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CIRA Made a Terrible Mistake with a Domain Name Ad

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This article is sponsored content produced by Threat Intelligence Platform (TIP)—a data, tool, and API provider that specializes in automated threat detection, security analysis, and threat intelligence solutions for Fortune 1000 and cybersecurity companies.

The Canadian Internet Registration Authority (CIRA) recently launched a commercial that encourages Canadians to register a “.ca” domain name instead of a “.com”. While CIRA’s campaign seems commercially sound, it has failed to meet one expectation: Doing sufficient domain name monitoring to ensure it wasn’t infringing anyone’s rights.

In fact, CIRA’s ad showed a banner with a “.com” domain name in the background — leading to a problematic situation. The registrar did not realize the domain name shown was trademarked and owned by the Canadian Real Estate Association (CREA) and the National Association of Realtors (NAR). This incident was a terrible oversight on the domain registrar’s part, with potential legal implications for the registry.

When CIRA learned about its mistake, its representative delivered this message:

“We are really proud of, and stand behind, the ad. The reaction so far has been overwhelmingly positive. We look forward to helping as many Canadian businesses as possible get online with a .ca domain name.”

Domain names are crucial to any business with an online presence. Without a domain name, it would be impossible for an organization to send corporate emails or put up its own website. During the early days of the Internet, registering a domain name was a tedious and costly process. 

Today, however, the trouble with domain name registration lies more in that anyone can do it. Even cybercriminals can purchase and register a top-level domain (TLD) and put up malicious websites in hopes that victims would land on them and give out their personal information.

Easy-to-recall domain names related to brands have also become scarce because even individuals compete with businesses for them. Even famous brands have to deal with this challenge. 

Google, for instance, could not use alphabet.com because someone else owns it. Nissan, meanwhile, had to spend more than 20 years before it could acquire nissan.com from an individual named Uzi Nissan.

This scarcity, however, is now being alleviated by the introduction of new generic top-level domains (gTLDs) such as .bmw, .nike, and .mcdonalds along with country-code TLDs (ccTLDs) like .ca.

Despite the influx of new gTLDs and ccTLDs, however, .com domains remain the most sought after. As such, some businesses resort to convincing registrants to give up their domain names sometimes at exorbitant prices. The average price of a domain name bought from someone who already owns it is thousands of dollars. Cars.com is probably the most expensive domain to date, valued at US$872 million.

Other companies get lucky in that they find their hearts’ desires among discarded domains. In such cases, though, they should do due diligence to make sure the domains they wish to purchase were not given up for excellent reasons such as search engine results pages (SERP) and security violations. They should keep in mind that domains in Google’s blacklist, no matter how memorable, would never show up in search results because of SERP violations. Domains in security vendors’ blacklists, meanwhile, would always be blocked on computers where their solutions are installed.

To avoid ending up with domains that have a checkered past, users can use a WHOIS history checker before purchase. Such a tool would reveal everything about the domain in question. It can help future domain owners ensure that their websites do not have ties to any malicious activity, individual, or organization at any point in their life cycle.

Domain names have become more than just a means to gain online visibility. They are now unique identifiers that point to organizations’ brands. That is why it is important for all companies to make domain security a priority.

About the Author

Jonathan Zhang is the founder and CEO of Threat Intelligence Platform (TIP) — a data, tool, and API provider that specializes in automated threat detection, security analysis, and threat intelligence solutions for Fortune 1000 and cybersecurity companies. TIP is part of the Whois XML API family, a trusted intelligence vendor by over 50,000 clients.

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IoT + Blockchain = Product Intelligence: An equation that delivers secure monetization opportunities

In the equation IoT + X = Intelligence, what role can blockchain play as the X factor?

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One of the many advantages of the Internet of Things (IoT) is that it has introduced additional revenue streams. But to truly capitalize on these, companies might need to rely on yet another technology: blockchain.

The linear transactions involved in a traditional economy typically mean that a company produces a widget at the end of a series of interlinked processes — a product that customers then buy. Supply chain vendor interactions and marketing strategies cater to this linear model with the goal of increasing efficiencies and revenues along the way. 

