Tag Archives: Internet

New US Semi Fab: Reality or Illusion?

Official talks on construction and operation of a new TSMC semiconductor chip manufacturing fab the in U.S. is promising but riddled with political and technical intrigue.
By John Blyler – Will the news of a new semiconductor fab on U.S. soil be a boost to the economy and technological stability or is it merely a fanciful political scheme? To answer that question, let’s start with the news that has created so much discussion in the electronics space.

Recently, the Taiwan Semiconductor Manufacturing Company (TSMC) announced its intention to build and operate an advanced 5nm semiconductor fab in the U.S. state of Arizona. TSMC, headquartered in Taiwan, is the largest chip manufacturer in the world. The company currently operates a fab in Camas, Washington and design centers in both Austin, Texas and San Jose, California. The Arizona facility would be TSMC’s second manufacturing site in the United States.

The new manufacturing plant would be supported with funds from Arizona and the U.S. government. The fab will have a 20,000 wafer-per-month capacity, create over 1,600 jobs directly and thousands more indirectly, explained the company in a press statement.

This by TSMC is welcomed in the U.S. but not without controversy. Shortly after the announcement of the new fab, the U.S. Department of Commerce announced new restrictions on TSMC’s second-largest customer, HiSilicon of China – which is fully owned by Huawei. Some industry experts feel that the two events are related to the issue of U.S. export control.

Here’s where the political side of the TSMC fab announcement begins to emerge. Huawei, already part of the US trade war with China, was recently placed under new and more stringent export control. On May 19, the Commerce Department issued new rules to more fully close off Huawei’s access to the semiconductor chips it needs to build cellphones and 5G infrastructure. This could conceivably block China’s big telecommunications company from entering the much desired global 5G mobile network space. more>

Updates from McKinsey

How to build a data architecture to drive innovation—today and tomorrow
Yesterday’s data architecture can’t meet today’s need for speed, flexibility, and innovation. The key to a successful upgrade—and significant potential rewards—is agility.
By Antonio Castro, Jorge Machado, Matthias Roggendorf, and Henning Soller – Over the past several years, organizations have had to move quickly to deploy new data technologies alongside legacy infrastructure to drive market-driven innovations such as personalized offers, real-time alerts, and predictive maintenance.

However, these technical additions—from data lakes to customer analytics platforms to stream processing—have increased the complexity of data architectures enormously, often significantly hampering an organization’s ongoing ability to deliver new capabilities, maintain existing infrastructures, and ensure the integrity of artificial intelligence (AI) models.

Current market dynamics don’t allow for such slowdowns. Leaders such as Amazon and Google have been making use of technological innovations in AI to upend traditional business models, requiring laggards to reimagine aspects of their own business to keep up. Cloud providers have launched cutting-edge offerings, such as serverless data platforms that can be deployed instantly, enabling adopters to enjoy a faster time to market and greater agility. Analytics users are demanding more seamless tools, such as automated model-deployment platforms, so they can more quickly make use of new models. Many organizations have adopted application programming interfaces (APIs) to expose data from disparate systems to their data lakes and rapidly integrate insights directly into front-end applications. Now, as companies navigate the unprecedented humanitarian crisis caused by the COVID-19 pandemic and prepare for the next normal, the need for flexibility and speed has only amplified.

For companies to build a competitive edge—or even to maintain parity, they will need a new approach to defining, implementing, and integrating their data stacks, leveraging both cloud (beyond infrastructure as a service) and new concepts and components. more>

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Updates from Ciena

How governments can solve layer 3 network complexity
What if government agencies could monitor and analyze their IP networks to ensure peak efficiency and service continuity—all while trying to modernize the network, balance cost, performance, and resiliency? Jim Westdorp, Ciena Government Solutions’ Chief Technologist, explains how this is possible.
By Jim Westdorp – The dynamic nature of IP networking makes it virtually impossible to know at any point in time how traffic is traversing your networks. Troubleshooting problems by issuing pings and router CLI commands, scanning log files, and manually correlating the results is imprecise and inefficient. Many government networks disable services like Internet Control Message Protocol (ICMP), which makes these inefficient tasks impossible. The results can impact service delivery, the agility of the network, and mission.

