Internet of Things (IoT) market grows 2020-2025

Internet of Things (IoT) in retail market projected to grow in 2020-2025

During the forecast period, major factors expected to drive the growth of the IoT in the retail market include rapidly declining cost of IoT-based sensors and connectivity, increasing adoption of smart payment solutions, and customer demand for a seamless shopping experience.

Reportlinker.com announces the release of the report “Internet of Things in Retail Market by Platform, Hardware, Service, Application And Region – Global Forecast to 2025”.

By offering, the hardware segment to account for the highest market share during the forecast period

Hardware is an essential component for any IoT device to work efficiently. In order to improve customer experiences and similar operations, these technologies or devices have become a necessity.

Beacons broadcast radio signals using the Bluetooth Low Energy (BLE) technology. These signals are received by the customer’s smartphones and wearables.

The use of these technologies enhances customer experiences by sending relevant messages as per consumer requirements.

By application, the operations management segment to hold the largest market size in 2020

The operations management segment for any retail organization is important because it refers to all the activities that maintain the optimum store functioning levels. IoT plays a crucial role in process automation and improves the operational efficiency of retail stores.

Operations management in the retail industry includes energy optimization, supply chain optimization, surveillance and security, inventory optimization, and workforce management.

By region, Asia Pacific to grow at the highest CAGR during the forecast period

Asia Pacific (APAC) is estimated to be the fastest-growing region in terms of the growth of the IoT in the retail market, due to the increasing adoption of new technologies, higher investments for digital transformation, and the growth in Gross Domestic Product (GDP) in the APAC countries. The region is continuously adopting technological advancements as IoT grows in popularity with both governments and companies on a global scale.

APAC is one of the biggest markets for connected devices.

In-depth interviews were conducted with Chief Executive Officers (CEOs), marketing directors, innovation and technology directors, and executives from various key organizations operating in the IoT in the retail market.

The breakup of the profiles of the primary participants is given below:
• By Company Type: Tier 1 – 55%, Tier 2 – 27%, and Tier 3 – 18%
• By Designation: C-Level Executives– 33%, Director Level – 25%, and Managers–42%
• By Region: North America – 38%, Europe – 19%, APAC – 14, and RoW – 29%

The following key IoT in retail market vendors are profiled in the report:
• Cisco (US)
• IBM (US)
• Intel (US)
• Microsoft (US)
• PTC (US)
• Huawei (China)
• Sierra Wireless (Canada)
• AWS (US)
• SAP (Germany)
• Software AG (Germany)
• Accenture (Ireland)
• Bosch.IO (Germany)
• Google (US)
• NEC Corporation (Japan)
• Oracle (US)
• AT&T (US)
• Vodafone (UK)
• Happiest Minds (India)
• Telit (UK)
• Allerin (India)

Research Coverage

The IoT in the retail market is segmented by offering (hardware, platforms, and services), application, and region. A detailed analysis of the key industry players has been undertaken to provide insights into their business overviews; services; key strategies; new service and product launches; partnerships, agreements, and collaborations; business expansions; and competitive landscape associated with the IoT in the retail market.

Reasons to Buy the Report

The report would help the market leaders and new entrants in the following ways:

• It comprehensively segments the IoT in the retail market and provides the closest approximations of the revenue numbers for the overall market and its subsegments across different regions.

• It would help stakeholders understand the pulse of the market and provide information on the key market drivers, restraints, challenges, and opportunities in the market.

• It would help stakeholders understand their competitors better and gain more insights to enhance their positions in the market. The competitive landscape section includes the competitor ecosystem, new service developments, partnerships, and acquisitions.

Read the full report here.

Source: Reportlinker

 


 

Data V Tech is proud to be one of the leading ERP vendors in the Asia Pacific. We have implemented Epicor ERP for many enterprises and organizations in Vietnam and China. For direct consultation, please feel free to contact us.

 

signs to replace ERP software systems to enhance manufacturing

5 telltale signs it’s time to replace your ERP system

New software, systems enhance responsiveness, save time for stampers and other manufacturers

Most stamping manufacturers have integrated an enterprise resource planning (ERP) system of some sort over the last decade. Most likely it ushered in operating system improvements and efficiencies not experienced before. However, modern technology improvements—especially Industry 4.0—may have made those legacy ERP systems obsolete.

Now it’s easier than ever for manufacturers to update their systems using the features of Industry 4.0 so they don’t have to rely on outdated ones. Today’s ERP software harnesses data so that manufacturers can make better decisions, faster.

Here are five signs that your ERP system is outdated.

1. Lack of Real-time Data

Speed to market and critical decision-making during the production process are competitive advantages. That means every minute counts. Time is money, and digging through data is tedious and time-consuming.

That critical time is wasted when staff on the production floor and in the front office have to wait for reports to be generated to make their next moves. Modern manufacturing ERP software offers individual users access to the reports they need at the click of a mouse from their own dashboards.

Cloud access and mobility features are also important for those in the field, whether for the sales team, remote employees, or technicians serving a client. Having up-to-date business intelligence about inventory levels, sales orders, and where things are in the production cycle is critical.

Your ERP system should allow access at the touch of a button and on any mobile device to these and other types of information to help you make better decisions, capture more sales, and satisfy customers.

2. Too Complex for Users

Is everyone across your organization comfortable using your ERP software? Do they use it at all? Or are you finding more and more employees using workarounds to accomplish tasks that your ERP system should be capable of handling?

You also may find yourself hiring software programmers to write new capabilities into your ERP software. Inevitably, such efforts will likely make it, even more, complex—depressing user adoption instead of enhancing it.

