If you are planning on purchasing an industrial-grade thermal label printer, you need to weigh several factors. Let's face it, these kind of machines are not cheap-they aren't like the flimsy ones that folks buy to make organizational labels for their home, or for scrapbooking-these are commercial level equipment, and they're designed to hold up to all the rigors of an industrial operation.
Pipe Marking Labels
So, with that in mind, here are the top 6 factors you should consider before you buy an industrial label maker:
1. Purpose: First off, what do you need to make heavy-duty labels for? Sure, these types of printers can make funny bumper stickers with a catchy slogan on it-but what do you REALLY need it for? Common uses for these are for making lots and lots of pipe markers, arc flash labels, and NFPA 704 "diamond" signs. They're also great for making safety slogans, caution and warning signs, 5S, lean, kaizen, and traffic marking stickers. Depending on how many you need, you might need to use it every day, or for sporadic printings throughout the year. These printers are great, because most of them can print on label tape up to 4 inches wide, and can spit labels out much quicker than those store-bought consumer ones. They can also take the heat and tougher environments of factories and warehouses.
2. Durability: Modern label makers are nearly flawless at their job. They use thermal transfer ribbons and heat seal the text or graphics from the ribbon to a compatible thermal label. This allows for a product that will last for many years before seeing much physical degradation or fading. They are water-resistant and even resist chemical wear.
3. Ease of Use: Many label makers come with their own proprietary software, but I would recommend buying a label maker that can be used with any kind of word processing software or even programs like Photoshop. This way, if you have a change in employees, move offices, or just plain lose the or
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Are you AI-First?
By editor Posted October 13, 2018 In Artificial Intelligence, Digital Strategy, Technology & Design 0
An AI-First company is an enterprise that has transformed to believe and understand the incredible and disruptive potential of Artificial Intelligence. Such an enterprise not only sees the value but can see the destructive impact of being left behind. An AI-First Company understands that it might not know all the answers but realizes that it needs to seek out a path forward with AI or risk being marginalized.
Key Characteristics of an AI-First Company
A-First companies might not be any different from their previous form but think and act differently. Here are some key characteristics of such companies.
Approach to Problems and Planning
An AI-First company evolves its approach to problems. AI-First companies realize that determining the existence of a problem and selecting the most consequential problems is a function of data and analytics. An AI-First company invests in building predictive mechanisms that can signal current or upcoming problems including the severity and priority of these problems. Building these predictive mechanisms becomes the first step in determining how and when to prepare for problems or upcoming issues. In addition, these companies leverage news and information that is generated inside and outside the enterprise as it is generated and ensure that their employees and customers have access to the insights embedded in the news and information.
Approach to Products and Product Development
An AI-First company understands how a prediction or classification could help them deliver a better solution to a problem faced by their customers and how their existing products can be adapted or new products created that change behavior based on the predictions and classifications. Enterprises that understand the power of AI ensure that data scientists come part of the core product ideation and development team with a heavy infl
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Believe it or not customer satisfaction is somewhat of a new focus within the business industry. For many years the main focus of business was based upon staying in the black, increasing sales, growing business visibility and making a product or supplying a service that is needed or valued. However, with the changing times of our variable economy, there has been a major shift in the business mindset. Instead of focusing inward on the business and its growth and financial aspects, many companies have chosen to move their focus outward towards the satisfaction of the customer. With this innovative mindset, companies are really trying to put customer satisfaction above all else. It is actually much easier to keep customers when they are satisfied with the product or service provided than it is to go out and attain new customers. In fact, new figures estimate that it will cost a company 5 to 8 times more money to reach out and attain a new customer than to just keep a current customer satisfied. Furthermore, if a customer is satisfied with a product they will often recommend or talk highly of the product to others within the industry as well. Word of mouth is a very powerful tool during this age of online communication. With the click of a button, a person can "like" or "recommend" a product to many other people on his or her communication database.
Much has and needs to be said about an enterprise's AI strategy. Artificial Intelligence or AI is considered a fundamentally disruptive technology similar to the steam engine, electricity etc, a technology that will be pervasive and absolute in its impact on the world and its inhabitants. The ability to find hidden patterns to predict the future or detect a behavior has massive implications across the world, in every industry, sector, and domain.
When faced with this realization, enterprise's can find themselves stuck, paralyzed and unsure about how to proceed. The field of AI is decades old already and the early success stories have been practicing AI for multiple years already with the tech industry leading the way. How can an enterprise that has no experience and competency in this area let alone lead the technology or even leverage it appropriately to drive business value?
When developing the AI strategy, two ideas are paramount. First, this a fundamentally disruptive technology and the enterprise will need to establish it as a core competency for the foreseeable future. Not doing so will not be an option. Second, a long-term plan to success is superseded by the need to drive quick wins and small successes not only to build confidence but use real-world experience to develop and hone that skill.
The Short-Term AI Strategy
The short-term AI strategy should focus on driving immediate business value through enhanced customer experiences that leverage any field of AI be it machine learning, deep learning, natural language processing etc. Driving the usage and deployment of AI in front of an end user making them smarter, productive and better informed can pay rich dividends by not only helping the enterprise can real-world experience, but it can also give a perception boost to the company as being innovative and cutting edge. However, most importantly, this can highlight and promote the success and potential of AI in the enterprise and encourage a snowball eff
SEO has been there since long, and it will always be there because ranking your website on Google and other search engines is indeed an art, and that is what SEO all about.
A website that doesn't rank on top pages for the most important keyword of its industry, then making sale or conversion is either tough or impossible.
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That is why SEO comes into the picture as it helps websites rank well on SERPs.
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With good results and strategic lead management, you can focus on your customers. This includes being better acquainted with these prospects, providing them with high-quality content and paying attention to the right timing, taking legal compliance into account. Find out how to generate more leads for sales in the future and how to automate B2B Lead Generation Strategies in 2019
Track your potential customers with the help of these top 5 marketing KPIs. Read this article to know how you will be able to attract more loyal customers.