２０１９年１１月
UNN20191103先週の実績と今週の予定
20191110先週の実績と今週の予定
20191117先週の実績と今週の予定
UNN20191124 先週の実績と今週の予定
UNN20191102Blockchain
Former SDF key man Senju Kanai’s presentation for recent SDF
Blockchain case study – TEAMZ
Rablock – Technical backbone of Blockchain
Botchat：New tendency and trend
UNN20191105inequality
How inequality damage our society
Trump did trade war against China. But this does not solve white collar workers ‘ job. They need to consider to focus on the logistics industry generating more jobs.
How do we treat this income gap and in equality? tax for Big Titan, tax for assets, consumer protection and UBI
UNN20191106Syria
US military retreated from North Syria neglecting critics without supporting Kurds
UNN20191109IT and automation
Yuva ‘s presentation of Blockchain
What is populist and globalization, globalism also universal basic income?
Automation and IT technology will be dominant in our world in near future.
China can attain autodriving instead of the other countries. Because they can prepare exclusive lanes for autodriving cars.
15 jobs that will disappear：farmer and manufacturing, dispatcher jobs
15 jobs that will disappear：banker, military soldier, fast-food sales staff and accountant
15 jobs that will disappear：construction worker, fisher
UNN20191116 IT revolution
Computer will be superior to human being. But how about creativity?
We need to discuss next 5 to 10 years for IT capability. Still big change will surge.
In this IT era CEO should understand mathematics of differential equation for deep learning.
We do not need to code for deep learning. IBM and google already prepared package for customer. But we should know the calculation method.
So we need to get big data for how to manage your company. Those data will provide your company’s managing information.
UNN20191118 IT impacts
IT technology will not reduce our job. Of cause current jobs will be shifting to another different type of jobs.
Past decades we invested SCM for your business and now we are focusing on marketing and future prospect using IT technology. It means indirect labors in the companies might be more jobs to analyze and plan for their business.
UNN20191123 IT innovation
We need to consider US workforce trend past 70 years. Recently employment rate is declining.
Automation is target for middle class. higher skills people and lower skills people can survive.
We are going to study deep learning for AI from next week with mathematics.
Trump charges tax for NAFTA and at the same time he reduce income tax for rich people balancing this tariff.
We are discussing O-ring caused the burst of space shuttle. This part is very cheap but the reason of accident.
O-ring caused the burst of space shuttle is the key to reconsider their total quality management system.
Real state business without AI will disappear within 5 years. Because it provides the prospect for future sales conditions.
Real state price forecast is viable issues of the real state company within 2,3 years.
UNN20191127 2020election
We discuss the history of American presidents. Almost every other 8 years they switched their party.
5 key geopolitical trends of global issues exist in 2020 election. Also 10 impacts exist for this election.
Former NY Mayor Bloomberg joins 2020 Democratic presidential race and he will strong candidate against Trump instead of Elizabeth Warren.
UNN20191130 IT revolution
Ed summarizes globalization and globalism. And he explains populism.
We may estimate economic trend by deep learning using quantum computer because its speed of calculation.
We are discussing how to consider weights for defining final results for analysis by deep learning.
MRI data can recognize cancer, but doctor needs to tell those data in which stage this cancer is.
Big data organizes non-structured data and structured data
Ontology is mandatory for considering AI and we need to prepare the dictionary based on this ontology.
Current system is focused on efficiency of business, but now on new IT technology encourages business prediction causing business revolution within 2,3 years.