Traditional management tools have several limitations. For example, they can’t:

  • Provide real-time visibility into routing paths across the network
  • Provide unique alerts for Layer 3 technologies related to: state changes, pathing, performance, and the availability of the network elements to route packets
  • Show and model how routing errors and changes impact service delivery
  • Understand the resiliency of the network
  • Correlate routing events with performance metrics of network services to assure service performance
  • Compute and provision transport paths to deploy new services
  • Provide unified visibility and analysis for multi-vendor, multi-layer networks

Think about all the things you’d like to be able to do with your network, and ask yourself a few questions:

  • What if you could get a graphical view of all the IP flows in your network and gain deeper insights into traffic patterns, flows, and congestion?
  • What if you could drill deep into specific flows to understand the detailed route and particular pieces of network equipment those flows traversed?
  • What if you could troubleshoot your network using DVR-like functionality to see the exact state of the network at the time of an event, even if it was days in the past?
  • What if you had automated analytics to help identify the best paths to route traffic through your network?
  • What if your cyber team could utilize the same platform to be alerted to conditions indicative of external interference with a government?

Often, “what-ifs” are hypotheticals. Not in this case, with Blue Planet’s Route Optimization and Analysis (ROA).  This technology has been field-proven for more than a decade with government entities that have strategic imperatives to monitor and analyze their IP Networks to ensure peak efficiency and service continuity—all while trying to modernize the network, balance cost, performance, and resiliency. more>

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Updates from Chicago Booth

Ever closer to an optimally cost-efficient assembly-line operation
By Chuck Burke and Vanessa Sumo – Companies such as Dell and BMW use an assemble-to-order production strategy that keeps common components on the factory floor, ready for final assembly into the type of personal computer or vehicle that a customer orders. This is great for companies looking to satisfy a large volume of demand but that don’t want to build whole units in advance, to avoid any unsold products.

However, the difficulty of estimating how much of each component to hold in stock and how to allocate components to each product can keep companies from maximizing ATO’s benefits in practice.

A cross between two alternate production strategies

Make-to-stock strategy: MTS managers forecast consumer demand and match anticipated orders with an inventory of fully assembled products.

Make-to-order strategy: On the other hand, MTO systems wait for a customer’s order to arrive before starting production. Because this can include procuring parts and assembling components, MTO often results in a longer lead time.

Assemble-to-order strategy: An ATO strategy aims to combine the best of both systems—its flexibility lets companies fulfill large orders relatively quickly with minimal unsold inventory, yet still allows customers to partially customize orders. Here is how it works:

Managers must decide the quantity of components to order even before they can ascertain customer demand for their products.

When customers’ orders arrive, managers must then choose how to allocate the supply of components to each product for assembly. more>

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Věra Jourová’s love letter to platforms

By Kassandra – “Internet and the platforms can be very important player(s) in the countries where we will see increased power of the government, decreased power of the media, shrunk space of the civil society, and all these factors which we don’t think belong to healthy democratic system. So we should not only think about how to regulate and whether to regulate, and how to minimize the power of big tech – or tech in general; not only big. But we should think about how to enhance and support the positive role which we see necessary.”

It is not, dear Commissioner (European Commission Vice-President for Values and Transparency, Věra Jourová), the platforms who are the heroes in these societies where democracy has fragmented but the people who champion democratic values on these platforms. The people whose lives are in danger when they speak out. The journalist, activists, and citizens who, tired of the reality they face, take a stand. If you turn platforms into heroes, perhaps then you should consider them as noble publishers, and not just conduits of information.

It’s as if she has forgotten the ‘bad surprise’ of Facebook’s Cambridge Analytica days, or that Google has been found to be functioning anticompetitively in a whole range of issues. This is not a matter of fine and collect. This anticompetitive behavior has been very damaging to European companies and citizens and that is why Jourová’s colleagues running the EU’s competition authorities intervened.

And if Jourová would like to pretend these ‘bad surprises’ are a thing of the past, we have only to look at the latest clashes with the platforms: The EU opening two competition cases with Apple and the awaited outcome of the EU’s probe on Amazon.

In the US – mounting pressure for Amazon CEO Jeff Bezos to testify in Congress eventually led to a nod from the company signalling this is going to happen.

