Category Archives: Automation

MarketResearch.biz, in its upcoming report titled, Global Color Detection Sensors Market Trends, Applications, Analysis, Growth, and Forecast to 2027, offers in-depth insights, revenue details, and other vital information regarding the global color detection sensors market and the various trends, drivers, restraints, opportunities, and threats in the target market till 2027. The report also offers insightful and detailed information regarding the various key players operating in the global color detection systems market, and their financials, apart from strategies, acquisitions & mergers, and market footprint. The global color detection sensors market is segmented on basis of product type, end-user, industry vertical, and region.

Color detection sensors are photoelectric sensors that provide light sensing for accurate color measurement, determination, and discrimination. These sensors offer reliable solutions to difficult and complex automation challenges. Color detection sensors are used for various purposes such as component detection, verifying steps in manufacturing processes, distinguishing color marks on parts, product packaging, and monitoring color of adhesive tapes. The two color sensing systems available are reflective and transmissive.

A major factor driving growth of the global color detection sensors market is increasing adoption for automation of different processes across various industries. Increasing demand for color detection sensors from end-user industries such as food & beverages, packaging, petrochemicals, textile etc., owing to their cost effectiveness, customization, and easy replacement of sensors is further driving growth of the global color detection sensors markets. Color detection sensors are also used for observing uniformity of colors during production of textiles and in industrial painting processes. Color detection sensors are commonly used in smartphones and tablets to analyze RGB components of ambient light for image tuning and automatic backlight dimming.

A major factor hampering growth of the global color detection sensors market is inaccuracy of sensors to differentiate between almost similar shades of colors and in such cases, organizations are opting for manual processes. High implementation and maintenance costs required for color detection sensor systems is an obstacle for adoption in small scale enterprises.

Europe dominates the market in terms of revenue generation and is expected to maintain its dominance during the forecast period, owing to presence of a large number of color detection sensors vendors in the market in Europe. Asia Pacific is expected to register a CAGR and high growth rate in terms of revenue generation during the forecast period. This growth is attributed to increasing number of manufacturing units and rising adoption of sensors for automation.

Global Color Detection Sensors Market Segmentation:

Global color detection sensors market segmentation by product type:

Color sensingRGB sensorsLuminescence sensorsContrast sensorsBrightness sensorsOthers

Global color detection sensors market segmentation by end-user:

HealthcarePrintingConsumer electronicsLighting and signageIndustrial automationFluid analysis

Global color detection sensors market segmentation by industry vertical:

AutomotiveFood & beveragePackagingTextilesPharmaceuticalProduction unit automationChemicalLighting & signage

Global color detection sensors market segmentation by region:

North AmericaEuropeAsia PacificLatin AmericaMiddle East & Africa

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Key Players:

SICK AGBanner Engineering Corp.Rockwell AutomationSensoPart Inc.ifm electronic GmbHHamamatsu photonics K.K.Pepperl+Fuchs GmbHOmron CorporationAtlas Scientific LLCKeyence Corporation

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Color Detection Sensors Market Driven By Increasing Adoption For Automation Of Different Processes Across Various Industries - Taiwan News

In this interview with Help Net Security, Daniel Clayton, VP Global Security Services and Support at Bitdefender, talks about the cybersecurity skills shortage gap and the role of automation in improving the work of cybersecurity professionals.

I think the realization is relatively widespread today. High profile attacks over the last five years put cyber on the boardroom agenda and ensured enterprises are paying attention to security and Security Operations Centers (SOCs). This is why services like MDR are growing so fast. If we look at investments in technology driving automation across SOCs, its still a relatively new concept and tends to be bolted on later to solve for scale, so enterprise budget holders are less invested than security teams are.

The teams that are building and delivering security operations or outsourcing MDR, understand the huge role automation plays because they live it every day. Yet, we still see organizations applying a traditional model of building something manual and reliant on research and then plugging in automation as needed. Thats just where we are as an industry and thats how most enterprises with security teams approach the automation process. Teams need to start implementing on top of automation from the start; if you build for automation first, you can build for things that you didnt even know you could automate.

Effective threat hunting and incident response are reliant on informed decision-making about what has happened, what is happening now and what is most likely to happen next. Decision-making is reliant on context and context comes from multiple sources (telemetry, threat intel, knowledge bases etc.) and getting it in front of the analyst fast enough for he/she to make an informed decision. That is what automation can help solve.

We as security teams know were going to be attacked. The nature and scale of looming attacks are out of our control, but what we can control is how readily equipped our security teams are to respond. We can quickly apply the knowledge of the environment (what tech do we have? what tools do we have running?, etc.) our knowledge of the attacker (the way they operate, the tactics, techniques and procedures they use, etc.) and discern what bad actors objectives are, whats their intent, their likely course of action and what are they ultimately trying to achieve. Then we can make an informed decision about response actions that we can take to defeat the attack.

