Global Industrial Maintenance Management Software Market 2022 by Vendors, Market Expansion …

Industrial Maintenance Management Software Market Top Vendors: – Bosch, C3 IoT, CyberMetrics, eMaint, IBM, SAP, and many more. Geographical …

Industrial Maintenance Management Software Market in

Industrial Maintenance Management SoftwareMarket report provides growth of the industry by type segment & market application, key vendors, market dynamics, regions, upstream & downstream, industry overview, development status and more. Global Industrial Maintenance Management Software Market is likely to raise at a steady rate and will post CAGR (compound annual growth rate) of XX% during 2018-2022.

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Industrial Maintenance Management Software Market by Dynamics:

Market Driver

•Increase in the adoption of IoT devices

•For a full, detailed list, view our report

Market Challenge

•Lack of technological knowledge

•For a full, detailed list, view our report

Market Trend

•Dependence on mobile technology

•For a full, detailed list, view our report

Industrial Maintenance Management Software Market Top Vendors: – Bosch, C3 IoT, CyberMetrics, eMaint, IBM, SAP, and many more.

Geographical Regions: –APAC, Europe, North America, ROW

Browse Detailed TOC, Tables, Figures, Charts And Companies Mentioned In Industrial Maintenance Management Software Market Research Report At:

Key Questions Answered in Industrial Maintenance Management Software Market:

  • What will the market growth rate of market in 2022?
  • What are the key factors driving the global market?
  • Who are the key manufacturers in market space?
  • What are the market opportunities, market risk and market overview of the Industrial Maintenance Management Software market?
  • What are sales, revenue, and price analysis of top manufacturers of market?
  • Who are the distributors, traders and dealers of market?
  • What are the market opportunities and threats faced by the vendors in the global Industrial Maintenance Management Software market?
  • What are sales, revenue, and price analysis by types and applications of market?
  • What are sales, revenue, and price analysis by regions of Industrial Maintenance Management Software market?

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Price of Industrial Maintenance Management Software Market Report (Single User License): $3500

List of Exhibits in Industrial Maintenance Management Software Market Report:

  • Exhibit 01: Product offerings
  • Exhibit 02: Impact of drivers
  • Exhibit 03: Impact of drivers and challenges
  • Exhibit 04: Key countries in each region
  • Exhibit 05: Market shares by geographies 2017
  • Exhibit 06: Industrial Maintenance Management Software Market shares by geographies 2022
  • Exhibit 07: Geographical Segmentation by revenue 2017

And Continued…

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Smart Farming Through The Internet Of Things

As technologies like the Internet of Things transform business and farming … Franklin: The survey looked at emerging technologies like Artificial …

A farmer cultivating using a tablet Courtesy of Getty Royalty FreeGetty

The so-called “smart agriculture” market is projected to reach $13.5 billion by 2023. As technologies like the Internet of Things transform business and farming operations from the U.S. to East Africa and India, there is enormous opportunity to improve the quality and sustainability of our food – not just the volume of yield. I spoke with Tony Franklin, general manager for the Internet of Things at Intel Corporation, about the trends and examples he sees in this space.

Lorin Fries: How does Intel address food systems through its Internet of Things (IoT) portfolio?

Tony Franklin: We try to identify how our technologies can be applied to solve problems for target markets and customers. We focus primarily on high-performance computer technologies, as well as communication technologies, which have great applicability for food systems. We work closely with a broad ecosystem of partners to enable more data collection about the environment, to analyze that data, and to improve our ability to make decisions that improve operations, including on farms.

Fries: Could you give examples?

Franklin: Take an autonomous tractor. With it, you can measure everything. You’re passing over a particular space and you can identify certain plants from other plants, like weeds, and then you can take action based on that. You can choose to spray in a certain area, not in another area, and you can do all of that at what we call the “edge.” Another example is the monitoring of farm land. You can put instruments on the land to understand soil moisture conditions, air conditions, the amount of sunlight, wind, and other factors, using that information to inform water use on your particular property.

Tony Franklin, General Manager, Internet of Things, Intel CorporationTony Franklin

Fries: What’s an exciting trend you see where the IoT meets food and the environment?

Franklin: Computer vision. I’ve been talking to several startups in this space, and I’ve been impressed by the amount of companies looking to leverage this technology and the data that can be acquired through it. Using that data, we’ve seen applications using high-performance processing, which you need to make decisions at the edge rather than someone physically examining every product. Computer vision can look at the quality of the produce that that you’re growing, such as by looking for contaminants. The opportunity space is a perfect storm: increasing performance capabilities and cloud computing capabilities, decreasing cost of storage, and ubiquitous communication tools.

