Results

Connected Enterprise Opening Remarks - The AI Driven Future Ahead

Warm welcome to the 7th annual Constellation Connected Enterprise! Get an overview of the event, check out the graphical recordings and fire up the event app. Constellation Analysts share their perspectives on the latest strategic business insights on the most impactful trends in technology affecting business growth.

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Constellation Connected Enterprise 2017: Day Two Recap

Constellation Insights

Constellation's Connected Enterprise 2017 event continued on Thursday at the Ritz-Carlton Half Moon Bay, with a series of panels and special guests exploring the implications of emerging technology from a variety of industry perspectives. Here's a look at some of the brightest ideas shared onstage.

The future of retail, customer service and personalization:

Today, the key to customer service is delivering it before it's even requested. Comcast understands now more than ever what is happening with its customers, said VP Martin Marcincyzk. The cable provider's instrumentation lets staff know things like when customers are running speed tests because their connections are slower than they'd like. "Instead of them calling us, we can fix it behind the scenes," he said. "Our first goal is to self-heal the network. If we can't, then we want to go out and provide some self-service options for them to fix it on their own."

Meanwhile, MGM Resorts is in a unique position, in that it delivers a common service—hospitality—but in multiple locations and experiences across its Las Vegas properties, said Steve Schnur, executive director of merchandise planning and retail systems: "We have a different customer in every property every day." One might be there for a conference, another for a casual leisure vacation, and a third for a wild bachelorette party, Schnur noted. "Understanding who is there and why they're there is important to me." 

An MGM retail store has flippable shelving. On a given morning, as trade show attendees stream toward a keynote hall, a shelf may hold pastry and coffees. But at night, as revelers head out to clubs, those same shelves might be flashing an array of mini liquor bottles. "You have to get the supply chain to understand who the guest is," Schnur said. "It's different every day, it's different every week."

Government 2.0:

Historically, government services have been delivered on a local level, agency to citizen in a human interaction-driven manner. In the digital age, that's not always the case, noted David Bray, executive director of the People-Centered Internet. ""The world we're going to is one where geography might be moot," said Bray, a former CIO at the Federal Communications Commission. The packet latency between Washington, D.C. and a midwestern state is seconds, "not four days on horseback," he said.

As governments move more services online, however, it's important to take all citizens along for the ride. "There is a lot of bias when it comes to technology and data," said Teresa Shea Booher, program analyst at the National Institutes of Health. "With older Americans, health is one of the biggest costs we have," Shea said. While telehealth is rapidly coming into vogue, "are older people using it," she asked. "No they're not. How do we get those people to understand and adopt it?"

Government could also learn something from the consumer web when it comes to e-services, Booher added. "It would be great to have Yelp reviews for government offices," she said. "There's something to be said about public-facing feedback. If people say you suck, you're going to want to do something about it."

Big data, bad decisions:

The rise of big data analytics has given enterprises a powerful toolbox for running operations, serving customers and coming up with new business models. But tools are inanimate objects that still require savvy thinking, as Tricia Wang, CEO of Sudden Compass said during a keynote. "Companies can often succeed at innovation but still fail miserably at decision-making," she said.

Consulting firms often perpetuate the idea that innovation can simply be bought, and that's a dangerous notion, she added: "The idea of throwing more resources at innovation is seductive, because it's like saying innovation at the end of the day is a transaction, something you can purchase."

While corporate R&D spending is now $680 billion annually, other statistics show that ROI on R&D spend is on the decline. "It seems like no matter how much we pour into innovation we keep falling short," Wang said.

The self-driving era's potential:

It would be a mistake to view self-driving vehicles as merely a means toward convenience, in the view of Evangelos Simoudis of Synapse Partners. Simoudis has authored a new book in which he lays out a series of implications for autonomous vehicles, such as new OEM business models for predictive maintenance, intelligent feature packaging and tailored financing; connected services for intelligent road infrastructure, public transit, hazard and disaster mitigation; and fleet services, with dynamic freight pricing, driver behavior analysis and other offerings.

Over-the-air software updates for autonomous vehicles will deliver far more than bug fixes and new platform features, Simoudis noted. OTA also means new opportunities for commercialization, such as the enablement of one-time features and capabilities, whether for consumer vehicles or commercial fleets.

Autonomous vehicles are close to reality. You can expect the presence of them on highways in certain locations sometime next year, said Andrew Dondlinger, VP and general manager of connected services at truck and engine manufacturer Navistar. Human drivers will have a role in an autonomous trucking world, such as by handling last-mile deliveries after autonomous trucks arrive at regional depots after long highway drives, he added.