Lack of employee buy-in and chronic complaints about how challenging a system is and how much time it takes to enter and extract data are telltale signs of an ineffective ERP system.

ERP software today is equipped with intuitive interfaces, making them easy to catch on to and use. For example, role-based configured dashboards turn data into usable information without tapping into IT capacity. Automated work instructions address workforce succession. Merging machine data and financial performance can pinpoint where true profitability is or is not occurring. ERP software includes customizable reporting tools. Its anywhere-accessibility supports quick responsiveness, and that equates to time savings and better customer service.

In addition, reputable ERP system providers will include training as part of their ERP implementation and provide support to encourage user adoption. Be sure to take advantage of it.

3. Reliance on Multiple Platforms

One of the biggest benefits of current ERP software is its ability to minimize duplicate data and duplicate work. A major goal of any ERP system is to create efficiencies and make sure everyone is on the same page and working together as a team toward the same goals. When individuals and departments use multiple systems or add-on tools that are not integrated into your ERP system, that is a recipe for miscommunication.

If you are using nonintegrated systems or a separate customer relationship management (CRM) tool, you’re likely missing productivity and profitability opportunities.

Modern ERP systems unite various departments with a single technology system rather than separating them into silos with their different management tools. But that doesn’t mean you need to abandon systems that are working for you. If you like, for example, the simplicity of QuickBooks®, newer ERP technologies can integrate seamlessly with many existing platforms and do not have to be complex and difficult. Workflow automation in these new systems has pushed complex routines behind the scenes, allowing users to analyze data; make decisions fast; and avoid lengthy, frustrating keystrokes.

4. Still Performing Manual Processes

In an age when reliance on computers and online connectivity has become a part of our daily lives and imperative for business success, it’s unnecessary for manufacturers to still rely on manual business processes.

Your finance department may run manual end-of-the-month reconciliation reports. The sales department may send orders through interoffice mail. Engineers might route papers for approvals with no way of tracking where they are in the approval process or whose desk they’re sitting on.

ERP technology is intended to automate labor-intensive processes and keep workflows running smoothly. When your ERP fails to achieve these most basic functions, it’s time to look at an upgraded system.

5. Lack of Support

As legacy systems age, they often require more calls to the software vendor’s customer support center or help desk. To resolve problems, technicians often need to perform upgrades or maintenance.

Eventually, however, the computing power of legacy systems simply cannot keep up with the mountain of data that is generated in today’s business climate.

This can lead to slower performance, increased downtime, and susceptibility to security breaches or cyberattacks. Some ERP software applications may even become obsolete or no longer be supported.

A lack of available support isn’t a problem just with legacy ERP systems; it’s also critical to ensure that your new ERP system has people who will be there to stand behind it. Choosing the right ERP vendor is just as important as choosing the right software. The vendor can help you through each phase, including discovery, selection, implementation, customization, user training, and ongoing support.

Source: Mark Stevens


Data V Tech is proud to be one of the leading ERP vendors in the Asia Pacific. We have implemented Epicor ERP for many businesses in manufacturingdistribution, and retail in Vietnam and China. For direct consultation, please feel free to contact us.

reasons for ERP implementation failure

7 reasons for ERP implementation failure

ERP consultants shared their analysis and takeaways from such spectacular ERP failures as National Grid, Revlon and Waste Management and gave advice on avoiding the same pitfalls.

There are a lot of ways for ERP systems to fail. For one, many businesses rush into rolling out new functions without careful consideration of details — or knowing beforehand the common reasons for ERP implementation failure.

“It takes time, dedicated training and adequate management for ERP to flourish as a proficient tool within your business,” said Jenny Chua, business development manager at The World Management, an ERP consultancy in Singapore.

John Belden, project execution advisory practice leader at Boston-based UpperEdge, an IT negotiations consultancy, commonly sees three key characteristics of these projects that often contribute to ERP implementation failure.

First, ERP implementations are often two to 10 times bigger than previous projects. Second, they are transformational, which means there are winners and losers in the organization as a result of the software implementation. Third, they are generational, which means that an organization may not have done anything comparable in 10 to 15 years.

“A program will have problems when enterprises don’t recognize these issues and try and mitigate these risks,” Belden said.

Examining well-publicized cases reveals a handful of more specific reasons for ERP implementation failure.

Here are seven major reasons why ERP implementations fail and how to avoid them.

Bigger projects tend to put an organization in the position where it is not prepared for the volume and magnitude of decisions required. As a result, overwhelmed teams end up piling on one bad decision after another.

Belden said a classic example was the 2012 attempt by the state online healthcare marketplace, Covered Oregon, to simultaneously implement Obamacare and replace all of its supporting transaction processing systems. It ultimately spent over $300 million and was unable to process a single insurance application through the exchange.

“They created a scenario where the project got so enormous, they could not meet the due dates,” Belden said, or make the decisions that were required. Problems were exacerbated by the need to meet the hard deadline imposed by Obamacare. Belden said he believes the project would have worked out if Covered Oregon had kept the ERP project smaller and restricted it to what would have been required for Obamacare.

The big lesson: Limit the scope of the project to the appropriate time frame.

Generational problems can occur when no one on the program management team understands where the problems are.

“They may have prior experience, but it was 10 to 15 years ago and the people who learned the lessons are somewhere else in the organization or have moved on,” Belden said.

A good example is ICL’s failed ERP implementation in 2014. The project cost ballooned from $120 million to more than $500 million. Ultimately the CEO resigned, and the entire SAP ERP implementation was canceled.

