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Killexams : IBM Transportation learn - BingNews Search results Killexams : IBM Transportation learn - BingNews Killexams : Apple and IBM Unveil First Part of Relationship -- What It Looks Like No result found, try new keyword!Apple and IBM unveil the first benefits of their working ... "The retention app for insurance might be used for learning what your best sellers do," she said. "The customization of these apps ... Thu, 04 Aug 2022 12:00:00 -0500 en-us text/html Killexams : Machine Learning Artificial intelligence Market Size from 2022 to 2028

The MarketWatch News Department was not involved in the creation of this content.

Jul 26, 2022 (Reportmines via Comtex) -- Pre and Post Covid is covered and Report Customization is available.

The "Machine Learning Artificial intelligenceMarket research report" profile investigates the company's business structure, operations, important products and services, prospects, locations and subsidiaries, key executives' biographies, and key rivals 2022 to 2028. The revenue trends, profitability, growth, margins and returns, liquidity and leverage, financial condition, and efficiency ratios are all included in this Machine Learning Artificial intelligence Market study. For this study on the Machine Learning Artificial intelligence market, the researchers used modern primary and secondary research approaches and technologies.Here is a list of the best key players Listed in the Machine Learning Artificial intelligence Market report is AIBrain,Amazon,Anki,CloudMinds,Deepmind,Google,Facebook,IBM,Iris AI,Apple,Luminoso,Qualcomm.

The global Machine Learning Artificial intelligence market size is projected to reach multi million by 2028, in comparision to 2021, at unexpected CAGR during 2022-2028 (Ask for demo Report).

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The assembly, revenue, price, market share, and rate of growth of each type are displayed in the Machine Learning Artificial intelligence market industry research report, which is divided into Deep Learning,Natural Language Processing,Machine Vision,Others. The status and outlook for main applications/end users, consumption (sales), market share, and rate of growth for each application, including Automotive & Transportation,Agriculture,Manufacturing,Others, are all included in this Machine Learning Artificial intelligence market research report. North America: United States, Canada, Europe: GermanyFrance, U.K., Italy, Russia,Asia-Pacific: China, Japan, South, India, Australia, China, Indonesia, Thailand, Malaysia, Latin America:Mexico, Brazil, Argentina, Colombia, Middle East & Africa:Turkey, Saudi, Arabia, UAE, Korea is a list of regions covered in the Machine Learning Artificial intelligence Market Report. The report has a page count of 129.

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The top competitors in the Machine Learning Artificial intelligence Market, as highlighted in the report, are:

  • AIBrain
  • Amazon
  • Anki
  • CloudMinds
  • Deepmind
  • Google
  • Facebook
  • IBM
  • Iris AI
  • Apple
  • Luminoso
  • Qualcomm

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Market Segmentation

The worldwide Machine Learning Artificial intelligence Market is categorized on Component, Deployment, Application, and Region.

The Machine Learning Artificial intelligence Market Analysis by types is segmented into:

  • Deep Learning
  • Natural Language Processing
  • Machine Vision
  • Others

The Machine Learning Artificial intelligence Market Industry Research by Application is segmented into:

  • Automotive & Transportation
  • Agriculture
  • Manufacturing
  • Others

In terms of Region, the Machine Learning Artificial intelligence Market Players available by Region are:

  • North America:
  • Europe:
    • Germany
    • France
    • U.K.
    • Italy
    • Russia
  • Asia-Pacific:
    • China
    • Japan
    • South Korea
    • India
    • Australia
    • China Taiwan
    • Indonesia
    • Thailand
    • Malaysia
  • Latin America:
    • Mexico
    • Brazil
    • Argentina Korea
    • Colombia
  • Middle East & Africa:
    • Turkey
    • Saudi
    • Arabia
    • UAE
    • Korea

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Players, stakeholders, and other stakeholders in the Machine Learning Artificial intelligence market industry research will be able to gain an advantage by utilizing the Machine Learning Artificial intelligence market research report as a resource. The global Machine Learning Artificial intelligence market research report's value chain analysis, sales breakdown, and competitive situation are combined with regional-level forecasts.

