Category Archives: Automation

A woman walks past the logo of Swiss power technology and automation group ABB ahead of a news conference to present the company's full-year results in Zurich, Switzerland February 8, 2017. REUTERS/Arnd Wiegmann/Files

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ZURICH, May 18 (Reuters) - ABB (ABBN.S) is aiming to further raise profitability in its process automation business through pricing, acquisitions and strict cost management, the Swiss engineering company said on Wednesday, ahead of its capital markets day for the division.

The company said it planned to grow the business by helping more companies manage the energy transition and boosting its digital business.

"Process Automation today already generates approximately $500 million in orders from industrial software and digital services and expects continued double-digit growth in this area," it said in a statement.

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Reporting by Brenna Hughes Neghaiwi; Editing by Tom Hogue

Our Standards: The Thomson Reuters Trust Principles.

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ABB looks to pricing, acquisitions to boost process automation profit - Reuters

As automation adoption and usage become table stakes of the modern enterprise, an increasingly tech-savvy generation of workers is emerging to supply the accompanying IT support. These individuals not only want powerful software tools; they need them to succeed in their roles, to be more engaged and agile as they move through their responsibilities, and drive results for their organization. Low-code technology is positioned as the solution for sustaining that technical appetite.

While some organizations may already be familiar with low code, the low code of a few years ago is quickly evolving to become even more accessible. As businesses plan their IT investments and consider if the innovation is a fit for their needs, heres what they can look forward to:

Low code will become more prevalent across all business functionsnot just IT

Traditionally, automation usage and application development has been reserved to those in IT and engineering. While this ownership makes sense given those individuals expertise, it also creates a bottleneck for the wider organization when it comes to innovation. With limited bandwidth, IT teams are often unable to service every one of their colleagues requests in a timely manner, which can hinder larger workflows if a technical issue is keeping an employee from executing his or her responsibilities.

With low code, workers outside of IT can take software development into their own hands: all they need is a foundational understanding of how to use a computer. Low-code automation requiresas the name insistslittle to no coding to design and launch, making it an intuitive tool for bringing workers across industries and technical experience into the folds of innovation. When users across the business can build simple and even complex automations themselves, IT professionals can focus on more strategic projects that demand their expertise. As a result, the business at large is able to solve more problems, pursue new objectives or opportunities and better compete in the market.

Even more democratizing is the emergence of no-code automationthough the lack of coding may come across as conceptually confusing to new users. This knowledge gap underscores the need for more accessible automation education in order to unlock no and low codes potential at scale. Specialized training programs can help employees better understand how to leverage these technologies to execute their everyday responsibilities more efficiently.

Whereas individuals outside of IT and engineering roles may not understand coding, they do understand business processes, which is where employers will need to focus when they introduce low code and no code and accompanying training programs to their organizations. Regardless of the industry or area of business they are working within, employees can leverage low codes versatility to support the routine processes essential to their roles.

To this end, low code not only makes workers jobs more efficientit also has the potential to make them more effective. A low-code interface allows users to link systems to pull information from so that they can easily make business decisions rooted in data. For example, low-code applications can be configured to auto-populate routine forms using information from financial or CRM systems so that employees can spend more time analyzing it rather than sourcing it.

Low-code advancements will make the technology even more accessible

In order for workers with less formal technology training to leverage low-code tools and create their own automations, these technologies need to be intuitive. In response to this need, a wave of advancements in low-code platforms is making this ease-of-use a reality, including:

The increasing ubiquity of automation within modern enterprises is paving the way for a new, technology-infused world of work. However, to capitalize on that trend and become fully automated enterprises, organizations need to supply employees, even the non-technical ones, with the tools and training needed to ensure automation is at the fingertips of every person. Fortunately, the future of low code is an accessible one, meaning more workers across verticals and job functions can put the technologys power to use to make more agile and informed decisionsand drive their businesses forward as a result.

About the Author

Palak Kadakia is VP of Product Management at UiPath with a passion for building innovative products and teams. Focused on building designing intuitive customer experiences, Palak leads the engagement platform for RPA which includes a low-code app development platform, human in the loop, conversational AI and data services. Prior to UiPath, Palak was a product management leader at Microsoft.

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Predictions for the Future of Low-Code Automation - insideBIGDATA

Redding, California, May 18, 2022 (GLOBE NEWSWIRE) -- According to a new market research report titled, Pharmaceutical Automation Market by Component (Plant-level Controls, Enterprise-level Controls, Plant Instrumentation), Mode of Automation (Semi-automatic, Fully-automatic), End User, and Geography - Global Forecast to 2029, the pharmaceutical automation market is projected to reach $18.2 billion by 2029 at a CAGR of 12.0% during the forecast period of 2022-2029.

DownloadFree Sample Report Now @ https://www.meticulousresearch.com/download-sample-report/cp_id=5280

Increasing adoption of robots in pharmaceutical manufacturing, government initiatives to promote industrial development, rising investments for transforming conventional production facilities, and growing demand for safe and digitized production processes are expected to support the growth of this market during the forecast period.

The high initial cost of procuring automation hardware and software is expected to restrain the growth of this market. Furthermore, the growing demand for IIoT in pharmaceutical manufacturing and the huge demand for vaccine manufacturing for COVID-19 are expected to offer significant growth opportunities for players operating in this market. However, the limited availability of skilled laborers and cybersecurity risks associated with automated systems are major challenges for the growth of this market.

The Impact of COVID-19 on the Pharmaceutical Automation Market

The outbreak of the COVID-19 pandemic increased the demand for testing and production, resulting in an increased demand for automation solutions. The pharma sector has transitioned from ad hoc automation deployments to implementing robots as an important tool in the global battle against COVID-19. The requirement for robot arms for viral DNA testing has increased due to the COVID-19 pandemic. Furthermore, many pharmaceutical companies have quickly adopted automation and robotics solutions for automated COVID-19 testing.