The CEO assigned the project to a relatively new person in the CFO’s office, according to Belden. This project lead was primarily focused on making sure the financials were being incorporated into the ERP rather than taking into consideration the needs of the manufacturing and supply chain sides of the business. Employees in the first factory revolted after they had the new system imposed upon them.

“They got more focused on financial integrity rather than operational integrity,” Belden said.

The lesson: Focus on all users and not just one part of the business.

National Grid’s ERP implementation was essentially blown away by Hurricane Sandy when the utility attempted to consolidate all of its U.S. operations on a common SAP system in 2012. Ultimately, the project took two years to clean up, at a cost of $585 million.

The parent company had successfully worked with the Wipro consulting firm to implement a similar ERP consolidation in Europe. But the ERP project team struggled with major differences in the regulatory environments in the U.S. Wipro suggested the SAP ERP was ready to go live based on test results, but the actual system did not hold up under the increased workload and emergency business processes required to repair the electric grid after the hurricane, which involved special procedures for bringing in workers and materials from other utilities for the extensive repairs.

Belden said the implementation team had focused on “happy path” testing, which involved testing functions under ideal circumstances, but there had been insufficient testing of the system in emergency scenarios. National Grid decided to go live as the hurricane was making its way up the coast.

The key takeaway: It is vital to assess all of the information required to truly determine readiness before going live with a large ERP implementation.

Waste Management ran into some major snags when it attempted a massive SAP installation in 2005. After numerous delays and problems, the company ended up in a $500 million lawsuit against SAP that was eventually settled out of court.

SAP had suggested Waste Management could achieve $106 to $220 million in annual benefits from a consolidated ERP system that could be implemented in 18 months.

Deepak Lalwani, principal and management consultant at Deepak Lalwani & Associates, an IT consultancy, said one big problem was Waste Management’s failure to verify SAP’s claims before making an executive decision. The company quickly discovered there were significant gaps between what was promised and what was delivered in the software.

The takeaway: Verify vendor claims with internal business and technical teams. “Performing proof of concept on critical functionality … can reduce significant risk,” Lalwani said.

Nike thought it could Just Do It when it embarked on a $400 million upgrade of its ERP system in 2000. But the new system resulted in $100 million in lost sales and a 20% drop in stock price when it couldn’t fulfill orders for Air Jordan footwear.

Alex Sharpe, associate principal and management consultant at Deepak Lalwani & Associates said, “Nike was overly optimistic in their goals, and they failed to verify business process met operational needs before deploying the system.”

The lesson: It’s important to set realistic goals, especially with regard to ERP functionality and implementation schedules. Sharpe also recommends defining business and operational needs early on and keeping them in mind when developing systems.

“Ensure you take enough time to test the system for any kinks that need to be ironed out before putting your system into production,” he said.

MillerCoors embarked on an ambitious plan to consolidate all of its financials on a single ERP system to reduce costs and improve operational efficiency. In 2014, it hired HCL Technologies to implement the project, which was stalled by numerous defects. MillerCoors ended up suing HCL for $100 million, which was finally resolved in 2018.

Lalwani said the problem arose because the planning and architectural phases were not given adequate consideration. In addition, many critical defects and other additional problems were identified, but not fixed.

HCL’s core competency was generally regarded as implementation, not planning and architecture.

The lesson: Be sure to have the right expertise for the particular project. “IT is often the toughest and the most expensive part of integrating multiple companies, and they rushed through the planning and architecture phase only to get hurt by it later,” Lalwani said.

Revlon attempted to integrate all of its ERP processes across business units after a merger with Elizabeth Arden in 2016. The new system failed spectacularly after it went live in 2018, resulting in a loss of $64 million in sales, a 6.4% loss in stock price and an investor lawsuit.

A key issue was that Revlon had attempted to consolidate Microsoft and Oracle systems on a new SAP implementation but lacked hands-on experience with SAP. It also decided to go live without making sure the ERP business processes would work as intended.

“Rolling out a system that does not meet operational needs and requirements often leads to adverse business impacts,” Lalwani said.

The final lesson: Mind both the operational and business sides of the ERP equation.

Source: George Lawton


Data V Tech is proud to be one of the leading ERP vendors in the Asia Pacific. We have implemented Epicor ERP for many businesses in Vietnam and China. For direct consultation, please feel free to contact us.

work solution to Coronavirus

Coronavirus Has ‘Expedited’ Need For CBT’s Connected Worker Solution

‘We had seen rapidly increasing interest in this solution from utility and manufacturing companies prior to coronavirus, but now we are seeing interest across multiple industries,’ says CBT CEO Kelly Ireland. ‘All businesses now are having to figure out a way to support clients in an entirely different manner.’

A breakthrough remote expert/connected worker solution from solution provider CBT is coming to the aid of customers grappling with the changing work requirements sparked by the coronavirus.

“This crisis has expedited the need for our remote expert/connected worker solution,” said CBT founder and CEO Kelly Ireland in an interview with CRN. “This is the result of over two years of industrial IoT (internet of things) solutions development ”

The internet of things solution- which was developed as part of a refinery of the future project with a number of vendors including Hewlett Packard Enterprise – is finding new uses from customers in the midst of the coronavirus, said Ireland.

“We had seen rapidly increasing interest in this solution from utility and manufacturing companies prior to coronavirus, but now we are seeing interest across multiple industries,” said Ireland. “All businesses now are having to figure out a way to support clients in an entirely different manner.”

