Category Archives: Automation

Ahead of the release of the HIMSS APAC CIO report in November, an expert panel at the HIMSS21 APAC Conference discussed problems confronting health CIOs today and shared solutions to resolve them.

The panel comprised Kuroda Tomohiro, CIO and Medical Information Technology and Administration Planning Division Director at Kyoto University Hospital in Japan; Alistair Vickers, CIO at Tu Ora Primary Health Organisation in New Zealand; and HIMSS UK Chief Clinical Officer Dr Charles Alessi.

In the upcoming report, five key trends among health organisations in Asia-Pacific were identified: strengthening cybersecurity; adoption of care delivery models that enable self-management of health and wellness; analytics at the core of organisations' work and processes; reliance on automation; and high digital literacy among the workforce.

Among these trends, health leaders from New Zealand and Japan both said they are prioritising the digital literacy of their workforce.

Kuroda emphasised its relevance in Japan given that most health systems there are "conservative" and that health workers are "too busy" to take in new information. What they did, he said, is to simplify instructions on handling new systems.

Tu Ora moved staff to the cloud and trained them with communication platforms when COVID-19 started spreading globally. "It was just beautifully timed that we were able to help them through that modality of working remotely," Vickers shared.

Meanwhile, he also pointed out that those key trends "interlink" with one another. "If you don't train [staff] properly to use [digital] tools, the chances of cyber incidents increase. If you want to get technology out to patients and help them manage their own health more actively, this [also] concerns data literacy," he explained.

Analytics is also one area where Kyoto University Hospital is focused. Kuroda said they have been trying to implement IoT devices into the hospital's system. Although they are burdened with the cost of deploying such technology, it nonetheless helped with decreasing workload, especially in diagnostics.

On the other hand, Tu Ora is working to collaborate with other stakeholders in New Zealand's health ecosystem to come together and share data to generate major insights that will address major inequities in the country's healthcare system.

In terms of technology, the primary care provider has moved to a centralised data warehouse paradigm hosted on Microsoft Azure while the Japanese university hospital has put in place separate analytics tools for its clinical side and research and epidemiology.

On automation, Vickers shared that they have automated the processes around claims and payments, which has helped ensure quicker and more accurate payments. They are prioritising those areas where automation and analytics can add real value in care delivery.

At the close of the panel discussion, Dr Alessi concluded that across care settings, "the trends are inevitably going to be the same as we move into this multimodal new digital age".

The HIMSS21 APAC Conference took place on 18 and 19 October. All sessions can be accessed on-demand by registeringhere. If you have already registered, log inhere.

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Digital literacy, automation among key priorities of APAC health CIOs - Healthcare IT News

Alan Miller, engineering manager and product manager for Big Kaiser, said in a September 28, 2021 webinar that improvements to collaborative robot systems have opened up automation to a wider array of manufacturers than ever before. Between these cobots and automation-optimized tooling, manufacturers can now automate smaller, specific, repetitive operations with less investment in time and resources. This frees up operators to tackle high-complexity operations that require manual input, while speeding up productivity and improving safety in simpler tasks.

Collaborative robots, or cobots, widen the range of processes compatible with automation. Cobots are designed to work alongside employees, with integrated safety features like force limits automatically stopping the cobots when they meet unexpected resistance. Improved speed control, vision systems and proximity sensors, coding simplicity and increased adaptability also enhance the functionality of these automation solutions.

As part of encouraging the use of cobots, tool manufacturers like Big Kaiser have developed optimized solutions to take advantage of their increased functionality.

The gripper of Big Kaisers Unilock workholding systemis optimized for use with cobots. It was designed to eliminate the tight diameter and spacing control problems of retention knobs, which had prevented automation with earlier generations of zero-point workholding. Images courtesy of Big Kaiser.

Miller points out four applications where Big Kaiser has developed tooling to support the automation revolution: workholding, grinding work driving, cleaning and fine boring.

The companys Unilock workholding solution includes several optimizations specifically for use with automation. Miller says the chuck mounts directly to the machine tool (as well as other places, if needed), with a single reference point for fixtures or loading parts.

Miller also says that traditional zero-point workholding systems with tight diameters and spacing controls on the retention knobs can be difficult for robots to unload. Using a robot on these systems can lead to the workholding devices locking up or not fully coming out.