The Machine Learning Artificial intelligence market research report contains the following TOC:

  • Report Overview
  • Global Growth Trends
  • Competition Landscape by Key Players
  • Data by Type
  • Data by Application
  • North America Market Analysis
  • Europe Market Analysis
  • Asia-Pacific Market Analysis
  • Latin America Market Analysis
  • Middle East & Africa Market Analysis
  • Key Players Profiles Market Analysis
  • Analysts Viewpoints/Conclusions
  • Appendix

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Highlights of The Machine Learning Artificial intelligence Market Report

The Machine Learning Artificial intelligence Market Industry Research Report contains:

  • International and domestic market segmentation
  • Major changes in the Machine Learning Artificial intelligence market research structure
  • Regional and country-level competitive analysis
  • The Machine Learning Artificial intelligence market share, size, and growth comprehension analysis
  • The most common growth strategies employed by business owners

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COVID 19 Impact Analysis:

The Machine Learning Artificial intelligence market industry trend segmentation is based on various characteristics such as kinds, applications, and regions. In addition, the Machine Learning Artificial intelligence market research report evaluates the impact of the new COVID-19 pandemic on the Machine Learning Artificial intelligence market research and provides a unique assessment of the predicted market changes during the forecasted time frame. Machine Learning Artificial intelligence Market Share, Stock Determinations and Figures, contact information, Sales, Capacity, Production, Price, Cost, Revenue, and Business Profiles are all encased within the Machine Learning Artificial intelligence market report. Over the forecast period, the Machine Learning Artificial intelligence market research report comprises market segmentation, competitive analysis, and regional study.

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Machine Learning Artificial intelligence Market Size and Industry Challenges:

The Machine Learning Artificial intelligence market research report includes Company Profile, Product Specifications, Revenue, Price, and Gross Margin Sales, as well as a comprehensive analysis of the market competitive landscape and detailed information on vendors, as well as comprehensive details of factors that will challenge the growth of major market vendors.

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Mon, 25 Jul 2022 18:00:00 -0500 en-US text/html
Killexams : Emulating The IBM PC On An ESP32

The IBM PC spawned the basic architecture that grew into the dominant Wintel platform we know today. Once heavy, cumbersome and power thirsty, it’s a machine that you can now emulate on a single board with a cheap commodity microcontroller. That’s thanks to work from [Fabrizio Di Vittorio], who has shared a how-to on Youtube. 

The full playlist is quite something to watch, showing off a huge number of old-school PC applications and games running on the platform. There’s QBASIC, FreeDOS, Windows 3.0, and yes, of course, Flight Simulator. The latter game was actually considered somewhat of a de facto standard for PC compatibility in the 1980s, so the fact that the ESP32 can run it with [Fabrizio’s] code suggests he’s done well.

It’s amazingly complete, with the ESP32 handling everything from audio and video to sound output and keyboard and mouse inputs. It’s a testament to the capability of modern microcontrollers that this is such a simple feat in 2021.

We’ve seen the ESP32 emulate 8-bit gaming systems before, too. If you remember [Fabrizio’s] name, it’s probably from his excellent FabGL library. Videos after the break.

Fri, 05 Aug 2022 12:00:00 -0500 Lewin Day en-US text/html
Killexams : How one research center is driving AI innovation for academics and enterprise partners alike

A new research center for artificial intelligence and machine learning has sprung up at the University of Oregon, thanks to a collaboration between IBM and the Oregon Advanced Computing Institute for Science and Society. The Oregon Center for Enterprise AI eXchange (CE-AIX) leverages the university's high-performance computing technology and enterprise servers from IBM to create new training opportunities and collaborations with industry.

