Can AI Help Move Beyond "Something Happened" to "Something Happened and the Network Fixed Itself"?

To say artificial intelligence is trendy is an understatement, experienced routinely by a growing number of consumers in the form of their smartphones and voice-activated assistants, invisibly in their consumption of content.

Investments in artificial intelligence have been highest, to date, in banking, retail, healthcare and manufacturing, IDC estimates. In the communications business, AI use cases arguably have been most pronounced in smartphones, customer service automation and possibly billing.

But it is logical to ask whether AI should not logically come to play a role in network operations and marketing, among other basic functions of communications networks.

Can AI be used by networks to make decisions based on customer activities or location? And does that create incremental value and revenue opportunities?

Can AI help network supervisors move beyond “I know what happened” to “I know what will happen” to “something happened and the network fixed itself?” That is not a terribly new idea, as the notion of “self-healing” networks has been around for some time in the form of ring networks that switch to backup facilities in the event of a primary ring failure.

The promise of AI is the ability to extend self-healing to more parts of the network and its functions.

The former might take the form of informing the creation and tear-down of actual connections and features, provisioning and monitoring of actual network requirements, internally and behalf of customers. The latter might take the form of such important insights as figuring out which customers are about to churn, and then matching new offers to them to address the churn drivers.

In other cases, AI arguably should help determine which customers, devices and services need upgraded features and querying those customers about the upgrades, without human intervention.

In other cases, AI should help inform service providers about which customers have needs for additional products, what solutions are appropriate and then pitching and provisioning without human intervention.

AI should play a role in security as well, but the broader issue is how many mundane, necessary activities could be enhanced by AI in ways that not only reduce costs and waste, but also allow the network to learn to operate more effectively. Right now, almost nothing can be done autonomously.

Ideally, AI would uncover new needs that the network actually can create and then deliver.

In other words, AI should help service providers with the long-held goal of virtualizing the network and enabling instant changes.

In its data centers, Google has used DeepMind to reduce energy consumption 40 percent. Similar benefits should be wrung from AI as applied to the operations of networks and the creation and marketing of its services. The issue is how much more self optimization is possible.

Given the need to continue reducing network operations costs, the use of AI would seem an almost-inevitable outcome.

How Much Can a Telco Afford to Invest in Faster Internet Access?

How much should any tier-one service provider invest in its internet access capabilities?

Much depends on the market dynamics: whether that firm’s role is wholesale-only; wholesale and retail; or retail only or mostly.

But in every case, the fundamentally-sound position is to invest only to the point that an adequate return on capital can be made. The level of return might be dictated wholly, or in part, by a government entity that caps the rate of return. In other markets the rate of return is limited by the amount of competition and risk of stranded assets.

In the U.S. market, some are not optimistic. Jonathan Chaplin, New Street Research equity analyst, believes cable companies could have 72 percent market share in 2020, with as much as 78 percent share of the internet access market.

Some might argue, given such trends, that telcos should simply harvest their internet access customer base. Of course, such forecasts likely include an assumption that telcos must either upgrade to fiber to home or stay with copper access of some sort, and also assume that, for capital availability reasons, the upgrades will occur relatively slowly.

The other assumption is that “telcos” are not the same as “AT&T and Verizon,” which actually are seeing very-modest declines in internet access share, with most of the losses coming from other telcos, especially the large former-rural-carrier ranks (CenturyLink, Windstream, Frontier).

AT&T and Verizon have other options, including both fiber to home, mobile substitution and fixed wireless access options that will improve dramatically with 5G. In fact, in most cases, AT&T and Verizon are likely to find the business case for mobile or fixed wireless much more compelling.

source: New Street Research

The point is that  a service provider has to invest enough in its internet access capabilities to remain competitive in the market, but not more than that level. There are, in some markets, good reasons why the upside is limited.

Consider the U.S. market, where a cable operator is the market share leader, approaching 60 percent share in most instances. That leaves a bit less than 40 percent share for the local telco.