To combat this, Big Kaiser flipped the system inside out for automation. The chucks from its NSA Series have the clamping systems and tapers on the table Miller compares this to what would be underneath the pallet of a horizontal milling machine. Flat, round pucks go underneath the work pallet, where Miller says they can easily slide on and off to improve the systems compatibility with robots. The system uses a central chuck, but users can attach four additional locator plates to have built-in angular positioning while loading the chuck.

Traditionally, grinding work drivers need to be manually attached to each work piece, so automation would take the form of preassembled parts with attached work drivers. Miller says Big Kaisers line of mechanically actuated grinding work drivers instead uses spindle rotation to lock and unlock the drive, with adjustable jaws swinging into place and grabbing onto the workpiece.

Cobots are more compatible with this mechanically activated system, and can facilitate automated loading and unloading of small shafts. If the cobot runs into any problems, rather than proceeding to cause damage like a traditional robot, it stops and waits for an operator to assess the issue.

Keeping the work area clean is critical to successful automation project, Miller says. Big Kaiser recommends two ways to automate this task: the chip fan and the chip blower. The chip fan is a fixed and balanced blade fan with a small, 125-mm diameter that requires high spindle speeds to be effective, while the chip blower is a folding blade fan that covers more area at lower speeds making it suitable for larger machines and tables.

The EWA fine boring head offers automated adjustments and cutting insert wear compensation. The level of automation can be set to the users comfort, from adjustments to user-input values to fully automated boring from the machine tool control.

New opportunities for automation are not limited to cobot-optimized workholding. Miller says Big Kaiser wants to enable full automation of the fine boring process.

Removing the need for manual adjustment could reduce cycle times and the risk of human error while also improving operator safety. The companys EWA line of finish boring heads, scheduled for release in early 2022, moves toward this goal with an internal motor for automatic tool carrier adjustments, an internal actuator for clamping the tool carrier, and Bluetooth to communicate with external devices.

Automatic cutting insert wear compensation features adjust the boring tool for potential wear compensation based on measurements from the machine touch probe and bore gauge. Automatic adjustments can also enable a single tool to bore multiple hole sizes.

Bluetooth connectivity enables differing levels of automation, depending on the users comfort. Similarly to the EWE, the EWA can connect to users smartphones and tablets. In this situation, the machine operator inputs adjustment values in the app, then the tool adjusts automatically to the set value. This keeps the operators knowledge of fine boring in play, while still benefiting from the automated adjustments safety and tooling benefits.

Connection to an external computer that is itself connected to the machine enables the boring heads probe to transfer measurements to the computer. From here, the computer can command the EWA boring head for adjustments. This system automates the boring head, while still keeping it separate from the machine tool control.

Direct connection with the machine uses Bluetooth to enable the machine to control the EWA boring heads adjustments. Miller says Big Kaiser is actively working with companies to develop in-machine apps that improve compatibility with this automation method.

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Putting Production on Repeat with Machine Tool Automation - Modern Machine Shop

APM operates terminals including Port Elizabeth, New Jersey (APM)

PublishedOct 22, 2021 3:44 PM byThe Maritime Executive

APM Terminals, which operates terminals in 76 ports worldwide, announced that it is forming a strategic alliance with Chinas ZPMC (Shanghai Zhenhua Heavy Industries Company) focusing on the joint development and deployment of a wide range of automated solutions, including automated container handling equipment.

APM, which is part of A.P. Moller Maersk operating terminals in major ports including Los Angeles and the Port of NY/NJ, said the alliance will change equipment purchasing from a purely transactional process to a more strategic collaboration with a strong focus on automation.

With this alliance, we are leveraging our 23 year-long relationship more effectively, in which APM Terminals demonstrates strong commitment towards ZPMC and in return receives prioritization of factory capacity, access to the best resources, active involvement in product development according to our needs and a commitment to maintain the relationship on a long-term basis, said APM Terminals CEO Morten Engelstoft.

APM believes that the common industry practice of transactional customer-supplier relationships has proven less effective in complex automation deployments that require a more integrated approach with the supplier.

ZPMCs automated equipment is already in operation in several of APM Terminals facilities, including at Vado Ligure (Italy), Lazaro Cardenas (Mexico), and its latest automated terminal in Tangier (Morocco). Most recently, the company is also running a pilot with ZPMCs Automated Straddle Carriers in its Aarhus (Denmark) location.

