IT Infrastructure Library Training Classes in Denver, Colorado

Learn IT Infrastructure Library in Denver, Colorado and surrounding areas via our hands-on, expert led courses. All of our classes are offered on an onsite, online and public instructor led basis. Here is a list of our current IT Infrastructure Library related training offerings in Denver, Colorado: IT Infrastructure Library Training

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When it comes to running a start up, leaders need to make sure that their key players are motivated. This has been seen with many companies. Back in the 1970's it was found with the inspiration and diligence of the late Daniel Nigro when he formed Kleer-Fax. More recently it was seen in David Khasidy, the founder and recently retired president of SunRay Power Management, the most dynamic green energy leader in the US today.

The question is, what is it that great leaders like David Khasidy and Daniel Nigro do that make the difference? How do the most vulnerable companies (start ups) break the mold and become a part of our everyday lives?

It starts with their mission and vision.

Create a Strong Mission and Vision

There are many reasons why start ups fail. For one, they usually lack the capital to last through the lean times. Secondly, they often don't have the tolerance for setbacks that occur. Lastly, they do not have a long-term plan, also called a mission.

When a business has a strong mission, the team knows it and their focus toward their work and service to others within and without the company reflects that. To complement that, the shorter term vision of the company needs to be present as well.

This can even be seen in sole proprietorships with no employees, such as when Brian Pascale started his law practice. His vision was to find justice for his clients while his mission was to build upon a career that had already set precedents in the area of tort law.

As his practice has grown, new staff members can sense the vision and mission he exudes.

Encourage Ownership of Projects and Processes

Start ups need to inspire and motivate their employees because they need to know that they are not only a part of something important, but that their contributions mean something.

What won't happen if they are not there? What contribution do they make, and what are the consequences of them not fulfilling their part of the work?

By encouraging ownership in projects, team members can find that the work they are doing is not only important for the organization, but that they are going to be a big part of what makes it happen. The alternative is that they feel replaceable.

Offer Incentives That Keep the Company Competitive

When team members embrace the mission and vision of the company, and then take ownership for the company's success, they are going to need to be justly rewarded.

This could include flexible schedules (for those who don't need a stringent one), use of an account at a nearby takeout place, or even the potential for ownership as a result of a vesting program.

The incentive everyone is looking for more immediately, though, is cash. When the company takes in more revenue as a result of the efforts of those on the team, rewarding them can go a long way not only in making them feel appreciated, but in encouraging them to bring in more business.

Members of a start up team are usually very talented, and commonly underpaid. However, if they believe they are going somewhere, it will make a big difference.

 

Related:

Good non-programmer jobs for people with software developer experience

Machine learning systems are equipped with artificial intelligence engines that provide these systems with the capability of learning by themselves without having to write programs to do so. They adjust and change programs as a result of being exposed to big data sets. The process of doing so is similar to the data mining concept where the data set is searched for patterns. The difference is in how those patterns are used. Data mining's purpose is to enhance human comprehension and understanding. Machine learning's algorithms purpose is to adjust some program's action without human supervision, learning from past searches and also continuously forward as it's exposed to new data.

The News Feed service in Facebook is an example, automatically personalizing a user's feed from his interaction with his or her friend's posts. The "machine" uses statistical and predictive analysis that identify interaction patterns (skipped, like, read, comment) and uses the results to adjust the News Feed output continuously without human intervention. 

Impact on Existing and Emerging Markets

The NBA is using machine analytics created by a California-based startup to create predictive models that allow coaches to better discern a player's ability. Fed with many seasons of data, the machine can make predictions of a player's abilities. Players can have good days and bad days, get sick or lose motivation, but over time a good player will be good and a bad player can be spotted. By examining big data sets of individual performance over many seasons, the machine develops predictive models that feed into the coach’s decision-making process when faced with certain teams or particular situations. 

General Electric, who has been around for 119 years is spending millions of dollars in artificial intelligence learning systems. Its many years of data from oil exploration and jet engine research is being fed to an IBM-developed system to reduce maintenance costs, optimize performance and anticipate breakdowns.