Meanwhile, in Europe, instead of asking for accountability, and for Bezos to appear – much like Facebook’s Mark Zuckerberg – in the European Parliament to answer some questions, politicians like Jourová are happy to turn a blind eye. more>

Updates from McKinsey

Ready, set, go: Reinventing the organization for speed in the post-COVID-19 era
The need for speed has never been greater. Here are nine ways companies can get faster.
By Aaron De Smet, Daniel Pacthod, Charlotte Relyea, and Bob Sternfels – hen the coronavirus pandemic erupted, companies had to change. Many business-as-usual approaches to serving customers, working with suppliers, and collaborating with colleagues—or just getting anything done—would have failed. They had to increase the speed of decision making, while improving productivity, using technology and data in new ways, and accelerating the scope and scale of innovation. And it worked. Organizations in a wide range of sectors and geographies have accomplished difficult tasks and achieved positive results in record time:

Redeploying talent. A global telco redeployed 1,000 store employees to inside sales and retrained them in three weeks.

Launching new business models. A US-based retailer launched curbside delivery in two days versus the previously-planned 18 months.

Improving productivity. An industrial factory ran at 90-percent-plus capacity with 40 percent of the workforce.

Developing new products. An engineering company designed and manufactured ventilators within a week.

Shifting operations. Coordinating with local officials, a major shipbuilder switched from three shifts to two, with thousands of employees.

At the heart of each of these examples is speed—getting things done fast, and well. Organizations have removed boundaries and have broken down silos in ways no one thought was possible. They have streamlined decisions and processes, empowered frontline leaders, and suspended slow-moving hierarchies and bureaucracies. The results, CEOs from a wide range of industries have told us, have often been stunning:

“Decision making accelerated when we cut the nonsense. We make decisions in one meeting, limit groups to no more than nine people, and have banned PowerPoint.”

“I asked on Monday, and by Friday we had a working prototype.”

“We have increased time in direct connection with teams—resetting the role and energizing our managers.”

“We adopted new technology overnight—not the usual years—as we have a higher tolerance for mistakes that don’t threaten the business.”

“We’re putting teams of our best people on the hardest problems. If they can’t solve it, no one can.”

Because of the pandemic, leadership teams have embraced technology and data, reinventing core processes and adopting new collaboration tools. Technology and people interacting in new ways is at the heart of the new operating model for business—and of creating an effective postpandemic organization. more>

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Updates from Ciena

With great fiber count comes great responsibility
Spatial Division Multiplexing (SDM) cables are a key focus area for submarine network innovation in 2020. Ciena’s Brian Lavallée explains how SDM cables offer massive increases in submarine cable carrying capacity and the challenges associated with these new wet plant designs.
By Brian Lavallée – In a recent blog entitled “The Submarine Network Seascape in 2020”, I wrote about what I believe are key areas for focused submarine network innovation in 2020. One key area is Spatial Division Multiplexing (SDM) cables. This new wet plant design allows submarine cable operators to “side-step” the Shannon Limit by expanding Channel Bandwidth (B) in the equation, which is the usable optical bandwidth in the submarine cable. In other words, the more bandwidth available in the cable, the more capacity is enabled. It’s as simple as that.

Once a submarine cable (wet plant) is laid upon the seabed, the Channel Bandwidth (B) is fixed and is dictated by the number of fiber pairs and the total usable optical spectrum of the optical repeaters (a historical industry misnomer of what are today, optical amplifiers). This means that once a submarine cable is deployed, one must improve the Signal-to-Noise Ratio, on the right side of the equation above, to increase the Channel Capacity (C). This is exactly what the industry has been doing for years with constant technology innovation taking place in the Submarine Line Terminating Equipment (SLTE) and the coherent modems they house.

However, as we get ever-closer to the Shannon Limit of a submarine optical fiber, we start to experience diminishing returns in terms of the upgrade leaps in total information-carrying capacity of the optical fiber. This means that the industry focus must shift back to the wet plant interconnecting the SLTE coherent modems.

Compared to rapid, ongoing SLTE coherent modem innovation over the past decade, the wet plants they connect to have witnessed comparatively less innovation – until recently. One way to expand the Channel Bandwidth (B) in the equation above is to add many more fiber pairs to the submarine cable to provide a higher aggregate of usable optical spectrum in the submarine cable. This is referred to as Spatial Division Multiplexing (SDM). Modern submarine cables have 4 to 8 Fiber Pairs (FP), while SDM offers 12 to 16 FPs, and potentially more in the future.

