IBM Training Classes in Corona, California
Learn IBM in Corona, California 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 Corona, California: IBM Training
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Blog Entries publications that: entertain, make you think, offer insight
Last year, Hewlett-Packard purchased Autonomy for $10 billion, enduring a number of arrows from its competitor Oracle. What a difference a year is!
Since the purchase HP saw the leaving of Autonomy CEO Mike Lynch, which was not on friendly terms. It also saw the departure of the whole original management team and 20 percent of the staff. Now, the question is whether or not HP will see its move compensate or become another WebOS-style fiasco, marking the company needs to stay with hardware.
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.
Being treated like a twelve year old at work by a Tasmanian-devil-manager and not sure what to do about it? It is simply a well-known fact that no one likes to be micro managed. Not only do they not like to be micro managed, but tend to quit for this very reason. Unfortunately the percentage of people leaving their jobs for this reason is higher that you would imagine. Recently, an employee retention report conducted by TINYpulse, an employee engagement firm, surveyed 400 full-time U.S. employees concluded that, "supervisors can make or break employee retention."
As companies mature, their ability to manage can be significant to their bottom line as employee morale, high staff turnover and the cost of training new employees can easily reduce productivity and consequently client satisfaction. In many cases, there is a thin line between effective managing and micro managing practices. Most managers avoid micro managing their employees. However, a decent percentage of them have yet to find effective ways to get the most of their co-workers. They trap themselves by disempowering people's ability to do their work when they hover over them and create an unpleasant working environment. This behavior may come in the form of incessant emailing, everything having to be done a certain way (their way), desk hovering, and a need to control every part of an enterprise, no matter how small.
Superimpose the micro manager into the popular practice of Agile-SCRUM methodology and you can imagine the creative ways they can monitor everything in a team, situation, or place. Although, not always a bad thing, excessive control, can lead to burnout of managers and teams alike. As predicted, agile project management has become increasingly popular in the last couple of decades in project planning, particularly in software development. Agile methodology when put into practice, especially in IT, can mean releasing faster functional software than with the traditional development methods. When done right, it enables users to get some of the business benefits of the new software faster as well as enabling the software team to get rapid feedback on the software's scope and direction.
Despite its advantages, most organizations have not been able to go “all agile” at once. Rather, some experiment with their own interpretation of agile when transitioning. A purist approach for instance, can lead to an unnecessarily high agile project failure, especially for those that rely on tight controls, rigid structures and cost-benefit analysis. As an example, a premature and rather rapid replacement of traditional development without fully understating the implications of the changeover process or job roles within the project results in failure for many organizations.
Studying a functional programming language is a good way to discover new approaches to problems and different ways of thinking. Although functional programming has much in common with logic and imperative programming, it uses unique abstractions and a different toolset for solving problems. Likewise, many current mainstream languages are beginning to pick up and integrate various techniques and features from functional programming.
Many authorities feel that Haskell is a great introductory language for learning functional programming. However, there are various other possibilities, including Scheme, F#, Scala, Clojure, Erlang and others.
Haskell is widely recognized as a beautiful, concise and high-performing programming language. It is statically typed and supports various cool features that augment language expressivity, including currying and pattern matching. In addition to monads, the language support a type-class system based on methods; this enables higher encapsulation and abstraction. Advanced Haskell will require learning about combinators, lambda calculus and category theory. Haskell allows programmers to create extremely elegant solutions.
Scheme is another good learning language -- it has an extensive history in academia and a vast body of instructional documents. Based on the oldest functional language -- Lisp -- Scheme is actually very small and elegant. Studying Scheme will allow the programmer to master iteration and recursion, lambda functions and first-class functions, closures, and bottom-up design.
Supported by Microsoft and growing in popularity, F# is a multi-paradigm, functional-first programming language that derives from ML and incorporates features from numerous languages, including OCaml, Scala, Haskell and Erlang. F# is described as a functional language that also supports object-oriented and imperative techniques. It is a .NET family member. F# allows the programmer to create succinct, type-safe, expressive and efficient solutions. It excels at parallel I/O and parallel CPU programming, data-oriented programming, and algorithmic development.
Scala is a general-purpose programming and scripting language that is both functional and object-oriented. It has strong static types and supports numerous functional language techniques such as pattern matching, lazy evaluation, currying, algebraic types, immutability and tail recursion. Scala -- from "scalable language" -- enables coders to write extremely concise source code. The code is compiled into Java bytecode and executes on the ubiquitous JVM (Java virtual machine).
Like Scala, Clojure also runs on the Java virtual machine. Because it is based on Lisp, it treats code like data and supports macros. Clojure's immutability features and time-progression constructs enable the creation of robust multithreaded programs.
Erlang is a highly concurrent language and runtime. Initially created by Ericsson to enable real-time, fault-tolerant, distributed applications, Erlang code can be altered without halting the system. The language has a functional subset with single assignment, dynamic typing, and eager evaluation. Erlang has powerful explicit support for concurrent processes.