The same goes for the benefits of automation when it comes to threat hunting. Modern security organizations can automate that backend legwork so analysts can spend less time triaging cases and more time honing that experience, expertise and intuition needed to develop relevant hypothesis about potential attacks and deliver hunts that prove or disprove those hypothesis.

The human element is the decision making engine behind what we do and the automation provides the timely delivery of context to quickly and effectively do it well. The value in automation comes when leveraged in tandem with human expertise, not a dilution of one over the other.

What automation does is drive more information and context to the analysts/cybersecurity professionals to augment their work, but its the circumventing of knowledge that the analysts bring to the table that cant be replicated by technology tools. These tools automate enrichment which is provides the analysts with the context of the environment, but does not replace the need for the human intuition that you get when you combine experience and expertise. It is intuition that enables analyst to detect and respond to activity that tools just dont see.

My view of the skill shortage is not that there are a shortage of people, its a problem with a shortage of experienced experts out there that can do the job needed in todays threat landscape. This might not be a popular opinion in the market, but in my experience, theres a wide margin of difference between analysts on paper and analysts that can be productive in a modern security operation.

Automation is not the answer to the cybersecurity professionals shortage gap, but it can deal with much of the lower skilled repeatable work to enable analysts to focus on the tasks set them apart from technology-driven solutions.

Take security out from under the IT organization. If you lump security into the IT organization, then security becomes IT work and thats not what it is. All too often I see organizations that have system administrators that have minimal security experience or ambition, yet they find themselves leading security teams. Dont hire IT professionals only to turn them into security professionals by default. Security needs to be treated as a career path not a job.

Rethink the role of analysts. An analyst traditionally looks at data post-event and makes recommendations about what should be done moving forward to prevent incidents. But thats not the role anymore they are cyberwarfare operators. They work in real time, triaging complex security environments that require analysts to know their field, know their environment and have the confidence to make decisions. As an industry, we need to have a more clear delineation between various analyst roles theres a difference between an analyst that works in a SOC versus a vulnerability or forensic analyst.

Diversity. The conversations taking place around diversity, equity and inclusion are industry agnostic. But, specifically within the cybersecurity field, its an area that needs more attention. As an industry we need to do a better job of appealing to women in cyber and tech roles at large in order to challenge the status quo.

Career management. A frustration I frequently see and hear is around a common misconception that analysts chase money. That may be true sometimes, but mostly if you dont manage your teams career then they will manage their own. If you cant present your team with a clear upward trajectory for their career paths, and confidence that as an organization, youre building career momentum for them within your organization, then they will move on. Oftentimes, the people I hear complain about the career shortage gap arent providing basic fundamentals around career and people management thats expected from an employee base.

Invest in education and training. One of the main areas we focus on during the hiring stage and early career development are: aptitude and ability to think like an analyst. Moreover, can an analyst think from the perspective of a potential attacker? Having that natural aptitude is almost something you cant teach, but with this in mind we invest in education models and build employee training that cater to exactly what we need from them in these roles. Were transparent in expectations and provide this education throughout their entire career.

This is a fast moving, disruptive industry clouds, microservices, etc. all of these technology platforms bring with them risks that can be exploited by bad actors. It is critical that our teams know these platforms as well as the bad guys do and understand the vulnerabilities associated whether inherently or in the way they are deployed across the customers environment. And that wont happen without frequent training in the newest technologies.

Even with a highly skilled team, in just two years time that team will be outdated and no longer applicable to the threat landscape and cybersecurity environment. Making team members better than they were when they arrived, not only makes us better, but drives retention and leaves you with high quality people at a price lower than if you hired from the street, or worse, from another company.

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Automation is not here to close the cybersecurity skills shortage gap, but it can help - Help Net Security

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

Redding, California, Sept. 22, 2021 (GLOBE NEWSWIRE) -- According to a new market research report titled, Industrial Automation Market by Component (Plant-level Controls, Enterprise-level Controls, Plant Instrumentation), Mode of Automation (Semi-automatic, Fully-automatic), and End User and Geography Global Forecast to 2027, published by Meticulous Research, the industrial automation market is expected to register a CAGR of 9.3% from 2020 to 2027 to reach $306.2 billion by 2027.

Download Free Sample Report Now @ https://www.meticulousresearch.com/download-sample-report/cp_id=5172

Industrial automation can be defined as using automation technologies and control devices that automate the operation & control of industrial processes. Industrial automation uses control systems and equipment, such as computer software and robots. It uses control systems, management solutions, and IT solutions & technologies to handle various processes in industries to achieve efficiency and productivity.

The industrial automation market is growing rapidly due to the high adoption of automation solutions in the manufacturing, oil & gas, chemicals & materials, and pharmaceutical sectors. Manufacturing companies are increasingly investing in industrial automation technologies to improve system reliability & efficiency and eliminate production errors caused by human labor. With the implementation of automation components such as sensors, robots, machine vision systems, and enterprise control solutions, companies can significantly reduce operating and labor costs.

However, the limited availability of skilled labor required to operate these systems is a major challenge for the markets growth in emerging economies.