Pharmaceutical companies have effectively utilized the advantages of automation to maintain or increase production without compromising quality or safety. Automation has allowed pharmaceutical companies to ramp up production safely and build production lines faster and in a more scalable way. The COVID-19 pandemic has accelerated pre-existing trends, such as flexible automation, digitalization, batch production, and personalization.

Speak to our Analysts to Understand the Impact of COVID-19 on Your Business:https://www.meticulousresearch.com/speak-to-analyst/cp_id=5280

The COVID-19 pandemic propelled the demand for SCARA and collaborative robots for pharmaceutical manufacturing. Collaborative robots have allowed pharmaceutical research companies to automate repetitive tasks, and SCARA robots have enabled pharmaceutical companies to perform high-volume tasks such as COVID-19 sample testing with greater accuracy.

The increasing demand for vaccines is expected to increase the adoption of automation for pharmaceutical manufacturing. If the effects of vaccination are short-term due to virus mutations, there will be an increase in robotics adoption as more spending will be catered to automation and robotics by the pharmaceutical industry.

The pharmaceutical automation market is segmented based on component (enterprise-level controls [product lifecycle management, enterprise resource planning, manufacturing execution systems], plant instrumentation [motors & drives, robots, sensors, machine vision systems, relays & switches, and other plant instrumentation components], plant-level controls [supervisory control and data acquisition, distributed control systems, programmable logic controllers, other plant-level controls]), mode of automation (semi-automatic, fully-automatic), end user (pharmaceutical industry, biotech industry), and geography. The study also evaluates industry competitors and analyzes the market at the regional and country levels.

Based on component, the pharmaceutical automation market is segmented into enterprise-level controls, plant instrumentation, and plant-level controls. In 2022, the enterprise-level controls segment is estimated to account for the largest share of the pharmaceutical automation market. The large market share of this segment is attributed to the benefits of implementing product lifecycle management, enterprise resource planning, and manufacturing execution systems solutions at the enterprise level. Manufacturing execution systems solutions integrated with process control systems enable pharmaceutical manufacturers to increase productivity and efficiency at a lower cost and significantly reduce the time-to-market of new products. Furthermore, these systems enable organizations to maintain and manage records of their lifecycle, resulting in cost savings. However, the plant instrumentation segment is expected to witness a significant growth rate during the forecast period .

Quick Buy Pharmaceutical Automation Market by Component (Plant-level Controls, Enterprise-level Controls, Plant Instrumentation), Mode of Automation (Semi-automatic, Fully-automatic), End User, and Geography - Global Forecast to 2029 Research Report: https://www.meticulousresearch.com/Checkout/87904065

Based on mode of automation, the pharmaceutical automation market is segmented into semi-automatic and fully-automatic systems. In 2022, the semi-automatic segment is expected to account for the largest share of the pharmaceutical automation market. However, the fully-automatic segment is expected to register a higher CAGR during the forecast period. The rapid growth of this segment is attributed to the increasing installation of complete automation solutions in end-use industries such as chemicals & materials, metals & mining, oil & gas, and paper & pulp. Fully-automatic solutions aid the companies in these industries to efficiently manage activities on-site and in offices.

Based on the end user, the pharmaceutical automation market is segmented into pharmaceutical industry and biotech industry. In 2022, the pharmaceutical industry segment is expected to account for the largest share of the pharmaceutical automation market. The large market share of this segment is attributed to the rapid adoption of continuous improvement process (CIP) to improve production flexibility and efficiency and reduce wastage. Furthermore, prominent technology players such as Microsoft, IBM, and Google are engaged in developing automation and cloud solutions for the pharmaceutical and healthcare industry to close security gaps and protect healthcare and pharmaceutical production networks from external attacks.

Based on geography, Asia-Pacific is expected to account for the largest share of the pharmaceutical automation market, followed by Europe and North America. Asia-Pacifics large market share is attributed to high technical awareness regarding the usage of robotics in China, Japan, and Singapore. The Asian pharmaceutical manufacturing sector has robust production capabilities, which further fuels the demand for pharmaceutical automation solutions in Asia-Pacific.

The major players operating in the pharmaceutical automation market include ABB Group (Switzerland), Rockwell Automation (U.S.), Siemens AG (Germany), Yaskawa Electric Corporation (Japan), Schneider Electric (France), Yokogawa Electric Corporation (Japan), KUKA AG (Germany), Emerson Electric (U.S.), Fanuc (Japan), Honeywell International (U.S.), Mitsubishi Electric Corporation (Japan), OMRON Corporation (Japan), Advantech Co., Ltd. (Taiwan), and Fuji Electric Co., Ltd. (Japan).

To gain more insights into the market with a detailed table of content and figures, click here:https://www.meticulousresearch.com/product/pharmaceutical-automation-market-5280

Scope of the Report:

Pharmaceutical Automation Market, by Component

Pharmaceutical Automation Market, by Mode of Automation

Pharmaceutical Automation Market, by End User

Pharmaceutical Automation Market, by Geography

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Amidst this crisis, Meticulous Researchis continuously assessing the impact of COVID-19 pandemic on various sub-markets and enables global organizations to strategize for the post-COVID-19 world and sustain their growth. Let us know if you would like to assess the impact of COVID-19 on any industry here-https://www.meticulousresearch.com/custom-research

Related Report:

Industrial Automation Market by Component (Plant-level Controls, Enterprise-level Controls, Plant Instrumentation), Mode of Automation (Semi-automatic, Fully-automatic), and End User (Oil & Gas, Automotive, Food & Beverage, Chemicals & Materials) - Global Forecast to 2027

https://www.meticulousresearch.com/product/industrial-automation-market-5172#toc

Industrial Automation Spares Market by Type (Electrical Components, Electronic Components, Mechanical Components), End User (Oil & Gas, Automotive, F&B, Semiconductor & Electronics, Power), and Geography - Global Forecast to 2029

https://www.meticulousresearch.com/product/industrial-automation-spares-market-5256

About Meticulous Research

Meticulous Research was founded in 2010 and incorporated as Meticulous Market Research Pvt. Ltd. in 2013 as a private limited company under the Companies Act, 1956. Since its incorporation, the company has become the leading provider of premium market intelligence in North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa.