Telemedicine is one of the use cases that CBT, headquartered in Orange, Calif., No. 155 on the 2019 CRN SP500, has developed for health care professionals, but the solution has been embraced by a diverse group of clients, said Ireland.

In fact, Ireland said customers have come up with broad uses for the internet of things solution because of the robust capabilities it brings to bear to solve a wide range of remote expert/connected worker issues. “This transcends all industries,” she said.

Key to the adoption of the remote expert/connected worker solution is the return on investment which has amounted to cost savings as much as 75 percent and time savings by 90 percent, said Ireland. “The ROI has been massive- much higher than what we have seen for other solutions,” she said. “The ROI is extremely impactful. It’s going right to the bottom line.”

The CBT remote expert/connected worker solution is packaged solution priced starting at under $5,000 for a single wearable device with up to 10 virtual remote users, said Ireland. “This solution is deployed virtually,” she said. “No one has to come out and install it. We ship equipment and then deploy it virtually. It is set up as a plug and play solution ready to go. So the people using it never have to meet face to face. It is all done virtually.”

CBT has used the remote expert/connected worker device at a Saudi Arabia manufacturing plant, said Ireland. “We implemented the solution and a specialist was able to support the engineer in Saudi Arabia to identify the problem and resolve the issue,” she said.

The remote expert-connected worker “is the culmination of years of work and millions of dollars of investment,” said Ireland. “The knowledge and experience we have gained over that time really make us experts in this field.”

Source: Steven Burke


Data V Tech is proud to be one of the leading ERP vendors in the Asia Pacific. We have implemented Epicor ERP for many businesses in Vietnam and China, who are benefiting from the software solution during this Coronavirus crisis. For direct consultation, please feel free to contact us.

What is predictive analytics

Predictive Analytics: What Is It and How Can It Help the Federal Government?

Powerful data analytics tools can help agencies save money and make more informed decisions.

Predictive analytics tools allow the government to get ahead of problems before they waste money, harm IT systems or cost lives. Such data analytics platforms can provide agency leaders, IT leaders, and analysts with actionable insights they can use to enhance their missions, improve their cybersecurity, save money on maintenance costs and generally make more informed decisions.

Agencies can also take advantage of open data to glean insights for and from one another, or open up data to the public and give them the opportunity to do the same.

“From spotting fraud to combatting the opioid epidemic, an ounce of prevention really is worth a pound of cure — especially in government,” Deloitte notes in a report on predictive analytics in government. “Predictive analytics is now being applied in a wide range of areas including defense, security, health care, and human services, among others.”

What Is Predictive Analytics?

For years, federal agencies employed traditional statistical analytics software (SAS) to build predictive models, but those workers were usually sequestered into back rooms without access to policymakers, notes Andrew Churchill, vice president of federal sales at analytics firm Qlik. “But now data science is in vogue and it’s the cool job,” he says.

The most basic way to understand predictive analytics is to ask, “How do I take what I can clearly see is happening and begin to, through trained models, describe what will happen based on the variables that we are feeding the machine?” Churchill says.

Mohan Rajagopalan, senior director of product management at Splunk, notes that predictive analytics involves the ability to aggregate data from a variety of sources and then predict future trends, behaviors and events based on that data. That can include identifying anomalies in data logs and predicting failures in data centers or machines on the agency’s network. It can also be used to forecast revenues, understand buying behaviors and predict demand for certain services.

“The outcome of predictive analytics is the prediction of future behaviors,” Rajagopalan says.

Adilson Jardim, area vice president for public sector sales engineering at Splunk, says that predictive analytics exists on a spectrum. On one end is basic statistical or mathematical models that can be used to predict trends, such as the average of a certain type of behavior. On the other end are more advanced forms of predictive analytics that involve the use of machine learning, in which data models are asked to infer different predictive capabilities, Jardim says.

Some customers are ingesting up to 5 petabytes of data per day, and that data can be used to not only understand what has happened but what could or is likely to happen, he says.

Predictive analytics can be applied across “a broad range of data domains,” Churchill says.

Defining the Predictive Analytics Process

There are numerous elements of the predictive analytics process, as Predictive Analytics Today notes. Here is a quick breakdown:

* Define project: Agencies first must define the scope of the analysis and what they hope to get out of it.

* Data collection: Getting the data itself and mining it can be a challenge, according to Rajagopalan. One of the big challenges federal agencies and other organizations face these days is the volume, variety, and velocity of data. “A model in the absence of trustworthy, validated and available data doesn’t yield much of a result,” Churchill adds.

* Data analysis: Another core element of the process involves algorithms that can inspect, clean, transform and analyze data to derive insights and make conclusions.

* Statistics: Predictive analytics tools need to then use statistical analysis to validate the assumptions and hypotheses and run them through statistical models.

* Modeling: Another key element is the modeling that is used to define how the data will be processed to automatically create accurate predictive models, Rajagopalan says. The algorithms can be as simple as rules that can be applied to understand a particular situation or understand data in the context of a particular scenario. There are also supervised algorithms and models that use machine learning techniques to build hypotheses around trends in the data and constantly refine themselves based on the data they are presented with.

* Deployment: IT leaders then have the outputs of the model, such as visualization, report or chart. The results of the predictive analysis are then given to decision-makers.

* Model monitoring: The models are continuously monitored to ensure they are providing the results that are expected.

Before, Rajagopalan says, agencies had specialized units to apply SAS, but those models were expensive to create. The democratization and consumerization of data and of analytics tools have made it easier to create simple and succinct summaries of data that visualize outputs.

