest for suite level SAP customers and prospects.

 
Thoma opens SAP Hybris Live Constellation Research Holger Mueller
Thoma opens SAP Hybris Live
Multicloud for SAP Hybris – SAP Hybris’ YaaS strategy is moving towards a general micro services strategy, that can be deployed on the usual IaaS choices, with Kubernetes doing a lot of the heavy lifting. But it also gives SAP Hybris the option to deploy on premises, reaching more customers. The move to microservices and higher consumability is giving customers and prospects flexibility that is key for ecommerce and next gen application deployments.

 
Thoma and his One Channel Vision Constellation Research Holger Mueller
Thoma and his One Channel Vision


Hybris Profile gets Gigya – SAP recently announced the acquisition of Gigya (see press release here), adding capabilities in access and identity management. Though the acquisition hasn’t closed, and executives were not allowed to make forward looking statement, it is clear Gigya will strengthen the SAP Hybris Profile. But it is only a start, more information needs to be collected, including (of course GDPR compliant) 3rdparty information.

 
The YaaS Agility Layer Concept SAP Hybris Holger Mueller Constellation Research
The YaaS Agility Layer Concept
YaaS goes to next level – SAP has been at the forefront of APIs with YaaS when the services were announced at Sapphire 2015. SAP is moving the developer centric message more to CxO decision makers, a good shift. SAP Hybris has also understood one of the fundamental issues of building a next generation application – once it is build, there is an integration problem (with the rest of the automation of the enterprise). SAP Hybris plans to address this with the SAP Hybris Agility Layer, allowing to combine the customer facing and back office systems in an elastic, non-monolithic way. A very good capability to have, that customers will welcome.  
 

MyPOV

Overall a good user conference for SAP Hybris, that is growing and showing important functional extensions. Good demos with the Galaxy show floor tracking and VR visualization, the Charly conversational capabilities and the Pepper in store assistant were all well received and show that SAP Hybris has good plans on what is coming next. The shift from developer to executive for YaaS is a good one, at the end of the days it is CxOs who make the decision what to build in enterprises, get the budget and put their reputation (and career) on the line for that next generation application project. The plans around the SAP Hybris agility layer are very promising, solving not only the integration problem – but also create a non-monolithic platform connecting customer and core systems.
On the concern side, SAP Hybris is in the middle of a transformation on the platform side and at the same side customer best practices are changing. SAP overall is trying to capture this with its design thinking projects under the Leonardo umbrella, it is not clear how SAP Hybris is part of them. Equally missing is the overall SAP CRM vision and plans, something that always affects ecommerce plans, where SAP Hybris plays. Lastly SAP needs a 3rd party data and overall DaaS strategy, as customer acquisition and sentiment collected from first party data – will always remain only a fraction of the challenge ecommerce vendors have to solve.
 
But overall satisfactory progress by SAP Hybris. Sometimes user conferences come at a time that does not fit overall strategic positioning cycles, executive transition and product life cycles. We will need to check in at SAP Hybris live 2018 to get a better feel of innovation speed of vendor and readiness to uptake innovation by customers and prospects. Stay tuned.

Don't miss the Storify tweet collections summing up the days of SAP Hybris Live (here is day #1) - this is the day #2 keynote:
 

 

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Constellation Connected Enterprise 2017: Day One Recap, Part I

Constellation Connected Enterprise 2017: Day One Recap, Part I

Constellation Insights

Constellation Connected Enterprise 2017 is kicking off today with a series of keynotes and panel discussions focused on exponential technologies—blockchain, AI, self-driving software and more. Here's a recap of the first half of the day.

Provocative thoughts on blockchain:

Constellation VP and principal analyst Steve Wilson moderated a lively panel of practictioners with hands-on, real-world experience with blockchain and distributed ledger technologies.

"Bitccoin is to blockchain what AOL chat was to the Internet," said Richie Etwaru, CDO of Quintilesims and author of a new book on blockchain's potential to impact commerce on a global scale. "The killer apps are on the trust side," Etwaru said. "[With blockchain] people aren't trying to build a new product or a new company. They're redesigning entire industries from the ground up. ... People are building completely new business networks and it's in the hands of the youth."