Over a dozen banks in Europe replaced their human-based statistical modeling processes with machines. The new engines create recommendations for low-profit customers such as retail clients, small and medium-sized companies. The lower-cost, faster results approach allows the bank to create micro-target models for forecasting service cancellations and loan defaults and then how to act under those potential situations. As a result of these new models and inputs into decision making some banks have experienced new product sales increases of 10 percent, lower capital expenses and increased collections by 20 percent. 

Emerging markets and industries

By now we have seen how cell phones and emerging and developing economies go together. This relationship has generated big data sets that hold information about behaviors and mobility patterns. Machine learning examines and analyzes the data to extract information in usage patterns for these new and little understood emergent economies. Both private and public policymakers can use this information to assess technology-based programs proposed by public officials and technology companies can use it to focus on developing personalized services and investment decisions.

Machine learning service providers targeting emerging economies in this example focus on evaluating demographic and socio-economic indicators and its impact on the way people use mobile technologies. The socioeconomic status of an individual or a population can be used to understand its access and expectations on education, housing, health and vital utilities such as water and electricity. Predictive models can then be created around customer's purchasing power and marketing campaigns created to offer new products. Instead of relying exclusively on phone interviews, focus groups or other kinds of person-to-person interactions, auto-learning algorithms can also be applied to the huge amounts of data collected by other entities such as Google and Facebook.

A warning

Traditional industries trying to profit from emerging markets will see a slowdown unless they adapt to new competitive forces unleashed in part by new technologies such as artificial intelligence that offer unprecedented capabilities at a lower entry and support cost than before. But small high-tech based companies are introducing new flexible, adaptable business models more suitable to new high-risk markets. Digital platforms rely on algorithms to host at a low cost and with quality services thousands of small and mid-size enterprises in countries such as China, India, Central America and Asia. These collaborations based on new technologies and tools gives the emerging market enterprises the reach and resources needed to challenge traditional business model companies.

I’ve been a technical recruiter for several years, let’s just say a long time.  I’ll never forget how my first deal went bad and the lesson I learned from that experience.  I was new to recruiting but had been a very good sales person in my previous position. I was about to place my first contractor on an assignment.  I thought everything was fine.  I nurtured and guided my candidate through the interview process with constant communication throughout.  The candidate was very responsive throughout the process.  From my initial contact with him, to the phone interview all went well and now he was completing his onsite interview with the hiring manager. 

Shortly thereafter, I received the call from the hiring manager that my candidate was the chosen one for the contract position, I was thrilled.  All my hard work had paid off.  I was going to be a success at this new game!  The entire office was thrilled for me, including my co-workers and my bosses.  I made a good win-win deal.  It was good pay for my candidate and a good margin for my recruiting firm. Everyone was happy. 

I left a voicemail message for my candidate so I could deliver the good news. He had agreed to call me immediately after the interview so I could get his assessment of how well it went.  Although, I heard from the hiring manager, there was no word from him.  While waiting for his call back, I received a call from a Mercedes dealership to verify his employment for a car he was trying to lease. Technically he wasn’t working for us as he had not signed the contract yet…. nor, had he discussed this topic with me.   I told the Mercedes office that I would get back to them.  Still not having heard back from the candidate, I left him another message and mentioned the call I just received.  Eventually he called back.  He wanted more money. 

I told him that would be impossible as he and I had previously agreed on his hourly rate and it was fine with him.  I asked him what had changed since that agreement.  He said he made had made much more money in doing the same thing when he lived in California.  I reminded him this is a less costly marketplace than where he was living in California.  I told him if he signed the deal I would be able to call the car dealership back and confirm that he was employed with us.  He agreed to sign the deal. 

The short answer is, yes and no. It depends upon who you are. The purpose of this entry is to help you determine, yes or no.

Full disclosure. This entry is created on a Mac mini. And doing so on Windows 8 (Release Preview). If you are a developer, in my humble opinion you need to test on all platforms you expect your app to run or you are not much of a developer.