The agreement also includes an order for 18 Ship-to-Shore (STS) Cranes and nine Yard cranes across six terminals and the reservation of production slots for additional 25 STS cranes and 62 Yard cranes in the future.

As well as the automation focus, the companies also expect the new framework to create closer collaboration in areas like safety, supply chain, and decarbonization.

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APM Terminals Forms Alliance with China's ZPMC for Terminal Automation - The Maritime Executive

Latest update report on Automation Software Market Size, Share, Growth, Industry Trends and Forecast by 2028. This report is highly predictive as it holds the overall market analysis of the topmost companies into the Automation Software industry. With the classified Automation Software market research based on various growing regions, this report provides leading players portfolio along with sales, growth, market share and so on. The Market research report on Automation Software has integrated the analysis of different factors that boost the Automation Software markets growth. It establishes trends, restraints and drivers that transform the Automation Software market in either a positive or negative manner. The detailed information is based on current Automation Software market trends and historic achievements.

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Unlock new opportunities in Automation Software Market; the latest release from Market IntelliX highlights the key market trends significant to the growth prospects, Let us know if any specific players or list of players needs to consider to gain better insights

Briefing about some major insights that are included in the study are Automation Software Sales (K Units) and Revenue (Million USD), definitions, classifications, applications, and industry overview; market policies and strategy; product specifications; manufacturing processes; cost structures and so on. Also, it provides key players market position, including the product price, cost/profit, capacity, production, capacity utilization, supply, demand, and industry growth rate, etc. Additionally, the report also covers special sections such as new project SWOT analysis, investment feasibility analysis, and investment return analysis.

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The growth of the market has been attributed to demand in application/end-users such as:

By Application (BFSI, IT & Telecoms, Retail & Consumer Goods, Travel & Hospitality, Healthcare & Life Sciences, Education, Media & Entretainment, Manufacturing, Others)

The growth of the market has been attributed to demand in product/types such as:

By Type (On-premises, Cloud & Others)

Furthermore, the research is geographically segmented as North America United States, Canada, Mexico, Europe, Germany, UK, France, Italy, Spain, Russia, Others, Asia-Pacific, China, Japan, South Korea, Australia, India, Southeast Asia, Others, Middle East and Africa, Saudi Arabia, UAE, Egypt, Nigeria, South Africa, Others, South America, Brazil, Argentina, Columbia, Chile & Others

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Complete Report is Available (Including Full TOC, List of Tables & Figures, Graphs, and Chart) @ https://www.marketintellix.com/report/global-automation-software-market-146870

Key questions answered in this report Automation Software Market Size, Status and Forecast 2028

What will the market size be in 2028 and what will the growth rate?

What are the key market trends?

What is driving Automation Software Market?

What are the challenges to market growth?

Who are the key vendors in the market space?

What are the key market trends impacting the growth of the Automation Software Market?

What are the key outcomes of the five forces analysis of the Automation Software Market?

What are the market opportunities and threats faced by the vendors in the Automation Software market? Get in-depth details about factors influencing the market shares of the Americas, APAC, and EMEA?

There are 19 Chapters to deeply display the Automation Software market.

Introduction about Automation Software

Automation Software Market Size (Sales) Market Share by Type (Product Category) in 2017

Automation Software Market by Application/End Users

Automation Software Sales (Volume) and Market Share Comparison by Applications

(2013-2028) the table defined for each application/end-users

Automation Software Sales and Growth Rate (2013-2028)

Automation Software Competition by Players/Suppliers, Region, Type and Application

Automation Software (Volume, Value and Sales Price) table defined for each geographic region defined.

Automation Software Players/Suppliers Profiles and Sales Data

Additionally, Company Basic Information, Manufacturing Base and Competitors list is being provided for each listed manufacturer

Market Sales, Revenue, Price and Gross Margin (2013-2021) table for each product type.

Automation Software Manufacturing Cost Analysis

Automation Software Key Raw Materials Analysis

Automation Software Chain, Sourcing Strategy and Downstream Buyers, Industrial Chain Analysis

Market Forecast (2021-2028)

. and more in complete table of Contents

Thanks for reading this article; you can also get an individual chapter-wise section or region-wise report versions like North America, LATAM, Europe or Southeast Asia.

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Automation Software Market Growth with Worldwide Industry Analysis Up to 2026 Puck77 - Puck77

An Airbnb security expert outlines how automation, AI and machine learning can support a security strategy, and where humans play a role.