Case Study: Advancing Smart Manufacturing Operations Value with Industry 4.0 Platform

But the traditional economy is giving way to new ways of doing business, spurred in part by Internet of Things (IoT)-enabled devices. The sharing economy upends the notion of an asset and the end product — think Uber and how it uses vehicles as shared assets. 

IoT allows for a larger number of opportunities where intelligence can be monetized. The assumption is that IoT-embedded devices used in manufacturing or other operations can yield valuable information about how they are being used. These device manufacturers in turn can buy and leverage that intelligence to fine tune use cases and product capabilities.

A secure ecosystem for IoT

To facilitate such sharing of intelligence, enterprises need to enable external entities to dip in and out of the information data pool that IoT generates. 

The enterprise needs to build an ecosystem comprising the following building blocks:

  • Enable access to the intelligence through an application programming interface
  • Enable commercial transactions to facilitate data transfer

While the idea of information monetization is a tempting one, companies also need to ensure that they’re maintaining a strict firewall around proprietary data, allowing only authorized packets to be shared.

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This is where blockchain can be useful. “Blockchain introduces trust,” says Jagmeet Singh, Director, Connected Products, at Cognizant. Think of blockchain as a ledger of information points where each data point is linked to the previous set in a series, creating a chain. The handy aspects of blockchain technology is that it always points to a single source of truth. Data cannot be altered, only added to. Such powerful encryption makes blockchain technology especially useful to deploy in conjunction with IoT devices. 

Instead of having to authenticate each transaction, blockchain can be used at scale to make authentication of partners much easier and faster, Singh says. “Now that you have established trust between devices, the speed of granting permissions to access needed data can be faster. You don’t have to go through authentication very time you make a call to a new device for transmission of data,” he adds.

Singh cautions that IoT embrace of blockchain is still not a reality. Stumbling blocks include the difficulties in bringing together different stakeholders with varying objectives. “You have to clearly articulate what the development infrastructure is going to look like, you have to navigate compliance issues,” Singh says. 

Blockchain introduces trust (and therefore, security) and transparency into the IoT equation, thereby enabling operations intelligence at scale, Singh says. Enterprises are evaluating which IoT-enabled assets might participate in such a new shared economy and what the infrastructure for such a system might look like. 

[Download]: Real Estate Manager Goes Digital

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IoT + Data Analytics = Store Operations Intelligence

How many times have you visited a grocery store the day before a snowstorm or other major weather event only to find the bread and milk aisles wiped clean? What might be a disappointment for you is also a missed opportunity for grocery stores, an industry with an already razor-thin 2% margin.

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How many times have you visited a grocery store the day before a snowstorm or other major weather event only to find the bread and milk aisles wiped clean? What might be a disappointment for you is also a missed opportunity for grocery stores, an industry with an already razor-thin 2% margin.

Hungry for efficiencies

Inventory management, especially for perishables, is a delicate dance. Too little of it and grocers have lost a revenue opportunity every time a customer leaves empty-handed. Too much of it and grocers lose revenue again, this time from spoilage or having to slash prices to clear shelves. Spoilage is a significant problem — grocery retailers lose an astounding $70 million annually because of food simply going bad. 

Market economics further muddies the picture. A whopping 82% of grocery companies are increasing their stock of fresh foods in response to customer demand so there’s simply more perishables to manage — and therefore more at stake.

To ensure not too much capital is tied up in unsold goods, grocery stores forecast demand and supply based on a variety of conditions, including weather, time of year, and even weekly foot traffic. But as Cognizant as observed, a whole host of additional factors affecting inventory management can drain grocery store revenues.

[Download]: Real Estate Manager Goes Digital

Smart systems

One of Cognizant’s clients, a major supermarket chain, found that working with older equipment also challenged inventory management. 

Internet of Things (IoT)-embedded sensors track ambient temperature, temperature of the food, humidity and even electric current flowing into refrigerators to keep a pulse on perishables. But this leads to grocery stores drowning in data. The sensors cry wolf too often forcing the retailer to waste expensive technician time on every perceived crisis. Such waste happens because too often, sensors do not accurately reflect the whole story. 

