How coherent technology decisions that start in the lab impact your network
What is the difference between 400G, 600G and 800G coherent solutions? It seems to be obvious, but is it just about maximum wavelength capacity? Why are different baud, modulations or DSP implementations used, and more importantly, what are the networking implications associated with each?
By Helen Xenos – 32QAM, 64QAM, and hybrid modulation….32, 56, 64, now 95Gbaud? Are they really any different? Fixed grid, flex grid, what’s 75GHz? Is your head spinning yet?
Coherent optical technology is a critical element that drives the amount of capacity and high-speed services that can be carried across networks and is a critical element in controlling their cost. But with multiple generations of coherent solutions available and more coming soon, navigating the different choices can be difficult. Unless you are immersed in the details and relationships between bits and symbols, constellations and baud in your everyday life, it can be confusing to understand how the technology choices made in each solution influence overall system performance and network cost.
To clarify these relationships, here is an analogy that helps provide a more intuitive understanding: consider performance-optimized coherent optical transport as analogous to freight transport.
The goal of network providers using coherent is to transport as much capacity as they can, in the most cost-efficient manner that they can, using wavelengths across their installed fiber. This is similar to wanting to be as efficient as possible in freight transport, carrying as much payload as you can using available truck and road resources. more>
Posted in Book review, Business, Communication industry, Economy, Education, How to, Net, Science, Technology
Tagged Broadband, Business improvement, Ciena, Fiber optics, Internet, Skills, Technology
How machine learning can improve money management<
By Michael Maiello – Two disciplines familiar to econometricians, factor analysis of equities returns and machine learning, have grown up alongside each other. Used in tandem, these fields of study can build effective investment-management tools, according to City University of Hong Kong’s Guanho Feng (a graduate of Chicago Booth’s PhD Program), Booth’s Nicholas Polson, and Booth PhD candidate Jianeng Xu.
The researchers set out to determine whether they could create a deep-learning model to automate the management of a portfolio built on buying stocks that are expected to rise and short selling those that are expected to fall, known as a long-short strategy. They created a machine-learning algorithm that built a long-short equity portfolio from the top and bottom 20 percent of a 3,000-stock universe.
They ranked the equities using the five-factor model of Chicago Booth’s Eugene F. Fama and Dartmouth’s Kenneth R. French. Fama and French break down the components of stock returns over time into five factors: market risk, in which stocks with less risk relative to their benchmark outperform those with more risk; size, in which companies with small market capitalizations outperform larger companies; value, where a low price-to-book ratio outperforms high; profitability, where higher operating profits outperform; and reinvestment, in which companies that reinvest outperform those that don’t. more>
Posted in Banking, Book review, Business, Economy, Education, How to, Technology
Tagged Business improvement, Capital, Chicago Booth, Financial crisis, Skills
By Gwen Moran – Automation is increasingly making its way into the workplace, raising concerns among employees about the ways technology will change their jobs—or eliminate them entirely. A June 2019 report by Oxford Economics predicts that 8.5% of the world’s manufacturing positions alone—some 20 million jobs—will be displaced by robots by 2030.
Some tasks aren’t easy to evaluate. A 2013 paper, “The Future of Employment: How Susceptible are Jobs to Computerisation?” found that roughly 47% of jobs were at high risk of being automated with advances in artificial intelligence.
Carl Benedikt Frey, Ph.D., co-author of that paper and author of The Technology Trap: Capital, Labor, and Power in the Age of Automation says predictions around automation’s impact have become very polarized: Either you believe that the robots are coming for many jobs—leaving many with no employment—or you believe it’s going to change the nature of work. more>
Posted in Book review, Business, Economic development, Economy, Education, How to, Media, Net, Science, Technology
Tagged Artificial intelligence, Automation, Business improvement, Capital, Jobs, Technology