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Converging IT and OT at the Speed of the IoT | @ThingsExpo #IoT #M2M
A recent study showed that 40 percent of companies at the top of their industries will be replaced in the next 10 years

Converging IT and OT at the Speed of the IoT

The rolling thunder of digital transformation waits for no business. It will make short work of any organization that does not evolve rapidly. CEOs must quickly define where their organizations can compete for success and lead them on that journey. If they can't-or won't-change, they risk fading away like the slow-moving dinosaurs confronted with a habitat-destroying meteor.

The IoT's Precipitous Changes
Leading analyst Gartner forecasts that 8.4 billion connected things will be in use worldwide in 2017, up 31 percent from 2016, and will reach 20.4 billion by 2020. There is already $1.9 trillion dollars' worth of economic value related to the sale and usage of IoT technology.

The impact crater of this technology shift must not go underestimated. A recent study showed that 40 percent of companies at the top of their industries will be replaced in the next 10 years. Yet, the same survey found that 45 percent of respondents do not think digital disruption is worthy of attention from their organization's board of directors.

This attitude is perilous. Just consider these examples:

  • AirBnB, Uber and Lyft are transforming how people book lodging and arrange transportation, putting enormous pressure on the hospitality and taxi industries.
  • The iPhone blew the former market leader off the map.
  • Additive (3D) printing threatens marine and overland cargo shipping companies.
  • As the photography market swung toward digital, the reign of film-based camera companies ended.

There are bright spots for agile companies, however. With the launch of Pokemon Go and its massive recent Apple partnership, Nintendo boosted its relevance by establishing a strong mobile platform.

Rapid change requires that industry leaders proactively plan. Would you rather be Netflix or Blockbuster? Nearly 30 percent of businesses worldwide have already begun limited IoT deployments, according to Strategy Analytics' IoT 2015 Deployment and Usage Trends survey. For organizations that have not yet begun, it's not too late to embrace digital transformation - but they must act now.

Turning the Ship Around
The IoT opens up new worlds of possibilities because organizations now can extract data from network-connected devices and sensors. This data was never available before. Insights from this data can add enormous value to organizations. But companies must reshape their current infrastructures in order to use their data effectively. And they must hire and train the right people to bring their digital change strategies to fruition.

The traditional siloes of information technology (IT) and operational technology (OT) are getting shaken up by the IoT. These two were once separate and did not often communicate with each other. Now they must come together. It's a huge and critical step in the digital journey. The rub? Most do not know how to merge IT and OT. Neither IT nor OT professionals fully grasp converged IoT networking. They do not understand industrial IoT security. They are not fluent in endpoint data management and analytics. And they are not at all certain how the preceding will add value to their organizations. How will it lead to new business models? Or new services and revenue sources?

It will take new talent and the right training to update the skills of existing staff and to find answers to these questions. Connecting 20 billion machines and devices is a huge task. The World Bank predicts that over the next decade, there will be 2 million unfilled information and communication technology (ICT) -related jobs worldwide. There will be a global need to train 220,000 new control engineers every year for manufacturing plant operations alone.

The IT department, known for its information processing duties, is better positioned to take the lead in the digital journey. Data from IoT connected devices will create new information to parse, interpret and monetize. But IT must collaborate with OT during the transition. After all, many of the sensors, devices, operations and software that comprise the IoT reside in the OT side of the organization.

Consider, for instance, a steam valve system that controls water flow through a cooling apparatus. It operates within the OT domain and will continue to operate in the OT domain. In the past, manual intervention was required to take its readings and make decisions. Now, in an IoT environment, data from the apparatus is collected, analyzed and acted upon via the interconnected network and IT software. Solving for manual intervention, data generated from OT-managed devices and sensors is delivered across the IT system to take critical, real-time action.

How the IoT Benefits OT
IoT advocates need to make a strong business case for its benefits to OT and the organization as a whole. For example, the IoT could boost corporate profits worldwide by 21 percent in 2022.

Safety and comfort are also IoT benefits. Connected sensors and devices can measure and manage hazardous places at no risk to human beings. The IoT can also regulate the organization's physical surroundings to control energy costs and boost comfort.

Yet another benefit of the IoT is efficiency. It will handle routine tasks like reporting misconfigurations and errors as they occur on automated assembly lines. The result? Higher yields and less downtime, which improves profits. Better decision-making is also possible due to the IoT. Pulling trends from empirical data removes assumptions from the process. The ability to view how the system behaves can yield new insights and ideas.

