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Internet of Things At Dell EMC World

Internet of Things At Dell EMC World

Enterprise begins to meet operations from the enterprise side of technology at Dell World—now Dell EMC World following the mammoth acquisition of EMC by Dell last year–via the Internet of Things. That followed Michael Dell leading the company into privately owned territory.

Michael Dell himself prominently mentioned manufacturing and Internet of Things (IoT) during his keynotes of 2015 and 2016. Perhaps not as much this year at the first totally combined conferences held May 8-11 in Las Vegas. But there was so much enterprise product news and so little time.

Dell also stressed the success of combining the companies as well as making clear the new organization structure of Dell Technologies—the company name—consisting of Dell, Dell EMC, Pivotal, RSA, SecureWorks, Virtustream, and VMware.

Digital Transformation formed the theme message of the week. This conversation consists of business transformation and applications changes rapidly taking place now. Part of the transformation is formed by IT Transformation requiring adoption and assimilation of a new generation of servers, applications, and technologies. Millennials’ expectations (and maybe also some of us “old” guys) fire the Workforce Transformation now building. One study found that 82% of millennials would quit or not hire in initially based upon the level of technology tools offered. Finally all this digital infrastructure, the cloud, and communications are fueling the Security Transformation.

Of course, Dell Technologies is positioned to lead in all of these. Michael Dell pointed out that the company is the leader in 15 Gartner Magic Quadrants.

Internet of Things

But we are really here to discuss the point of intersection of all this IT stuff with Operations Technology—the Internet of Things. Dell EMC IoT leader Andy Rhodes received prominent positioning during the Day Two Keynotes. As an aside, the Day Three technology keynotes blew away any really cool tech keynotes I’ve seen in the past. Must be nice to have marketing dollars.

By the way, at 5’10” I think of myself of at least average height. Talking with some of the IoT team leaders made me feel like a refugee from the Island of Lilliput. Andy Rhodes, Jason Shepherd, and Keven Terwilliger are 6’5”, 6’’7”, and 6’8” (if memory serves).

News Summary:
• New VMware Pulse IoT Center, Dell EMC IoT Technology Advisory Services simplify IoT deployments
• New IoT partnerships with Atos, Bosch and more
• Dell EMC and VMware, founding members of new EdgeX Foundry Linux Foundation project, join 50 other companies to build open framework for edge computing

New IoT Products and Services

Simplified “Things” Management – The new VMware Pulse IoT Center is a secure IoT infrastructure management solution that will enable customers to have complete control of their connected things. VMware Pulse IoT Center will help customers to more efficiently manage, operate, scale and protect their IoT projects from the edge to the cloud. Dell will be offering VMware Pulse IoT Center as the preferred enterprise management and monitoring solution for Dell Edge Gateways. By plugging Pulse IoT Center into the new EdgeX Foundry, VMware will be able to offer system and device management for the EdgeX ecosystem.

IoT Advisory Services – IoT Technology Advisory Service is a new consulting offer from Dell EMC Services to help organizations determine the key capabilities and architecture required to leverage IoT data (e.g., sensors, beacons, gateways, mobile phones, wearables, connected devices). This information can be used for initiatives such as optimizing key operational processes, reducing compliance and security risks, uncovering new revenue opportunities and creating more compelling customer engagements.

Open Source Framework for Interoperable Edge Computing – The Linux Foundation recently launched EdgeX Foundry, an open source software project chartered to build a common framework and surrounding reference platform for edge computing. It will drive interoperability between proprietary value-added applications and existing connectivity standards. It was started by a community of more than 50 companies such as AMD, Analog Devices, Dell EMC, Foghorn and VMware to enable an ecosystem of plug-and-play components that can be combined to quickly create secure and scalable IoT solutions. Dell contributed more than a dozen microservices and over 125,000 lines of source code under Apache 2.0 to seed the project, additional contributions are already underway from other members. EdgeX Foundry is architected to operate on any hardware, on any operating system and with microservices developed in any application environment for maximum scale.

I have previously written about the Open Source EdgeX Foundry. This, I feel is the most significant of the news. The VMware announcement shows the coming together of the various parts of the Dell Technologies portfolio. People studying IoT for implementation in their companies are considering whether going with a consultant is the wise thing to do. Dell EMC now offers that alternative.

Curated Partnerships

Dell has carefully curated a group of IoT software and services partners through the Dell IoT Solutions Partner and Dell EMC Partner Programs. Many partners have deep, proven expertise in industry-specific IoT challenges, and can help with everything from managing multiprotocol data sources to security to analytics. New partners recently added to the program include Atos, Bosch, GreatBay Software, ForgeRock, IOTech, Mocana and Modius.