Story continues

The Impact of COVID-19 on the Industrial Automation Market

The outbreak of the COVID-19 pandemic led to a widespread economic downturn as several countries imposed strict lockdowns to contain the infection. These lockdowns affected diverse industries, primarily due to the impact on manufacturing operations. There has been a significant impact on supply chains globally. Manufacturing & processing companies faced huge losses during the first and second quarters of 2020 due to disrupted supply chains and delayed production schedules. The rapid spread of the coronavirus in the U.S., Europe, and Asian countries resulted in nationwide lockdowns and a temporary halting of production facilities to prevent further spread.

The automation providers witnessed a decline in revenues in 2020 due to the huge spread of COVID-19 and limited operations of industries in the first two quarters. The application sectors in the industrial automation market have experienced low to high impacts of the pandemic and are expected to recover in the coming years. The severely hit industries include oil & gas, construction machinery, rubber & plastic machinery, and power generation. These industries are expected to recover slowly and face adverse impacts due to changing consumer patterns, low productions, and dependency on end markets.

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Some industries that experienced medium impact include mining, robotics, building technology, electronics, paper & pulp, and process industry equipment. These industries are expected to gain a speedy recovery due to their broad range of application markets. The least hit industries included agriculture machinery, food & beverage processing & packaging, and medical & scientific manufacturers as they offer essential goods globally. Additionally, local manufacturing facilities that were temporarily shut down in the first six months of 2020 resumed operations in the third quarter due to the removal of lockdowns and the need for economic growth.

Government initiatives to promote industrial development is one of the major drivers for the growth of this market

According to the International Federation of Robotics, the Chinese government invested USD 577 million to develop intelligent systems. These systems aim to support the development of intelligent robots. In 2019, Japan invested USD 351 million to support the new robot strategy, aiming to become a leading global robotics innovation hub. This strategy includes manufacturing and important service sectors, such as healthcare, agriculture, and infrastructure.

In 2020, South Korea allocated a budget of USD 126 million for its robot-related business (Source: International Federation of Robotics). Under the Intelligent Robot Development and Supply Promotion Act, South Korea published the robot industry in South Korea as its core industry. In June 2020, Germany funded the PAiCE program with USD 55 million to develop digital industry platforms. This robotics-oriented program provides a platform for service robotics solutions in various fields to develop a digital industry platform and collaborate with companies using a digital industry platform.

In August 2011, the National Robotics Initiative (NRI) was launched in the U.S. for robotics R&D. In 2019, the budget for NRI was USD 35 million to focus on fundamental science, technologies, and integrated systems for collaborative robots. In August 2020, the U.S. announced to provide more than USD 1 billion to establish 12 new research and development hubs nationwide. Also, AI institutes, along with the University of Oklahoma, University of Texas, University of Colorado, University of Illinois, University of California, and the Massachusetts Institute of Technology, researched how technologies can be used in precision agriculture and weather forecasting, among others.

Poland is a growing manufacturing power in Europe, as there is demand for new and innovative manufacturing technologies. The Polish government provides incentives for advanced manufacturing and industrial transformation. To help the industries in Poland, the government launched its Industry 4.0 Platform in 2019 to spread knowledge related to Industry 4.0 processes and develop competence in the areas such as robotics and automation. The Polish Government also provides grants to support industry research.

To provide efficient analysis, Meticulous Research has segmented this market based on component (plant-level controls, enterprise-level controls, and plant instrumentation), mode of automation (semi-automatic and fully-automatic), and end user (oil & gas, automotive, food & beverage, and chemicals & materials), and geography (Asia-Pacific, Europe, North America, Latin America, and the Middle East & Africa).

Based on component, the industrial automation market is segmented into plant instrumentation, plant-level controls, and enterprise-level controls. The enterprise-level controls segment accounted for the largest market share in 2020. This segments large share is attributed to the benefits of implementing PLM, ERP, and MES solutions at the enterprise level. PLM solutions promote cross-team collaboration across departments such as innovation, R&D, regulatory compliance, quality, and packaging. They enable cross-functional management of product development introduction, leveraging portfolio management capabilities to deliver visibility and optimize results across the product development phase. These systems aid companies to maintain and manage records of the organizations lifecycle, further resulting in huge cost savings. However, the plant-level controls segment is expected to grow at the highest CAGR during the forecast period. This growth is attributed to the increasing need to improve visibility into operations, make data-driven decisions, improve efficiency, & minimize downtime, and increasing the adoption of plant-level controls in the manufacturing industries.

Based on mode of automation, the industrial automation market is segmented into semi-automatic and fully-automatic modes. The fully-automatic systems segment is expected to grow at the highest CAGR during the forecast period. The segment's growth is attributed to its various advantages, such as increased production capabilities, enhanced throughput volumes, and minimized human intervention.