Fries: What barriers do you see to using IoT more broadly?

Franklin: Security and privacy. We’ve made it a priority to implement security down at the silicon level, at the lowest level of the platform architecture, to try to address these concerns. And this space is not something that that one company can address by itself. There have to be partnerships to address the various use cases. We have leveraged our Internet of Things Solutions Alliance to enable a broader ecosystem of companies: we have over 6,000 solutions across many IoT industries, delivered by about 500 partners.

Fries: The IoT is extraordinarily powerful, but it’s not available those on the other side of the digital divide. Do we risk excluding smallholder farmers, further accentuating access disparities?

Franklin: There’s no question that one size does not fit all. Over ten years ago we formed a partnership with the Grameen Foundation called Technology for Social Impact. Agriculture is one of the focus areas, including targeting the smallholder farmer. Some of the technologies that are being developed and applied for large farms will have to be modified, and their applicability assessed, for smallholders. But if we realize that there are 500 million smallholders around the world, that’s a community that cannot be ignored.

As a related effort, we’ve focused on using low-power wireless technologies to help with water conservation on farms. This can allow for lower-cost solutions to aggregate more information about the environment and to help to reduce the resources needed for growing food. That is an area where the IoT can deliver value both for large and smallholder farmers.

Fries: Your team recently conducted a survey about technologies that could address food and ecological challenges. What insights did it offer?

Franklin: The survey looked at emerging technologies like Artificial Intelligence, the IoT and 5G, and how those can be applied to sustainability challenges. There’s an incredible amount of untapped potential for emerging technologies to solve long-standing environmental challenges. With less than half of respondents saying that they don’t know about or are not using emerging tech, it’s clear we need to better educate others about the long-term savings and benefits, so they can overcome immediate barriers. While the results are encouraging, our collective focus will need to be on action – building widespread adoption through collaboration and innovation – in order to drive true transformation.

This interview is part of a series on how technology and innovation are transforming food and ecological systems – and how to get it right for people and planet. The conversation has been edited for clarity and length.

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AI, cross-industry collaboration will continue to reshape healthcare in 2019, Optum says

At HIMSS19, cross-industry collaboration and adoption of emerging technologies are two health IT trends that will be the focus of Optum, a health IT …

At HIMSS19, cross-industry collaboration and adoption of emerging technologies are two health IT trends that will be the focus of Optum, a health IT vendor whose products include analytics, population health and pharmacy care.

Health systems and physician practices have a long history of information-sharing to support population health goals and improve the patient experience, said Mark Morsh, vice president of technology at Optum, and that trend will only accelerate in 2019.

Practical results of emerging tech

“In the past year, we have seen a concerted effort to convene stakeholders on emerging technology capabilities like blockchain and AI/advanced analytics, which can improve the effectiveness and efficiency of care,” said Morsh.

“This year, our presence at HIMSS shows how emerging technology can have practical results, taking a closer look at personalized medicine, AI and machine learning, and IoT, and how these advancements can improve financial performance and population health, enable risk-based reimbursement programs, and modernize the military and veterans’ health systems,” he added.

Those might appear to be lofty goals, but technology has improved how stakeholders in healthcare safeguard, interpret and share a trove of healthcare data. The industry often focuses on the power of technology, he said, but it’s really about clinicians’ ability to apply it in ways that allow them to practice at the top of their license.

A standout 2019 health IT trend for Morsh is the fast pace at which healthcare organizations are adopting emerging technologies, such as artificial intelligence and advanced analytics.

“We recently surveyed 500 healthcare executives, and three out of four indicated they’re in the process of, or are going to, implement an AI strategy,” he said. “More than 91 percent of respondents also expressed confidence that their organization will see a full return on investment in about five years. We have not seen that kind of momentum since the wave of electronic health record adoption earlier this decade.”

The proliferation of data, including social determinants paired with more traditional claims and clinical data, and the ability to mine that information with new tools, is yielding new insights about cost, quality and access, and opportunities to improve, he added.

“What I’m most excited about is the way this can move us closer to a denial-free future where care is personalized and where we can redeploy resources to improve the experience of patients and families,” he said.

Let technology do it

Morsh believes people in general have reached a point in time where humans are more comfortable allowing technology to augment their day-to-day experience and enhance their decision making.

“Although there are some generational differences, think of how quickly healthcare organizations have moved to adopt devices like tablets and smartphones,” he noted. “The reality now is that technology is central to the care delivery experience for providers and patients and the proliferation of devices, data and connectivity is changing how individuals work and receive care.”