Today’s key IoT partner news includes:
• Dell and Bosch have jointly developed an Industry 4.0 jump start kit to help customers implement IoT projects quickly to realize faster ROI. The kit consists of multiple Bosch XDK sensors, a Dell Edge Gateway, ready-to-go use-cases, cloud integration and software, all preconfigured.
• Atos and Dell EMC are working together to build an IoT service management framework, Atos Codex IoT Services, to allow customers to be assured that all users can continuously create value from their connected devices.

[DISCLAIMER: Dell Technologies provides some compensation to support my work. It does not edit what I do.]

Building A Digital Industrial Ecosystem

Building A Digital Industrial Ecosystem

Industry and manufacturing leaders recognize the trend to the next step in the evolution of enterprise effectiveness and success. The industrial digital revolution is an overnight sensation that has been 30 years in the making. We began with digital controls then adding human interface and then information handling.

Internet of Things with its proliferation of sensors and other smart edge devices, IP networking, data science, and advanced analytics (business intelligence) combined take us to a whole new level of enterprise effectiveness.

The trite question from marketing people often goes, “What’s keeping our customers awake at night?”

Well, are executive worried about the capability of technology?

Two research reports just came my direction recently from a couple of my go-to sources for what’s happening with the thinking in the industrial/manufacturing executive suite. One is from PwC, What’s Next in Manufacturing: Building an Industrial Digital Ecosystem, and the other from Accenture Digital Skills Gap Slows Manufacturers’ Push to Build Digital Factories.

No, it’s not technology that worries them. First it’s people and culture. Are there sufficient people with digital skills? Will the culture make the transition? Then, of course, they worry about how large the investment might become and what the return will be. It’s people and economics.

PwC Digital Industrial Survey

In this report, PwC shares results from a survey of global industrial products companies, shedding light on what manufacturers are doing now to build out their digital operations and what bottom-line benefits they expect to yield through those efforts.

Buying into digital: manufacturers plan to ramp up investments

In the last two years, US manufacturers invested an average 2.6% of their annual revenue in digital technologies. In the next five years, they expect to lift that investment to 4.7% of revenue—for an estimated $350 billion in investments in digital operation technologies across automotive, industrial production and manufacturing industries alone.

Venture capital funds flowing, too

Since 2011, some $3.6 billion has poured into VC-backed start-ups across a selection of digital technology sub-sectors, with investment rising at a 47% clip–more than double the annual growth of total VC funding (18%) in all sectors over the same period.

“Digital deals” have comprised 15% of all US M&A activity since 2012

According to a PwC/Strategy& analysis, more than $6.0 billion has been invested on “digital deals” in North America alone since 2012, comprising some 15% of all M&A deals over that period.

The greatest challenge to a “digital vision” is cultural

In the context of embracing digital operations technology, three of the top 10 challenge areas identified by surveyed companies relate to organizational readiness and financial concerns. Some companies anticipate high investment requirements with unclear return on investment, and lack of digital standards and issues related to data security and intellectual property are also noted.

PwC Mfg Research 1 May 2016

Monetizing digital operations sought through cost reductions, revenue generation

Nearly two-thirds of manufacturers expect that adopting digital manufacturing technologies will translate into lowering operating costs by at least 11% mostly via efficiencies through automating processes and production.  Meanwhile, over half of these manufacturers expect such adoption to boost revenues by at least 11%.

How digital technologies drive bottom-line results   Manufacturers are just scratching the surface of monetizing digital manufacturing.  Some key drivers to achieving cost-cutting and revenue uplift from digitization with the introduction of smart, connected manufacturing technologies and products and services include:

  • Lowered “price of variability” across production and processes
  • Moving from analogue products to  “connected, digital products”
  • Manufacturing data…and  new business models
  • Software-enabled upgrades to products
  • Pay-as-you-go model

Building a digital manufacturing strategy

Building a digital strategy requires a thorough self-assessment to determine a company’s “current state” of its digital evolution—and, just important, defining its “target state”.  This means tailoring digital operations solutions to a business’ assets and making the right moves at the right time—from ramping up data analytics capabilities, to monetizing product data to considering a “digital deal”.

PwC Digital Mfg Research 2 May 2016

PwC concludes, “The future of digital manufacturing holds many “what-ifs”.  But, if it unfolds as dramatically as our survey indicates, most all manufacturers will be altered to some degree.  And, for every “what if”, there are choices manufacturers ought to consider.”

Accenture Researches Industrial Digital

Take a look at some of the results of Accenture’s research. Although the majority ofmanufacturers have implemented digital platforms, more than half (51 percent) lack the skills to operate digital factories. The more successful manufacturers have advanced talent strategies in place to digitally enable the workforce of the future.

Cracking the Code on the Digital Factory, a report based on a global study of 450 manufacturers, found that a growing skills gap is one of their biggest concerns – a situation that has worsened in recent years as manufacturers have transformed their operations using new technology, analytics and mobility capabilities.