It's important to understand that blockchain can have more than one killer application within an industry, said David Chou, chief information and digital officer at Children's Mercy Hospital. "From the healthcare perspective, we're trying to tackle the big elephant of patient data, but you could break it down further into areas such as doctor credentialing," he says.

Once one gains a baseline understanding of blockchain's purpose, imagination must come into play, said Melanie Nuce, VP of corporate development at GS1 US.

"Intellectual curiosity is at a deficit in our society today," Nuce said. "The only way I can get supply chain people to udnerstand blockchain today is to talk about order-to-cash. I don't want them to reinvent what they're doing today on blockchain, I want them to do something different."

Workday CEO Aneel Bhusri on building a winning culture:

Bhusri was the youngest person on Workday's management team over his past five years as CEO, he told Constellation founder and CEO R "Ray" Wang during a fireside chat. Also, four or five years ago, instead of having an eight to 10-member senior management, Workday went to a 20 person team, with each senior executive essentially shadowing a younger individual tabbed to eventually replace them as they step back to different roles.

This dynamic played out very recently as longtime CTO Stan Swete ceded the chair to Joe Korngiebel. "It's bulky and cumbersome, but necessary to build that next generation," Bhusri said.

Workday's toughest decisions have always been around people—when to hire, when to fire. The company has nine percent turnover in Silicon Valley, an outlier by any standard, and less than three percent turnover in its Dublin operations. Half of the company is new within the past two-and-a-half years, including half the managers.

"We saw our culture under assault, mostly from the new manageers not knowing how to manage," and has been decisive but generous when parting ways with people, Bhusri said. Individual contributors, from developers to sales people, "do all the real work," he added. Workday seeks to bring on managers it believes are close to a 100 percent fit for the job—not 80 or 90 percent. "An 80 or 90 percenter will have problems," Bhusri said. Workday believes its employee-first approach is translating to happier customers.

Assessing the state of AI:

A number of panels on day one focused on machine learning and artificial intelligence. Panelists were asked for their preferred definition of the state of AI in 2017. "If AI could actually speak it would be like Bones in Star Trek," said Jana Eggers, CEO of AI startup Nara Logics. "It would say, 'I'm a mass, not a sentient being.' AI is a tool, it's not this oracle. I think we get that confused often. We are the people that use the tool."

Other panelists echoed the sentiment. "At this point we're still at the augmented intelligence level, where we make the decisions," said Bernt Wahl, executive director of the Brain Machine Consortium. "But in the future, more of those decisions will be made by autonomous entitites."

The question of ethics in AI came up multiple times on day one. Panelists emphasized that an AI system's results should always be tempered with skepticism. "We need to recognize that machine learning is only as good as the data fed into it," said David Bray, executive director, People-Centered Internet. Bray pointed to FaceApp, a an app developed in Russian that makes anyone's skin complexion lighter if they hit the "beautify" button. The data informing FaceApp's algorithms "may have been nondiverse," Bray noted.

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Digital Transformation Digest: Cisco Buys Broadsoft, Cray Supercomputers Land on Azure, the Linux Foundation's Open-Source Licenses for Big Data

Digital Transformation Digest: Cisco Buys Broadsoft, Cray Supercomputers Land on Azure, the Linux Foundation's Open-Source Licenses for Big Data

Constellation Insights

Cisco buys Broadsoft for $1.9 billion: Shortly after reaching its 200th-acquisition milestone, Cisco is plunking down $1.9 billion to acquire Broadsoft, a maker of communication and collaboration software with broad inroads to the telecom carrier industry.

Broadsoft sells hosted software for SMBs through service providers and has existing relationships with 450 telcos in 80 countries, representing a 19 million-plus user base. Its offerings will complement Cisco's on-premises and hosted collaboration software products for large enterprises. Here's how Cisco measures the value proposition:

By combining BroadSoft's open interface and standards-based cloud voice and contact center solutions delivered via Service Provider partners, with Cisco's leading meetings, hardware and services portfolio, the combined company will offer best-of-breed solutions for businesses of all sizes and deliver a full suite of collaboration capabilities to power the future of work.

The acquisition of BroadSoft reinforces Cisco's commitment to Unified Communications and enhances its ability to address the millions of aging TDM lines poised to transition to IP technology and cloud native solutions over the coming years. 