Based on end user, the industrial automation market is segmented into oil & gas, chemicals & materials, paper & pulp, pharmaceuticals & biotech, mining & metals, food & beverage, power, consumer goods, automotive, machines & tools, semiconductors & electronics, aerospace & defense, and other end users. The oil & gas segment accounted for the largest share of the industrial automation market in 2020. However, the automotive segment is expected to grow at the highest CAGR during the forecast period. This growth is attributed to various factors such as advancement in automation, increasing use of collaborative robots, and embracing 3D printers, among others.

Geographically, the market is segmented into five major regions: North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa. Asia-Pacific is expected to grow at the highest CAGR during the forecast period. This growth is attributed to the advent of Industry 4.0, robust manufacturing sector in the region, and high deployment of robots in major verticals, such as banking, F&B, financial services and insurance (BFSI), manufacturing, healthcare, and logistics.

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In Asia-Pacific, China is expected to account for the largest share. The market growth is due to major benefits of industrial automation in the country, such as reduced production times, increased accuracy & repeatability, less human error, and increased safety. China is one of the largest manufacturers of various products, including automobiles and electronics. According to the World Bank, in 2020, manufacturing added 26.2% of China's GDP. Also, its manufacturing sector added USD 3.9 trillion in 2019. The easy availability of labor in China is a major factor in its top position in the global manufacturing sector. However, the Chinese industries are now transforming towards automation & robotics.

In recent years, China has been automating across industries at a staggering rate. In 2018, Chinese companies installed 154,000 industrial robots (Source: International Federation of Robotics). The push for automation is part of Chinas goal to become a hub of innovation. Due to favorable government policies in robotic manufacturing, China is on track to be a leader in industrial automation. Compared to Japan, South Korea, and Germany, with robot density in the manufacturing industry that varies between 270 and 400 robots per 10,000 employees, China's robot density is very low, with ~20 robots. This indicates the potential for domestic penetration, which is expected to increase the production of robots.

Due to the lack of labor in the country, China is focusing on the automation of several industries. In 2019, the national birthrate hit a nearly 60-year low of only 14.6 million births (Source: National Bureau of Statistics). According to the Ministry of Human Resources and Social Security, Chinas labor force will fall to roughly 700 million by 2050, down from 911 million in 2016. Automation could be the key to maintaining productivity as Chinas traditional labor force shrinks. Younger workers, meanwhile, are more educated than previous generations and are looking for higher-earning jobs beyond the factory floor. Automation could eventually be the answer to both problems by replacing labor and providing more lucrative jobs.

The top five players that dominated the global industrial automation market were ABB Group (Switzerland), Emerson Electric Co. (U.S.), Siemens AG (Germany), Mitsubishi Electric Corporation (Japan), and Schneider Electric SE (France). Other key players operating in the global industrial automation market include Rockwell Automation, Inc. (U.S.), Yaskawa Electric Corporation (Japan), Yokogawa Electric Corporation (Japan), KUKA AG (Germany), FANUC Corporation (Japan), Honeywell International Inc. (U.S.), OMRON Corporation (Japan), Advantech Co., Ltd. (Taiwan), and Fuji Electric Co., Ltd. (Japan) among others.

To gain more insights into the market with a detailed table of content and figures, click here: https://www.meticulousresearch.com/product/industrial-automation-market-5172

Report Scope

Industrial Automation Market, by Component

Industrial Automation Market, by Mode of Automation

Semi-automatic

Fully-automatic

Industrial Automation Market, by End User

Industrial Automation Market, by Geography

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Amidst this crisis, Meticulous Research is 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

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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.1267 Willis St, Ste 200 Redding, California, 96001, U.S.USA: +1-646-781-8004Europe : +44-203-868-8738APAC: +91 744-7780008Email- sales@meticulousresearch.com Visit Our Website: https://www.meticulousresearch.com/Connect with us on LinkedIn- https://www.linkedin.com/company/meticulous-researchContent Source: https://www.meticulousresearch.com/pressrelease/389/industrial-automation-market-2027

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Industrial Automation Market Worth $306.2 Billion by 2027- Market Size, Share, Forecasts, & Trends Analysis Report with COVID-19 Impact by...

GlobalData has revealed key findings from its latest report, Integrated Observability Systems Help Make Sense of Distributed IT Portfolios, which reveals that accelerated digital transformation is steering operations teams toward new observability stacks to oversee an increasingly diverse distributed IT infrastructures.

The report credits this automation acceleration to companies overwhelmed with the move from monolithic apps to microservices where service components within a single app must be secured and managed. Consequently, new monitoring tools are emerging to help developers collaborate under DevOps models and gain automated visibility into the impact of modern coding on underlying systems.

Not only will these monitoring tools shorten lengthy feedback cycles, but they will also enhance the quality of apps moving through the pipeline, as well as help companies remain competitive and agile, notes Charlotte Dunlap, Principal Analyst at GlobalData.

GlobalData cites integrated analytics with monitoring solutions as one advancement underscoring observability alongside broad industry acceptance of interoperability OSS technology, such as OpenTelemetry, and innovative disruptors of the traditional monitoring space.