Accenture May 2016

Fifty-five percent of manufacturers, up from 38 percent in 2013, reported a skills gap among skilled trades laborers, who need to operate increasingly advanced digital machinery and equipment, such as 3D printers or modeling and simulation tools on the plant floor. Likewise, 60 percent of manufacturers, up from 31 percent in 2013, cited a shortage of maintenance workers skilled in the use of predictive maintenance analytics that leverage data from embedded sensors in a machine-to-machine environment.

“For manufacturers to realize the full potential value of digital factories, they need to redesign their workforce to include new manufacturing skills, such as analytical reasoning and data-driven decision support,” said Russ Rasmus, managing director, Accenture Strategy. “Developing a comprehensive talent strategy inclusive of new digital skills is an imperative for today’s manufacturers.”

Digital Factory Leaders

The research identified a small group of manufacturers (8 percent) that outperformed their peers by increasing production and profitability by more than 10 percent since 2013. These “leaders” are more likely than their peers to understand which new skills they need for future growth and success, and have a more effective strategy to attract, develop and retain this new breed of manufacturing talent.

A majority of these leaders (73 percent) more frequently reported already having the requisite digital skills, as compared to 49 percent of other manufacturers, and they were nearly 50 percent more likely to report a higher degree of visibility into what skills they needed. That has allowed most of the leaders (81 percent) to achieve greater internal workforce mobility in roles involving digital, enabling them to match employees with managers who need those skills.

Barriers to Success

While these digital factories are enabled with rapidly developing technology innovations, the technological aspect of their implementation is not the top barrier to success. Seventy-five percent of the deployment challenges cited by survey respondents are related to skills, organizational change or structure, and the talent within the organization.
Chief obstacles that hinder manufacturers’ digital adoption.

“Manufacturers must aggressively manage these non-technical barriers as they deploy their digital factory capabilities. These include the ability to create new processes, lead teams made up of workers and machines, and constantly update training programs,” said Rasmus.

Operations Technology Takes Lead Over Information Technology in IoT

Operations Technology Takes Lead Over Information Technology in IoT

Internet of ThingsInformation Technology departments are playing second fiddle to Operations Technology as enterprises tune up for the Internet of Things (IoT).”

Browsing through my news sources, I discovered this provocative lede. It was something that begged for a deeper dive. Especially given the continuing conversations about the IT/OT divide. Then there is the question about the source of innovation in a company. Is IT innovative? Or is OT?

The article was in Computer World. Although a little shallow, the writer nailed it for a generalist writer who doesn’t really get manufacturing. “IoT straddles IT and operational technology, two disciplines that for decades have lived side by side without much interaction. Operations people handle things like lights, locks and machine tools, while IT folks buy the computers and run them.

Now it turns out that very small computers, such as networked sensors, can help a company’s infrastructure work better. But more often than not, IT is not in charge of those systems, the Technalysis survey showed.”

The survey, The Promise and Perils of Change: Enterprise IOT Survey Report, was by Bob O’Donnell, President and Chief Analyst, TECHnalysis Research, LLC. The online survey was conducted in March 2016 of
620 US-based individuals working for companies who are involved with Internet of Things applications for their companies.

50% (310) came from medium-sized companies (100-999 employees) and 50% (310) came from large companies (1,000+ employees). Industries represented included Tech, Retail, Manufacturing,
Education, Health Care and Transportation.

I’m not sure I 100% accept his definition, but it’s a good one—“IOT is defined as a network of non-traditional computing devices that are used to collect data on equipment, people or processes in an organization. Most systems consist of simple endpoints outfitted with a set of sensors that are connected together on a network and deliver data to a central point for additional analysis. Examples of IOT solutions range everywhere from smart lighting systems to vehicle tracking devices to factory production monitoring and beyond.”

Key Findings

  • IOT usage is reasonably widespread, but still most popular with tech-related companies
  • IT is heavily involved in IOT, but operations is the group most typically responsible for IOT
    projects
  • Two-thirds of all IOT projects will be managed outside of IT

Top IOT applications are:

  • Employee monitoring
  • Security and identification
  • Energy savings

Most organizations are more focused on improving processes than saving money. This is an interesting finding. Improving processes must have financial metrics, too, but the results are usually longer lasting than a simple cost saving.

Of those who do expect to save money, top savings areas are:

  • More efficient operations
  • Monthly utilities
  • Saving employee time
  • Reduced downtime
  • Business cost of goods/supplies

When managers were projecting purchases, they looked first at edge devices or endpoints. Then they looked at networks—you’ve got to be able to connect the devices or you really won’t have Internet of Things, right?

One last thing had to do with type of networking. The origins of IoT lay with M2M, which was architected with cellular wireless communication. Three-quarters of all IoT connectivity reported was composed of WiFi and Ethernet. I’m not shocked.

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