Tech Life in California
Company Name | City | Industry | Secondary Industry |
---|---|---|---|
Mattel, Inc. | El Segundo | Retail | Sporting Goods, Hobby, Book, and Music Stores |
Spectrum Group International, Inc. | Irvine | Retail | Retail Other |
Chevron Corp | San Ramon | Energy and Utilities | Gasoline and Oil Refineries |
Jacobs Engineering Group, Inc. | Pasadena | Real Estate and Construction | Construction and Remodeling |
eBay Inc. | San Jose | Software and Internet | E-commerce and Internet Businesses |
Broadcom Corporation | Irvine | Computers and Electronics | Semiconductor and Microchip Manufacturing |
Franklin Templeton Investments | San Mateo | Financial Services | Investment Banking and Venture Capital |
Pacific Life Insurance Company | Newport Beach | Financial Services | Insurance and Risk Management |
Tutor Perini Corporation | Sylmar | Real Estate and Construction | Construction and Remodeling |
SYNNEX Corporation | Fremont | Software and Internet | Data Analytics, Management and Storage |
Core-Mark International Inc | South San Francisco | Manufacturing | Food and Dairy Product Manufacturing and Packaging |
Occidental Petroleum Corporation | Los Angeles | Manufacturing | Chemicals and Petrochemicals |
Yahoo!, Inc. | Sunnyvale | Software and Internet | Software and Internet Other |
Edison International | Rosemead | Energy and Utilities | Gas and Electric Utilities |
Ingram Micro, Inc. | Santa Ana | Computers and Electronics | Consumer Electronics, Parts and Repair |
Safeway, Inc. | Pleasanton | Retail | Grocery and Specialty Food Stores |
Gilead Sciences, Inc. | San Mateo | Healthcare, Pharmaceuticals and Biotech | Pharmaceuticals |
AECOM Technology Corporation | Los Angeles | Real Estate and Construction | Architecture,Engineering and Design |
Reliance Steel and Aluminum | Los Angeles | Manufacturing | Metals Manufacturing |
Live Nation, Inc. | Beverly Hills | Media and Entertainment | Performing Arts |
Advanced Micro Devices, Inc. | Sunnyvale | Computers and Electronics | Semiconductor and Microchip Manufacturing |
Pacific Gas and Electric Corp | San Francisco | Energy and Utilities | Gas and Electric Utilities |
Electronic Arts Inc. | Redwood City | Software and Internet | Games and Gaming |
Oracle Corporation | Redwood City | Software and Internet | Software and Internet Other |
Symantec Corporation | Mountain View | Software and Internet | Data Analytics, Management and Storage |
Dole Food Company, Inc. | Thousand Oaks | Manufacturing | Food and Dairy Product Manufacturing and Packaging |
CBRE Group, Inc. | Los Angeles | Real Estate and Construction | Real Estate Investment and Development |
First American Financial Corporation | Santa Ana | Financial Services | Financial Services Other |
The Gap, Inc. | San Francisco | Retail | Clothing and Shoes Stores |
Ross Stores, Inc. | Pleasanton | Retail | Clothing and Shoes Stores |
Qualcomm Incorporated | San Diego | Telecommunications | Wireless and Mobile |
Charles Schwab Corporation | San Francisco | Financial Services | Securities Agents and Brokers |
Sempra Energy | San Diego | Energy and Utilities | Gas and Electric Utilities |
Western Digital Corporation | Irvine | Computers and Electronics | Consumer Electronics, Parts and Repair |
Health Net, Inc. | Woodland Hills | Healthcare, Pharmaceuticals and Biotech | Healthcare, Pharmaceuticals, and Biotech Other |
Allergan, Inc. | Irvine | Healthcare, Pharmaceuticals and Biotech | Biotechnology |
The Walt Disney Company | Burbank | Media and Entertainment | Motion Picture and Recording Producers |
Hewlett-Packard Company | Palo Alto | Computers and Electronics | Consumer Electronics, Parts and Repair |
URS Corporation | San Francisco | Real Estate and Construction | Architecture,Engineering and Design |
Cisco Systems, Inc. | San Jose | Computers and Electronics | Networking Equipment and Systems |
Wells Fargo and Company | San Francisco | Financial Services | Banks |
Intel Corporation | Santa Clara | Computers and Electronics | Semiconductor and Microchip Manufacturing |
Applied Materials, Inc. | Santa Clara | Computers and Electronics | Semiconductor and Microchip Manufacturing |
Sanmina Corporation | San Jose | Computers and Electronics | Semiconductor and Microchip Manufacturing |
Agilent Technologies, Inc. | Santa Clara | Telecommunications | Telecommunications Equipment and Accessories |
Avery Dennison Corporation | Pasadena | Manufacturing | Paper and Paper Products |
The Clorox Company | Oakland | Manufacturing | Chemicals and Petrochemicals |
Apple Inc. | Cupertino | Computers and Electronics | Consumer Electronics, Parts and Repair |
Amgen Inc | Thousand Oaks | Healthcare, Pharmaceuticals and Biotech | Biotechnology |
McKesson Corporation | San Francisco | Healthcare, Pharmaceuticals and Biotech | Pharmaceuticals |
DIRECTV | El Segundo | Telecommunications | Cable Television Providers |
Visa, Inc. | San Mateo | Financial Services | Credit Cards and Related Services |
Google, Inc. | Mountain View | Software and Internet | E-commerce and Internet Businesses |
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 California 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…