Over the long term, IoT data analysis holds great potential for new revenue opportunities. In the short term, the IoT's immediate effect is lower costs and increased efficiency. All departments will benefit from the IoT. However, in a major cultural shift like this, OT executives must align with current IT initiatives in addition to breaking out of existing silos. It is a tall order.

Skilled Workers in Short Supply
To make the order even taller, OT executives are facing a major talent gap. Additionally, executives lack a process or industry-approved framework for quantifying the skills needed to perform IoT job roles. Insufficient staffing and lack of expertise is the top-cited barrier for organizations currently looking to implement and benefit from the IoT, according to research from Gartner.

Further, the State of IoT 2015 Global Developer Study found that 51 percent of developers and chief information officers surveyed say they are uncertain they have the skills or resources to deliver on the promise of the IoT.

Lessons Learned
Investing in the IoT is investing in the future. Let's explore how to lay out and follow a roadmap to a successful IoT strategy. Successful digital journeys arise from two factors. The first is leadership. Organizations need to hire a digital champion with a firm IoT vision and the enthusiasm to motivate employees to make huge changes in systems and processes. CEOs recognize the importance of tying workplace culture to behavior, with 41 percent making changes to this aspect of their talent strategies. Indeed, companies that take bold actions to align their value proposition, capabilities, products and services together view their culture as their greatest asset.

Updated skills is the second factor. Seventy-two percent of the CEO respondents in the 19th PWC annual Global CEO Survey reported that the availability of key skills is a concern. Both IT and OT need digital expertise. Training staff in this new expertise is essential for organizations to avoid the meteor and thrive in their digital transitions.

No business wants to go the way of the dinosaur. Organizations understand that in order to succeed in today's environment, they need to overcome traditional siloes by bringing together IT and OT to truly get the most out of their IoT efforts.

About Sudarshan Krishnamurthi
Sudarshan Krishnamurthi is a senior manager, Business Strategy, at Cisco Systems with over 20+ years of experience in the technology industry. He leads the Business Strategy function for Education Services within Cisco. He also leads the Strategy and Portfolio Workgroups for the IoT Talent Consortium, which is an industry initiative to address the IoT skills gap and the career trajectories of the future. He has worked with many industry partner, including Rockwell Automation and Panduit, to help create the first skills-based training and certification program focused on IT and OT convergence on the industrial plant floor. Through this program, Rockwell and Cisco have jointly trained and certified more than 1,000 individuals.

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MAZZUCCO
TierPoint

RIVERA
WHOA.com

HERITAGE
Akana

SEYMOUR
6fusion

GIANNETTO
Author

CARTER
IBM

ROGERS
Virtustream
Cloud Expo Silicon Valley All-Star Speakers

TESAR
Microsoft

MICKOS
HP

BHARGAVA
Intel

RILEY
Riverbed

DEVINE
IBM

ISAACSON
CodeFutures

LYNN
HP

HINKLE
Citrix

KHAN
Solgenia

SINGH
Bigdata

BEACH
SendGrid

BOSTOCK
IndependenceIT

DE SOUZA
Cisco

PATTATHIL
Harbinger

O'BRIEN
Aria Systems

BONIFAZI
Solgenia

BIANCO
Solgenia

PROCTOR
NuoDB

DUGGAL
EnterpriseWeb

TEGETHOFF
Appcore

BRUNOZZI
VMware

HICKENS
Parasoft

KLEBANOV
Cisco

PETERS
Esri

GOLDBERG
Vormetric

CUMBER-
LAND

Dimension

ROSENDAHL
Quantum

LOOMIS
Cloudant

BRUNO
StackIQ

HANNON
SoftLayer

JACKSON
SoftLayer

HOCH
Virtustream

KAPADIA
Seagate

PAQUIN
OnLive

TSAI
Innodisk

BARRALL
Connected Data

SHIAH
AgilePoint

SEGIL
Verizon

PODURI
Citrix

COWIE
Dyn

RITTEN-
HOUSE

Cisco

FALLOWS
Kaazing

THYKATTIL
TimeWarner

LEIDUCK
SAP

LYNN
HP

WAGSTAFF
BSQUARE

POLLACK
AOL

KAMARAJU
Vormetric

BARRY
Catbird

MENDEN-
HALL

SUPERNAP

SHAN
KEANE

PLESE
Verizon

BARNUM
Voxox

TURNER
Cloudian

CALDERON
Advanced Systems

AGARWAL
SOA Software

LEE
Quantum

OBEROI
Concurrent, Inc.