The name of our company defines our services, strengths, and values. Since the inception, we have only thrived to research, analyze, and present the critical market data with great attention to details. With the meticulous primary and secondary research techniques, we have built strong capabilities in data collection, interpretation, and analysis of data including qualitative and quantitative research with the finest team of analysts. We design our meticulously analyzed intelligent and value-driven syndicate market research reports, custom studies, quick turnaround research, and consulting solutions to address business challenges of sustainable growth.

Contact:Mr.Khushal BombeMeticulous Market Research Inc.1267WillisSt,Ste200 Redding,California,96001, U.S.USA: +1-646-781-8004Europe : +44-203-868-8738APAC: +91 744-7780008Email-sales@meticulousresearch.comVisit Our Website:https://www.meticulousresearch.com/Connect with us on LinkedIn-https://www.linkedin.com/company/meticulous-researchContent Source: https://www.meticulousresearch.com/pressrelease/504/pharmaceutical-automation-market-2029

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Pharmaceutical Automation Market Worth $18.2 Billion by 2029 - Exclusive Report by Meticulous Research - GlobeNewswire

Navigating the New Economy: Jobs & Automation, Challenges & Opportunities Available for Download Now

Detroit, Michigan, May 19, 2022 (GLOBE NEWSWIRE) -- Artificial Intelligence Technology Solutions, Inc., (OTCPK:AITX), today announced that its CEO, Steve Reinharz has published a new composition that examines how businesses must adapt in the new post-COVID, great resignation economy.

Navigating the New Economy: Jobs & Automation, Challenges & Opportunities is available download, free of charge from several of the Companys websites. The book reviews the anguish felt by businesses of all sizes because of recent fluctuations in the labor market and introduces several innovative solutions utilizing AI-fueled automation.

"As someone growing a tech company that provides solutions, Ive experienced the misery that just about every business is experiencing today, said Steve Reinharz, CEO of AITX and author of the book. Staffing, training, and maintaining a solid workforce has become so costly and resource-draining that its essential for companies to seek automation in some form to keep things moving forward. I wrote this piece in an effort to share whats working for us, and help other business leaders gain insight into what a RAD future can look like.

The e-book is available for download at https://tinyurl.com/uczv5sdj

For those following AITX, and those interested in keeping up with the rapidly changing and challenging times, this piece may help equip you to make a few cost-effective, immediate ROI-returning decisions, Reinharz concluded.

AITX intends to file for listing on the OTCQB within 10 days of filing its YE2022 10-K which is expected in May.

CAUTIONARY DISCLOSURE ABOUT FORWARD-LOOKING STATEMENTSThis release contains "forward-looking statements" within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E the Securities Exchange Act of 1934, as amended and such forward-looking statements are made pursuant to the safe harbor provisions of the Private Securities Litigation Reform Act of 1995. Statements in this news release other than statements of historical fact are "forward-looking statements" that are based on current expectations and assumptions. Forward-looking statements involve risks and uncertainties that could cause actual results to differ materially from those expressed or implied by the statements, including, but not limited to, the following: the ability of Artificial Intelligence Technology Solutions to provide for its obligations, to provide working capital needs from operating revenues, to obtain additional financing needed for any future acquisitions, to meet competitive challenges and technological changes, to meet business and financial goals including projections and forecasts, and other risks. Artificial Intelligence Technology Solutions undertakes no duty to update any forward-looking statement(s) and/or to confirm the statement(s) to actual results or changes in Artificial Intelligence Technology Solutions expectations.

About Artificial Intelligence Technology Solutions (AITX)AITX is an innovator in the delivery of artificial intelligence-based solutions that empower organizations to gain new insight, solve complex challenges and fuel new business ideas. Through its next-generation robotic product offerings, AITXs RAD, RAD-M and RAD-G companies help organizations streamline operations, increase ROI, and strengthen business. AITX technology improves the simplicity and economics of patrolling and guard services and allows experienced personnel to focus on more strategic tasks. Customers augment the capabilities of existing staffs and gain higher levels of situational awareness, all at drastically reduced cost. AITX solutions are well suited for use in multiple industries such as enterprises, government, transportation, critical infrastructure, education, and healthcare. To learn more, visit http://www.aitx.ai, stevereinharz.com, http://www.radsecurity.com and http://www.radlightmyway.com, or follow Steve Reinharz on Twitter @SteveReinharz.

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Steve Reinharz949-636-7060@SteveReinharz

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AITX CEO Steve Reinharz Releases Latest Publication on the New Economy, Jobs, and Automation - GlobeNewswire

Top-level Rockwell Automation Platinum Partnership helps industry address current issues and prevents future ones

MELBOURNE, Australia, May 19, 2022 /PRNewswire/ -- Rockwell Automation, the world's largest company dedicated to industrial automation and digital transformation, announced SAGE Automation as the first organisation globally to be designated as a Platinum System Integrator Partner as part of the PartnerNetwork Program. Based in Australia and India, SAGE Automation is an independent industrial automation and control systems integrator, delivering industrial automation design, delivery, and support globally.