Cognizant has shown that data alone is not enough, strategic reading of the data tea leaves also matters in increasing efficiencies. Using the IoT sensors, Cognizant helped the grocery retailer monitor inventory in real time — the pressure on sensitized shelves changes when inventory counts drop — and restock accordingly. Even better, Cognizant’s solution analyzed the data feed in real time, at the edge. Algorithms accounted for many variables including work load, cost of energy at different times of the day, whether the door was open or closed, to recommend intelligent solutions. 

Using edge data analytics and IoT sensors, grocery stores can automate many fixes, proactive reorder inventory and even automatically churn out work orders for technicians only as and when needed.

When inventory management is a delicate and challenging operation, grocery retailers need to be strategic about how they invest precious resources. IoT + edge analytics is a game-changer. It gives retailers the intelligence they need to deploy resources effectively and proactively so they can better cater to demand and cut waste. 

IoT-driven asset management and data analytics will be key to success in the grocery industry. Climate change has increased the clamor for sustainability and less food waste. The timing for smart solutions could not be better.

Read more about Cognizant’s IoT refrigeration solution here.

[Download]: Real Estate Manager Goes Digital

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IoT + Big Data = Facilities Management Intelligence

In the equation IoT + X = Operations Intelligence, what role does big data play in facilities management?

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The way we work today has changed. The workforce is becoming mobile and companies rent temporary space depending on needs.

At the same time, facilities management professionals have a number of mandates, says Nancy Berce, chief information officer at Johnson Controls. They need to control costs while still delivering personalized experiences. They need to regulate access so only authorized personnel can enter key areas of buildings. They need to conform to wider regulations imposed by the pressing concerns of climate change.

[Download]: Real Estate Manager Goes Digital

The Internet of Things (IoT) helps deliver such efficiencies by helping facilities management professionals harvest and analyze big data — smarter and at scale.

The parallel evolution of big data and IoT

Facilities management professionals have monitored heating and cooling systems and fire and security systems for decades. But IoT has delivered a fundamental shift in how that monitoring occurs. IoT-embedded devices can relay health of the equipment in real time and the big data from such equipment help professionals manage facilities on a much more granular level.

No more blindly replacing all the light bulbs every six months. A digital-enabled platform can alert professionals to systems that are in danger of failing so the appropriate actions kick into action only as and when needed — with minimum cost to the facility and minimum disruption to the worker. “We now have a level of intelligence and insight from smart algorithms where we can be proactive about preventative maintenance and predict efficiency opportunities a lot sooner,” Berce says. 

How to leverage big data and IoT

Johnson Controls’ Bee’ah green building project, illustrates just how smart IoT-driven buildings can drive efficiencies at scale to deliver a nearly fully automated workplace of the future, with temperature and lighting controls just a few of the parameters that adjust depending on workforce distribution. 

IoT increases the number of data sets that facilities can play with and allows them to pinpoint trouble before it brings down the entire system. How does one leverage the benefits of big data and IoT to deliver intelligence?

Case Study: Advancing Smart Manufacturing Operations Value with Industry 4.0 Platform

First, connecting all the big data points together is key to see the larger picture, Berce says. Companies might already have the information they need for smarter operations, but they might be in silos. IoT data related to security, for example, can be connected to an active employee directory, to automate entry to more sensitive areas of buildings (think operating rooms in hospitals). Companies can even marry IoT systems with external weather data to manage their cooling systems.

Second, understand the insights you are looking for and use IoT accordingly, Berce says.

Third, retrofit legacy systems with IoT devices as needed. 

Finally, make the data analysis easy to visualize, advises Berce. A digital platform where professionals can easily detect anomalies makes it better to find the needle in the haystack and act on the intelligence that big data and IoT are delivering. 

IoT and big data allow professionals to do all things at once — to both zoom in and zoom out as needed. Such flexibility allows facilities management to meet the growing demands for efficiency while customizing personalized experiences for each and every worker.

[Download]: A New Approach to PLM

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