Artificial intelligence, machine learning and automation are finding a warm welcome when utilized for IT security. Yet, that doesnt mean humans are being kicked to the curb.

Rather, enterprise security managers need to understand the different roles that can be played by AI and by people. Each entity is good at certain tasks, but not so strong on others. That message came through in a presentation by Vijaya Kaza, chief security officer and head of engineering and data science for trust and safety at Airbnb. She recently spoke during Sumo Logics Illuminate conference.

For starters, managers must acknowledge the challenge presented to security teams by todays torrent of data and online activity in any enterprise. Companies cannot overcome that issue without the help of automation, according to Kaza. She noted that AI and machine learning are crucial to doing the basics

From my own practical experience, I can tell you that outside of all the hype and the excitement around these solutions, getting the basics right and getting the basics at scale is really top of mind when it comes to automation in this urgent and important matrix that is certainly top of my list.

Those basics include tasks such as patch management, vulnerability management. Basic security hygiene is not necessarily the most exciting thing, but it is so important, said Kaza.

Automation contributes in several ways, according to Kaza. Its a way to ensure quality and consistency and to avoid human errors. For example, automated templates and hardened configurations provide guidance when setting up new environments.

Citing another use case, Kaza outlined how smart automation is valuable in enhancing user experience as a way to improve security posture. Getting access controls right from the start can help end users or IT staff work efficiently, work within security guidelines, and stay happy while still protecting systems.

It isnt easy to employ security automation for security, said Kaza when asked about automations challenges. She mentioned the 3 Ts of time, talent, and technology. However, she added that culture getting people to accept automation and security and process also are important.

Automation, if you think about it, really works well when you have the underlying workflow or process nailed really well. Then you are just using automation to codify some of those practices so you are being more efficient, she said.

Take the example of patching. If theres a culture in which development teams dont patch on a regular basis, theres no point in automating things like ticket generation. So, patching when its needed helps support security goals.

Where does the job of automation end and the role of humans start?

Experts advocate for end-to-end automation, but that can turn into a monumental task, particularly if elements such as legacy systems are in play, said Kaza. A more reasonable approach is to automate certain parts of the workflow but keep human intervention in the process.

She noted the example of robotic process automation. If a company has specific rules about system configuration automation may detect that a user is running an out of date operating system and issue an alert. Then the mitigation would be left to humans. Were several years away from taking the human out of the look completely, she said.

Besides the challenge of balancing the roles of people and automation, there are other hurdles that organizations face when it comes to scaling AI and machine learning. One is the data, particularly the data sets used to train ML. Then, there is the issue of system and infrastructure performance.

AI is being used extensively in security today for supervised machine learning applications. Systems are being trained for tasks such as threat detection, anomaly detection, and asset discovery. Unsupervised learning is being used to detect certain patterns that may signal issues such as bots. Not requiring training data, unsupervised ML focuses on clustering common data points.

The technology behind machine learning isnt the complication, but its complicated to get it implemented at scale, able to scale over time, said Kaza, citing the need to minimize false positives. Thats where companies need access to large amounts of training data, and data quality remains a challenge. Its difficult to identify a single point of truth, she said.

Then there is the challenge of providing the horsepower to detect security problems in real time. That requires a strong data science and data engineering practice, as well as investing in the right underlying infrastructure.

Many of the threats that organizations worry about need real-time detection, which demands high performance and low latency. Simply, most threats dont wait.

Looking to the future and the balance of humans and automation, Kaza said:

Imagine a future where you have the AI brain sitting in the center of your security operations, if you will. Its watching of your environments, the data the flows, the users, the assets, and really understanding the big picture of whats happening and learning it on its own. And if something changes that AI brain could immediately give you the recommendations proactively to say heres how you can do this.

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The Automation-Human Balance Takes Shape in Security - RTInsights

DUBLIN, Oct. 22, 2021 /PRNewswire/ -- The "Food Automation Market Research Report by Function, Type, Application, and Region - Global Forecast to 2026 - Cumulative Impact of COVID-19" report has been added to ResearchAndMarkets.com's offering.

The Global Food Automation Market size was estimated at USD 19.88 billion in 2020, is expected to reach USD 21.95 billion in 2021, and projected to grow at a CAGR of 10.75% reaching USD 36.70 billion by 2026.