UNN20191102孫子の兵法
言うともあい聞えず、ゆえに金鼓(きんこ)を為(つく)る。視(しめ)すともあい見えず、ゆえに旌旗(せいき)を為(つく)る」と。
三軍には気を奪うべく、将軍には心を奪うべし。このゆえに朝の気は鋭(えい)、昼の気は惰(だ)、暮(くれ)の気は帰(き)。
ゆえに兵を用うるの法は、高陵には向うことなかれ、丘(おか)を背(せ)にするには逆(むか)うことなかれ
UNN20191109孫子の兵法
孫子曰く、およそ兵を用うるの法は、将、命を君(きみ)に受け、軍を合し衆を聚(あつ)め、圮地(ひち)には舍(やど)ることなく、衢地(くち)には交(まじ)わり合(がっ)し
ゆえに将、九変の利に通ずれば、兵を用うることを知る。将、九変の利に通ぜざれば、地形を知るといえども、地の利を得うることあたわず。
このゆえに智者の慮(りょ)は必ず利害に雑(まじ)う。利に雑(まじ)えて務め信(のぶ)べきなり。害に雑(まじ)えて患(うれ)い解くべきなり。
UNN20191116 孫子の兵法
水を絶(わた)れば必ず水に遠ざかり、客、水を絶(わた)りて来たらば、これを水の内に迎うるなく、半(なか)ば済(わた)らしめてこれを撃つは利あり。
斥沢(せきたく)を絶(こゆ)れば、ただ亟(すみ)やかに去って留まることなかれ。もし軍を斥沢(せきたく)の中に交(まじ)うれば、必ず水草に依(よ)りて衆樹(しゅうじゅ)を背せに
平陸(へいりく)には易(やす)きに処(お)りて高きを右背(ゆうはい)にし、死を前にして生を後(うしろ)にせよ。
UNN20191123 孫子の兵法
これからのITはDeep LearningをベースとしたAIだ。そのための人材育成が必要だ。
UNN20200111IT revolution
The age of industrial revolution a decade ago was eliminated many jobs, but the other jobs are generated. Now how do we think for current AI revolution?
AI with IOT generates tremendous big data which current computer can not handle. This is the big issues and how to reduce those data handling by computers.
Generative adversarial networks is very powerful AI tool creating many kind of capabilities in which cartoon movies can be generated with sample characters, a certain novel and big data of pictures.
Blockchain system will be broke by Chinese. They have a deception in their culture of Sun Ze. So we need to consider security system for big data
AI technology will create big profit for few top rich people. So this is big issues for us. How to handle this redistribution?
Carlos Ghosn escaped Japan. Westerners and Japanese are very different opinions for his action. There are heavy cultural gaps among them. AI will expand those gaps more heavily.
How are we going to solve the communication gaps among westerners and Japanese? It is not easy but need to solve for our future job creation.
AI will reduce our job. We need to consider overseas business development to create jobs for Japan.
UNN20191130 孫子の兵法
およそ地に絶澗(ぜっかん)、天井(てんせい)、天牢(てんろう)、天羅(てんら)、天陥(てんかん)、天隙(てんげき)あらば、必ず亟(すみや)かにこれを去りて近づくことなかれ。
敵近くして静かなるはその険(けん)を恃(たの)めばなり。遠くして戦いを挑(いど)むは、人の進むを欲するなり。その居(お)る所の易(い)なるは、利なればなり。
卑(ひく)くして広きは、徒(と)の来たるなり。散(さん)じて条達(じょうたつ)するは、樵採(しょうさい)するなり。少なくして往来するは、軍を営(いとな)むなり。
塵(ちり)高くして鋭(するど)きは、車の来たるなり。卑(ひく)くして広きは、徒(と)の来たるなり。散(さん)じて条達(じょうたつ)するは、樵採(しょうさい)するなり。
辞(ことば)卑(ひく)くして備えを益(ま)すは、進むなり。辞(ことば)疆(つよ)くして進駆(しんく)するは、退(しりぞ)くなり。軽車まず出(で)てその側(かたわら)に居るは
馬を粟(ぞく)して肉食するは、軍に糧(りょう)なきなり。缻(ふ)を懸(かけ)てその舎(しゃ)に返らざるは、窮寇(きゅうこう)なり。諄諄翕翕(じゅんじゅんきゅうきゅう)として
来たりて委謝(いしゃ)するは、休息を欲するなり。兵怒りて相(あい)迎え、久しくして合(がっ)せず、また相(あい)去らざるは