Rockwell Automation Announces the First Platinum System Integrator Partner, SAGE Automation, to its PartnerNetwork(TM)

(PRNewsfoto/Rockwell Automation)

The program brings robust commercial and technical enablement to maximise system integrators' skills, recognise and reward performances, and provide the ability to find the right system integrator for a project to meet our customers' needs and achieve mutual success. As a Platinum System Integrator Partner, SAGE Automation will receive benefits including gaining enhanced recognition with customers and in the industry, as well as receiving incentives and product and technical support.

"The partnership between Rockwell Automation and SAGE Automation aims to deliver the full benefits of world-class automation to Australia, helping local industries obtain the widest possible breadth of expertise to make the most productive automation choices and avoid the high costs of uninformed decisions," said Anthony Wong, managing director, South Pacific, Rockwell Automation.

"Automation is no longer an option for many companies who wish to remain competitive it is an imperative and Rockwell Automation's collaboration with SAGE will simplify programming and lifecycle management, accelerating time to value for our customers," he added.

Machine builders, system integrators, and others will gain development and deployment efficiencies through the use of digital engineering tools. The combined Rockwell and SAGE Automation solutions will also offer benefits beyond enhanced integration. For example, end users can use analytics and digital twin tools to gain deeper insights into machine performance and potential production optimisation. They can also use safety and security solutions to reduce business risks.

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"SAGE Automation is proud to be the first recognised Platinum Partner globally in Rockwell's System Integrator Partner Program. SAGE's industrial digitalisation services through a data-driven approach combined with automation, scalable support and enabling internal capability have accelerated thousands of client journeys around the world," said Adrian Fahey, group managing director, SAGE Group of companies. "Our partnership with Rockwell brings the technical experience and best thinking to these critical industries and projects, from supporting Australia's most iconic manufacturers, to the energy systems that power our homes, the safety solutions that protect workers in high-risk environments, and the systems that provide Australians with clean drinking water."

Rockwell Automation Australia's key focus industries in Australia and New Zealand include manufacturing, particularly food and beverage, resources, including mining, oil and gas, energy, transport, including automotive and metal working, water and smart wastewater and sustainability solutions.

"Achieving this level of partnership with Rockwell cements our position as a world leader, supporting our clients through times of change, and always delivering the certainty they rely on," concluded Fahey.

For more information on Rockwell Automation's System Integrator Program, or to request more information from your local sales office, please clickhere.

About SAGE Automation

Part of the SAGE Group of Companies, SAGE Automation is a leading Australian system integration organisation, helping users optimise performance with quality implementation and related services. SAGEdelivers agile, scalable and secure solutions that not only address current problems, but also pre-empts and deters future ones. SAGE provides training and certification opportunities for system integrator partners and encourages customers to require that their preferred partners gain the highest levels of expertise and certification, thus achieving optimum recognition for their system quality in local and global markets.

About the Rockwell Automation PartnerNetwork

Rockwell Automation believes we're better togetherand we do our part by delivering an expansive, global partner ecosystem of market-leading technology, superior support and services, and an integrated and streamlined approach to business. Succeed on an international scale by utilising our network's breadth of innovative technologies and services that no single vendor can provide alone. To learn more about how the PartnerNetwork is helping to deliver the value of The Connected Enterprise, visit PartnerNetwork Program | Rockwell Automation United States.

About Rockwell Automation

Rockwell Automation, Inc. (NYSE: ROK), is a global leader in industrial automation and digital transformation. We connect the imaginations of people with the potential of technology to expand what is humanly possible, making the world more productive and more sustainable. Headquartered in Milwaukee, Wisconsin, Rockwell Automation employs approximately 25,000 problem solvers dedicated to our customers in more than 100 countries. To learn more about how we are bringing The Connected Enterprise to life across industrial enterprises, visitwww.rockwellautomation.com.

SOURCE Rockwell Automation

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Rockwell Automation Announces the First Platinum System Integrator Partner, SAGE Automation, to its PartnerNetwork(TM) - Yahoo Finance

Steel production and supply are largely influenced by the speed of production as well as demand.

Warje, Pune, Maharashtra, May 19, 2022: Steel production and supply are largely influenced by the speed of production as well as demand. Unplanned downtime is extremely expensive for a company in the steel industry. KNEO Automation, a leading Industrial Automation and Industry 4.0 service provider company, has successfully implemented a MAPP VITA predictive maintenance module in the steel industry to provide manufacturers with earlier visibility into events, minimizing maintenance workloads, costs, and plant downtime.

MAPP VITA

The maintenance team check for sign of potential failure and practice predictive strategies to search for the root cause of an impending breakdown. An entire team can easily access and share the data with measurements then alert notifications are sent to the concerned team when the asset experiences any changes than the threshold values. Now the maintenance team can resolve the concerns before they cause a complete breakdown.MAPP VITA software has a maintenance workflow that keeps track of all data. All maintenance data can be captured and stored at a particular machine master which will enhance the uptime of machines.Using industry-standard protocols, predictive maintenance functionality makes it simpler to analyze the condition and operational characteristics of an asset to know when to perform service, based on the condition of parts.

For further information on this analysis, please visit: https://bit.ly/3iC5Bv4

About Kneo:

Kneo has been engaged in the field of industrial automation in various sectors of the economy like Automotive, Food and beverages, Textile, Process, etc. Along with Automation operations, they are also providing solutions in the IT- OT domain. Kneo helps in automating processes with various Industrial automation services. Their Industry 4.0 solution includes a Performance monitoring system, an advanced scheduling module, a track and trace module, maintenance management, etc.Are you ready to harness the power of machine data with Kneo IIOT Platform?

