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The discussion up to this point has been of traditional voice communications systems Such systems can be characterized as circuit-switched, TDM based, and highly proprietary The underlying technologies are very mature and the systems built on them are highly reliable Since the mid-1990s, a great deal of effort has been expended on the development of the next generation of voice systems Such systems take several forms but generally can be characterized as being computer based, programmable, and client/server in nature They also, generally speaking, support IP-based packet voice and data over an Ethernet LAN Computer Telephony (CT), a term coined by Howard Bubb of Dialogic Corporation (subsequently acquired by Intel) and a concept later championed by my old friend Harry Newton, can be characterized as a 3.

5G technology, as it was an intermediate step in the evolution from the third generation of digital ECC systems to the fourth generation of IP-based systems CT can be de ned as the blending of telecommunications switching with computer processing power and programmable logic Computers have long been used to program and manage PBXs, hybrids, and COEs, which themselves are specialized computers Yet the system interfaces were proprietary and tightly linked, with one computer associated with one set of databases and programs residing on one switching system, one voice processor, and so on The system manufacturers ruled this world of monolithic heavy metal During this period, users received only the features the manufacturers deemed worthy and in a presentation mode they felt appropriate.

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he technology surrounding Probability Management is improving fast, and recent breakthroughs promise to make it more accessible than ever. For perspective, I will review the evolution to date. The rst-generation models, like the Bessemer and Shell demos at ProbabilityManagement.org, displayed the two revolutionary hallmarks of this approach. First, they were based on scenario libraries; so they were modular, meaning their results could be consolidated, or added together. Second, they were interactive, connecting the seat of users intellects to the seat of their pants. What was frustrating, on the other hand, was that the models, as implemented in practice, required literally 20,000 to 40,000 spreadsheet formulas. This was because they were actually comprised of a thousand identical models, one for each of 1,000 potential scenarios stored in the SLURP. Then in 2007, with the introduction of Frontline Systems Risk Solver, we were able to greatly reduce the number of formulas in our clients models. Instead of requiring one submodel per row of the SLURP, we needed just a single model, through which the Risk Solver red all 1,000 scenarios like bullets through an Uzi. When people say that size doesn t matter, they are not talking about factors of 1,000. A spreadsheet with 40 formulas is easy to build and maintain, whereas one with 40,000 formulas, even if highly repetitive, is a nightmare. In addition, the new technology made the models even faster than before. Although the Risk Solver represented a great improvement in the area of model development and speed, there was still a big problem, a really big problem: The SLURPs themselves were huge. For example, in one application we were modeling roughly

More recently, it became clear that a single computer system could control and integrate multiple telephony devices, taking advantage of the programmed (and programmable) PC s intelligence and the real-time call processing power of the telephony switch By way of example, a PBX, ACD, and voice processor could integrate to provide a more effective set of solutions for the processing of incoming calls; additionally, call blending could be achieved through the application of a predictive dialer to improve the productivity of the call center While users and third-party software developers have long coveted access to PBX, ACD, and COE switches, the manufacturers had no real incentive to provide it on an open basis Claiming the risk of potential corruption of the switch databases, their real reason was more one of erosion of their very lucrative market for application software, proprietary station sets, and so on.

Over time, they did enable software developers to access expensive and dif cult Application Programming Interfaces (APIs) to accomplish these feats More recently, and under pressure from end users, these manufacturers opened the systems to APIs developed and standardized by various industry groups Those APIs became available at very low cost and were much easier to use In fact, every major PBX vendor began shipping products that included one or more APIs At a minimum, the concept of CT involves the use of PCs to facilitate user access to PBX and Centrex switch features (eg, call answer, call transfer, conference calling, call hold, and call hang-up), placing call control functions in the hands of.

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