The future of marketing:

"Marketing and marketers are at the forefront of digital transformation," said Loni Stark, senior director of strategy at Adobe. "It's driven by individual behaviors. The challenge is how to be more relevant and personal, to be able to deliver the right content to a person at the moment they need it."

In exchange for real value, consumers will engage with brands at a deep level, noted Sameer Patel, CEO of marketing automation startup Kahuna. "You're willing to tell Uber where you live and where you are now," he said.

Going forward, marketing is neither an art or a science, but rather a craft, Patel added. "It was an art when we didn't have the science, and you couldn't say whether it was wrong or right," he said. "We swung to the other end of pendulum when it became data-driven."

Today, effective marketing is all about taking the answers generated by digital systems, while using one's wiles and instincts to create the best customer experience, Patel said. "The best marketers will be craftspeople."

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Constellation Connected Enterprise 2017: Day One Recap, Part II

Constellation Insights

Constellation Connected Enterprise 2017's first day continued with another series of expert panels on exponential technologies. Here are some of the highlights from the afternoon's sessions.

How to change business models in the modern age:

One panel discussed how companies with entrenched cultures and business processes can successfuly pivot to new ones. The key lies in the perspective and orientation one takes when seeking change, panelists said.

"We ask who is the customer, and what are they really buying," said Jason Wild, SVP of global innovation at Salesforce. "Are they buying software licenses? Maybe, but what we want them to buy is digital transformation. If it's [an Amazon customer], are they buying 450 SKUs? Or are they buying convenience?"

True change is created outside the boundaries of traditional structures, said Scott Pulsipher, president of Western Governors University. "If you ask the people who are running the current business, they're in a world of constraints," he said. "If the goal you have is to design something for the future, but also maintain ongoing concerns, you will never prevail."

Samsung's software innovation team, which is based in Silicon Valley and not Korea, reflects this mentality. "My job is 100 percent to defend the guys I hire out here," said Samsung corporate SVP Sunny Kim. He cited a Samsung's Family Hub line of refrigerators, which include interactive touchscreens where family members can share calendars, notes and otherwise stay organized. The software that went into driving that fridge was created by a four-member team in the U.S., one that innately understood the longstanding tradition of refrigerators as a means for familys to share information, Kim said.

Pulsipher of WGU pointed to Amazon's approach to financing third-party sellers on its platform. Rather than look at it as purely an opportunity to make money off interest, Amazon leveraged its superior trove of operational data about its sellers—from volume of sales to return percentages and customer reviews—to make determinations for credit much more quickly and with less risk than traditional scoring methods. Amazon benefits not only from financing fees but increased revenue-sharing as third parties sell more. "How did this happen?" Pulsipher said. "Someone just looked at it differently. You have to look around corners."

Augmented and virtual reality rising:

Is there serious potential for commercial applications of augmented and virtual reality in the enterprise? Yes indeed, if you look at the example of Pokemon Go. The augmented reality smartphone game generated a whopping $600 million in just three months during its initial release last year, providing an irrevocable proof point that end-users want to interact with their devices in this manner. Panelists at CCE mulled the broader implications of augmented and virtual reality in enterprise applications.

The subject of using Youtube videos to figure out how to build things, cook recipes and perform other tasks—such as fixing a leaky faucet—came up. Augmented reality applications, which can annotate and overlay images on videos in real time, change the stakes. "It's a Sunday night, you've got a plumbing problem," said Brian Katz, enterprise architect and strategist at Oath. "What if instead of making a house call and charging you $100, he could walk you through it [with augmented reality] for $20?"

Making your brand iconic:

There are millions of brands and products in the world, but only a relative few can be considered iconic. Is there a prescription for creating iconic products? While not quite a blueprint, a set of guiding philosophies does exist, said Soon Yu, author of the new book Iconic Advantage. 

An iconic product stands out uniquely, relevantly, but also timelessly, Yu noted. "Over time, you become the standard bearer for that distinctive relevance." As people, we all have the ability to be distinct through a particular legal entity, namely our signatures, Yu added. "When you think about your business, and the clients you're looking for, what's your signature? If I was to poll three of your customers and ask them, would they say the same thing?"

Signatures can have many facets, such as features—take Nike's air bubble sneaker soles. There's also style, evidenced by Burberry's skillful use of classic English plaid patterns. Even silouhettes can have a signature: Look no further than a bottle of Corona beer with a lime wedge stuck in the top.

Perhaps the most important aspect of a product's signature is the experience, Yu said. He pointed to Apple's device packaging, which many buyers end up keeping rather than discarding in the trash. "It's a work of art," Yu said. "It's something of beauty that's worth keeping."

Future of Work Marketing Transformation Matrix Commerce Next-Generation Customer Experience

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 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

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

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

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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

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.

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