“To be successful in a business setting, investments in advanced analytics and AI must have a defined objective and align with your overall technology strategy.”

Mark Morsh, Optum

On a related front, healthcare faces a talent shortage, especially when it comes to data science, he said.

“It’s difficult for health systems and physician practices that are worried about margins and changing reimbursement to compete for talent in an increasingly competitive and expensive global marketplace,” Morsh explained. “That’s one reason we are seeing a renewed emphasis on industry collaboratives and vendor partnerships to solve large-scale technology strategy and delivery needs.”

It’s also a reason that organizations are looking for practical applications of data and analytics – to make them more efficient and increase overall performance, he said.

Advice for HIMSS19 attendees

Asked what he would advise HIMSS19 attendees, Morsh stuck with his big theme: collaboration and AI.

“Collaborate for a shared vision: Healthcare is a very specialized industry and evidence-based decision making is at the core of our DNA,” he said. “For that reason, it’s really important to build the right team of multidisciplinary professionals. Sometimes you’ll be able to find the right skill set within your organization, but more often than not, success requires bringing in individuals from the outside, who can share a fresh perspective and keep you current with market movements.”

That said, Morsh recommends that healthcare organizations make sure the organizations they partner with have enough grounding in healthcare to understand their business models and operating environment so they don’t end up with technology investments that have little practical value.

“And focus on AI with ROI,” he added. “To be successful in a business setting, investments in advanced analytics and AI must have a defined objective and align with your overall technology strategy. One of the most interesting developments in healthcare is that more applied uses of artificial intelligence, like natural language processing for revenue cycle management or deep learning models that support disease prediction.”

These use-cases must be backed by a business case and defined problem where technology can augment the human – patient, provider or administrator – experience, he said.

Twitter: @SiwickiHealthIT

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HIMSS19 Preview

An inside look at the innovation, education, technology, networking and key events at the HIMSS19 global conference in Orlando.

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There is enough appetite for innovation: Craig Stires of Amazon Web Services

Big Data, Internet of Things (IoT), Artificial Intelligence (AI) or Machine … Head of Analytics, AI, Big Data at Amazon Web Services, Asia Pacific, tells …
big data, appetite for innovation, Artificial Intelligence, machine learningbig data, appetite for innovation, Artificial Intelligence, machine learningCraig Stires, Head of Analytics, AI & Big Data, Amazon Web Services (Asia Pacific)

Big Data, Internet of Things (IoT), Artificial Intelligence (AI) or Machine Learning (ML) are buzzwords in tech circles these days, but are CIOs in sync with these technologies? Especially in emerging economies such as India? “We see CIOs wanting to make investments that are going to fundamentally change the direction of their companies. Whether you hear Big Data, IoT, or AI/ML, there is some really interesting technology behind these and there are some really interesting methodologies that have come to the forefront,” Craig Stires, Head of Analytics, AI, Big Data at Amazon Web Services, Asia Pacific, tells Sudhir Chowdhary in an interview. Excerpts:

Are investments really happening in some of these niche technologies?

CIOs, today, aren’t just investing in Big Data to understand its underlying potential. They believe that connected devices have something really interesting in helping them listen to their customers’ needs. Previously, they may have had to spend extensively to get started on a project. With AWS, instead of having to lay out millions of dollars just to get started, they can simply pull in a month of connected device data on demand, test and see if they are on the right track and do something that’s fundamentally right for their business. The reality is that the information and the technical processes that are available to CIOs today may not have been available five years ago.

What is your vision for helping businesses on their digital transformation journey?

One of the things that we really encourage is that each customer’s starting point should be different. There is a methodology that we use at Amazon when we innovate. It’s called the ‘working backwards from the customer’ approach. Everything we do starts with our customers and works backwards from there. Roughly 90-95% of our road map is driven by what our customers tell us. We start with the specific customer outcome, working backwards to a minimal technology implementation to start with and then, only scaling it if it is delivering results. We are trying to build relationships with our customers that outlast us all.

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How is the data analytics market turning up in emerging markets such as India?

If we segment the Indian market based on domestic opportunities, and the ability to serve international markets, there are two different speeds that are running within India. On the domestic opportunities front, there is a vast amount of information that people are creating and there is an opportunity to provide personalised experiences for customers, where earlier, there might not have been enough information about each customer.

If you look at what is doing in this space now—it is able to provide personalised match-making services, driven from the ability to observe not just the behaviours on the website but also looking at some larger group dynamics. Then, there are companies that service the global markets, like Punchh which competes with all the big players, using the most advanced machine learning algorithms and the most advanced fully-managed Hadoop services and Data Warehousing. Therefore, I believe that data analytics is relevant for the companies that are operating in the domestic market as well as for the Indian companies that are servicing global markets.