Also read: AI and Observability Platforms to Alter DevOps Economics

The rise of observability, Dunlap notes, can be credited to a number of factors, including a change from data-based to event-based architectures and increased focus on infrastructure as code giving rise to an IT model that allows developers to have a greater role in application lifecycle management.

The move towards emerging observability is helping it become a relevant part of the clouds value chain and important technology to watch, Dunlap says.

GlobalData anticipates that the observability market will evolve in the next 12 months to include more comprehensive solutions that provide application-level observability data alongside systems-level data delivered through pre-set parameters. Integrated observability will support event streaming to detect anomalies and instantaneously highlight areas of concern through machine learning by measuring baseline thresholds and learning over time via modeling when things are not consistent.

The future of observability, notes Dunlap, is around ML-powered predictive and prescriptive analytics to enable proactive responses that prevent incidents.

Read next: The Growing Relevance of Hyperautomation in ITOps

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Observability's Growth to Evolve into Automation Solutions in 2022 | ITBE - IT Business Edge

Opinions expressed by Entrepreneur contributors are their own.

One of the biggest threats to a company's success is the lack of innovation. As the world evolves rapidly, it is impossible to ignore the speed at which technology accelerates the change and disruption in businesses. As a result, organizations that are too late to adapt to the changing consumer demands and fail to innovate quickly can face devastating consequences.

We all know of businesses that we grew up with but are nowhere to be seen today. They moved too slowly and misunderstood the buyer's need to innovate and digitize.For example, one of the biggest fashion retailers,Forever 21, filed for bankruptcy back in 2020. The reason? A growing number of Gen Z and millennial buyers like to shop online and buy sustainable clothing, and Forever 21 didn't invest enough in either department until it was too late for them.

Today, the customers are in the drivers seat and are exposed to countless brands and sellers who offer thousands of options at a click. These days its crucial to differentiate from the rest. Certain brands and businesses understand this better than others.Amazon is probably the best example of this, which proves that there's plenty of room in the market for a brand willing to listen to customers and provide superior experience at every stage of the customer journey.

There are many potential opportunities for companies to leverage technology and exceed their customers' expectations in a multitude of ways. Yet many brands fail to innovate.

Let's look at 3D. The technology has been growing steadily, and it has been rapidly adopted by companies across different industries. For instance, applications of 3D in construction and architecture are increasing, and the technology has become comparatively widespread, specifically in the design stage of theproject. Likewise, automotive companies are essentially using 3D tech for pre-production tasks. As customers demand more environmentally friendly and digitally connected vehicles, technological advancements have also enabled automakers toplan, design, test and verify newconcepts faster than ever before.

3D technology is thriving in the industrial world and has the full potential to revolutionize the fashion market. The rise offast fashiontrends has already disrupted the industry's seasonality, and 3D tech has the power to accelerate production, speeding up time to market. It could also potentially allow customers to get involved in the sizing and designing of the clothes. 3D can also be effective in terms of efficiency and lower costs in certain instances as well. Think about the cost that a design team incurs creating samples or having them made in China and shipped back to the U.S. Next, look at the number of processes that are still dependent on old school excel sheets. There has to be a smarter way to do things.

Or take AI. The entertainment industry, for instance, witnessed a drastic transformation in terms of AI tech. Companies in the entertainment and media industry are also leveraging artificial intelligence technology to help improve their services and deliver a seamless customer experience.

As the need for efficiency and competition continue to rise across various industries, the role of artificial intelligence will only grow in the coming years. By experimenting and exploring with technology, brands can maximize their business performance by improving the user experience and ultimately delivervalue to customers with greater efficiency.

While the fashion industry can benefit significantly from adopting 3D design and automation technologies that can help creatives design clothing in real-time and give buyers the ability to order the perfect fit, many fashion brands are still struggling with adopting technology and automation at scale.

So the question remains:If technology is so beneficial to fashion industries, what challenges are companies facing in implementing them?

Related:Vegan Leather Is the Next Big Thing and Sylven New York Is at the Forefront

Incorporating digital technologies in everyday processes may seem like a simple task to gain a competitive advantage, but in fact, more often than not it will require involvement of many people across numerous departments and various legacy solutions.

For instance, if we take an apparel company, what actually goes into the manufacturing of a t-shirt? The process is complex and intricate, with multiple components from product design and fabric selection, to patternmaking, grading and so on. And they are all interconnected.

At the end of the day, if youre looking to deliver automation into any of these stages, it would spread to the many connections that it has to other departments. Additionally, theres no standardization throughout the industry companies are using different ERPs and PLMs to manage their inventory as it best suits them. This is where things are getting complex and many companies drop their best intentions to regularly test something new. The ones that dont, though, succeed in the long run.

When it comes to innovation strategies, mindset is the key component that can make or break a business. Innovations call for experimenting with new ideas and not all of the tests will be successful on the first try.

Professionals are often skeptical about experimenting with new and innovative ideas because they might impact the ROI. A failure would mean a decreased ROI and, consequently, reduced profits. However, it is hard to associate the ROI with emergent technology, and a digital transformation journey requires a completely different set of metrics, such as engagement or productivity dynamics.