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KNEO Automation Successfully Implemented MAPP VITA maintenance Module in the Steel Industry | RoboticsTomorrow - Robotics Tomorrow

Strategic hires to extend company momentum and drive digital transformation in enterprise networks

SACRAMENTO, Calif., May 19, 2022 /PRNewswire/ --Gluware, the leader in intelligent network automation, today announced two new hires to company leadership: Traci Soward, as chief marketing officer, and John Alves, as chief financial officer. Amid a period of tremendous growth, Alves and Soward are key to furthering Gluware's expansion into new markets, addressing demand to de-risk complex networks, and accelerating enterprise hyperautomation and digital transformation strategies.

"The network is the platform for business growth, innovation and transformation. Enterprises are under constant pressure to keep complex networks secure and running optimally while simultaneously reducing OPEX, increasing scale and accelerating time-to-value. The industry needs pre-built intelligent automation and orchestration solutions that deliver these outcomes, and this is where Gluware wins. Our technology, solutions and NetDevOps capabilities are world-class, and our customers are our biggest advocates," said Traci Soward, chief marketing officer, Gluware. "Driving business growth and maintaining customer loyalty are key priorities. Gluware is building off serious momentum generated over the past year and is taking bold, calculated steps to meet the opportunities ahead."

Joining Gluware as Chief Marketing Officer, Soward will strengthen Gluware's brand as the leader in network automation and orchestration and share Gluware-led digital transformation strategies with new clients, industries and regions. She is a seasoned and award-winning marketing and business development executive with over 25 years of success in driving breakaway growth throughout the technology industry. Soward has held numerous key leadership positions with global industry leaders, such as Cisco, WebEx and Intel. She has pioneered new revenue models, invented partner programs that dramatically expanded addressable markets, and created marketing capabilities that achieved record-breaking results in revenue, adoption and retention.

"I am excited to join the Gluware team at such an exciting moment for both the business and the industry. Gluware offers a compelling suite of intelligent network automation applications and solutions, which run on a best-in-class, mission-critical and commercial-ready technology platform. With a highly experienced management team and an exceptional growth path, Gluware is primed to lead enterprise network automation and orchestration into a whole new era," said John Alves, chief financial officer, Gluware. "I believe the company is on the launch pad, well-positioned and sufficiently capitalized for hyper-growth and large-scale success."

As Chief Financial Officer, Alves will oversee Gluware's financial growth, including the $43 million in funding Gluware secured in October 2021 to accelerate the company's growth and increase the adoption of innovations that enhance network agility, security and performance at scale. Alves is an experienced CFO with over 25 years of finance and operational strategy experience serving both private and public companies. Prior to joining Gluware, he was a fractional CFO focused on advising and leading early-stage technology companies through periods of hyper-growth. Alves is a CPA with both B.S. and M.B.A. degrees in finance and accounting from California State University, East Bay.

Soward and Alves will join a quickly growing leadership team. In January, Gluware welcomed Ernest Lefner as chief product officer, Stanislav Miskovic as vice president of Artificial Intelligence, and Tim Silverline as vice president of Security. In February, Gluware added Jaime Wagner as vice president of Sales, North America, Colin Henry as vice president of Channel Sales, and Julie Keith as senior director of Customer Support. Gluware has experienced explosive growth recently as a result of its ease of use and ability to deliver rapid time to value by accelerating the adoption of strategic network automation efforts.

Enterprise networks are highly complex, riddled with large and sensitive attack surfaces and security vulnerabilities, and too often rely on manual processes executed by over-worked human beings. These complexities lead to risky misconfigurations, operational disruption, and ultimately, revenue loss. These problems are compounded by network growth and technological change. In the face of these complex challenges, Gluware's intelligent network automation simplifies how networks are discovered, analyzed, updated and maintained. The Gluware Intelligent Network Automation suite accelerates network automation with a commercial-off-the-shelf platform that offers no-code/low-code development with built-in applications for security and compliance. Gluware eliminates customers' need to develop software or retrain IT staff. Committed to improving and innovating suite offerings, Gluware recently released a Network Robotic Process Automation (RPA) solution and is building toward self-operating functionality and visualization features in the near term.

For more information on Gluware and the latest innovations in the Gluware Intelligent Network Automation suite, please visit http://www.gluware.com.

About GluwareGluware is the leading intelligent network automation suite for the cloud era, trusted by Global 2000 enterprises, across industries, from Pharma to Finance. Gluware automates the networks of the world's largest and most complex enterprises by simplifying how multi-domain enterprise networks are discovered, analyzed, and maintained. The company's code-free, intent-based approach to network automation reduces the business risk of unplanned outages and downtime while elevating the performance of people and systems.

Contact Dex Polizzi Lumina Communications for Gluware [emailprotected]

SOURCE Gluware

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Gluware Adds New Financial and Marketing Executives as Company Scales Leadership in Intelligent Network Automation - PR Newswire

Automation. Robotics. The pivot to contactless engagements. In foodservice, after the disruption of the last two years, and now with prices on the rise and labor challenged, leaning in to these seems to make senseuntil remembering that foodservice is part of the hospitality industry.

The cornerstone of hospitality is the warm, friendly interaction between people that results in a pleasant experience. In the case of foodservice, that interaction is between staff and patrons and is generally labeled as customer service. Its something operators and consumers have embraced for decades upon decades. At least until 2020, that is, when the foodservice industry came to screeching halt and human contact was taboo.

This pause in business as usual turned hospitality on its head. In a quest to find a profitable path forward, many operators began reducing and nearly eliminating staff and, as a matter of course, that human touch. Consumers began embracing the speed and efficiency of meal delivery and take out and the near risk-free dining experiences they offer.

