IBM Training Classes in New Brunswick, New Jersey
Learn IBM in New Brunswick, NewJersey and surrounding areas via our hands-on, expert led courses. All of our classes either are offered on an onsite, online or public instructor led basis. Here is a list of our current IBM related training offerings in New Brunswick, New Jersey: IBM Training
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Blog Entries publications that: entertain, make you think, offer insight
Smart Project Management –Best Practices of Good Managers
Project management could be one of the easiest jobs on the planet, and could also be the worst nightmare. The difference between the two extremes depends on smart management of a project. According to the project management institute, there are five phases in project management - Initiating, Planning, Executing, Monitoring & Controlling, and Closing.
Every manager has his own style of project management. But there are a lot of contributing factors that result in a successfully managed project. These factors vary from project to project, but they all contain some common elements.
1. Setting SMART Goals
The mainstay of a corporation is the data that it possesses. By data, I mean its customer base, information about the use of its products, employee roles and responsibilities, the development and maintenance of its product lines, demographics of supporters and naysayers, financial records, projected sales ... It is in the organization of this data that advancements to the bottom line are often realized i.e. the nuggets of gold are found. Defining what is important, properly cataloging the information, developing a comprehensive protocol to access and update this information and discerning how this data fits into the corporate venacular is basis of this data organization and may be the difference between moving ahead of the competition or being the one to fall behind.
Whenever we attempt to develop an Enterprise Rule Application, we must begin by harvesting the data upon which those rules are built. This is by no means an easy feat as it requires a thorough understanding of the business, industry, the players and their respective roles and the intent of the application. Depending upon the scope of this undertaking, it is almost always safe to say that no one individual is completely knowledgeable to all facets needed to comprise the entire application.
The intial stage of this endeavor is, obviously, to decide upon the intent of the application. This requires knowledge of what is essential, what is an add-on and which of all these requirements/options can be successfully implemented in the allotted period of time. The importance of this stage cannot be stressed enough; if the vision/goal cannot be articulated in a manner that all can understand, the knowledge tap will be opened to become the money drain. Different departments may compete for the same financial resources; management may be jockeying for their day in the sun; consulting corporations, eager to win the bid, may exaggerate their level of competency. These types of endeavors require those special skills of an individual or a team of very competent members to be/have a software architect, subject matter expert and business analyst.
Once the decision has been made and the application development stages have been defined, the next step is to determine which software development tools to employ. For the sake of this article, we will assume that the team has chosen an object oriented language such as Java and a variety of J EE components, a relationsional database and a vendor specific BRMS such as Blaze Advisor. Now, onto the point of this article.
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.
The iconic software company that is based in King County Washington has been getting almost universally slammed from it's recent Los Angeles press announcement about its entry into the hardware business with the convertible laptop/tablet known as Surface.
Certainly I can see the point that it is now competing with its hardware vendors/partners. Intel has done a good job in the arena creating 'reference designs' without competing with its partners.
There is another viewpoint which seems to be ignored. The cold facts are Microsoft is a public company. This puts Microsoft in a legal position of doing the most it can to return value to its shareholders. Failure to do so means somebody is going to jail.
Microsoft has a vision, which at the end of the day is, a certain way to get enough people to see enough value to hand over their money, to fulfill their fiduciary duty.
