System Centering Solutions, Ocala, Florida

Ocala, Florida

Ocala, Florida

Dr. Razdan's FCCM Hall of Fame Presentation

Electronics Industry

SCS has a rich background in the Electronics and Semiconductor Industry in areas such as Semiconductors, Electronics Design Automation (EDA), Electronics Manufacturing Services (EMS), and Enterprise Software. Some successful projects have included:

Semiconductors and Electronics Market:

  • Launching World's Fastest And First Out-Of-Order CPU.
  • Launching Wireless Power Technology Into The Marketplace.
  • Positioning Work For Reconfigurable Computing Technology For Client.
  • Positioning Work For Mobile Medical Device Company.

Electronics Design Automation Market:

  • Launching Some Of The Most Successful Functional Verification And Testing Products.
  • Working With Sr. Mgmt And Board On Strategic M&A.
  • Enabling Startup In Power Optimization Towards A Successful Exit.
  • Positioning Work For Verification IP Company.

Electronics Manufacturing Market:

  • Working With CEO For Positioning Of Company Into High Mix, Lower Volume Applications.
  • Working With CEO To Position The Power Adaptor Business.

Enterprise Software Market:

  • Working With Sr Mgmt To Fundamentally Change Software Development And Testing Process.
  • Working With IBM Rational To Enable Customers In The Area Of Multi-Site Development.

Where can we help?

Launching New Technologies: Positioning, Partners, Go-To-Market.
Optimizing Your Organization: Time-To-Develop, Time-To-Market.
Corporate Strategy: Positioning Vsv Technology/Business Trends.

Should private equity consolidate EDA?

(06/29/2017) Would EDA firms and the customers they serve be better of if EDA vendors went private?In the last decade, the three major EDA companies (Synopsys Inc., Cadence Design Systems Inc., and Mentor Graphics Corp.) have had a combined market capitalization which has stayed largely flat (approx $9.5 billion). In this same time period, the leading hamburger manufacturer, MacDonalds, grew shareholder value by 3X (from $28 billion to $99 billion) and the leading household goods manufacturer, Proctor and Gamble, grew shareholder value by over 50 percent (from $121 billion to $185 billion). This situation is obviously not good for shareholders, but the relatively stagnant state of the industry is also negative for customers and employees. EETimes Full Article HERE

An Artificial Intelligence Bot Approach to...

(05/24/2017) ​The Small Business (SMB) marketplace is a large marketplace (over 25 Million in the US alone) which lags the broader marketplace in terms of core business productivity. This is despite the fact that a number of cloud-based B2B software applications have the potential to significantly add productivity to this sector at reasonable prices. However, the SMB market has been traditionally considered to be the “dead end” for B2B companies because of the difficulties of distribution into the SMB marketplace.    The SMB marketplace is lodged between the traditional consumer market (over 300M consumer in the US)  and the enterprise market (fortune 500 companies).   In the enterprise market, the transaction size justifies a dedicated sales channel. However, for the SMB marketplace, the transaction size is typically much smaller, so a dedicated sales channel is not economically feasible.  In the consumer marketplace, the market size is large and broadcast based methods (TV commercials) have been demonstrated to be effective.  However,  from a point-of-view of market size, reach, and relevance mass broadcast methods are not efficient for the SMB marketplace.  In this paper, we describe an Artificial Intelligence Bot (AIB) technology combined with targeted mass market techniques to build a solution which has the sales focus characteristics of a dedicated sales channel in the context of a consumer like mass marketing campaign.  FULL PAPERPPT of PAPER

The Voice of Data Quality: Neither an Echo...

(12/02/2016) As published on on December 02, 2016 In the aftermath of the U.S. presidential election, and amidst cries about “the day data died,” it is fitting to respond to the purported demise of data and questions about the value of this subject in general. Let me, then, state at the outset that data are alive and well: It is the interpretation of data – selective by many and prejudicial by many more – that makes it seem that this material is irrelevant; that it has no voice, so to speak, except the one we choose (often erroneously) to give it; that the numbers are meaningless because, as Donald Trump’s victory over Hillary Clinton allegedly demonstrates, we should not trust this or any other kind of data.   In point of fact, the election should put an end to confirmation bias, not a stop to data. For the latter has a voice – it is the signal that separates itself from the noise – and it must be our responsibility not to confuse that sound for something it is not. It is our duty, not unlike that of a translator who seeks to best preserve the integrity of a document that he rewrites in a separate language, to stay true to the letter and spirit of the information before us.   If we take liberties with data, if we use the thinnest of pretexts to commit the most egregious of mistakes, if we choose to hear a portion of that signal while we ignore the entirety of its message, then it is very easy to lose your way. It becomes deceptively convenient to convert a few pings into a symphony of your own preference, one that says your candidate will win or your product with flourish or your business will thrive.   Our job is not to critique the sound, nor is it to muffle, distort or remix it. Rather, our task is to identify – and retransmit, in an accessible and intelligible manner – the totality of the things we hear; to know what the overall expression is, so we may respond to it with a campaign that resonates with voters or consumers or filmgoers or television viewers, or some other audience.  Remember, too, the words of the late physicist and Nobel Laureate Richard Feynman:  “The first principle is that you must not fool yourself – and you are the easiest person to fool.”  Put another way, data does not create fools; but fools create their own data. The latter is a grievous wrong because it proves another maxim by Feynman, this one having to do with the problems of social science. He says:    “Because of the success of science there is a kind of a … I think a kind of pseudoscience, social science is an example of a science which is not a science. They don’t do scientific … they follow the forms … you gather data, you do so and so and so forth but they don’t get any laws, they haven’t found anything, they haven’t got anywhere yet, maybe someday they will but it’s not very well developed, but what happens is… even on a more mundane level we get experts on everything. They sound like a sort of scientific experts. They are not scientists.”    Understand that data are not partisan. The sounds are what they are.    Whether we choose to listen to those sounds is our prerogative.

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