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Paper was invented by the Chinese and they were the first to have wallpaper by gluing rice paper to the wall, as far back as 200 B.C. By 104 A.D., they had progressed to making paper from rags and other textile waste. This was the beginning of paper that we have today.The history of wallpaper, from invention to the current day.

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 Second, a long-term plan to success is superseded by the need to drive quick wins and small successes not only to build confidence but use real-world experience to develop and hone that skill.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

Workplace practices for keeping employees safe and improving the safety of their environments has improved vastly over the past century. While part of this improvement comes, without a doubt, from the vast leaps in technology. An equally important piece of the puzzle comes from what we've learned from experience. For the most part, processes that don't work get phased out while those that do get brought conveniently to the forefront of publications and articles to help industries constantly re-invent and improve their "best practices" for safety. One system we're glad to see making its exit in recent years, is the "simple" safety system, in which safety statistics and decisions are based almost exclusively on the opinions of management and the actual reported accidents and injuries that occur on the job. While the latter part of that system can provide useful data, it is reactionary rather than preventative, and requires someone to get injured or property to get damaged before corrective measures are taken.

The 1950s and '60s were known as the brilliant time of advertising in light of the fact that no other period saw such inventive, weighty advertisement imaginative. Madison Avenue's "Psychos" were loved as well as were given the opportunity to analyze, the aftereffects of which empowered a significant number of their customers to rule piece of the pie. A promotion crusade's prosperity rose or fell on the correct jingle, strong joke or flawless mental trigger - all determined by an undaunted promise to magnifice........