"The new lab facility will be a valuable resource for worldwide universities and enterprise companies wanting to take advantage of IBM Enterprise Servers POWER9 and POWER10 combined with IBM Spectrum storage, along with AIX and RHEL with OpenShift," said Ganesan Narayanasamy, IBM's leader for academic and research worldwide.

Narayanasamy said the new center extends state-of-the-art facilities and other Silicon Valley-style services to researchers, system developers, and other users looking to take advantage of open-source high-performance computing resources.  The center has already helped thousands of students gain exposure and practice with its high-performance computing training, and it is expected to serve as a global hub that will help prepare the next generation of computer scientists, according to the center's director Sameer Shende.

"We aim to expand the skillset of researchers and students in the area of commercial application of artificial intelligence and machine learning, as well as high-performance computing technologies," Shende said.

Thanks to a long-term loan agreement with IBM, the center has access to powerful enterprise servers and other capabilities. It was envisioned to bring together data scientists from businesses in different domains, such as financial services, manufacturing, and transportation, along with IBM research and development engineers, IBM partner data scientists, and university students and researchers.

The new center also has the potential to be leveraged by everyone from global transportation companies seeking to design more efficient trucking routes to clean energy firms looking to design better wind turbines based on models of airflow patterns. At the University of Oregon, there are potential applications in data science, machine learning, environmental hazards monitoring, and other emerging areas of research and innovation.

"Enterprise AI is a team sport," said Raj Krishnamurthy, an IBM chief architect for enterprise AI and co-director of the new center. "As businesses continue to operationalize AI in mission-critical systems, the use cases and methodologies developed from collaboration in this center will further promote the adoption of trusted AI techniques in the enterprise."

Ultimately, the center will contribute to the University of Oregon's overall research excellence, said AR Razdan, who serves as the university's vice president for research and innovation.

"The center marks another great step forward in [the university's] ongoing efforts to bring together interdisciplinary teams of researchers and innovators," Razdan said.

This post was created by IBM with Insider Studios.

Sun, 24 Jul 2022 12:00:00 -0500 en-US text/html
Killexams : LafargeHolcim, IBM Partner to Reduce Road Project Costs, Carbon Emissions

Bennett Oghifo

LafargeHolcim has said it would work with IBM Services to further develop the first digital platform for road design optimisation, ORIS, a solution that could reduce road project costs by up to one-third and carbon emissions by up to half while tripling road durability and usage lifespans.

This is contained in a statement by LafargeHolcim, which said ORIS allows decision-makers, road infrastructure authorities and project investors to Excellerate road construction and sustainability and reduce inefficiencies through smart project design. This is especially timely as governments design stimulus packages to revive economic activity post COVID-19 while also responding to the impact of climate change.

Records show that an average of 700,000 kilometres (435,000 miles) of new roads are being built globally every year. Improving road quality and resilience will help reduce the massive amount of carbon emissions attributed to transportation. Because roads vary depending on location, climate, vehicle types and traffic volumes, it is a complex challenge to define the most sustainable and cost-effective mix of building materials and technologies early in the design phase. ORIS assesses road pavement designs from different perspectives and recommends efficient construction and maintenance patterns with local materials availability and capabilities. ORIS is supporting public policies that conserve natural resources, enabling a more local and circular economy in road construction.

“We are accelerating the digitalisation of our solutions for sustainable and high-performance construction,” said Marcel Cobuz, Region Head of Europe, Member of the Executive Committee with responsibility for innovation at LafargeHolcim on a global level. “With global solutions like ORIS, we are committed to leading the way in low-carbon and circular construction as well as responsible natural resource consumption for roads and beyond. We have already entered into pilots with different partners such as road authorities, international financing institutions and engineering firms to use ORIS in both developed and emerging markets.”