Market Statistics

The report provides market sizing and forecast across five major currencies - USD, EUR GBP, JPY, and AUD. It helps organization leaders make better decisions when currency exchange data is readily available. In this report, the years 2018 and 2019 are considered historical years, 2020 as the base year, 2021 as the estimated year, and years from 2022 to 2026 are considered the forecast period.

Competitive Strategic Window

The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies to help the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. It describes the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth during a forecast period.

FPNV Positioning Matrix

The FPNV Positioning Matrix evaluates and categorizes the vendors in the Food Automation Market based on Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understanding the competitive landscape.

Market Share Analysis

The Market Share Analysis offers the analysis of vendors considering their contribution to the overall market. It provides the idea of its revenue generation into the overall market compared to other vendors in the space. It provides insights into how vendors are performing in terms of revenue generation and customer base compared to others. Knowing market share offers an idea of the size and competitiveness of the vendors for the base year. It reveals the market characteristics in terms of accumulation, fragmentation, dominance, and amalgamation traits.

Competitive Scenario

The Competitive Scenario provides an outlook analysis of the various business growth strategies adopted by the vendors. The news covered in this section deliver valuable thoughts at the different stage while keeping up-to-date with the business and engage stakeholders in the economic debate. The competitive scenario represents press releases or news of the companies categorized into Merger & Acquisition, Agreement, Collaboration, & Partnership, New Product Launch & Enhancement, Investment & Funding, and Award, Recognition, & Expansion. All the news collected help vendor to understand the gaps in the marketplace and competitor's strength and weakness thereby, providing insights to enhance product and service.

Company Usability Profiles

The report profoundly explores the recent significant developments by the leading vendors and innovation profiles in the Global Food Automation Market, including ABB Ltd, Ametek Inc., Destaco, Eaton Corporation PLC, Emerson Electric Co., Falcon Autotech Pvt. Ltd., Fanuc Corporation, Festo AG & Co. Kg, Flexicell, Inc., Food Automation Pty. Ltd., Fortive Corporation, GEA Group, JLS Automation, Kuka AG, Mayekawa Mfg. Co., Ltd., Mitsubishi Electric Corporation, Neologic Engineers Private Limited, ProLeit AG, Rexnord Corporation, Rockwell Automation, Inc., Scandinova Systems Ab, Schneider Electric SE, Siemens AG, Yaskawa Electric Corporation, and Yokogawa Electric Corporation.

The report provides insights on the following pointers:1. Market Penetration: Provides comprehensive information on the market offered by the key players2. Market Development: Provides in-depth information about lucrative emerging markets and analyze penetration across mature segments of the markets3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, certification, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and breakthrough product developments

The report answers questions such as:1. What is the market size and forecast of the Global Food Automation Market?2. What are the inhibiting factors and impact of COVID-19 shaping the Global Food Automation Market during the forecast period?3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global Food Automation Market?4. What is the competitive strategic window for opportunities in the Global Food Automation Market?5. What are the technology trends and regulatory frameworks in the Global Food Automation Market?6. What is the market share of the leading vendors in the Global Food Automation Market?7. What modes and strategic moves are considered suitable for entering the Global Food Automation Market?

Key Topics Covered:

1. Preface

2. Research Methodology

3. Executive Summary

4. Market Overview4.1. Introduction4.2. Cumulative Impact of COVID-19

5. Market Dynamics5.1. Introduction5.2. Drivers5.2.1. Rising adoption of automation in the food and beverage industry5.2.2. Growing food safety regulations 5.2.3. Developing advanced systems and machines with high efficiency and productivity5.3. Restraints5.3.1. High initial capital investment to install automated machinery5.4. Opportunities5.4.1. Emergence of automated systems for packaging and logistics operations 5.4.2. Potential growth in the emerging economies 5.5. Challenges5.5.1. Complexity in training and managing labors

6. Food Automation Market, by Function6.1. Introduction6.2. Packaging & Re-Packaging6.3. Palletizing6.4. Picking & Placing6.5. Processing6.6. Sorting & Grading

7. Food Automation Market, by Type7.1. Introduction7.2. Discrete Controller Systems & Visualization7.3. Motor Controls7.4. Motors & Generators7.5. Rotary & Linear Products

8. Food Automation Market, by Application8.1. Introduction8.2. Bakery & Confectionery8.3. Beverages8.4. Dairy Products8.5. Fruits & Vegetables8.6. Meat, Poultry & Seafood