POV: The deal will close early next year. While Cisco's characterization of the deal as complementary is basically expected, there do seem to be some overlaps in the companies' product portfolio, chiefly between Team-One, the unified workspace application Broadsoft rolled out last year, and Cisco Spark. The jury is out on exactly how Cisco will merge the products, or if it will in a meaningful way at all. 

"Cisco continues to broaden its portfolio of capabilities using acquisitions to move into new areas and add new customers as the definition of networks and networking shifts into 'connectivity,'" says Constellation VP and principal analyst Andy Mulholland. "People, devices, and computers are all merging into a ubiquitous infrastructural capability supporting not only new software demands, but new business ways of working and interacting. The result is reshaping the market and and merging previously separate segments in such a way that previous partners are becoming competitors, driving Cisco to extend its portfolio to compete in new areas."

 


Microsoft brings Cray supercomputer access to Azure: IaaS vendors have been working to provide HPC (high-performance computing) options for some time now, but Microsoft is hoping to stand out from the competition with the help of the most venerable brand name in the space, Cray.

The company's supercomputers will be available in certain Azure data centers, giving customers the ability to tap a Cray's power without making the massive investment in owning one themselves. Here's how Cray's official announcement puts it:

Cray in Azure will open up the power of supercomputing to a broad new cross-section of businesses and organizations with growing mission-critical, scalable applications needs. The dramatic growth in AI, machine and deep learning, and data analytics is driving the need for scalable simulation capability — and vice-versa — in a virtuous cycle where companies and organizations will vie for competitive advantage.

We’re thrilled to be able to offer the performance and scale of an on-premise supercomputer in the Azure cloud.

POV: Cray and Microsoft foreshadowed this announcement last year, when they worked together to scale Redmond's Cognitive Toolkit deep learning framework on Cray machines. Microsoft also recently acquired Cycle Computing, a startup specializing in hybrid HPC deployments. It's not immediately clear when access to Crays on Azure will be available, but in the meantime, they've been integrated with Azure VMs, Data Lake Storage and Azure Machine Learning, according to a statement.

While it's obviously been possible to run high-end workloads on Azure already, particularly with NVIDA GPU-powered instances, the addition of dedicated Cray supercomputer access looks to serve the most demanding needs, such as for pharmaceutical research. Overall, the partnership seems like a win for all parties, as Microsoft can offer existing customers painless access to Crays, while Cray gets more exposure with Azure's installed base.

Linux Foundation unveils open-source big data licensing proposal: The Linux Foundation is hoping to do for data what its work has accomplished for open source software, through a new family of Community Data License Agreements unveiled this week. Here's how the nonprofit describes the licenses' goals:

The growth of big data analytics, machine learning and artificial intelligence (AI) technologies has allowed people to extract unprecedented levels of insight from data. Now the challenge is to assemble the critical mass of data for those tools to analyze. The CDLA licenses are designed to help governments, academic institutions, businesses and other organizations open up and share data, with the goal of creating communities that curate and share data openly.

For instance, if automakers, suppliers and civil infrastructure services can share data, they may be able to improve safety, decrease energy consumption and improve predictive maintenance. ... Self-driving cars are heavily dependent on AI systems for navigation, and need massive volumes of data to function properly.

Similarly, climate modeling can integrate measurements captured by government agencies with simulation data from other organizations and then use machine learning systems to look for patterns in the information. ... This knowledge may help improve agriculture or aid in studying extreme weather patterns.

The Linux Foundation has proposed two CDLAs. The Sharing version follows copyleft doctrine, in that while those who use data are allowed to use and modify it without restriction, they are also compelled to share back changes to the community. A Permissive version carries no such obligations.

POV: As the Linux Foundation notes, developers who use the licenses must figure out local legal issues concerning data on their own. The CDLAs merely provide a framework. However, the Foundation's prominence gives the CDLAs an inprimatur that should help spark a healthy discussion around open-source data sharing. Still, it's important to put the licenses in proper context, notes Constellation VP and principal analyst Doug Henschen.

"Linux is widely used and the operating system of the cloud, but it's hardly the be-all-and-end-all of data destinations," he says. "Data consumption, analysis and delivery happens on many platforms, including iOS, Android and Windows devices, so Linux isn't everything. They seem to be talking about high-scale systems and sources, so Linux is a good starting point for a license discussion, but it's just that—a starting point."

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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

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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.

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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. 

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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

 

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