Tuesday, July 9, 2019
The Earth is Getting Greener, Because of Higher CO2
Science is pretty amazing. Without minimizing carbon dioxide levels in the atmosphere, which can cause warming, carbon dioxide also is food for plants. That might explain why plant coverage now is increasing.
Gary Kim has been a digital infra analyst and journalist for more than 30 years, covering the business impact of technology, pre- and post-internet. He sees a similar evolution coming with AI. General-purpose technologies do not come along very often, but when they do, they change life, economies and industries.
Monday, July 8, 2019
Enterprise AI is in Early Stages, Expect Disappointment
A recent International Data Corporation survey of global organizations that are already using artificial intelligence solutions found only 25 percent have developed an enterprise-wide AI strategy.
It is likely very few enterprises had comprehensive personal computing or local area networking strategies in place in the early days, either. In fact, one might be safe in arguing that productivity paradox will continue to hold, and that quantifiable benefits from a shift to AI-enabled processes will lage investment by quite some degree.
The primary drivers behind these organizations' AI initiatives were to improve productivity, business agility, and customer satisfaction via automation, IDC researchers say.
Faster time to market with new products and services was another leading reason for implementing AI.
As always, though, there is a lag between capital investment in new technologies and tangible business results, if only since entire business processes must be redesigned before the full advantage can be gained.
So much disappointment with the outcomes of AI are to be expected. Quite often, big new information technology projects or technologies fail to produce the expected gains.
That “productivity paradox,” where high spending does not lead in any measurable way to productivity gains, is likely to happen with artificial intelligence and machine learning, at least in the early going. And that “early going” period can last far longer than many believe.
To note just one example, much of the current economic impact of “better computing and communications” is what many would have expected at the turn of the century, before the “dot com” meltdown. Amazon, cloud computing in general, Uber, Airbnb and the shift of internet activity to mobile use cases in general provide examples.
But that lag was more than 15 years in coming. Nor is that unusual. Many would note that similar lags in impact happened with enterprises invested in information technology in the 1980s and 1990s.
So prepare now: artificial intelligence and machine learning are eventually going to have the impact many now expect. It simply will take far longer than many expect.
No doubt, spending is growing. Some surveys suggest enterprises have dived into machine learning (artificial intelligence).
Half of those adopting machine learning are looking for insights they can use to improve their core businesses. About 46 percent report they are looking for ways to gain greater competitive advantage. Some 45 percent are looking for faster gleanings of insight. And 44 percent are looking at use of machine learning to help them develop new products.
But clear and quantifiable benefits will lag the investments. Thus it always is.
Gary Kim has been a digital infra analyst and journalist for more than 30 years, covering the business impact of technology, pre- and post-internet. He sees a similar evolution coming with AI. General-purpose technologies do not come along very often, but when they do, they change life, economies and industries.
Net Neutrality Rules, or Absence of Rules, are Just Noise
Some argue U.S. customers are worse off since the end of network neutrality regulations, referring to transparency of charges and fees. Others would offer argue that net neutrality rules are sort of “noise,” not signal.
Broadband prices also are not high in U.S. markets, as a percentage of household or national income. Prices over time arguably have dropped, as between 1990 and 2000, for example. Adjusting for purchasing power parity, U.S. prices are in line with global prices.
With or without the rules, speeds are climbing--and fast--while prices are in line with global norms or have decreased.
Though there are many other reasons for investments in networks that lead to speed improvements, network neutrality rules were in place from 2015 to 2017.
The larger point is that average U.S. fixed network speeds have risen dramatically since 2010.
Some focus on price as the problem, but absolute prices do not appear to have changed much, even as speeds and usage allowances have grown rapidly. Stand-alone pricing for residential internet access costs between $50 and $60 a month, less if purchased as part of a bundle, which most consumers do.
Broadband prices also are not high in U.S. markets, as a percentage of household or national income. Prices over time arguably have dropped, as between 1990 and 2000, for example. Adjusting for purchasing power parity, U.S. prices are in line with global prices.
Gary Kim has been a digital infra analyst and journalist for more than 30 years, covering the business impact of technology, pre- and post-internet. He sees a similar evolution coming with AI. General-purpose technologies do not come along very often, but when they do, they change life, economies and industries.
Saturday, July 6, 2019
U.K. Service Provider Revenue has Dropped Since 2012
Connectivity traditionally has not been a “growth” business. Far from it, telecom had for most of its history been considered a natural monopoly, on a par with water, sewer and electrical service. Around the turn of the century there was some thinking that might have changed.
Alas, the connectivity business still seems to be a slow growth--in some cases no growth--type of industry. The latest data from U.K. regulator Ofcom shows this. Since 2012, total service provider revenue in the United Kingdom has dropped. Monthly household spending on communications has remained relatively flat, growing about one pound per household, per month.
Gary Kim has been a digital infra analyst and journalist for more than 30 years, covering the business impact of technology, pre- and post-internet. He sees a similar evolution coming with AI. General-purpose technologies do not come along very often, but when they do, they change life, economies and industries.
Heavy Mobile Video Viewers More Likely to Drop Fixed Network Inrternet?
“Potential broadband cord-cutters rely on their mobile devices for entertainment,” says Parks Associates senior research director Brett Sappington. “They are significantly more likely to watch live video content via mobile, including live TV broadcasts and live streaming, averaging an hour more per week each compared to average broadband households.”
That is a partial answer to the question of whether heavier mobile video usage can lessen the value of fixed network internet access as well.
Parks Associates argues U.S. broadband households highly likely to drop linear video services in the next 12 months watch more than six hours of video content on their mobile phone a week, compared to 2.5 hours among all US broadband households.