9. Americas Food Automation Market9.1. Introduction9.2. Argentina9.3. Brazil9.4. Canada9.5. Mexico9.6. United States

10. Asia-Pacific Food Automation Market10.1. Introduction10.2. Australia10.3. China10.4. India10.5. Indonesia10.6. Japan10.7. Malaysia10.8. Philippines10.9. Singapore10.10. South Korea10.11. Taiwan10.12. Thailand

11. Europe, Middle East & Africa Food Automation Market11.1. Introduction11.2. France11.3. Germany11.4. Italy11.5. Netherlands11.6. Qatar11.7. Russia11.8. Saudi Arabia11.9. South Africa11.10. Spain11.11. United Arab Emirates11.12. United Kingdom

12. Competitive Landscape12.1. FPNV Positioning Matrix12.1.1. Quadrants12.1.2. Business Strategy12.1.3. Product Satisfaction12.2. Market Ranking Analysis12.3. Market Share Analysis, by Key Player12.4. Competitive Scenario12.4.1. Merger & Acquisition12.4.2. Agreement, Collaboration, & Partnership12.4.3. New Product Launch & Enhancement12.4.4. Investment & Funding12.4.5. Award, Recognition, & Expansion

13. Company Usability Profiles13.1. ABB Ltd.13.2. Ametek Inc.13.3. Destaco13.4. Eaton Corporation PLC13.5. Emerson Electric Co.13.6. Falcon Autotech Pvt. Ltd.13.7. Fanuc Corporation13.8. Festo AG & Co. Kg13.9. Flexicell, Inc.13.10. Food Automation Pty. Ltd.13.11. Fortive Corporation13.12. GEA Group13.13. JLS Automation13.14. Kuka AG13.15. Mayekawa Mfg. Co., Ltd.13.16. Mitsubishi Electric Corporation13.17. Neologic Engineers Private Limited13.18. ProLeit AG13.19. Rexnord Corporation13.20. Rockwell Automation, Inc.13.21. Scandinova Systems Ab13.22. Schneider Electric SE13.23. Siemens AG13.24. Yaskawa Electric Corporation13.25. Yokogawa Electric Corporation

14. Appendix

For more information about this report visit https://www.researchandmarkets.com/r/kiirr8

Media Contact:

Research and Markets Laura Wood, Senior Manager [emailprotected]

For E.S.T Office Hours Call +1-917-300-0470 For U.S./CAN Toll Free Call +1-800-526-8630 For GMT Office Hours Call +353-1-416-8900

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Global Food Automation Market Research Report (2021 to 2026) - by Function, Type, Application and Region - PRNewswire

DUBLIN, October 19, 2021--(BUSINESS WIRE)--The "Terminal Automation Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2021-2026" report has been added to ResearchAndMarkets.com's offering.

The global terminal automation market reached a value of US$ 4.2 Billion in 2020. Looking forward, the market is expected to grow at a CAGR of around 6% during 2021-2026.

Companies Mentioned

ABB Ltd

Emerson Electric Co.

Endress+Hauser AG

General Electric Company

Honeywell Process Solutions (Honeywell Automation and Control Solutions)

Larsen & Toubro Limited

Rockwell Automation Inc.

Schneider Electric SE

Siemens Aktiengesellschaft

TechnipFMC PLC

Yokogawa Electric Corporation.

Keeping in mind the uncertainties of COVID-19, the analyst is continuously tracking and evaluating the direct as well as the indirect influence of the pandemic on different end use industries. These insights are included in the report as a major market contributor.

Terminal automation refers to the process of automating various control functions of equipment or machinery in a warehouse or manufacturing unit. A terminal is a storage facility for oil, gas, chemicals and other products that need to be transported to the point of sale (POS). Terminal automation systems (TAS) consist of various mechanical, hydraulic, pneumatic, electronic and computerized systems to control equipment and processes. They offer centralized and systematic control over the entire product handling process, which involves bulk loading, receiving, reconciling, storing and distributing products. They provide various other benefits, such as reduced operational and maintenance costs, improved productivity and enhanced security of assets and human resources.