Tech Life in New Jersey
Company Name | City | Industry | Secondary Industry |
---|---|---|---|
HCB, Inc. | Paramus | Retail | Office Supplies Stores |
Wyndham Worldwide Corp. | Parsippany | Travel, Recreation and Leisure | Hotels, Motels and Lodging |
Realogy Corporation | Parsippany | Real Estate and Construction | Real Estate Agents and Appraisers |
Church and Dwight Co., Inc. | Trenton | Manufacturing | Manufacturing Other |
Curtiss-Wright Corporation | Parsippany | Manufacturing | Aerospace and Defense |
American Water | Voorhees | Energy and Utilities | Water Treatment and Utilities |
Cognizant Technology Solutions Corp. | Teaneck | Computers and Electronics | IT and Network Services and Support |
The Great Atlantic and Pacific Tea Co. - AandP | Montvale | Retail | Grocery and Specialty Food Stores |
COVANCE INC. | Princeton | Healthcare, Pharmaceuticals and Biotech | Pharmaceuticals |
K. Hovnanian Companies, LLC. | Red Bank | Real Estate and Construction | Architecture,Engineering and Design |
Burlington Coat Factory Corporation | Burlington | Retail | Clothing and Shoes Stores |
GAF Materials Corporation | Wayne | Manufacturing | Concrete, Glass, and Building Materials |
Pinnacle Foods Group LLC | Parsippany | Manufacturing | Food and Dairy Product Manufacturing and Packaging |
Actavis, Inc | Parsippany | Healthcare, Pharmaceuticals and Biotech | Pharmaceuticals |
Hudson City Savings Bank | Paramus | Financial Services | Banks |
Celgene Corporation | Summit | Healthcare, Pharmaceuticals and Biotech | Biotechnology |
Cytec Industries Inc. | Woodland Park | Manufacturing | Chemicals and Petrochemicals |
Campbell Soup Company | Camden | Manufacturing | Food and Dairy Product Manufacturing and Packaging |
Covanta Holding Corporation | Morristown | Energy and Utilities | Energy and Utilities Other |
New Jersey Resources Corporation | Wall Township | Energy and Utilities | Gas and Electric Utilities |
Quest Diagnostics Incorporated | Madison | Healthcare, Pharmaceuticals and Biotech | Diagnostic Laboratories |
Rockwood Holdings Inc. | Princeton | Manufacturing | Chemicals and Petrochemicals |
Heartland Payment Systems, Incorporated | Princeton | Financial Services | Credit Cards and Related Services |
IDT Corporation | Newark | Telecommunications | Wireless and Mobile |
John Wiley and Sons, Inc | Hoboken | Media and Entertainment | Newspapers, Books and Periodicals |
Bed Bath and Beyond | Union | Retail | Retail Other |
The Children's Place Retail Stores, Inc. | Secaucus | Retail | Clothing and Shoes Stores |
Hertz Corporation | Park Ridge | Travel, Recreation and Leisure | Rental Cars |
Public Service Enterprise Group Incorporated | Newark | Energy and Utilities | Gas and Electric Utilities |
Selective Insurance Group, Incorporated | Branchville | Financial Services | Insurance and Risk Management |
Avis Budget Group, Inc. | Parsippany | Travel, Recreation and Leisure | Rental Cars |
Prudential Financial, Incorporated | Newark | Financial Services | Insurance and Risk Management |
Merck and Co., Inc. | Whitehouse Station | Healthcare, Pharmaceuticals and Biotech | Pharmaceuticals |
Honeywell International Inc. | Morristown | Manufacturing | Aerospace and Defense |
C. R. Bard, Incorporated | New Providence | Healthcare, Pharmaceuticals and Biotech | Medical Supplies and Equipment |
Sealed Air Corporation | Elmwood Park | Manufacturing | Plastics and Rubber Manufacturing |
The Dun and Bradstreet Corp. | Short Hills | Business Services | Data and Records Management |
The Chubb Corporation | Warren | Financial Services | Insurance and Risk Management |
Catalent Pharma Solutions Inc | Somerset | Healthcare, Pharmaceuticals and Biotech | Healthcare, Pharmaceuticals, and Biotech Other |
Becton, Dickinson and Company | Franklin Lakes | Healthcare, Pharmaceuticals and Biotech | Medical Supplies and Equipment |
NRG Energy, Incorporated | Princeton | Energy and Utilities | Gas and Electric Utilities |
TOYS R US, INC. | Wayne | Retail | Department Stores |
Johnson and Johnson | New Brunswick | Healthcare, Pharmaceuticals and Biotech | Pharmaceuticals |
Automatic Data Processing, Incorporated (ADP) | Roseland | Business Services | HR and Recruiting Services |
training details locations, tags and why hsg
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.
- We have provided software development and other IT related training to many major corporations in New Jersey since 2002.
- 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 IBM programming
- Get your questions answered by easy to follow, organized IBM experts
- Get up to speed with vital IBM 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…