What Is Open Data?

Joshua New, formerly a policy analyst at the Center for Data Innovation and now a technology policy executive at IBM, tells FedTech that open data is the best thought of as “machine-readable information that is freely available online in a nonproprietary format and has an open license, so anyone can use it for commercial or other use without attribution.”

On May 9, 2013, former President Barack Obama signed an executive order that made open and machine-readable data the new default for government information.

“Making information about government operations more readily available and useful is also core to the promise of a more efficient and transparent government,” the Obama administration noted.

On Jan. 14, 2019, the OPEN Government Data Act, as part of the Foundations for Evidence-Based Policymaking Act, became law. The OPEN Government Data Act makes data.gov a requirement in the statute, rather than a policy. It requires agencies to publish their information online as open data, using standardized, machine-readable data formats, with their metadata included in the data.gov catalog. May 2019 marks the 10th anniversary of data.gov, the federal government’s open data site.

The General Services Administration launched the site with a modest 47 data sets, but the site has grown to over 200,000 data sets from hundreds of data sources including federal agencies, states, counties, and cities. “Data.gov provides easy access to government datasets covering a wide range of topics — everything from weather, demographics, health, education, housing, and agriculture,” according to data.gov.

Predictive Analytics Examples in Government

Federal agencies are using predictive analytics for a wide range of use cases, including cybersecurity. Specifically, agencies are using these tools to predict insider threats, Splunk’s Jardim says. The models look at users’ backgrounds, where they have worked, how often they have logged in to networks at certain times and whether that behavior actually is anomalous. The goal of such tools is to make a good prediction of whether the security events should be tracked by human analysts, Jardim says.

“You only want to surface the events that are very clear insider threats,” he says. “The analyst is focused on high-probability events, not low-probability events.”

Predictive analytics can also be used for agencies’ data center maintenance by applying algorithms to look at compute capacity, how many users are accessing services and to assess throughput for mission-critical applications, Jardim says. Such tools can predict when a particular server will become overloaded and can help agencies preempt those events to ensure users have access to vital applications.

The Defense Department can also use predictive analytics to ensure that soldiers have enough of the right munitions and supplies in particular theaters of war and enough support logistics. “Logistics and operational maintenance take on a life-or-death consequence if I cannot ship enough munitions or vehicles into a specific theater,” Jardim says.

Qlik’s Churchill says that a customer within the Army is using predictive analytics tools to build models that support force enablement and predict the capabilities that will be needed in the future and which capabilities will be diminished, as well as the capabilities that will be required if certain scenarios arise.

The Pentagon is also working on predictive analytics tools for financial management via the Advanta workflow tool, which has brought together roughly 200 of the DOD’s enterprise business systems, Churchill says.

“How can they use predictive models to understand the propensity to have to de-obligate funds from a particular program in the future?” Churchill says. “As I am evaluating the formulation and execution of budgets, technologies like this have the ability to help those decision-makers identify the low-hanging fruit. How do I put those insights in front of people that they wouldn’t have gotten before?”

Predictive maintenance is also a key use case, especially for vehicles and other heavy equipment. Models can ingest data such as the weather and operating conditions of vehicles, not just how many hours they have been running, to determine when they will break down, Churchill says.

Source: Phil Goldstein


Data V Tech is proud to be one of the leading ERP vendors in the Asia Pacific. We have implemented Epicor ERP for many enterprises and organizations, including those in defense, in Asia Pacific. For direct consultation, please feel free to contact us.

how artificial intelligence fights Coronavirus

Coronavirus: How Artificial Intelligence, Data Science And Technology Is Used To Fight The Pandemic

Since the first report of coronavirus (COVID-19) in Wuhan, China, it has spread to at least 100 other countries. As China initiated its response to the virus, it leaned on its strong technology sector and specifically artificial intelligence (AI), data science, and technology to track and fight the pandemic while tech leaders, including Alibaba, Baidu, Huawei and more accelerated their company’s healthcare initiatives. As a result, tech startups are integrally involved with clinicians, academics, and government entities around the world to activate technology as the virus continues to spread to many other countries. Here are 10 ways of artificial intelligence, data science, and technology are being used to manage and fight COVID-19.

1. AI to identify, track and forecast outbreaks

The better we can track the virus, the better we can fight it. By analyzing news reports, social media platforms, and government documents, AI can learn to detect an outbreak. Tracking infectious disease risks by using AI is exactly the service Canadian startup BlueDot provides. In fact, the BlueDot’s AI warned of the threat several days before the Centers for Disease Control and Prevention or the World Health Organization issued their public warnings.

2. AI to help diagnose the virus

Artificial intelligence company Infervision launched a coronavirus AI solution that helps front-line healthcare workers detect and monitor the disease efficiently. Imaging departments in healthcare facilities are being taxed with the increased workload created by the virus. This solution improves the CT diagnosis speed. Chinese e-commerce giant Alibaba also built an AI-powered diagnosis system they claim it is 96% accurate at diagnosing the virus in seconds.

3. Process healthcare claims

It’s not only the clinical operations of healthcare systems that are being taxed but also the business and administrative divisions as they deal with the surge of patients. A blockchain platform offered by Ant Financial helps speed up claims processing and reduces the amount of face-to-face interaction between patients and hospital staff.

4. Drones deliver medical supplies

One of the safest and fastest ways to get medical supplies where they need to go during a disease outbreak is with drone delivery. Terra Drone is using its unmanned aerial vehicles to transport medical samples and quarantine material with minimal risk between Xinchang County’s disease control center and the People’s Hospital. Drones also are used to patrol public spaces, track non-compliance to quarantine mandates, and for thermal imaging.