LafargeHolcim will leverage IBM’s portfolio of digital platforms, hybrid clouds, digital design services, as well as IBM’s expertise in machine learning, artificial intelligence, industrial Internet-of-Things and data analytics to enhance even further its materials knowledge in cement and ready-mix concrete products, as well as its solutions and products, including precast concrete, asphalt, mortar and building solutions.

“Data-driven solutions and digital technologies have the potential to transform road construction towards more sustainable, circular, low-carbon, low-resource and cost-efficient techniques. ORIS is instrumental in recommending appropriate and tailored approaches to road-building, thus minimising costs, environmental impacts and project delays,” says Hervé Rolland, Vice President, Industrial solutions, IBM Europe. “IBM Services help businesses establish the right industry-relevant platforms that support rapid digitisation, standardisation and simplification, as well as vertically integrating both industrial and business operations.”

Thu, 04 Aug 2022 12:00:00 -0500 en-US text/html
Killexams : IBM report shows healthcare has a growing cybersecurity gap

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While enterprises are setting records in cybersecurity spending, the cost and severity of breaches continue to soar. IBM’s latest data breach report provides insights into why there’s a growing disconnect between enterprise spending on cybersecurity and record costs for data breaches. 

This year, 2022, is on pace to be a record-breaking year for enterprise breaches globally, with the average cost of a data breach reaching $4.35 million. That’s 12.7% higher than the average cost of a data breach in 2020, which was $3.86 million. It also found a record 83% of enterprises reporting more than one breach and that the average time to identify a breach is 277 days. As a result, enterprises need to look at their cybersecurity tech stacks to see where the gaps are and what can be improved.  

Enhanced security around privileged access credentials and identity management is an excellent first place to start. More enterprises need to define identities as their new security perimeter. IBM’s study found that 19% of all breaches begin with compromised privileged credentials. Breaches caused by compromised credentials lasted an average of 327 days. Privileged access credentials are also bestsellers on the Dark Web, with high demand for access to financial services’ IT infrastructure.  

The study also shows how dependent enterprises remain on implicit trust across their security and broader IT infrastructure tech stacks. The gaps in cloud security, identity and access management (IAM) and privileged access management (PAM) allow expensive breaches to happen. Seventy-nine percent of critical infrastructure organizations didn’t deploy a zero-trust architecture, when zero trust can reduce average breach losses by nearly $1 million. 

Enterprises need to treat implicit trust as the unlocked back door that allows cybercriminals access to their systems, credentials and most valuable confidential data to reduce the incidence of breaches. 

What enterprises can learn from IBM’s data on healthcare breaches 

The report quantifies how wide healthcare’s cybersecurity gap is growing. IBM’s report estimates the average cost of a healthcare data breach is now $10.1 million, a record and nearly $1 million over last year’s $9.23 million. Healthcare has had the highest average breach cost for twelve consecutive years, increasing 41.6% since 2020. 

The findings suggest that the skyrocketing cost of breaches adds inflationary fuel to the fire, as runaway prices are financially squeezing global consumers and companies. Sixty percent of organizations participating in IBM’s study say, they raised their product and service prices due to the breach, as supply chain disruptions, the war in Ukraine and tepid demand for products continue. Consumers are already struggling to meet healthcare costs, which will likely increase by 6.5% next year

The study also found that nearly 30% of breach costs are incurred 12 to 24 months after, translating into permanent price increases for consumers. 

“It is clear that cyberattacks are evolving into market stressors that are triggering chain reactions, [and] we see that these breaches are contributing to those inflationary pressures,” says John Hendley, head of strategy for IBM Security’s X-Force research team.  

Getting quick wins in encryption

For healthcare providers with limited cybersecurity budgets, prioritizing these three areas can reduce the cost of a breach while making progress toward zero-trust initiatives. Getting identity access management (IAM) right is core to a practical zero-trust framework, one that can quickly adapt and protect human and machine identities are essential. IBM’s study found that of the zero-trust components measured in the study, IAM is the most effective in reducing breach costs. Leading IAM includes Akamai, Fortinet, Ericom, Ivanti, Palo Alto Networks and others. Ericom’s ZTEdge platform is noteworthy for its combining ML-enabled identity and access management, zero-trust network access (ZTNA), microsegmentation and secure web gateway (SWG) with remote browser isolation (RBI) and Web Application Isolation.