These days, an innovative mindset is something you can find more in tech-based companies than in legacy brands. However, when rivals can build a brand overnight using the power of social media, it is even more crucial than ever for legacy brands to pace up and innovate or else they might get pushed out of the market.

Each company-wide change has to be implemented on several levels. It all starts with high-end decision making and budget planning, and it eventually filters down to training thousands of employees to work and adapt to the new ways and transition from the old processes. Dealing with new systems is expensiveas it requires uprooting some of the existing procedures to make room for new ones.

For example, Tailored Brands, a major omnichannel U.S. retailer of men's clothing, needed to address the current climate of how to measure their customers as their stores began to re-open. The company leveraged 3DLOOK's contactless body measuring solution to help their customers find the ideal size of clothing without the need to try it on. The solution enabled sales associates, equipped with iPads, to obtain customers accurate measurements in a contactless way.

The important note hereis that they had to trainsales reps from over 250 stores to encouragethem to use the solution, but all of the efforts paid off since they were able to keep serving theircustomers offline in a safe and contactless way to the delight of many.

Generation Z wasalready demanding new tech-enabled shopping experiences, but since the pandemic began, consumers have also become more environmentally conscious. For instance, we're now seeing some apparel companies use traceability to deploy blockchain technologies that will allow consumers to look at the garment's lifespan and what happens when they send it back.

Additionally, the rise of new social media platforms like TikTok allows more ways for retailers to connect with their audiences.60% of TikTok users are Gen Z many from this generationare extremely environmentally conscious and support brands that encourage sustainable production methods. To meet consumer demands and increase brand loyalty, brands must leverage these social media tactics to create videos that show behind the scenes of sustainable methods that retailers are deploying in their businesses.

Now is the best and most urgent time for fashion brands to embrace digital innovation and reinvent themselves. With new technologies and solutions popping up daily, you can no longer maintain the status quoyou can either hit the ground running or get left behind.

Related: 8 Things That Can Help You Become a Successful Fashion Entrepreneur

Successful businesses are constantly looking for new ideas and opportunities for growth and communication with customers. Remember, your customers are the driving force of your business,so customer experience and satisfaction should lay at the core of every innovation strategy. Innovation offers you a new way to see your business's hidden potential, and if the strategy works, it can make your business better, faster and more desirable.

Don't stop at the first creative, innovative idea that you get. Keep brainstorming with your team, research what your competitors are doing ,and most importantly, critically analyze your business from a customer's perspective.

Shifting focus to create meaning for your brand and to foster a community among your customers aligns with the current consumers desire for companies that stand for more than just making a sale. Once your business means something to your customers, you will notice your business making a change in the world. And as you probably have already seen, changing the world also comes with making money.

Embrace risks, take bold steps, nurture your community and make a difference.

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The Challenges of Automation in the Legacy Fashion Industry - Entrepreneur

Bigeye on Thursday announced a $45 million in Series B funding, just six months after securing a $17 million Series A round.

Coatue led the new investment that included existing investors Sequoia Capital and Costanoa Ventures. Together, the San Francisco-based company has brought in a total of $66 million, which also includes a $4 million seed raised last May.

The companys technology automatically recommends and monitors data quality, for example telling customers what kind of data metrics to collect and alerting customers if there is an issue like when one of their ordering systems is down before it becomes a bigger problem.

Usage of the platform has doubled in each of the last four quarters, and the company also brought on new customers, like Clubhouse, Recharge and Udacity, prompting co-founders Kyle Kirwan and Egor Gryaznov to consider another round of funding. The co-founders met while at Uber and worked on similar data quality issues.

We really started out wanting to fix the problem for people in our shoes, but we didnt anticipate the quiet demand, CEO Kirwan told TechCrunch. Even in the Series A, there was demand, and to go after it, we needed to grow our engineering team even faster. There is so much to do on the product we have the nugget of the product today, but we want to go further like explore when we detect data outages, how to prevent them the next time and how better to communicate them to the right person.

In addition to engineering, the new investment will fund growth in product and go-to-market teams as well. Bigeye has 25 employees currently and Kirwan would like to see that be 40 by the end of the year.

Having started with automating a way to pay attention to the right signal coming from data, Bigeye is now shifting its attention to helping data teams communicate to the rest of their company when something isn't working or broken.

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Kirwan plans to invest in how to make it faster to get to the root cause so that data outages can be prevented in the future. In addition, the company is also examining repetitive tasks within a customers workflow to see if there is an opportunity for machine learning to automate it.

As part of the investment, Caryn Marooney, general partner at Coatue, is joining the companys board. Coatue is one of Bigeyes early customers; she was able to see firsthand what the platform could do.

Marooney said she was attracted to the teams experience building data-quality monitoring to scale at Uber, its approach to helping data teams measure and improve their data quality and the high-level customers the company is serving.