5. Robots sterilize, deliver food and supplies and perform other tasks

Robots aren’t susceptible to the virus, so they are being deployed to complete many tasks such as cleaning and sterilizing and delivering food and medicine to reduce the amount of human-to-human contact. UVD robots from Blue Ocean Robotics use ultraviolet light to autonomously kill bacteria and viruses. In China, Pudu Technology deployed its robots that are typically used in the catering industry to more than 40 hospitals around the country.

6. Develop drugs

Google’s DeepMind division used its latest AI algorithms and its computing power to understand the proteins that might make up the virus, and published the findings to help others develop treatments. BenevolentAI uses AI systems to build drugs that can fight the world’s toughest diseases and is now helping support the efforts to treat coronavirus, the first time the company focused its product on infectious diseases. Within weeks of the outbreak, it used its predictive capabilities to propose existing drugs that might be useful.

7. Advanced fabrics offer protection

Companies such as Israeli startup Sonovia hope to arm healthcare systems and others with face masks made from their anti-pathogen, anti-bacterial fabric that relies on metal-oxide nanoparticles.

8. AI to identify non-compliance or infected individuals

While certainly a controversial use of technology and AI, China’s sophisticated surveillance system used facial recognition technology and temperature detection software from SenseTime to identify people who might have a fever and be more likely to have the virus. Similar technology powers “smart helmets” used by officials in Sichuan province to identify people with fevers. The Chinese government has also developed a monitoring system called Health Code that uses big data to identify and assess the risk of each individual based on their travel history, how much time they have spent in virus hotspots, and potential exposure to people carrying the virus. Citizens are assigned a color code (red, yellow, or green), which they can access via the popular apps WeChat or Alipay to indicate if they should be quarantined or allowed in public.

9. Chatbots to share information

Tencent operates WeChat, and people can access free online health consultation services through it. Chatbots have also been essential communication tools for service providers in the travel and tourism industry to keep travelers updated on the latest travel procedures and disruptions.

10. Supercomputers working on a coronavirus vaccine

The cloud computing resources and supercomputers of several major tech companies such as Tencent, DiDi, and Huawei are being used by researchers to fast-track the development of a cure or vaccine for the virus. The speed these systems can run calculations and model solutions is much faster than standard computer processing.

In a global pandemic such as COVID-19, technology, artificial intelligence, and data science have become critical to helping societies effectively deal with the outbreak.

Source: Bernard Marr


With the assistance of ERP software, many manufacturers in Vietnam and China remain active during this pandemic. This solution has proved its high value during this crisis as it allows workers to work from home and connection as well as internal/external communication to continue seamlessly. Thus, it indirectly reduces the spread of the virus.

Data V Tech is proud to be one of the leading ERP vendors in the Asia Pacific. We have implemented Epicor ERP for many businesses in Asia Pacific. For direct consultation, please feel free to contact us.

Blockchain supports coronavirus response

Blockchain protects IP, tracks tires, supports coronavirus response

Customs and Border Protection tested the feasibility of using blockchain to protect intellectual property rights (IPR) information transmitted between multiple commercial companies.

In a late February statement, CBP said the proof of concept demonstrated blockchain can encrypt sensitive data and track it via an electronic ledger to protect IPR on imports, as well as the sensitive data shared among manufacturers, retailers, rights holders and importing companies.

CBP has long fought against imported counterfeit goods of all stripes, from toys and athletic wear to prescription drugs, saying they cost U.S. companies hundreds of millions of dollars every year in lost income.

The proof-of-concept blockchain connected product data correctly to the product and to the license, resulting in fewer physical examinations of products being imported, according to CBP. The seven companies participating in the test could communicate with other participants using their unique blockchain, regardless of different software used by each party, thanks to the program’s open global standards and approaches.

The supply chain for military tires

SAIC announced a blockchain pilot with The Goodyear Tire & Rubber Company to secure the supply chain for aircraft and vehicle tires for the armed services and foreign military sales under the Defense Logistics Agency’s Global Tires Program. SAIC said the program has delivered more than 1.5 million tires worldwide, with a 97% fill rate.

SAIC plans to integrate data from internet-of-things sensors with smart contracts to enhance real-time supply chain track-and-trace capabilities so that participants will instantly know if weather or a mechanical breakdown delays a truckload of aircraft tires. The pilot, supported by Microsoft Azure Blockchain services, will allow participants to track, view and analyze supply chain activity, further aiding customers in making informed buying decisions.

Coronavirus support

A professor at the University of California San Diego has been studying how moving medical supply chain records to a blockchain could help anticipate shortages in health emergencies by identifying chokepoints in the delivery process.

Timothy Mackey thinks that by eliminating these hiccups in the system, public health officials and medical suppliers could more easily see which hospitals were prepared to treat COVID-19 patients and others in need of acute care, according to a report in Forbes.

Blockchain technology helped the Chinese government and medical agencies battle against the coronavirus, according to Xinhuanet, China’s official news outlet. In the first two weeks of February, at least 20 blockchain-based applications were launched to tackle the emerging challenges, including health records management, securing gated communities for residents, managing relief supplies along and tracking the logistics of epidemic prevention materials.

Drone communications

Researchers at Purdue University have received funding from NASA for a blockchain-inspired secure, scalable, distributed, and efficient communication framework to support large scale drone operations. The researchers propose an unmanned aerial vehicle traffic information exchange network to safely, securely and economically distribute UAV flight data across the network.