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Mon, 01 Aug 2022 09:21:00 -0500 Louis Columbus en-US text/html
Killexams : Wired And IBM Explain Quantum Computing To Students From Grade School To Grad School

Have you ever heard the old axiom that if you want to design a simple system, ask yourself if your grandmother could use it? Maybe that was on Wired’s mind because they asked a quantum computing expert — particularly IBM’s [Dr. Talia Gershon] — to explain what exactly quantum computing is at 5 levels. In the video they shot, which you can see below, [Dr. Gershon] talks to a younger child, a teenager, an undergraduate computer science student, a graduate student, and then a physicist.

We enjoyed some of the analogies of spinning pennies and the way she was able to bring the course to an appropriate level for each of the participants. Truthfully, the final segment with the physicist ([Dr. Steven Girvin] was more of a conversation than an explanation, but it was interesting to hear his views on fault tolerance and how likely certain things were to occur in the near future.

If you understand spin, superposition, and entanglement, you might not get a lot out of this video. However, we find putting things in basic terms — or in this case, hearing someone else do it — sometimes gives you a new insight. It would also be really helpful to watch if you plan to try to explain quantum computing to students.

There are a few comments about how quantum computers work that would have been better stated as “how IBM quantum computers work” but we can overlook that. But there are several competing architectures out there.

IBM has made a few smaller quantum machines available on the Web and we talked about how to use them and some simulators in a series last year. The simulators can be more fun because they are much more capable than the real things available today. However, there’s something visceral about working on real hardware, even if it is in the cloud.

Sat, 06 Aug 2022 11:59:00 -0500 Al Williams en-US text/html
Killexams : Average cost of data breaches hits record high of $4.35 million: IBM

The global average cost of data breaches reached an all-time high of $4.35 million in 2022 compared with $4.24 million in 2021, according to a new IBM Security report. About 60% of the breached organizations raised product and services prices due to the breaches.

The annual report, conducted by Ponemon Institute and analyzed and sponsored by IBM Security, is based on the analysis of real-world data breaches experienced by 550 organizations globally between March 2021 and March 2022. 

According to the report, about 83% of the organizations have experienced more than one breach in their lifetime, with nearly half of the costs reported to be incurred more than a year after the breach.

Cloud and critical infrastructure remain at high risk

The report revealed that ransomware and destructive attacks represented 28% of breaches among critical infrastructure organizations studied, indicating threat actors specifically targeting the sector for disrupting global supply chain. The critical infrastructure sector includes financial services, industrial, transportation, and healthcare companies.

The report also noted that in the US, even a year after the Biden administration issued a cybersecurity executive order mandating federal agencies to adopt a zero-trust security model, only 21% of critical infrastructure organizations surveyed have done so, raising costs by $1.17 million for those who did not. Seventeen percent of the critical infrastructure breaches were caused due to a business partner being initially compromised.

Cloud computing infrastructure is an even easier target because of the security immaturity it suffers, according to the report. “Forty-three percent of studied organizations are in the early stages or have not started applying security practices across their cloud environments, observing over $660,000 on average in higher breach costs than studied organizations with mature security across their cloud environments,” it added.

Copyright © 2022 IDG Communications, Inc.

Thu, 04 Aug 2022 03:42:00 -0500 en text/html
Killexams : Amentum Recognized as the Best Maximo Asset Data Governance Program at the 2022 MaximoWorld Conference

Amentum, a premier global government and private-sector partner supporting the most critical missions of government and commercial organizations worldwide, was awarded Best Maximo Asset Data Governance Program at the 2022 MaximoWorld Conference in Austin, TX, today for their work with Interloc Solutions, Inc. (Interloc) in optimizing data and decision making through a progressive and reliability centered data governance strategy. MaximoWorld, hosted by, for over 20 years, has been the largest cross-industry gathering for Maximo users, partners, and subject matter experts.