HATEM
Verizon

GALEY
Autodesk

CAUTHRON
NIMBOXX

BARSOUM
IBM

GORDON
1Plug

LEWIS
Verizon

YEO
OrionVM

NAKAGAWA
Transparent Cloud Computing

SHIBATA
Transparent Cloud Computing

NATH
GE

GOKCEN
GE

STOICA
Databricks

TANKEL
Pivotal Software



Testimonials
This week I had the pleasure of delivering the opening keynote at Cloud Expo New York. It was amazing to be back in the great city of New York with thousands of cloud enthusiasts eager to learn about the next step on their journey to embracing a cloud-first worldl."
@SteveMar_Msft
General Manager of Window Azure
 
How does Cloud Expo do it every year? Another INCREDIBLE show - our heads are spinning - so fun and informative."
@SOASoftwareInc
 
Thank you @ThingsExpo for such a great event. All of the people we met over the past three days makes us confident IoT has a bright future."
Yasser Khan
CEO of @Cnnct2me
 
One of the best conferences we have attended in a while. Great job, Cloud Expo team! Keep it going."

@Peak_Ten


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@CloudExpo Blogs
In his session at 20th Cloud Expo, Scott Davis, CTO of Embotics, discussed how automation can provide the dynamic management required to cost-effectively deliver microservices and container solutions at scale. He also discussed how flexible automation is the key to effectively bridging and seamlessly coordinating both IT and developer needs for component orchestration across disparate clouds – an increasingly important requirement at today’s multi-cloud enterprise.
One of the core benefits of Java is the JVM, which is an out-of-the-box memory management. Essentially, we can create objects and the Java Garbage Collector will take care of allocating and freeing up memory for us. Nevertheless, memory leaks can still occur in Java applications. In this article, we're going to describe the most common memory leaks, understand their causes, and look at a few techniques to detect/avoid them. We're also going to use the Java YourKit profiler throughout the article, to analyze the state of our memory at runtime.
Any startup has to have a clear go –to-market strategy from the beginning. Similarly, any data science project has to have a go to production strategy from its first days, so it could go beyond proof-of-concept. Machine learning and artificial intelligence in production would result in hundreds of training pipelines and machine learning models that are continuously revised by teams of data scientists and seamlessly connected with web applications for tenants and users.
We get it. If your company isn’t up on blockchain, your future is doomed. At least, that’s the general vibe industry leaders are putting out – scrambling to understand and utilize a framework that is more frequently associated with cryptocurrencies like bitcoin. In other words, block chain is, generally, poorly understood. So, should your company stand back and let it mature, or wade into the fray and hope for the best?
How can an organization with decades worth of accumulated ERP customizations and configurations, IT systems and customized software applications digitally transform fast enough to keep up with the rapidly changing behaviors of digital customers? That is a hard question most organizations are wrestling with today. Often complex custom IT environments served a purpose in a past era, but today where IT speed and agility are required, they serve as anchors restraining an organization from moving forward and digitally transforming fast enough to compete.
We all probably remember the movie (“Jurassic Park”), even if we don’t remember this exact scene: Dr. Malcolm, played by Jeff Goldblum is explaining Chaos Theory to Dr. Ellie Sattler, played by Laura Dern. Dr. Malcolm is explaining how random, seemingly negligible events can disrupt even the most carefully laid out plans. Dr. Ian Malcolm: [after the T-Rex failed to appear for the tour group]. “You see a Tyrannosaur doesn’t follow a set pattern or park schedules, the essence of chaos.”
API Security has finally entered our security zeitgeist. OWASP Top 10 2017 - RC1 recognized API Security as a first class citizen by adding it as number 10, or A-10 on its list of web application vulnerabilities. We believe this is just the start. The attack surface area offered by API is orders or magnitude larger than any other attack surface area. Consider the fact the APIs expose cloud services, internal databases, application and even legacy mainframes over the internet. What could go wrong?
Digital technology innovations and advancements, and our adoption of them, have changed us. We are different consumers, employers and employees. Our expectations have increased. We have become mobile, impatient and demanding. We are global. We demand immediate, accurate and real-time responses. We use our technology not just for reading historic events and news, but also for predicting our future turn while navigating at 60 MPH.
I have had the opportunity to work for and around a good many start-ups during the course of my career. Often the start-up founders would simply define a problem, develop a solution and launch a company. The marketing department would then do their very best to identify the individuals in each target company that experienced the problem and had a budget to fix it. This was always a challenging task, that has become even harder today.
Fast-paced changes in the business landscape demand enterprises to rethink their existing business models and add innovative capabilities keeping in mind the new imperatives. One among them is the focus on Digital transformation. In the retail industry, growth is measured in terms of increased sales and value addition to existing products while keeping customer expectations in mind. This is where a digital focus is important to remain competitive.