As an industry proof point, the first SDM submarine cable will be Google’s transatlantic 6,400km  Dunant cable, which supports up to 250Tb/s of overall capacity provided by an aggregate of 12 fiber pairs – very impressive! more>

Updates from Chicago Booth

Could anything unite the United States?
Cultural and political divisions have persisted for decades. Now there’s a growing gap in how Americans see each other.
By Rose Jacobs – As the Democratic Party battles over whether a moderate or liberal presidential candidate stands the better chance of winning the White House in November 2020, many Americans are asking a similar but broader question: Has the country ever been so divided?

Academics, for their part, are attempting to measure what often feel like widening gaps. In 2017, Stanford’s Matthew Gentzkow looked at a series of Pew Research Center surveys of Americans’ views on policies ranging from government regulation to welfare, immigration, and the environment, and noted that fewer individuals in 2014 than 10 years earlier held positions that put them across the political divide from their own, self-identified political party.

Nor do divides appear confined to politics and policy. Chicago Booth’s Marianne Bertrand and Emir Kamenica examined three national surveys that probe Americans’ consumption habits, leisure time, and social attitudes. They find that different groups of Americans—rich and poor, black and white, men and women, politically liberal and conservative, college educated and not—tend to eat different food, watch different television programs, pursue different hobbies, and adopt different social attitudes. The algorithms the researchers developed for their study were able to predict people’s income bracket with nearly 90 percent accuracy on the basis of the brands of products and services they bought; they could do the same for gender by looking at what TV shows and films people watched and what magazines they read; and they could predict race with 75–85 percent accuracy using self-reported stances on topics such as marriage, law enforcement, and government spending.

Yes, then, the nation appears to be divided.

Bertrand and Kamenica point out that cultural gaps in the categories that they studied, between rich and poor or black and white, for instance, are worrisome in part because they might dampen social and economic mobility. The real-world effects of growing partisanship are less obvious, but research is beginning to probe how a politically divided populace plays out in areas ranging from corporate finance to macroeconomics to medicine and law.

The researchers looked at the months surrounding President Trump’s election in 2016, and find that analysts registered as Democrats were more likely to issue downgrades to the companies they covered after November 8 than were Republican analysts. This effect was greater with analysts who voted more frequently. This result is in line with their wider analysis of political affiliation and presidential elections going back 18 years, which suggests that analysts whose politics do not align with the sitting president’s are more likely to downgrade companies’ debt than analysts who share a political party with the president. more>

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How to Disguise Racism and Oligarchy: Use Economics

By Lynn Parramore – James McGill Buchanan is a name you will rarely hear unless you’ve taken several classes in economics. And if the Tennessee-born Nobel laureate were alive today, it would suit him just fine that most well-informed journalists, liberal politicians, and even many economics students have little understanding of his work.

The reason? Duke historian Nancy MacLean contends that his philosophy is so stark that even young libertarian acolytes are only introduced to it after they have accepted the relatively sunny perspective of Ayn Rand. (Yes, you read that correctly). If Americans really knew what Buchanan thought and promoted, and how destructively his vision is manifesting under their noses, it would dawn on them how close the country is to a transformation most would not even want to imagine, much less accept.

That is a dangerous blind spot, MacLean argues in a meticulously researched book, Democracy in Chains, a finalist for the National Book Award in Nonfiction. While Americans grapple with Donald Trump’s chaotic presidency, we may be missing the key to changes that are taking place far beyond the level of mere politics. Once these changes are locked into place, there may be no going back.

MacLean’s book reads like an intellectual detective story. In 2010, she moved to North Carolina, where a Tea Party-dominated Republican Party got control of both houses of the state legislature and began pushing through a radical program to suppress voter rights, decimate public services, and slash taxes on the wealthy that shocked a state long a beacon of southern moderation. Up to this point, the figure of James Buchanan flickered in her peripheral vision, but as she began to study his work closely, the events in North Carolina and also Wisconsin, where Governor Scott Walker was leading assaults on collective bargaining rights, shifted her focus.

Could it be that this relatively obscure economist’s distinctive thought was being put forcefully into action in real time?