Significant growth in the oil and gas industry, along with increasing industrial automation, is one of the key factors creating a positive impact on the market. Terminal operators are utilizing automated systems that improve the productivity and efficiency of the terminal by handling larger vessels with greater holding capacities. In line with this, widespread adoption of terminals for blending, storing and handling biofuels is stimulating the market growth. Additionally, the development of technologically advanced automation solutions and the integration of the Industrial Internet of Things (IIoT) and cloud-computing, are acting as other growth-inducing factors. These solutions offer improved support and monitoring of remote sites, cloud-based tracking, smart event processing and administration of unmanned operations. Other factors, including the increasing investments to upgrade existing terminals, especially in developing countries, along with the growing adoption of wireless technologies, are anticipated to drive the market further.

Story continues

Key Questions Answered in This Report

How has the global terminal automation market performed so far and how will it perform in the coming years?

What has been the impact of COVID-19 on the global terminal automation market?

What are the key regional markets?

What is the breakup of the market based on the offering?

What is the breakup of the market based on the project type?

What is the breakup of the market based on the vertical?

What are the various stages in the value chain of the industry?

What are the key driving factors and challenges in the industry?

What is the structure of the global terminal automation market and who are the key players?

What is the degree of competition in the industry?

Key Topics Covered:

1 Preface

2 Scope and Methodology

3 Executive Summary

4 Introduction

4.1 Overview

4.2 Key Industry Trends

5 Global Terminal Automation Market

5.1 Market Overview

5.2 Market Performance

5.3 Impact of COVID-19

5.4 Market Forecast

6 Market Breakup by Offering

7 Market Breakup by Project Type

8 Market Breakup by Vertical

9 Market Breakup by Region

10 SWOT Analysis

11 Value Chain Analysis

12 Porters Five Forces Analysis

13 Price Analysis

14 Competitive Landscape

14.1 Market Structure

14.2 Key Players

14.3 Profiles of Key Players

For more information about this report visit https://www.researchandmarkets.com/r/yqanot

View source version on businesswire.com: https://www.businesswire.com/news/home/20211019005929/en/

Contacts

ResearchAndMarkets.comLaura Wood, Senior Press Managerpress@researchandmarkets.com

For E.S.T Office Hours Call 1-917-300-0470For U.S./CAN Toll Free Call 1-800-526-8630For GMT Office Hours Call +353-1-416-8900

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Outlook on the Terminal Automation Global Market to 2026 - by Offering, Project Type, Vertical and Region - ResearchAndMarkets.com - Yahoo Finance

By the end of 2020, an estimated six out of 10 businesses had already moved their workloads to the cloud, spurred to action by the COVID-19 pandemic. As IT investment continues to rebound through the pandemic, this figure will likely keep growing.

Yet despite the growing use of enterprise cloud, too many organizations continue to make basic, avoidable errors in their cloud migrations. These inevitably lead to spiraling costs, delays, a lack of alignment and mismatched levels of maturity across organizational units. A 2019 Fortinet study found that, after failing to achieve anticipated returns, 74 percent of companies have repatriated applications back on-premises after initially migrating them to the cloud a mind-boggling, avoidable waste of both budgets and employee time.

Why does this happen? In my experience, IT decision-makers planning a cloud migration often believe that there are only two routes available to them. They think they can either move quickly, with minimal changes thereby saving money but sacrificing on precision and not taking advantage of the benefits cloud can provide. Or they think that their team can undertake a painstaking, resource-intensive planning and development process to modernize all their apps as they migrate. This route leads to better outcomes but is prohibitively slow and costly.

But these are not the only two options that are available. Enterprises can also look to harness the power of AI and automation, giving decision-makers the best of both worlds while maximizing efficiency and outcomes.

Heres how:

Use AI to Discover Unknown Unknowns

Cloud migrations are notoriously complex. If you combine all instance types, storage options, availability zones and pricing plans from the major cloud vendors, there are currently more than 25 million available cloud configuration options. Not surprisingly, this makes the planning phase of a cloud migration a torturous process. AI can help organizations understand the complexity, anticipate potential pain points and avoid unexpected costs thereby eliminating or at least significantly reducing delays and downtime.

Typically, AI-based cloud migration applications map thousands of data points from a customers environment, and correlate them to an optimum migration pattern. This task would take an experienced cloud expert weeks to complete, but can be executed by an algorithm in minutes. Even better, the AI gets smarter with each cloud migration, as it uses historical data to inform its conclusions.

Whats more, unlike a human cloud migration team, AI has fewer inherent biases and a flawless memory, helping migration teams maintain objectivity and consistency in their decision-making.