To what extent do you think businesses are adopting Big Data or IoT?

What tends to happen when enterprises adopt an emerging technology or methodology like Machine Learning, Big Data or IoT, is that there is going to be one part of the organisation that does really well. Let’s take the telcos, for example. They have been struggling to fully adopt these new technologies because sometimes, they look at it as trying to solve a million-dollar problem when they should be thinking about billion-dollar problems. So, these innovation projects have had a hard time flourishing in the industry. However, we are seeing faster adoption even though large organisations have traditionally not been able to implement these too quickly.

There is enough appetite for innovation. The digitally native or emerging enterprise customers tend to adopt the new technologies, faster.

Where is the demand for data analytics coming from?

I cannot find an industry that doesn’t have the appetite for it. For instance, retail organisations are completely driven by purchase behaviour, so they move faster. Banks have only been waiting on regulations to be updated. Now that more and more regulatory agencies are saying that they understand how to move safely to the cloud, banks have also started to move, quickly.

If you look at the National Australia Bank (NAB), they have built four Cloud Guilds so they don’t just have a few people who are building, they are now enabling the whole workforce to think and build. The adoption is even expanding across other industries, like the construction industry, which has always been manually driven. They have all realised that in order to evolve they have to start adopting new technologies. So we see adoption across all industries, especially the ones that are consumer driven.

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SparkCognition and Global HITSS offer artificial intelligence solutions to advance digital …

Global HITSS, a company dedicated to driving a digital society, and SparkCognition, a global company specializing in artificial intelligence solutions, …

Global HITSS is working to drive digital transformation in 25 countries throughout the Americas and Europe. Enabled by SparkCognition technology, it is adding artificial intelligence solutions to its portfolio, assisting sectors such as manufacturing, healthcare, financial services, retail, transportation, logistics, hospitality, energy, and natural resources.

With these solutions, companies will be able to make better use of data to improve their daily operations, from being more energy-efficient to reducing time and costs of predictive maintenance in plants, as well as overhauling robotic operations processes in production lines.

Likewise, the use of artificial intelligence allows for security parameters that prevent multi-sector threats in handling and delivering important documents.

“Global HITSS understands artificial intelligence’s significant potential, as well as the great impact it will have in various areas, not only in the corporate world, but also in society in general. This represents the essential part of our mission to develop a digital society,” said Felipe Labbé, CEO of Global HITSS. “We collaborate with artificial intelligence experts, like SparkCognition, to improve our services to the market and provide our clients with the technology that allows them to succeed in the digital world.”

“SparkCognition is a company dedicated to building artificial intelligence systems to advance the most important interests of society. Our technologies enable organizations to adapt to the world’s evolving digital landscape and accelerate critical business operations with artificial intelligence,” said Usman Shuja, Chief Commercial Officer (CCO) at SparkCognition. “Together, SparkCognition and Global HITSS will further enable artificial intelligence to solve society’s most pressing issues.”

About Global HITSS:

Global HITSS is an affiliate of América Móvil, which offers IT and digital solutions services with 30 years’ experience in the Latin American market. Today, it operates in 25 countries, including the United States and Europe.

According to the magazine Expansión, Global HITSS is one of the 500 most important companies in Mexico.

Together with Claro, Embratel, Telcel, Telekom Austria, and Telmex, subsidiaries of Grupo América Móvil JSCVC. (BMV: AMX,NYSE: AMX,Nasdaq: AMOV, LATIBEX: XAMXL), Global HITSS is contributing to digital society development.

Learn more about Global HITSS’ services, solutions, and how we can accompany your company on its digital journey at

About SparkCognition:

With award-winning machine learning technology, a multinational footprint, and expert teams focused on defense, IIoT, and finance, SparkCognition builds artificial intelligence systems to advance the most important interests of society. Our customers are trusted with protecting and advancing lives, infrastructure, and financial systems across the globe. They turn to SparkCognition to help them analyze complex data, empower decision making, and transform human and industrial productivity. With our leading-edge artificial intelligence platforms, our clients can adapt to a rapidly changing digital landscape and accelerate their business strategies. Learn more about SparkCognition’s AI applications and why we’ve been featured inCNBC’s 2017 Disruptor 50, and recognized two years in a row on CB Insights AI 100, by visiting

For Media Inquiries:

John King


+1 512-956-5491

SOURCE SparkCognition

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