Ignore for the moment the growing cable share, a situation many would argue exists since some key telco providers rely mostly on less-capable digital subscriber line platforms. In the second quarter of 2017, for example, internet access account losses by AT&T and Verizon were infinitesimal (on the level of hundredths of a percent of their installed base).

The logical investment criteria should then be, at a minimum, what is necessary to hold 40 percent market share.

The “maximum” position is a bit less clear, namely the level of investment that could allow either firm to take market share away from competitors. It is not so clear that taking share is possible, no matter what the level of investment, some might argue. Others might argue that this is possible, if mobile and fixed wireless offers can be used to create a superior value proposition, compared to cable.

Ironically, that might be especially true if cable companies start to raise prices as much as double current rates. That would create a higher pricing umbrella underneath which telco offers could operate.

The “take share” position is complicated, as the value proposition includes a range of value (types and quality of services, plus price, plus bundling effects, plus threat of new entrants). The “hold share” position is easier, as it mostly involves offering packages that are roughly competitive with what cable offers, in terms of speed, price, value and role in bundles.

The point is that some telcos might not be able to do much to prevent lost market share. AT&T and Verizon have other options, based on their coming 5G profiles.  Even in its FiOS areas, Verizon tends to get only about 40 percent share. Perhaps that is as good as it gets.

"Insight" is the Outcome AI Delivers

All of us have heard the phrases “data-driven business” and “digital transformation” as hallmarks of the way firms will have to evolve

Add insights-driven to that list. Though we are in the early days, that phrase is supposed to refer to the way firms mine the data they own to develop insights about customer behavior that can, in turn, be used to drive sales, retention and profit margins.

“Insight” is another way of saying “knowledge” or “understanding” about actual patterns in customer and prospect behavior, with the ability to apply such understanding to actual product features, processes and delivery, in a predictive way.

And without belaboring the point, such insights, the result of data mining using artificial intelligence or machine learning, already have been deployed in some business processes such as customized content, search, customer service operations and e-commerce.

Some firms have ad advantage, though. Etsy, the e-commerce site, created a “dedicated research department to blend quantitative and qualitative insight and embed customer insights into every department, leading to high levels of user satisfaction and smarter product decisions,” says  Brian Hopkins, Forrester VP.  “Insights-driven businesses not only excel at data analytics, but also bring quantitative insight to bear on problems then embed insights in their business models, operations, and company culture.”

Tesla auto performance data likewise is streamed in real-time to Tesla’s data scientists, who build models to help diagnose driving issues and provide software or firmware updates over the air.

One Interesting Factoid from Verizon's 3Q 2017 Report

Just one interesting observation from Verizon’s third quarter earnings report, which probably was better than most had expected. Note just one indicator, voice connections, which shrank seven percent. At that rate, Verizon loses half its voice revenue in a decade.

That is one illustration of the argument that tier-one service providers must replace half their current revenue every decade.

Despite the shift to unlimited plans and heightened competition in the mobile services market, Verizon managed to add a net 603,000 mobile connections, 486,000 of those being the highly-regarded postpaid accounts.

Operating revenues also were up, year over year. Even Verizon’s wireless segment posted higher revenue, year over year.

source: Verizon

Massive MIMO Deployments are Inevitable

It is not hard to predict that use of massive multiple input-multiple output radio technologies is going to grow, as advanced 4G and 5G networks are built. Massive MIMO is required to make use of vast new spectrum resources to be released in the millimeter wave region to support 5G.

In fact, massive MIMO is intrinsically related to use of small cells, ultra-dense cell networks and millimeter wave frequencies.

Massive MIMO trials or limited deployments in 2017 were undertaken by Sprint, Deutsche Telekom, China Mobile, China Telecom, China Unicom, Singtel, T-Mobile Netherlands, Vodafone Australia, Optus, and Telefónica. Massive MIMO also is being developed by Telecom Infra, the open source telecom infrastructure effort.