Though born out of necessity, the big question now is whether or not this Jetson-like world can, will or should last. Georgia-Pacifics GP PRO sought answers by conducting proprietary research among consumers and foodservice workers. The responses provide compelling learnings for operators looking to not only survive the pandemic but to evolve and pivot in order to succeed.

Find the Sweet Spot

Every person has a different appreciation for and acceptance of technology, and it comes as no surprise that age is a defining factor. GP PROs research found that the majority (53 percent) of the Silent Generation and nearly half (48 percent) of Baby Boomers welcome some attention when dining out by way of engaging but non-disruptive customer service; and roughly one-third of Gen Xers (31 percent), Millennials (32 percent) and Gen Zers (31 percent) prefer to engage with staff only as needed. Only slightly fewer Gen Zers (27 percent) consider themselves DIY diners who want a completely self-service dining experience from start to finish.

Across all age demographics combined, 34 percent of diners welcome staff attention, 25 percent want someone available if needed, 22 percent appreciate small talk with staff, 11 percent want complete independence, and 8 percent seek engaging conversation with staff.

Invest Where it Matters to Consumers

Its pretty rare for operators to actually seek insights from consumers on where investments are needed to improve the establishments overall business. Some might argue that these insights arent needed because the answer lies in technology. Theres certainly some truth in that. But what kind of technology in particular? Margins are thin, perhaps more so now than ever before, so giving consumers a voice and then investing in what they see as most important is critical to helping secure repeat business, build loyalty, and secure brand advocacy.

When asked to pick two areas of investment for operators to focus on, 42 percent of consumers said order accuracy, 36 percent said speed of service, and 29 percent said face-to-face customer service. Only 10 percent of consumers want to see operators invest in app development for mobile ordering, and just 6 percent in automation to minimize contact with employees.

Invest Where it Matters to Employees

Its been said repeatedly that the last two years have been among the most trying two years ever for the foodservice industry. Closure mandates, mask mandates, supply chain issues, inflation, food shortages, and the list goes on. Emotions are up, and revenue is down.

But dont forget that foodservice workers have been on this rollercoaster, too. Most lost their jobs through no fault of their own for at least some part of the pandemic. Many couldnt return when the opportunity presented itself, others wouldnt, and some came back only to leave soon after.

Its easy to point the finger at what some might call fickle hourly employees. But GP PROs research shows that foodservice workers who were employed for some or all of the past two years believe there is a way throughvia higher wages (62 percent), stronger leadership (42 percent), and being valued by management (40 percent). Even without those investments, 83 percent of foodservice workers said they are very or somewhat likely to continue working in the industry. Why? For more than half of them (56 percent, they enjoy interacting with customers.

Cindy Egnarski owns a Figaro Pizza and Cousins Subs in Pulaski, Wisconsin. With 18 years of experience in the foodservice industry, she believes these research findings are on the mark. The best part of working in foodservice is creating a great experience for my staff and my customers, and great experiences are generally built on human relations. Automation that empowers that kind of interaction and that enhances the experience for staff and patrons is the kind of automation I find most valuable.

Human connection. Hospitality. Technology. If the research is any indicator, the delicate balance may just lie in automation that improves operational efficiency and supports an enhanced experience for consumers and staff alike.

Alec Frisch is vice president and general manager of Foodservice with GP PRO, a division of Georgia-Pacific. GP PRO and its Dixie brand solutions are helping operators innovate and build business with touchless dispensing systems and foodservice disposables that empower productivity and hygiene. Contact Alec at Alec.Frisch@gapac.com.

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Automation, Hospitality, and Employee Retention: It's All About Balance - QSR magazine

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Automation in the Age of IT-OT ConvergenceCompanies are constantly looking for better ways to augment their existing operational workloads, optimize production processes, and reduce overall Carbon Dioxide (CO2) emissions. The use of Operational Technology (OT) and Information Technology (IT) has helped enterprises better control their operations by monitoring valuable assets, reducing repetitive and routine tasks, and enhancing quality control. However, IT and OT have been traditionally developed separately with no ability to exploit operations and production data to make more informed decisions for more optimized workflow and well-planned production and maintenance processes.

The emergence of the Internet of Things (IoT) in recent years blurs the boundaries between the two systems, leading to a more convergent solution. IoT devices belonging to the IT domain can collect operational and production data from the field and communicate them to the OT systems.

The convergence of IT and OT will allow workers to do more and go further with their improvements, striking the right balance between the cost of business and strategic technology investment. Furthermore, this convergence will enable enterprises to accelerate their digital transformation and optimize their existing workflows, all without needing to scale up rapidly.

Graphics Processing Units (GPUs) have proven ideal for executing the data processing based on Machine Learning (ML) algorithms, allowing robots to perform object recognition and sensor fusion. Further advances have come from developing Application-Specific Integrated Circuit (ASIC) that excel in specific ML applications, such as video processing and speech recognition.

Robotics AutomationOne of the technologies that best represent IT-OT convergence is operations management through robotics automation. With automated processes, companies can analyze data, obtain valuable insights, and gain improved visibility of their production sites performance, helping them make data-driven decisions. However, robotics development has traditionally been very complex and challenging. As demand for robots is expected to increase rapidly, the current rate of innovation can be accelerated with the proper hardware and software offerings.