Cloud computing and services platform company ServiceNow took part in the second annual San Francisco located Cloud Field Day #2 event this July 2017. Designed to be an open discussion forum for speakers and audience members to deconstruct and demystify the core mechanics of cloud, ServiceNow speakers were open and frank about the opportunities and challenges facing businesses who want to harness the power of cloud platform technologies in the context of new connected business models.
Deep learning has been very successful in social sciences and specially areas where there is a lot of data. Trading is another field that can be viewed as social science with a lot of data. With the advent of Deep Learning and Big Data technologies for efficient computation, we are finally able to use the same methods in investment management as we would in face recognition or in making chat-bots. In his session at 20th Cloud Expo, Gaurav Chakravorty, co-founder and Head of Strategy Development at qplum, discussed the transformational impact of Artificial Intelligence and Deep Learning in maki...
When shopping for a new data processing platform for IoT solutions, many development teams want to be able to test-drive options before making a choice. Yet when evaluating an IoT solution, it’s simply not feasible to do so at scale with physical devices. Building a sensor simulator is the next best choice; however, generating a realistic simulation at very high TPS with ease of configurability is a formidable challenge. When dealing with multiple application or transport protocols, you would be looking at some significant engineering investment. On-demand, serverless computing enables deve...
Web services have taken the development world by storm, especially in recent years as they've become more and more widely adopted. There are naturally many reasons for this, but first, let's understand what exactly a web service is. The World Wide Web Consortium (W3C) defines "web of services" as "message-based design frequently found on the Web and in enterprise software". Basically, a web service is a method of sending a message between two devices through a network. In practical terms, this translates to an application which outputs communication in a standardized format for other client a...
"At the keynote this morning we spoke about the value proposition of Nutanix, of having a DevOps culture and a mindset, and the business outcomes of achieving agility and scale, which everybody here is trying to accomplish," noted Mark Lavi, DevOps Solution Architect at Nutanix, in this SYS-CON.tv interview at @DevOpsSummit at 20th Cloud Expo, held June 6-8, 2017, at the Javits Center in New York City, NY.
We have already established the importance of APIs in today’s digital world (read about it here). With APIs playing such an important role in keeping us connected, it’s necessary to maintain the API’s performance as well as availability. There are multiple aspects to consider when monitoring APIs, from integration to performance issues, therefore a general monitoring strategy that only accounts for up-time is not ideal.
In 2016, artificial intelligence (AI) reached its climax. Research and advisory firm Tractica predicted that the annual worldwide AI revenue will grow from $643.7 million in 2016 to $38.8 billion by 2025. The revenue for enterprise AI applications will increase from $358 million in 2016 to $31.2 billion by 2025, representing a compound annual growth rate (CAGR) of 64.3%. Thus, IT and business decision makers must face up to the potentials of AI already today. For each kind of organization this leads to the question, which type of technologies or infrastructure they can leverage to operate an A...
I recently had the opportunity to give a 10-minute keynote at DataWorks Summit 2017. I know what most of you are thinking: Schmarzo can barely introduce himself in 10 minutes! What sort of keynote could he give in just 10 minutes? And to be honest, I too struggled with what to say. But after some brainstorming with my marketing experts (Jeff Abbott, Erin Banks, and Chris Hill), we came up with an idea: Pose 5 questions that every organization needs to consider as they prepare themselves for digital transformation. And while I didn’t have enough time in 10 minutes to answer those questions...
Because IoT devices are deployed in mission-critical environments more than ever before, it’s increasingly imperative they be truly smart. IoT sensors simply stockpiling data isn’t useful. IoT must be artificially and naturally intelligent in order to provide more value In his session at @ThingsExpo, John Crupi, Vice President and Engineering System Architect at Greenwave Systems, will discuss how IoT artificial intelligence (AI) can be carried out via edge analytics and machine learning technologies that enable things to process event data at the source, learn patterns of behavior over time...
FinTechs use the cloud to operate at the speed and scale of digital financial activity, but are often hindered by the complexity of managing security and compliance in the cloud. In his session at 20th Cloud Expo, Sesh Murthy, co-founder and CTO of Cloud Raxak, showed how proactive and automated cloud security enables FinTechs to leverage the cloud to achieve their business goals. Through business-driven cloud security, FinTechs can speed time-to-market, diminish risk and costs, maintain continuous compliance, and set themselves up for success.