“Roughly 10 percent of broadband subscribers are likely broadband cord-cutters, with half of them highly likely to make the change in the next 12 months,” said Sappington.
Gary Kim has been a digital infra analyst and journalist for more than 30 years, covering the business impact of technology, pre- and post-internet. He sees a similar evolution coming with AI. General-purpose technologies do not come along very often, but when they do, they change life, economies and industries.
Friday, July 5, 2019
PTC Academy Bangkok
PTC Academy Bangkok: Executive Insight for Exceptional Leaders will be held 23 September through 25 September, 2019 at CAT Tower, 72 Charoen Krung Road, Khwaeng Bang Rak
Khet Bang Rak, Krung Thep Maha Nakhon 10500, Thailand. Registration is limited to the first 30 students.
The event begins with a dinner cruise on the Chao Phraya Princess, offering compelling views of the Bangkok metro area from the The Chao Phraya river.
The first day of classroom instruction includes:
Pioneering Technologies: How Are They Breaking the Mold of Legacy Subsea Infrastructure?
Learning Outcomes:
What new technologies are changing long-haul networks?
What new capabilities are most important?
What apps/use cases will benefit?
Presenter: Keith Shaw, VP Business Development EMEA, Equinix, Netherlands
|
Tea/Coffee Break
|
What is 5G All About, and Why Do You Care?
Learning Outcomes:
What is 5G?
What will 5G mean for industry capabilities and competitors?
How does 5G enable the Internet of Things?
How does 5G enable edge computing?
Presenter: Gary Kim, Content Developer, IP Carrier, USA
|
Lunch
|
What Unique Challenges Will You Face in Moving Towards a Next-Gen Future?
Learning Outcomes:
How will your own segment of the business change?
What strategies are available to you?
What organizational changes must you make?
How can you make those changes?
Presenter: Sean Bergin, Co-Founder & President, APTelecom, Cambodia
|
Tea/Coffee Break
|
Getting the Balance Right
Learning Outcomes:
How to manage revenue, social obligations, and costs
Harvesting legacy revenue
Building new revenues
Presenter: Eric Handa, Co-Founder & CEO, APTelecom, USA
|
The second day’s class includes:
Evolution of OTTs and Their Impact on Traditional Revenue Streams: Opportunity or Threat?
Learning Outcomes:
Is OTT an opportunity or threat?
What can executives do to convert threats into opportunities?
What are the key threats to revenue?
What are the key responses to create new revenue streams?
Presenter: Tony Mosley, Director, Business Operations, Ocean Specialists, Inc. (OSI), Guam
|
Tea/Coffee Break
|
Capacity Procurement: Yesterday and Today
Learning Outcomes:
How has capacity procurement worked traditionally?
How have interconnection models changed?
Presenters: Eric Green, Senior Consultant, Cambridge Management Consulting Ltd., United Kingdom and Grant Kirkwood, Founder & CTO, Unitas Global, USA
|
Lunch
|
Using LinkedIn to Love a Career in Telecoms
Learning Outcomes:
Understanding the objectives of your LinkedIn Profile, and how to achieve them
Learn how your routine use of LinkedIn can increase your knowledge, build your reputation, and grow your network
Presenter: Russell Lundberg, CTO, Intelefy, LLC, and Bangkok Beach Telecom, Thailand
|
Tea/Coffee Break
|
Overview of the Mobile App Ecosystem
Learning Outcomes:
Understand how mobile apps monetize users
Understand the importance of attribution for the app ecosystem
Insights into app revenues by vertical
Insights into the major players in the app ecosystem (advertisers, publishers, ad networks)
Examples of telcos moving up the stack with apps and app partnerships
Presenter: Jonah Kadish, Director, Learning & Development, APAC, AppsFlyer, Thailand
|
Gary Kim has been a digital infra analyst and journalist for more than 30 years, covering the business impact of technology, pre- and post-internet. He sees a similar evolution coming with AI. General-purpose technologies do not come along very often, but when they do, they change life, economies and industries.
5G Spectrum Allocation Policies Differ in Japan, Korea
Communications policymakers in various countries will have to decide how to allocate additional mid-band and millimeter wave spectrum to various contestants. In some cases, policy might allow contestants to bid as vigorously as they like. In other cases, government policy might be more akin to “supporting a level playing field” by allocating spectrum on an equal basis.
Here’s a look at mid-band spectrum held by the leading mobile operators in Japan, according to Gaku Nakazato of Japan’s Ministry of Internal Affairs and Communications. As you might guess, KDDI and NTT have the largest allocations. NTT and KDDI have the largest subscriber shares, and therefore arguably require the most spectrum.
Policy in South Korea seems to aim for equal capabilities for the leading service suppliers. Both mid-band and 28-GHz millimeter wave allocations are virtually equal.
Gary Kim has been a digital infra analyst and journalist for more than 30 years, covering the business impact of technology, pre- and post-internet. He sees a similar evolution coming with AI. General-purpose technologies do not come along very often, but when they do, they change life, economies and industries.
Subscribe to:
Posts (Atom)
Directv-Dish Merger Fails
Directv’’s termination of its deal to merge with EchoStar, apparently because EchoStar bondholders did not approve, means EchoStar continue...
-
We have all repeatedly seen comparisons of equity value of hyperscale app providers compared to the value of connectivity providers, which s...
-
It really is surprising how often a Pareto distribution--the “80/20 rule--appears in business life, or in life, generally. Basically, the...
-
One recurring issue with forecasts of multi-access edge computing is that it is easier to make predictions about cost than revenue and infra...