The Rise of RoboticsIn general, the deployment of robots has led these devices to host new functions aiming to increase workforce safety, reduce strenuous and hazardous tasks for human employees, accelerate e-commerce fulfillment and delivery, and enhance business flexibility and resilience. These new functions require the implementation of high-accuracy sensors that fulfill functional safety and risk prevention requirements, cameras for detection, localization, and navigation, and robotics middleware for application onboarding. In recent years, key advancements in robotics hardware allow robotics Original Equipment Manufacturers (OEMs) to develop robots that can see and sense their environments:

At the same time, advancements in software and services also deserve much attention:

Through these key advancements, robots can now work alongside a human safely and reliably. Apart from industrial robotics arms, more form factors have emerged in recent years, such as Collaborative Robots (cobots), AGVs, AMRs, Automated Storage and Retrieval Systems (ASRS), and Unmanned Aerial Vehicles (UAVs).

A common denominator across all these robots is their ability to perceive and make sense of their surrounding environment. This autonomy is enabled through several ML models found in the robots, such as object detection and segmentation, localization and collision avoidance, motion planning for navigation and manipulation, pose estimation, and sensor integration.

Edge ML enables robotics users to make sense of the mountain of data they collect from their assets and make much better business decisions based on daily operation, usage trends, and customer behaviors.

Edge ML in RoboticsRobotics OEMs have embedded edge ML into their robots to help with performing critical functions, including sensor processing, odometry, localization and mapping, vision and perception, and path planning. These ML models hosted inside robots automatically process data collected by the robots and generate an output that dictates the robots actions. Edge ML holds several key advantages over its cloud counterpart:

Edge ML enables robotics users to make sense of the mountain of data they collect from their assets and make much better business decisions based on daily operation, usage trends, and customer behaviors. To achieve seamless edge ML deployment, robotics OEMs require the right type of processors to resolve concerns around data privacy, power efficiency, and low latency, while providing strong on-device computing performance. In addition, OEMs rely on edge ML software support from these processor suppliers to accelerate edge ML deployment. A comprehensive edge ML solution from established vendors can reduce complexity, and accelerate edge ML design and operations, while also providing workload orchestration, training and testing simulation, and model retraining support.

That said, edge ML deployment in robots remains complex. Higher computational capability alone is not sufficient. Companies need pre-trained models, application development and optimization, and ML applications for more hands-on end users.

Tools and Services Speeding Robotics DevelopmentAdvanced industrial robotics are packed with multiple features capable of executing a number of mission-critical functions. The execution and the orchestration of these functions require highly sophisticated, densified, and scalable processing solutions that can process multiple concurrent applications, workloads, and AI inference pipelines without the constant reliance on cloud computing resources. These solutions should also support high-speed interfaces to handle the multiple sensors featured in modern industrial robots.

NVIDIA is one of the key processor platform suppliers to dedicate particular attention to this area. At GTC 2022, NVIDIA launched the Jetson AGX Orin developer kit and System-on-Module (SOM) based on the Ampere GPU architecture with up to 2,048 parallel CUDA cores, up to 64 Tensor Cores, and up to 2 Deep Learning Accelerator (DLA) engines. This solution is designed to handle the ever-increasing workload and multi-concurrency demands by enabling up to 275 Tera Operations per Second (TOPS) of processing power, 8X higher than Jetson AGX Xavier, its predecessor.

To accelerate time-to-market, NVIDIA also offers Isaac Nova Orin, which features two Jetson AGX Orin SOMs that provide up to 550 TOPS of AI compute, and a sensor suite consisting of up to six cameras, three LiDAR sensors, and eight ultrasonic sensors. This provides a reference design for companies that want their robots to leverage the full capabilities of Jetson AGX Orin.

That said, edge ML deployment in robots remains complex. Higher computational capability alone is not sufficient. Companies need pre-trained models, application development and optimization, and ML applications for more hands-on end users. First launched in 2018, NVIDIA Isaac was designed to support robotics development through an application framework, software packages with ML algorithms, an upgraded robotics simulation platform, and various reference designs. In September 2021, NVIDIA and Open Robotics, the developer of ROS, entered into an agreement enabling interoperability between Open Robotics Ignition Gazebo and NVIDIA Isaac Sim. In addition, for developers that look at existing models to simplify their model development process, the NVIDIA TAO Transfer Learning Toolkit makes it easier for them to further adapt pre-trained ML models by NVIDIA for specific use cases.

With the software support from NVIDIA, robotics OEMs and end users train and optimize robots for a breadth of tasks virtually. Isaac Sim provides a realistic environment to train navigation and manipulation models. In the cases where real-world data are rare and hard to obtain, accurate data can be augmented with synthetic data to reduce the time for model training. Companies operating a large fleet of AMRs at production sites can use the NVIDIA DeepMap platforms cloud-based Software Development Kit (SDK) to speed robot mapping of extensive facilities from weeks to days, NVIDIA cuOpt Application Programming Interface (API) to enable near real-time routing optimizations, and NVIDIA Metropolis platform to integrate off-the-shelf video cameras and sensors with AI-enabled video analytics.

In addition, NVIDIA has built a growing ecosystem that possesses domain expertise in building robots with the Jetson platform. This includes 105 companies specializing in AI software, hardware and application design services, sensors and peripherals, developer tools, development systems, and more, providing complementary and value-added solutions and services. Leading partners include SICK, LIPS, FRAMOS, Universal Robots, and e-con Systems. Through this ecosystem, robotics OEMs and end users can expect end-to-end, integrated, and tailored experiences based on a deep understanding of their needs.

The intralogistics market for mobile robots is expected to grow from US$9 billion in 2022 to top US$36 billion by 2030. Both AGVs and AMRs are deployed in brownfield and greenfield warehouses for material handling.

Commercial Opportunities AboundWhile still heavily centralized in the industry, technological innovations across hardware, software, and business models accelerate robotic deployment across all major market verticals. As a result, the intralogistics market for mobile robots is expected to grow from US$9 billion in 2022 to top US$36 billion by 2030. Both AGVs and AMRs are deployed in brownfield and greenfield warehouses for material handling.