According to the award notice, the project will demonstrate how traffic data can be shared between UAVs and aircraft traffic controllers in a city with obstacles blocking radio signals. Additionally, the researchers said it can also provide a reliable and real-time information source for drone developers working on collision avoidance systems and route planning strategies that ensure airspace safety and efficiency.

Secure vehicle communications

The Federal Highway Administration said it expects to sponsor research into the use of blockchain technology for highway transportation. It is interested in support for secure, real-time communication for connected vehicles, freight data management, dynamic roadway asset tools that optimize routing or geofencing of roadway segments and highway pricing featuring dynamic and auction-based mechanisms.


Data V Tech is proud to be one of the leading ERP vendors in the Asia Pacific. We have implemented Epicor ERP for many enterprises and organizations in the region, including those in defense or medical devices. For direct consultation, please feel free to contact us.

IoT Adoption Continues

IoT Adoption Continues to Grow at a Slow and Steady Pace

A new survey from the New Eclipse Foundation says open-source options are gaining ground, owing to the continuous growth in IoT adoption.

The Eclipse Foundation, which focuses on the Internet of Things (IoT), has released its first annual IoT Commercial Adoption survey. The survey aims to understand the IoT industry landscape by identifying the requirements, priorities, and challenges faced by enterprises. Especially those organizations that deploy and use commercial IoT solutions, including those based on open source technologies.

Moreover, the survey includes details on IoT adoption by industry, top concerns by commercial IoT adopters, and breakdowns by organizational role.

Some of the key findings of the report are as follows:

  • Open source will penetrate IoT even further as 60% of companies will allow open source into their IoT deployment plans.
  • IoT adoption is growing; however, it is slower than the hype would indicate. Around 40% of respondents said they are deploying IoT solutions at present, and another 22% plan to start the deployment of IoT within the next two years.
  • Thirty percent of companies are planning to spend less than $100K in 2021.
  • There is a significant increase in the IoT investment, as 40% of respondents said they are aiming to shoot up IoT spending in the next fiscal year.
  • In the case of IoT deployments, hybrid clouds are taking the top spot. Cloud platforms, including AWS, Azure, and GCP, are the leading in terms of IoT implementations.

Today, markets are evolving from piecemeal implementations to more comprehensive solutions. Open-source solutions should be a core component of a company’s IoT architecture. This will majorly help in easing interoperability and save them from being locked with a single vendor. Manufacturers need to continue investing in IoT, as their competition is scaling their investment and exploring production deployments of this technology. They are implementing IoT solutions that collaborate on industrial automation, asset management, and logistics.

Some of the more innovative companies are relying on IoT technologies to improve their customer value proposition by offering preventive maintenance features. With the rollout of 5G in 2020, the adoption of IoT is going to become more extensive across industries; then, it is expected to drive the adoption of OS-based IoT tools, adding flexibility and strength to enterprise platforms.

Source: Sneha Bokil


Data V Tech is proud to be one of the leading ERP vendors in the Asia Pacific. We have implemented Epicor ERP for many enterprises and organizations in Vietnam and China. For direct consultation, please feel free to contact us.

Epicor Ace Hardware partnership extension

Epicor and Ace Hardware Extend Strategic Partnership

The expanded partnership includes a 5-year commitment to continue an exclusive point-of-sale endorsement, support Ace Retailers, and introduce next-generation retail cloud technology.

AUSTIN, Texas–(BUSINESS WIRE)– Epicor Software Corporation, a global provider of industry-specific enterprise software to promote business growth, today announced the expansion of an exclusive partnership with Ace Hardware, the world’s largest retailer-owned hardware cooperative. Ace Hardware has officially selected Epicor Eagle as its designated point-of-sale (POS) solution, currently installed at more than 3,400 Ace Hardware stores.

Based on the success of the Epicor Eagle POS partnership that kicked off more than two decades ago, Ace Hardware has expanded the venture to include a 5-year commitment to exclusively use Epicor Eagle. Epicor’s technology and vision, along with domain expertise and deep vertical market knowledge, helped secure Ace’s decision to move forward with the partnership.

“It only made sense to expand our partnership with Epicor as we continue to build momentum as a brand and retailer. Epicor’s vision for, and commitment to, the independent retailer, coupled with its industry-specific technology, set the company apart from the rest,” said John Venhuizen, President and CEO, Ace Hardware. “Today marks the start of an expanded relationship and we’re excited about the potential and future developments that this will bring.”

This partnership underscores Epicor’s continued dedication to providing innovative and seamless solutions for its retailers. Epicor Eagle’s functionality, flexibility, and integration capabilities provide Ace retailers with the tools they need to succeed at business processes – operational efficiency, customer service, and bottom-line profitability.

“Over the past three decades, Epicor Eagle has delivered strong point-of-sale solutions to our customers. Despite the big-box competition, with this software retailers are thriving through superior customer engagement and greater efficiency – including Ace retailers,” said Steve Murphy, CEO, Epicor. “We’re delighted to continue our partnership and are proud to be the only point-of-sale software exclusively endorsed by Ace Hardware.”

About Epicor Software Corporation

Epicor Software Corporation drives business growth. We provide flexible, industry-specific software designed to fit the precise needs of our manufacturing, distribution, retail, and service industry customers. More than 45 years of experience with our customers’ unique business processes and operational requirements are built into every solution―in the cloud or on-premises. With this deep understanding of your industry, Epicor solutions dramatically improve performance and profitability while easing complexity so you can focus on growth. For more information, connect with Epicor or visit www.epicor.com.