MacLean could not gain access to Buchanan’s papers to test her hypothesis until after his death in January 2013. That year, just as the government was being shut down by Ted Cruz & Co., she traveled to George Mason University in Virginia, where the economist’s papers lay willy-nilly across the offices of a building now abandoned by the Koch-funded faculty to a new, fancier center in Arlington.

MacLean was stunned. The archive of the man who had sought to stay under the radar had been left totally unsorted and unguarded. The historian plunged in, and she read through boxes and drawers full of papers that included personal correspondence between Buchanan and billionaire industrialist Charles Koch. That’s when she had an amazing realization: here was the intellectual linchpin of a stealth revolution currently in progress.

Buchanan, a 1940 graduate of Middle Tennessee State University who later attended the University of Chicago for graduate study, started out as a conventional public finance economist. But he grew frustrated by the way in which economic theorists ignored the political process.

Buchanan began working on a description of power that started out as a critique of how institutions functioned in the relatively liberal 1950s and ‘60s, a time when economist John Maynard Keynes’s ideas about the need for government intervention in markets to protect people from flaws so clearly demonstrated in the Great Depression held sway. Buchanan, MacLean notes, was incensed at what he saw as a move toward socialism and deeply suspicious of any form of state action that channels resources to the public. Why should the increasingly powerful federal government be able to force the wealthy to pay for goods and programs that served ordinary citizens and the poor?

In thinking about how people make political decisions and choices, Buchanan concluded that you could only understand them as individuals seeking personal advantage. In an interview cited by MacLean, the economist observed that in the 1950s Americans commonly assumed that elected officials wanted to act in the public interest. Buchanan vehemently disagreed — that was a belief he wanted, as he put it, to “tear down.” His ideas developed into a theory that came to be known as “public choice.”

Buchanan’s view of human nature was distinctly dismal. more>

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Updates from McKinsey

Return: A new muscle, not just a plan
Return is not a phase; it’s a way of operating. A nerve center can help build the capabilities that businesses need in the “next normal.”
By Mihir Mysore, Bob Sternfels, and Matt Wilson – In less than four months, COVID-19 has upended almost all expectations for 2020. Beyond the loss of life and the fear caused by the pandemic, businesses around the world have faced disruptions at a speed and scale unprecedented in the modern era.

Companies everywhere are now wrestling with the question of how to reach the next normal safely. Many talk about a return to the workplace as a plan that needs to be implemented: a series of systematic steps to reach some kind of stable operating model, in a world where vaccines are adequately available or herd immunity has been reached. In many cases, these plans suggest a return to some relatable version of the past.

Yet the intrinsic uncertainties that might scupper such plans continue to mount. Executives readily admit, for instance, that it is tough to write a deterministic return plan because of the likelihood of a resurgence, discoveries about how the virus is transmitted and whom it affects, the nature and duration of immunity, and continued changes in the quality and availability of testing and contact tracing. The best possible plan today is merely a strawman that will need near-continuous recalibration and change.

Another critical uncertainty is the future of remote work. Some feel that recent events have driven a real productivity gain they do not want to lose. However, they recognize that a wholesale shift to remote work has had many false dawns. Silicon Valley has experimented with it most extensively, but after many attempts to implement telecommuting, our research found that at 15 top firms, only 8 percent of the employees work remotely. These companies do not want to try this again only to roll it back in a few years.

Customer behavior is a third unknown. Companies see the clear shift to digital among consumers and its inevitable impact: online shopping has expanded by up to 60 percent in some categories, and up to 20 percent of online consumers in the United States have switched at least some brands recently. But it’s unclear whether once the pandemic recedes, these customers will return to their old ways or if the pandemic will create new types of consumers.

Given these and other uncertainties and the need for experimentation and fast learning to navigate through them effectively, we believe that the next step in the response of businesses cannot be thought of as a phase at all. It will be open ended rather than fixed in time. A better mental model is to think about developing a new “muscle”: an enterprise-wide ability to absorb uncertainty and incorporate lessons into the operating model quickly. The muscle has to be a “fast-twitch” one, characterized by a willingness to change plans and base decisions on hypotheses about the future—supported by continually refreshed microdata about what’s happening, for example, in each retail location. And the muscle also needs some “slow-twitch” fibers to set long-term plans and manage through structural shifts. more>