To be successful you need to leave politics in geographical territory known as Washington DC. My definition of that is: 14 mi.² of real estate surrounded by reality.

Only in politics can we afford to take sides. Those of us in IT, especially developers need to do our best to be all things to all people. Certainly this is a technical impossibility. However in our game we can get some points for at least being serviceable if not outstanding.

Tech Life in Colorado

CNBC's list of "Top States for Business for 2010" has recognized Colorado as the third best state in the nation for business. Colorado is also the home to a bunch of federal facilities such as NORAD (North American Aerospace Defense Command, United States Air Force Academy, Schriever Air Force Base, Peterson Air Force Base, and Fort Carson. On top of the beautiful mountainous scenery and sunny weather, tech life has been brewing steadily in the last decade in Denver and Boulder.
The man who is too old to learn was probably always too old to learn.  ~Henry S. Haskins
other Learning Options
Software developers near Denver have ample opportunities to meet like minded techie individuals, collaborate and expend their career choices by participating in Meet-Up Groups. The following is a list of Technology Groups in the area.
Fortune 500 and 1000 companies in Colorado that offer opportunities for IT Infrastructure Library developers
Company Name City Industry Secondary Industry
Level 3 Communications, Inc Broomfield Telecommunications Telecommunications Other
Liberty Global, Inc. Englewood Telecommunications Video and Teleconferencing
Liberty Media Corporation Englewood Media and Entertainment Media and Entertainment Other
Western Union Company Englewood Financial Services Financial Services Other
Ball Corporation Broomfield Manufacturing Metals Manufacturing
Pilgrim's Pride Corporation Greeley Manufacturing Food and Dairy Product Manufacturing and Packaging
Molson Coors Brewing Company Denver Manufacturing Alcoholic Beverages
DISH Network Corporation Englewood Media and Entertainment Media and Entertainment Other
Arrow Electronics, Inc. Englewood Computers and Electronics Networking Equipment and Systems
DaVita, Inc. Denver Healthcare, Pharmaceuticals and Biotech Outpatient Care Centers
Blockbuster LLC Englewood Media and Entertainment Media and Entertainment Other
CH2M HILL Englewood Energy and Utilities Alternative Energy Sources
Newmont Mining Corporation Greenwood Vlg Agriculture and Mining Mining and Quarrying

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A successful career as a software developer or other IT professional requires a solid understanding of software development processes, design patterns, enterprise application architectures, web services, security, networking and much more. The progression from novice to expert can be a daunting endeavor; this is especially true when traversing the learning curve without expert guidance. A common experience is that too much time and money is wasted on a career plan or application due to misinformation.

The Hartmann Software Group understands these issues and addresses them and others during any training engagement. Although no IT educational institution can guarantee career or application development success, HSG can get you closer to your goals at a far faster rate than self paced learning and, arguably, than the competition. Here are the reasons why we are so successful at teaching:

  • Learn from the experts.
    1. We have provided software development and other IT related training to many major corporations in Colorado since 2002.
    2. Our educators have years of consulting and training experience; moreover, we require each trainer to have cross-discipline expertise i.e. be Java and .NET experts so that you get a broad understanding of how industry wide experts work and think.
  • Discover tips and tricks about IT Infrastructure Library programming
  • Get your questions answered by easy to follow, organized IT Infrastructure Library experts
  • Get up to speed with vital IT Infrastructure Library programming tools
  • Save on travel expenses by learning right from your desk or home office. Enroll in an online instructor led class. Nearly all of our classes are offered in this way.
  • Prepare to hit the ground running for a new job or a new position
  • See the big picture and have the instructor fill in the gaps
  • We teach with sophisticated learning tools and provide excellent supporting course material
  • Books and course material are provided in advance
  • Get a book of your choice from the HSG Store as a gift from us when you register for a class
  • Gain a lot of practical skills in a short amount of time
  • We teach what we know…software
  • We care…
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