Looking toward the future, she sees data monitoring and observability as a key component of the modern data stack. Rather than examine data once a quarter, companies are using it every day to make business decisions, and therefore, need a reliable method for collecting and utilizing the data.

Before, if you had bad data, your dashboards would break, Marooney added. Today, bad data can disrupt your business. Bigeye was made by data teams for data teams, and we believe theyve solved this reliability problem for the most data-centric businesses.

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Bigeye, providing data quality automation, closes second round this year with $45M - Yahoo News

In this interview with Help Net Security, Apoorv Agarwal, CEO at Text IQ, talks about the risk of unstructured data for organizations and the opportunity to leverage AI and automation to identify sensitive data at scale.

Ideally, organizations should have a handle on where sensitive information is sitting in their data. In general, companies end up retaining the information they collect for a long time, even when they have no real use for this information. I think the problem boils down to a broader issue of data governance.

Its impossible to have strong data governance without some level of automation; for instance, the volume of data generated by enterprises is rising exponentially and relying on humans to take stock of all the sensitive information thats laying buried in their databaseundetected, and more often than not, in an unstructured formatsimply does not work at scale.

Data breaches and ransomware attacks will continue to happen, but organizations have a real opportunity to leverage AI, which gives them the ability to proactively identify sensitive and personal data at scale; once the data is identified, they can choose to redact, delete, encrypt or take whatever the necessary steps are to secure it so that it never falls into the wrong hands.

For one, up to 80% of enterprise data is unstructured the sheer size of its attack surface makes it very vulnerable to be targeted by bad actors. Secondly, this unstructured data is replete with all types of sensitive information: trade secrets, personal information, health information, intellectual property, etc; for instance, no one builds a structured database containing an organizations trade secretsits more likely lying scattered in emails, chats, Excel sheets and other forms of unstructured data.

The challenge presented by unstructured data is that it is voluminous and finding the sensitive information lying within it is like looking for the proverbial needle in the haystack. Finding those risky and sensitive needles requires machine learning techniques that are scalable.

Well, I think its obvious that data is growing at a faster rate than the human population. There are not enough humans, not enough time in the day for the volume and complexity of the task.

I think its also important to note that machines are not a point where you can just push a button and complete these tasks autonomously. They do need some help from humans. The job cannot be done by machines or humans alone.

It doesnt safeguard sensitive informationit identifies it. Once it has identified it, organizations can then take actions to safeguard it either by deleting, redacting, encrypting or changing the access controls to it.

The challenge is in the identification itself. The status quo, when it comes to identification, is based on antiquated approaches and technologies RegEx, search terms. Besides being slow and not very scalable, these labor-intensive approaches produce results that can be riddled with inaccuracies.

But not every 9 digit number is an SSN. AI, on the other hand, can look at the larger context of the information to more accurately determine if a piece of information is sensitive or not. As an example, consider email. When analyzing emails for sensitive information, AI has the ability to consider contexts such as who wrote it, who consumed, who was copied to it and the network of relationships between the people in the email chain in determining whether a part of the email is sensitive or not.

Now, theoretically, humans could triangulate all of these contexts, but theres not enough humans in the world to pull this off; and besides, humans arent good at computational tasks, they are better at abstract thinking.

They are very aware of it. No organization believes that its completely invulnerable to data breaches. It is very much top-of-mind at the board level.

Where they can improve is in the following: For too long, they have been relying on data loss prevention, search terms and manual review. They really need to pivot and tap into new technologies such as AI.

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Leveraging AI and automation to identify sensitive data at scale - Help Net Security

Beckhoff has opened an office in Orlando to support increasing demand for PC-based automation. The 2,850-square-foot office is strategically located to provide opportunities for training, seminars, sales and engineering support for customers throughout Florida, driving business development and market share gains. Located near the intersection of Floridas Turnpike and Interstate 4, the new Beckhoff sales and support office is convenient for customers visiting from across the state and just minutes from Orlando International Airport.

The new Orlando facility and its local staff will support a wide range of new and existing customers including machine builder OEMs, manufacturers and systems integrators while putting a special emphasis on the areas numerous entertainment applications. Ideal for theme park and entertainment applications, PC-based control and EtherCAT solutions from Beckhoff continue to grow in popularity among engineering teams at many of the areas top vacation destinations due to the technologies fast cycle times, high-precision motion control and real-time networking capabilities.

Florida contains an impressive number of automation innovators, so we are excited to cement our presence with the new Orlando office, said Steve Rastberger, Regional Director Eastern U.S. at Beckhoff Automation LLC. Companies across the state and nearby theme park and entertainment applications are pushing the limits of automation technology, so it is critical for us to have a location that offers more training, seminars and support. Our established local sales and application engineering teams are thrilled about how this footprint expansion will strengthen existing business relationships and begin many more.

In addition to the expansion in Orlando, Beckhoff is opening new U.S. facilities in 2021 in or near Denver, Houston and Milwaukee. Along with its U.S. headquarters in the Minneapolis area, Beckhoff maintains numerous regional offices in prominent metropolitan areas across North America. Headquartered in Cambridge, Ontario, Beckhoff Canada maintains regional offices in Montreal, Quebec, and Vancouver, British Columbia. Beckhoff Mexico was established in 2019 in Mexico City.

