TechHub: Industrial Market Growth, Advancement in Smart Cities & Homeland Security Urges Cyber

The Industrial Market Opportunity

Manufacturing and industrial companies are the backbone of the U.S. economy. With the advancement of the digital age, more factories and utilities are looking to cut costs, decrease downtime and streamline operations.

This industry’s operations are extremely different from IT enterprises and rely on partner companies that specialize in operational technology in order to connect and protect their assts.

GrayMatter was highlighted in CRN, a news analysis online publication for technology companies.

“We help customers in these markets connect their factories, connect their big expensive assets,” said James Gillespie, CEO of GrayMatter, in CRN. “Those are things we’ve been working on, to digitize the information, and to help customers get better results.”

Jim Gillespie, CEO of GrayMatter

The article explores various aspects from the operational issues companies face, to a continuously growing partnership with GE and the possibilities the Industrial Internet has for companies.

Part of that partnership is collaborative engineering on cutting-edge ideas like Brilliant Manufacturing by GE Digital, a suite of software enabling predictive analytics on a scalable intelligent system powered by the cloud-based operating system Predix.

“It’s enabling digital transformations at a scale that would have been harder to do in the past,” said Gillespie. “Predix is like the iOS of the operating systems and now there’s people coming together to write apps — there’s a whole group of people emerging in a community of developers and solution providers.”

Cloud technology is now in an advanced place where it’s becoming universally affordable, dependable and reachable. The community around the operating system is pushing the industry forward, and everybody needs to jump on board.

View all of the technology services GrayMatter has to offer:

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Homeland Security Urges Industrial Cybersecurity

The U.S. Department of Homeland Security Industrial Control Systems Cyber Emergency Response Team (ICS-CERT) issued an alert about a malicious BrickerBot permanent Denial-of-Service (DoS) attack.

BrickerBot exploits hard-coded passwords in Internet of Things (IoT) devices to cause a permanent denial of service, locking operators out of their systems.

The team encourages asset owners to know that their control systems are deployed securely and not exposed to threats through open internet connections by thoroughly auditing their networks.

Control systems often have devices accessible to the internet without operators knowing, leaving them at a greater risk for an attack. Completing a vulnerability assessment allows operators to know what devices are connected, how strong authentication methods are, vulnerable firewalls and use of unauthorized remote access.

To learn more about cyber security for the OT, download the GrayMatter cyber security guide for operational technology:

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The Advancement of Smart Cities

San Diego announced a new partnership with GE to deploy the world’s largest Internet of Things platform using smart streetlights. This will reduce energy costs by 60-percent and transform them into a single, connected digital network that can optimize parking and traffic, enhance public safety and track air quality.

Over 3,000 smart sensors will be deployed, with a potential to expand an additional 3,000 in the future, to upgrade over 14,000 city lights.

By reducing energy needs, greenhouse gas admissions will be reduced. Light pollution will also decrease with the implemented new technology enabling dimming and brightening features either automatically or remotely, depending on natural light conditions.

GE’s intelligent lighting in San Diego. Image: GE Lighting

The GE Current CityIQ sensor nodes will support a range of applications varying from gunshot detection, to smart parking and air quality control.

“This technology is powerful. Downtown visitors will be able to find parking easily and in real time using a smart phone, and the environmental and transportation data will help Downtown meet the goals of the Climate Action Plan. This is a huge win for San Diego,” said Kris Michell, the President & CEO of the Downtown San Diego Partnership.

Deployment of the platform will begin in July and is expected to be completed by the end of 2018.

It’s expected to save the city over $2.4 million annually in energy costs.

CIO Survey Reveals Challenges, Opportunities and Potential of Industrial Big Data

Guest post by Jeremiah Stone, GM of Asset Performance Management at GE Digital. 

Bit Stew Systems recently commissioned a survey by IDG Research of senior IT executives to better understand how organizations are being impacted by the Industrial Internet of Things (IIoT) – the steps being taken to prepare for it, the potential benefits the IIoT offers, and the challenges encountered along the way.

Jeremiah Stone, General Manager of Asset Performance Management, at GE Digital, shares his insights on how the research findings match up with his experience at GE.

Industrial companies are in the midst of an exciting and transformational digital journey. At the heart of this transformation is the power of real-time and predictive data analytics to unlock new sources of value. However, challenges of big data, unique to the Industrial world, and the threat of digital disruption and changing workforce dynamics are real.

In order to maximize the fast-moving technology wave of the Industrial Internet, companies need to think strategically about the foundational elements of their data architecture, starting with industrial data management.

Abundant Data by Itself Solves Nothing
Despite the promise of big data, industrial enterprises are struggling to maximize its value. Why? Abundant data by itself solves nothing. Its unstructured nature, sheer volume, and variety exceed human capacity and traditional tools to organize it efficiently and at a cost which supports return on investment requirements. Inherent challenges tied to evolution and integration of industrial information and operational technology, make it difficult to glean intelligence from operational data, compromising projects underway and promise for further investment and value.

Research Confirms Data Integration is Slowing IIoT Adoption
We have seen first-hand, how data integration has challenged IT and OT teams for decades. The advent of IIoT adoption is compounding the problem. The insights from the IDG survey match up well with our experience. Senior IT executives are echoing the sentiment that data integration is the #1 barrier inhibiting IIoT adoption in their organizations. 64% of senior IT executives surveyed said that integrating data from disparate sources/formats and extracting business value from that data is the single biggest challenge of big data. As we go forward, driving technology advances and best practices to integrate disparate data sets is critical.

Lack of Preparedness will Cost your Business
According to the survey, senior IT executives are saying the biggest risk of not having an IIoT strategy in place is losing valuable data insights which can significantly cost their business. 87% state the most concerning risks of not have a data management strategy is they will be overwhelmed by the volume and veracity of data being generated, and they will lose valuable business insights as a result. In addition, 33% say they are afraid that businesses that don’t adopt a data management strategy will become marginalized, obsolete or disappear.

Finding a Better Way: Maximizing Value from Machines and Enterprise Data
At GE, we are experiencing first-hand a better way—a better way to manage industrial big data that triggers insights. We are in the early stages of a long journey
of discovery and invention, taking a longer-term view to strategic data management and its technologies that translate to business advantage. Our businesses, customers, and partners are committing their business success by transforming to become data-driven businesses. At GE Digital, we are investing in our capabilities and the ecosystem to deliver the right solution to help them get there.

To extract meaning and value from industrial data, new systems are required to handle the challenges posed by the volume, velocity and variety of these data sets. Many industrial companies have already started their digital journeys towards Industrial Internet maturity. Technologies including automated integration and empirical data model management, machine learning and physics-based analytics, that we have been deploying for our customers, are
now seeing double-digit performance gains across the following sectors: power generation, oil and gas, transportation and mining.

Learn More About This Topic

IDG Research White Paper | Download the in-depth report here.

This blog post originally appeared on Bit Stew Systems’ blog page, Bit View. 

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