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Monthly Archives: December 1970

Important Things To Consider Before Buying Heavy Equipment At Auction

Thankyou for reading my site, here’s a piece i actually enjoyed reading. With their permission i can repost it. I write plenty of my own content, but occasionally repost other articles i think are remarkable, thanks for reading.

earpieceHeavy equipment is very expensive if you purchase it in brand new condition.

This is the reason that most people prefer buying heavy equipment. You must however be careful about certain things even while you are buying heavy equipment at auction.
Age: Age of the equipment is easily the most important thing you must consider. Age must not only be considered in calendar years but also in the terms of usage units. Usage units are counted in hours of usage. As the machinery is used, its parts tend to wear.

This may be fast wear and tear in case of belts and such rubber parts of slow in case of metallic parts. You must check the degree of wear and tear that a machine has gone through before bidding for it.
Usage History: The second main thing that you must consider in such a deal. As a rule of thumb the heavy equipment is built very sturdily. It can withstand most of the wear and tear of normal usage. Generally for heavy equipment, normal usage means exposure to extreme conditions.

It is however not consider rough handling. You must understand the difference between usage in rough conditions and rough handling
While the former involves use of equipment in tough terrain, the latter means general negligence in the manner in which equipment is handles. Naturally while the former is considered acceptable, the latter is not as it exposes machinery to undue stress. If equipment has been roughly handled, purchasing it is a foolish decision.

Price Differential: The main reason that you opt for buying heavy equipment at auction is the low cost involved. However this is more like a compromise between lesser price and decreased lifetime of device. It is not really a great idea to purchase heavy equipment at auction unless the price to value factor is favorable along with the overall price differential.

Naturally purchasing new machine is better in comparison to a nearly priced machine at auction.
Technology Used In The Equipment: Heavy equipment is one area where technology advances at a blinding pace. You could not want to invest your money on equipment which has aging or outdated technology. It is not a great idea to spend big money buying heavy equipment at auction and still be leasing the equipment because what you purchased comes with outdated technology.

Generally the auctioneers perform extensive testing on the equipment they are about to auction. Keep in mind that you may be required to raise money from loans and such means even for buying heavy equipment at auction. Ask the auctioneers for the results of their testing and always cross check before the hammer falls.

Making Her Into Reality

headset. earphonesMaking “Her” Into Reality
This site was appealing to me so i just had to share with all my readers

Spike Jonze’s latest movie, “Her,” creates a future where technology is less visible, yet more ubiquitous than today. The main character uses an earpiece and handheld device to communicate with an operating system that follows a user across any platform, rarely utilizing the traditional desktop screens except when at work. And the main way of interacting with the operating system is through natural, conversational speech.

Even though it is science fiction, “Her” seems to be the end state for many current acquisitions and research from real-life tech companies. These companies are pursuing enhanced artificial intelligence and speech recognition. And the companies who don’t jump on this future will be left in the digital dust.

Established artificial intelligence
The most well-known characters in AI today are IBM’s Watson and Apple’s Siri.

Watson takes human’s natural language and filters through data to find the most probable answers. It can take “unstructured data,” that is, data computers typically cannot read because it isn’t structured in tables, rows, or columns, and turn it into knowledge accessible not through complex queries but simple, vocal questions. It’s now being used to help doctors find better cancer treatments and financial planners find better investments. IBM hopes Watson will bring in $1 billion in revenue by 2018.

Siri first debuted in Apple’s iPhone 4S, allowing for simple functions like searching the web and initiating a call or writing a text message. The latest iOS version added more functionality for Siri, like sourcing information from Wikipedia and Twitter.

Apple’s latest acquisitions point to further enhancements for Siri. In 2013, the company picked up intelligent calendar application Cue, which helps layout a user’s day similar to Google Now. It also bought Topsy, which allowed customers to analyze and search social posts. And, a recently published patent points to expanding Siri from phones to docks.

Up and coming AI
Now, Google spent a rumored $400 million on an artificial intelligence company called DeepMind. DeepMind’s website describes its software as useful in “simulations, e-commerce, and games,” and the company has an impressive talent list with a former child chess prodigy and a Skype co-creator. This piles on to Google’s other recent acquisitions of robot maker Boston Dynamics and smart home hardware maker Nest. If Google can succeed in integrating these seemingly disparate companies, it seems like having a conversation with your thermostat isn’t too far off.

Losers of an AI future
While these companies are priming themselves to own any science fiction-like future, there are companies doomed to languish if they don’t change their path.

This includes the lowly hardware maker. The future presented in “Her” doesn’t contain several devices in multiple form factors as we have now, but one handheld device and one wearable earpiece that connects to a cloud-based operating system. IBM, a case study in staying relevant, keeps shedding its hardware operations with its latest $2.3 billion sale of its server business to Lenovo. As the main players build their artificially intelligent ecosystems, the hardware becomes less important as it’s commoditized, and the main differentiation becomes software. Companies might also want more control over their hardware and the user experience, and produce their own. For example, Apple recently purchased a cutting-edge chip maker, Primesense. Microsoft stepped into producing its own hardware with its Surface tablets.

Just a movie?
On the other hand, “Her,” like most future predictions, could be far off base. While it seems artificial intelligence will play a large role in future computing, we may combine such technology with even more screens. The point where computers become more intelligent than humans, called the singularity, may not come as quickly as predicted, and these future bets may be too far off to have any impact on company values today.

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