AUSTIN, Texas, Aug. 9, 2022 /PRNewswire-PRWeb/ -- Amentum, a premier global government and private-sector partner supporting the most critical missions of government and commercial organizations worldwide, was awarded Best Maximo Asset Data Governance Program at the 2022 MaximoWorld Conference in Austin, TX, today for their work with Interloc Solutions, Inc. (Interloc) in optimizing data and decision making through a progressive and reliability centered data governance strategy. MaximoWorld, hosted by, for over 20 years, has been the largest cross-industry gathering for Maximo users, partners, and subject matter experts.

Through an IBM Maximo Asset Management data governance strategy, elevated and enabled by Interloc's Mobility first philosophy to EAM, Amentum fosters excellent data quality, asset knowledge, and decision-making for its clients its clients around the world. By employing a program that enhances data quality through real-time visibility, and improved inspections and data readings, Amentum increases its asset knowledge, and predictive maintenance capabilities and analysis, giving its clients a proactive edge. Amentum's award-winning approach decreases mean time to repair (MTTR) and increases mean time between failures (MTBF) for its clients' key assets by taking advantage of the quality Maximo data gained via Mobile Informer and analyzing it through a robust data analytics platform.

Amentum's emphasis on mobility has also resulted in significant gains for its clients' sustainability initiatives. Mobile Informer's ability to eliminate reliance on paper-based procedures and immensely Excellerate data collection and quality led to one client in particular saving tens of thousands of dollars in annual paper, toner, and labor costs, as well as a near 20,000 lbs reduction in annual C02 emissions.

Data drives decision-making, and thanks to the powerful capabilities of and an innovative and progressive approach to Maximo, Amentum is making the best possible decisions based on the highest quality data for its clients around the world.

About Amentum

Headquartered in Germantown, Md., Amentum is a premier global services partner supporting critical programs of national significance across defense, security, intelligence, energy, commercial and environmental sectors. Amentum employs approximately 57,000 people on all seven continents and draws from a century-old heritage of operational excellence, mission focus, and successful execution. Amentum's reliability-centered and data-driven approach to asset management has proven successful at critical industrial and manufacturing facilities across various industries and facilities, such as pharmaceutical, life sciences, heavy industrial manufacturing, chemical refinement, aviation, automotive production, data centers, consumer production, industrial production, and more.

Learn more about Amentum at .

About Interloc Solutions

Since 2005, Interloc Solutions, an IBM Gold Business Partner and the largest independent IBM Maximo Enterprise Asset Management systems integrator in North America, has been helping clients and partners realize the greatest potential from their Maximo investment, providing application hosting, innovative consulting, and managed services. Interloc has enhanced the implementation and adoption of Maximo through its transformative Mobile Informer solution, which is currently in use across a wide range of disciplines and industries— including U.S. Federal Agencies, Utilities, Transportation, Airport Operations, Manufacturing, Healthcare, and the Oil and Gas.

As a consulting organization of highly qualified technology and maintenance professionals, experienced in all versions of Maximo, Interloc excels in delivering comprehensive, best-practice Maximo EAM consulting services and mobile solutions.

Learn more about Interloc's award-winning services and solutions at .

Media Contact

Scott Peluso, Interloc Solutions, 9168174590,

SOURCE Interloc Solutions

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Tue, 09 Aug 2022 04:15:00 -0500 text/html
Killexams : InterPro Grows Q2 Bookings, Named One of 10 IBM Solution Providers to Watch in 2022

STONEHAM, Mass., July 12, 2022 (GLOBE NEWSWIRE) -- InterPro Solutions, which offers the first and only suite of mobile solutions designed exclusively for IBM Maximo®, announced today that Q2 was another successful quarter, improving sales bookings by more than 50 percent over Q1, and was selected by CIOCoverage to its list of 10 IBM Solution Providers to Watch in 2022.