Now, AMRs and forklifts are used for material handling and mobile manipulation in manufacturing, which is expected to go from US$2.3 billion in 2022 to US$36.4 billion by 2030. Moving forward, AMRs and quadruped robots are expected to become more prominent in delivery, data collection, security, and cleaning. The last-mile delivery and retail robotics market are expected to grow from less than US$1 billion and US$1.3 billion in 2022 to US$16.2 billion and US$8.4 billion by 2030, respectively.

Robotics and MLAs companies continue to digitalize and automate their current workflows, they should not overlook the importance of robotics and ML-based automation. The emergence of a data-driven business environment, edge ML technologies, dedicated robotics development platform, and robust partner ecosystem is creating new opportunities for accepting and adopting robots across various markets.

Undoubtedly, current and immediate robotics adoption is heavily weighted toward larger companies. Still, emerging technologies present an opportunity for robotics providers to successfully lower the adoption barrier for small and medium businesses. A comprehensive hardware and software solution, like the one offered by NVIDIA, makes these technologies more accessible to both robotics OEMs and end users. Furthermore, partnering with an experienced company with a suitable robotics ecosystem, i.e., from the edge ML chipset layer to the software and applications layer, allows robotics OEMs to focus on perfecting their hardware design and expanding their market presence.

About the AuthorLian Jye Su, Principal Analyst at ABI Research, is responsible for orchestrating research related to robotics, Artificial Intelligence (AI), and Machine Learning (ML). He leads research in emerging and key trends in these industries, diving deeply into advancements in key components, regional dynamics in robotics and AI adoptions, and their future impacts and implications.

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When applying for financial services, applicants need to prove that they are who they say they are and that the information theyre providing isnt misleading, fudged or blatantly fraudulent.

Its standard practice not to mention basic common sense. But massive amounts of inaccurate information often as the result of intentional fraud still gets through.

Today every $1 in fraud loss costs U.S. financial services firms $4, according to LexisNexis Risk Solutions. Synthetic identity fraud, when fraudsters create identities not associated with real people, resulted in an estimated $20 billion in losses for U.S. financial institutions in 2020.

As the world becomes increasingly digitized and banks are inherently more global, fraud rates are naturally on the increase. But particularly amidst the pandemic, fraud rates have accelerated: On average, 5% of all financial application documents submitted in an online channel are manipulated but that number more than doubled in 2020 to 13%, according to Inscribe, a B2B software-as-a-service (SaaS) company specializing in fraud detection.

The 5-year-old, San Francisco-based Inscribe aims to combat this mounting problem with its AI-powered fraud detection and document automation tools. The company is among a growing number catering to the post-COVID global fraud detection and prevention market. This is expected to grow to $65.8 billion by 2026, representing a compound annual growth rate (CAGR) of 21.5% from 2021, according to Markets and Markets.

[ Learn more: AI engine exposes online fraud ]

Documents can be modified in many ways, saidInscribe CTO Conor Burke, who founded the company with his twin brother Ronan Burke. To reduce fraud loss and increase decisions and decision accuracy, the companys software first classifies the type of document, then extracts information from it and verifies information against it. The tool can pick up on Photoshop changes or alterations to JPEGs or PDFs, detects format inconsistencies, and follows so-called cookie crumbs, or user trails. It also creates trust and quality scores and has an integrated decision engine.

Inscribe differentiates itself in the marketby homing in on non-identity data points including income, revenue and assets, according to Conor Burke. The company claims to catch $80 million in fraud a month by identifying what is not visible to the human eye. It also says that its automated review function speeds up application times by 10-fold.

The companys tools employ human-in-the-loop AI. With such supervised machine learning, examples of fraud and nonfraud are labeled and input into models, and anomaly detection can be quickly developed to pick up on types of fraud that humans wouldnt otherwise see, Conor Burke explained.

One of the biggest things is the superhuman intelligence you can gain by using machine learning, he said. We really see this with our customers that magic moment when they see a computer operate at this level of super intelligence, that it really is able to catch fraud in a lot of cases that wouldnt have been caught.

The goal with time is to reduce as much as possible the number of humans involved and rely on natural feedback and other data points to improve and enhance models, Burke said. This is to be as scalable as possible and to adapt to new trends quickly and accurately.

Weve added a layer of tuning software to help businesses be more objective and more certain and original, said Inscribe CEO Ronan Burke.

The Burke brothers created the company after becoming frustrated with the unusually painful process of applying for credit cards and bank accounts once coming to the U.S.

It raised our suspicions of what was going on behind the scenes, Ronan Burke said.

Largely, that comes down to resource constraints and the increasing difficulty of the problem, he said. Many financial services companies have well-honed application processes, but they either have badly written fraud detection software or no such software at all. Added to that is the fact that large institutions are notoriously cagey about sharing their processes, solutions, or internal expertise.

But he underscored the fact that fintechs are beginning to understand the need to collaborate and collectively tackle the problem. There will be increased activity and investment in the space in coming months, he projected, as vendors and companies work together to build better AI tools and share more data about where fraud is occurring and how to identify fraud.

Because ultimately, nearly everyone interacts with financial services companies, Conor Burke pointed out. It is critical to be intelligent about integrating automation while also balancing growth, efficiency, compliance and fraud. Leveraging automation tools as risk accelerates and new types of fraud emerge will help increase protection for everyone and help foster new types of business models that might otherwise stagnate.

More people are doing high risk, high value transactions online, but the same level of trust hasnt been transferred yet, he said. The consideration then isnt only automating fraud detection but trusting it. We really need to adapt our systems to this new reality.

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