AI and ML tools can have the greatest impact in the planning phase of a cloud migration. If applied intelligently, they can be invaluable in ensuring your migration runbook is as accurate and precise as possible.

Be Mindful of Potential Drawbacks

AI is not a panacea at least not yet. The risk of relying too heavily on AI and ML tools when planning your cloud migration is that they might miss some important nuances. For instance, the unique quirks of an organizations culture, the subtleties of its wider business objectives and fast-moving external market factors will not be picked up by AI or ML tools.

That is why it is important to always have an experienced cloud engineer involved in your migration project. AI and ML can certainly act as a guide, but a skilled team will bring the needed creativity and vitally important real-life experiences that are also part of the work.

Post-Migration: Uncover Modernization Opportunities with Automation

When organizations migrate applications to the cloud, too often we see decision-makers adopting a set it and forget it mentality. This inevitably leads to resource mismanagement and over-provisioning, which negatively affects performance and ultimately can leave organizations spending more money than needed. Security and compliance gaps can also easily go undetected, leaving systems open to cyber-attacks and potential regulatory breaches.

As your organization continuously evolves to meet the changing demands of todays world, your cloud infrastructure should also follow and evolve. AI and automation can help by monitoring your cloud estate in real-time and providing intelligent modernization and innovation recommendations, allowing you to best leverage the technologies at your disposal and gain competitive advantage in the market.

Overall, despite what many organizations initially assume, a lot of the challenges of cloud adoption are not technical. Instead, the real test is deciding on the right route to take for your migration. Using all the tools at your disposal including AI and ML-based platforms, along with a savvy team of experts gives you the greatest chance of success.

About the Author

Rob Duffy of Cloudreach

Rob Duffy is thehead of solution developmentat Cloudreach. Drawing on more than 25 years of experience working at the forefront of enterprise infrastructure and cloud services, he has responsibility for all aspects of the company's cloud migration solutions. He previously served as director of strategic cloud services at Ricoh, and has held leadership roles at Dell, EMC and mindSHIFT Technologies.

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Improve Business-Critical Enterprise Cloud Migrations By Integrating AI and Automation - EnterpriseAI

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Medical Automation Market Business Analysis 2021 By Cagr, Share, Revenue And Prominent Key Players To 2030 Puck77 - Puck77

iNDICA NEWS BUREAU-

US-based Ivanti, an automation platform that discovers, manages, secures, and services IT assets from cloud to edge, is all set to aggressively in India, including tripling its head count in Hyderabad over the next 18-24 months.

As of now, the company has nearly 500 employees in India. With this new drive it aims to increase its head count to 2,000 in two years, a large part of which will be for Hyderabad operations.

At this time last year, the company had less than 100 employees in India and has acquired four companies that were synergistic to the overall product and solutions offerings.

The company has acquired MobileIron, a provider of mobile-centric unified endpoint management solutions; Pulse Secure, a provider of secure access and mobile security solutions; Cherwell Software, an enterprise service management solutions company, and RiskSense, a pioneer in risk-based vulnerability management systems.

Nayaki Nayyar, president, Service Management Solutions Group and chief product officer, Ivanti, said, Our recent acquisitions have been in sync with our inorganic growth plans. We are at the inflection point in the companys business cycle, when we realized that to better serve our customers it is essential to have a larger bouquet of products and solutions, so that we are in the consideration set of large enterprises.

She added, Simultaneously, by integrating all the newly acquired companies employees, we are creating One Ivanti identity. All employees are collaborating to create a cohesive work environment.

Ivantis UEM platform increases user and IT productivity by helping IT administrators gather detailed device data, automate software and OS deployments, personalize workspace environments, and proactively fix end-user issues.

It simplifies management through a single pane of glass with the Ivanti Neurons console and delivers automation across a broad range of devices, including Windows, Mac, ChromeOS, Linux, Unix, iOS, Android and IoT devices.

Srinivas Mukkamala, SVP of Security Products, Ivanti said, Our new offerings for the hybrid work environment will enable businesses to run seamlessly while reducing the risk of data breaches and simultaneously enhancing employee experiences. There are immense opportunities ahead of us, and Im optimistic about the future of Everywhere Workplace.

Over 40,000 customers, including 78 of the Fortune 100, have chosen Ivanti to discover, manage, secure, and service their IT assets from cloud to edge.

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Ivanti, a US-based automation platform plans to double its operations in India - indica News