IBM Maximo is the top enterprise asset management (EAM) software in the world, used by millions of operations and maintenance professionals to manage complex facilities and field environments. InterPro offers a suite of mobile apps built exclusively for Maximo that O&M teams need to do their jobs efficiently and effectively without the cost, complexity, and service impacts of available alternatives.

In Q2, InterPro improved year-over-year bookings by over 13 percent as compared to Q2 2021, and more than 50 percent over Q1 2022. Over the period, InterPro added a number of innovative organizations to its client list, including a major theme park and an Ivy League medical school. InterPro also saw expansions at current clients Maryland Department of Transportation, Duke Energy, Hammerhead Resources, EQT Corporation, West Fraser, Hong Kong Jockey Club, and Maricopa County, among others. For the sixth straight quarter, the company’s sales pipeline increased to a new high.

A number of bookings were for a 2021 addition to the EZMax Suite, EZMaxVendor. EZMaxVendor is a cloud solution that enables organizations to manage and schedule external service vendors like they’re an extension of their internal workforce. It eliminates surprises by establishing a shared understanding on work scope, cost, location, start time, and technicians, and automatically saves all work execution details to the organization’s Enterprise Asset Management (EAM) system.

“We went into Q2 with high expectations. Driven by expanded EZMaxMobile footprints at a number of existing clients and continued success with our newer products, we increased our sales by more than 50 percent over Q1 and again saw expansion of our sales pipeline to an all-time high,” said Dan Smith, Vice President, Sales and Marketing at InterPro Solutions.

In April, InterPro announced it was selected by CIOCoverage to its list of 10 IBM Solution Providers to Watch in 2022. CIOCoverage helps CEOs, CXOs, and CIOs stay aware and abreast of all the latest digital advancements and technological surges, helping their organizations effectively respond to client expectations and evolve their digital technologies and processes. Its 10 IBM Solution Providers to Watch in 2022 Special Edition highlights a select list of IBM business partners that are leading that digital advancement.

CIOCoverage described InterPro’s EZMax Suite for IBM Maximo as having “accessible, understandable interfaces, vibrant visuals, and robust functionality allowing for maintenance managers and technicians to work efficiently and effectively.” They continued, “Offering the first and only suite of mobile Enterprise Asset Management (EAM) applications built specifically for IBM Maximo, InterPro Solutions leverages native Maximo rules and permissions, and even extends native Maximo capabilities to reflect how people carry out their work activities.”

“InterPro has developed a suite of Maximo mobile products with unparalleled performance and unmatched mobile functionality,” said Bill Fahey, InterPro Solutions’ Chief Executive Officer. “Our efforts resulted in new clients across a variety of industries, an expanded footprint across many existing clients and industry recognition by CIOCoverage. Having increased our sales bookings by more than 50 percent over Q1 while continuing to grow our sales pipeline, we’re very bullish about the remainder of 2022.”

To learn more about InterPro’s EZMax Suite for Maximo, visit

About InterPro Solutions
InterPro Solutions, an IBM Business Partner, offers the first and only suite of mobile Enterprise Asset Management (EAM) solutions designed exclusively for IBM Maximo – using native Maximo rules, permissions and datastores – eliminating double updates, data lags, and synchronization failures. InterPro’s EZMax Suite expands upon native Maximo capabilities to mirror the way people actually work – with intuitive navigation, rapid app response, and rich functionality – allowing operations and maintenance professionals to effectively communicate with their community members and manage tasks, technicians, and vendors in a way that improves responsiveness to their organizations. To learn more, visit

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Tue, 12 Jul 2022 01:34:00 -0500 en-US text/html
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