The spectrum bands at which many of these trials have taken place include 2.5 GHz, 2.6 GHz, 3.5 GHz, 1.8 GHz, and 2.3 GHz. Except for 3.5 GHz, the remaining frequencies are also allocated for LTE in many countries. Telecom Infra is testing much-higher frequencies (60 GHz), designed in the U.S. market to use unlicensed spectrum.

source: International Institute of Technology

MIMO antenna technology has been in use since the launch of 802.11n WiFi systems, but was first ratified for use in cellular systems in 3GPP’s Release 7 in 2008.

Deployments below 1 GHz are most likely to support eight or 16 antenna elements at most. Very-high frequencies above 30 GHz can have hundreds of antenna elements with some research citing below 500 antennas as an upper limit.

Why a Massive New Gigabit Upgrade, Instead of DirecTV Acquisition, Made No Sense

Two years ago, when DirecTV was acquired by AT&T, it would have been easy to find detractors arguing that AT&T should have spent that money investing in fiber to home infrastructure. With linear video cord cutting possibly accelerating, the new version of that story is being heard again.

So what should AT&T have done with $67 billion, assuming a 4.6 percent cost of capital? Cost of capital is the annualized return a borrower or equity issuer (paying a dividend) incurs simply to cover the cost of borrowing.

In AT&T’s case, the breakeven rate is 4.6 percent, which is the cost of borrowing itself. To earn an actual return, AT&T has to generate new revenue above 4.6 percent.

First of all, AT&T would not have borrowed $67 billion if it needed to add about three million new fiber to home locations per year. Assume that was all incremental capital, above and beyond what AT&T normally spends for new and rehab access facilities.

Assume that for logistical reasons, AT&T really can only build about three million locations each year, gets a 25-percent initial take rate, spends $700 to pass a location and then $500 to activate a customer location. Assume account revenue is $80 a month.

AT&T would spend about $2.1 billion to build three million new FTTH locations. At a 25-percent initial take rate, AT&T spends about $525 million to provide service to new accounts. So annual cost is about $2.65 billion, to earn about $720 million in new revenue (not all of which is incremental, as some of the new FTTH customers are upgrading from DSL).

The simple point is that building three million new FTTH locations per year, and selling $80 in services to a quarter of those locations, immediately,  does not recover the cost of capital.

The DirecTV acquisition, on the other hand, boosted AT&T cash flow about 40 percent.

Basically, even if AT&T had not purchased DirecTV, and began a new program adding three million new gigabit passings per year, those investments would not increase AT&T cash flow in the near term, and possibly never would do so.

The same logic applies to the Time Warner acquisition, which not only moves AT&T into new segments of the content ecosystem, but also boosts cash flow and profit margins.

But the linear video business is declining, many obviously will note. All true. But linear assets create the foundation for over-the-top assets, which also come with lower operating cost (much lower fulfillment and provisioning, for example).

Also, no matter what the long-term impact might be, a huge boost in free cash flow still matters, as markets evolve.

The point is that the alternative of plowing capital into faster gigabit upgrades sounds reasonable, but simply fails to move the needle on cash flow.

SD-WAN Growing 70% Annually, MPLS 4%

Only one fact about software-defined wide area network services is incontestable: its growth rates dwarf  growth rates for MPLS, a service some believe eventually could emerge as a replacement for some portion of MPLS demand.

A new forecast from International Data Corporation estimates that worldwide SD-WAN infrastructure and services revenues will see a compound annual growth rate of 69.6 percent and reach $8.05 billion in 2021.

MPLS, on the other hand, will grow at about four percent rates through 2021.

source: Ovum

The most significant driver of SD-WAN growth over the next five years will be driven by increased reliance on cloud computing, big data analytics, mobility, and social business, IDC says.

Use of those tools generally increases network workloads and elevates the network's end-to-end importance to business operations, including support at all branch locations.