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Beckhoff USA Opens New Office in Orlando - Automation World

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Submitted by Rockwell Automation

MILWAUKEE, September 23, 2021 /CSRwire/-Rockwell Automation joined the Milwaukee School of Engineering and other corporate leaders this week to celebrate the grand opening of the We Energies STEM Center at MSOE. The new center is the premier STEM (science, technology, engineering and math) destination in Milwaukee for K-12 students and provides students from any schoolpublic, private, charter, and homeschoolaccess to interactive, one-of-a-kind STEM experiences.

Created in partnership with We Energies, Rockwell Automation, American Family Insurance, and Northwestern Mutual, the STEM Center provides resources, mentoring and hands-on, experience-based learning.

The 10,000-square-foot STEM Center includes the Rockwell Automation-sponsored FIRST Robotics development zone. Created with a $350,000 contribution, this space features a 1,500-square-foot playing field area where teams have ample room to test their designs and practice for competitions.

As part of our promise to expand human possibility, we invest in the students in our communities who will be the future makers, builders, and innovators, said Patricia Contreras, Rockwells vice president, Public Affairs. Our commitment to address both the opportunity and belief gaps for underrepresented students starts with our financial investments amplified by employee mentorship. We know this partnership with MSOE will empower and inspire students to make the impossible possible.

The We Energies STEM Center at MSOE opened in fall 2020 and has been offering in-person and virtual STEM programs throughout the pandemic. Overall, since 2017, MSOEs STEM programming has reached more than 15,000 students from 150 K-12 schools.

The We Energies STEM Center at MSOE is a game changer, said Dr. John Walz, MSOE president. We are grateful to have the support of We Energies, Rockwell Automation, American Family, and Northwestern Mutual, among others.

Learn more about Rockwells STEM education efforts to prepare the workforce of tomorrow.

Rockwell Automation Inc.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 23,000 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

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Rockwell Automation Helps Celebrate the Grand Opening of We - CSRwire.com

BOSTON, Sept. 24, 2021 /PRNewswire/ -- Creatio, a global software company that provides a leading no-code platform for process management and CRM, today announced it has been named a Leader in the September 2021 Gartner Magic Quadrant for B2B Marketing Automation Platforms (previously Gartner Magic Quadrant for CRM Lead Management) (1). It is the 3rd time Creatio has been named a Leader in the Gartner Magic Quadrant for B2B Marketing Automation Platforms.

The report evaluates 13 vendors, on the basis of their Ability to Execute and Completeness of Vision to provide readers with an unbiased assessment of how well these vendors are performing against Gartner market views. Creatio has received a position in the Leaders Quadrant.

Gartner defines "B2B marketing automation platforms as software that supports lead generation, lead management, lead scoring and lead nurturing activities across multiple marketing channels". According to Gartner, "B2B marketing automation platforms are designed to primarily support B2B use cases, but they may also be applicable to B2C organizations selling high-consideration products and/or B2B2C models with more complex, indirect sales processes." In their market overview, Gartner notes that "to help maintain the integrity of lead workflows, integration between marketing automation and SFA systems is critical."

The evaluated product, Marketing Creatio, is a marketing automation platform that helps organizations to streamline lead-to-revenue cycle with no-code. Marketing Creatio offers powerful capabilities for segmentation and audience management, end-to-end lead engagement, omnichannel campaigns, ABM workflows, AI/ML models to increase conversions and pipeline contribution, improve productivity and efficiency of go-to-market teams.

Marketing Creatio can be used as standalone product or as part of the unified no-code CRM platform to accelerate sales, marketing, service and operations.

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"Driving top-notch customer engagements is one of the key priorities for organizations today. Creatio equips revenue leaders with powerful no-code tools to strengthen their marketing efforts and accelerate the lead-to-revenue cycle," said Katherine Kostereva, Founder and CEO of Creatio. "We believe our recognition as a Leader by Gartner for our marketing automation platform is a testament to our focus on helping revenue leaders in varying industries meet their objectives and drive business growth," she adds.

Download a complimentary copy of the report >>>Learn more about Marketing Creatio >>>

Gartner, Magic Quadrant for the B2B Marketing Automation Platforms," September, 2021, Noah Elkin, Julian Poulter, Christy Ferguson, Ilona Hansen, Jeffrey Cohen.

Prior to 2021, Gartner Magic Quadrant for CRM Lead Management.

Creatio was referred to as bpm'online in the 2019 report

Disclaimer: Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's Research & Advisory organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

Gartner and Magic Quadrant are registered trademarks of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.

CONTACT: Vera Mayuk+1 617 765 7997319721@email4pr.com

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Creatio Named a Leader in the 2021 Gartner Magic Quadrant for B2B Marketing Automation Platforms - Yahoo Finance