Epicor and the Epicor logo are trademarks or registered trademarks of Epicor Software Corporation, registered in the United States and other countries. Other trademarks referenced are the property of their respective owners. The product and service offerings depicted in this document are produced by Epicor Software Corporation.

About Ace Hardware

Ace Hardware is the largest retailer-owned hardware cooperative in the world with more than 5,300 locally owned and operated hardware stores in approximately 70 countries. Headquartered in Oak Brook, Ill., Ace and its subsidiaries operate an expansive network of distribution centers in the U.S. and have distribution capabilities in Ningbo, China; Colon, Panama; and Dubai, United Arab Emirates. Since 1924, Ace has become a part of local communities around the world and known as the place with the helpful hardware folks. For more information, visit acehardware.com or newsroom.acehardware.com.

Source: Raelle Alfaro


Data V Tech is proud to be one of the leading ERP vendors in the Asia Pacific. We have implemented Epicor ERP for many businesses in manufacturing, distribution, and retail in Vietnam and China. For direct consultation, please feel free to contact us.

Epicor ERP for Epoch Cosmetics

Epoch Cosmetics & Toiletries enhance efficiency with Epicor ERP

UAE-based manufacturer drawn to manufacturing-centric and multi-region capabilities of the market-leading solution.

Epicor Software Corporation, a global provider of industry-specific enterprise software to promote business growth, has announced that Epoch Cosmetics & Toiletries LLC has selected Enterprise Resource Planning (ERP) solution, Epicor ERP, to improve manufacturing and warehousing operations and streamline information flow across the company.

Epicor partner, Cork Information Technology, will work with Epoch Cosmetics & Toiletries’ stakeholders to bring the full power of the Epicor platform to the company and its employees.

Dubai-based Epoch Cosmetics & Toiletries produces aerosols, deodorants, air fresheners and cosmetics for markets all around the world-including its native United Arab Emirates (UAE), the Kingdom of Saudi Arabia, India, West Africa, Egypt, Oman, the UK, France, and the US.

The company supplies major brands-such as Elegant, Inspire, Pleasure, Hot & Cold, Mehas and The Scent-to distributors, and also offers contract manufacturing to other brands.

Having grown from a handful of employees to a monthly production capacity of more than two million products in just 10 years, Epoch Cosmetics & Toiletries realized they would need to replace their existing ERP solution to continue to expand and grow.

“As we grew, our legacy system was not catering to our needs, especially in manufacturing, warehousing, and sales,” said Abbas Hamid, Director at Epoch Cosmetics & Toiletries.

The company’s warehousing issues stemmed from a lack of real-time accuracy and visibility for on-hand stock levels from the front-end system. The necessity to implement manual workarounds was impacting productivity, and inaccuracies were affecting stock valuation. In addition, stock retrieval was employee-driven, rather than system-driven, leading to further inaccuracies if goods were not correctly stored. Other complications existed based on the absence of a stock-taking module in the legacy ERP, requiring warehouse employees to perform an entirely manual reconciliation.

“In addition, the manufacturing module within the legacy system only captured the cost of materials, so labor costs and direct costs were never captured. These had to be generated through manual calculations and estimations, which affected our financials,” said Hamid.

Reporting was also cumbersome, with pending PO reports and shipment tracking requiring manual preparation, and the system offered no capability for real-time reporting.

Epoch Cosmetics & Toiletries decided it needed an ERP system that was tailored to their business operations, was easy to deploy and use, and would be flexible enough to allow the company to grow unimpeded. After considering four major ERP vendors, Hamid and his team selected Epicor ERP due to the manufacturing-centric focus and native functionality of the solution.

“While we obviously needed some level of customization, we were very clear that we wanted to adapt to a system and be in line with best industry practices, rather than the other way around-where the system has to adapt to us,” said Hamid.

Epoch Cosmetics & Toiletries’ stakeholders were particularly drawn to the real-time reporting functionality of Epicor ERP, as well as its multi-region capabilities, so that future expansion plans would not be hampered and that consolidated reports could be easily compiled.

Implementation is expected to be completed by May 2020, and the company’s project team is currently working with regional Epicor partner, Cork Information Technology, to deploy the new solution to more than 40 users in the UAE. Supply chain, sales, CRM, manufacturing, finance and asset management will all be key areas of functionality that are expected to help enhance Epoch Cosmetics & Toiletries’ operations.

Epoch Cosmetics & Toiletries’ management team is hopeful that, with Epicor ERP in place, its operations will be streamlined, allowing it to expand as needed and implement international best standards in manufacturing. Also, given the ability for Epicor ERP to integrate with multiple third-party solutions, the company plans to work with Epicor to integrate modules for business analytics and intelligent manufacturing.

“All across the Middle East and North Africa region, manufacturing companies are trying to digitally transform, so that operations are optimized continually,” said Amel Gardner, Regional Director, Middle East, Africa and India (MEAI), Epicor.

“Processes that are overly manual impede growth, so digitization is the key to agility. Epoch Cosmetics & Toiletries realized its legacy architecture was holding back the fulfillment of its regional ambitions. When you have the vision to shake off the old and embrace the new, extraordinary things can happen. We are confident that with Epicor ERP in place, the company will march quickly towards a new horizon.”

Source: Mark Bowen


Data V Tech is proud to be one of the leading ERP vendors in the Asia Pacific. We have implemented Epicor ERP for many manufacturing businesses in Vietnam and China. For further information, please feel free to contact us.