2016/10/19 University of Tokyo
統合型ものづくりITシステム研究会
How software has evolved within 30 years or so. We need Japanese society to change itself to adapt for the development for IoT and AI.
2016/10/19 University of Tokyo
統合型ものづくりITシステム研究会
How software has evolved within 30 years or so. We need Japanese society to change itself to adapt for the development for IoT and AI.
Generative AI: Redefining Creativity and Transforming Corporate LandscapeOsaka University
The advent of Generative AI is redefining the boundaries of creativity and markedly transforming the corporate landscape. One of the pioneering technologies in this domain is the Reinforcement Learning from Human Feedback (RLHF). Combined with advancements in LLM (Language Model) has emerged as a notable player. LLM offers two primary interpretations: firstly, as a machine capable of generating highly plausible texts in response to specific directives, and secondly, as a multi-lingual knowledge repository that responds to diverse inquiries.
The ramifications of these technologies are widespread, with profound impacts on various industries. They are catalyzing digital transformation within enterprises, driving significant advancements in research and development, especially within the realms of drug discovery and healthcare. In countries like Japan, Generative AI is heralded for its potential to bolster creativity. The value generated by such AI-driven innovations is estimated to be several trillion dollars annually. Intriguingly, about 75% of this value, steered by creative AI applications, is predominantly concentrated within customer operations, marketing and sales, software engineering, and R&D. These applications are pivotal in enhancing customer interactions, generating innovative content for marketing campaigns, and even crafting computer code from natural language prompts. The ripple effect of these innovations is palpable in sectors like banking, high-tech, and life sciences.
However, as with every innovation, there are certain setbacks. For instance, the traditional business model of individualized instruction, as seen in the context of professors teaching basic actions, is on the brink of obsolescence.
Looking ahead, the next five years pose pertinent questions about humanity's role amidst this technological evolution. A salient skillset will encompass the adept utilization of generative AI, paired with the discernment to accept or critique AI-generated outputs. Education, as we know it, will be reimagined. The evaluative focus will transition from verifying a student's independent work to gauging their ability to produce content surpassing their AI tools. Generative AI's disruptive nature will compel us to re-evaluate human value, reshaping the paradigms of corporate management and educational methodologies
To be or not to be an academic, big enterprise, startup job that is the qu...Osaka University
"Who said it first is not important." Who gets there first is."
(Takeo Kanade, Circa 1990s)
Before joining a Big Enterprise, Check these
Empathy with the company's vision and mission.
Senior management prepares their own presentation materials (with high IT literacy).
There are executives who joined the company mid-career from outside.
There is a good employee training program.
There are many retired employees who are active after leaving the company.
There is an organization that integrates marketing, development, and operations.
There are no academic cliques.
日本ではディープテック・スタートアップが育つ環境がない。1. イノベーター人材育成が不十分、2.ベンチャーキャピタル側の人材欠如、3. 大企業側レセプターが未発達という課題を指摘した上で、今後どうすれば良いのかという未来志向の議論をしたい。巷間で言われる「AIは幻想だった」という評価を乗り越えるべく「AIはデジタルだ」の見地から、米国の非営利団体OpenAIが開発した巨大言語モデルGPT-3を例にして、これから見えるイノベーショントレンドを共有する。
Business Environment of Deep Tech AI Startups
There is no naturing environment for deep-tech startups to grow in Japan. I would like to point out the following issues: (1) insufficient development of innovator education system, (2) lack of human resources on the venture capital side, and (3) lack of development of receptors on the large enterprises side. In order to overcome the reputation of "AI was an illusion." from the viewpoint of "AI is digital.", we will share the innovation trends to be seen using the huge language model GPT -3 developed by the non-profit organization OpenAI in the United States as an example.
The most conservative part in a company is mediocre experts who love status quo. Top tier experts tend to climb up mountains from one peak to another peak, so as to explore new ideas and products. You must move also from one to another one. It is said,
“You can raise the bar or you can wait for others to raise it, but it’s getting raised regardless.” Raise your bar higher enough no to succeed now but in the future eventually. Your life is counted hoe many oh-shit moment you experienced. Gotta run.
22. How being lazy and expensive
can make life better
Michael Jacob
Science and Innovation Counsellor
Embassy of Sweden in Tokyo
24
23. Non-hierarchical, question authorities
フラットで権⼒に疑問を持つ
Equality between men and women
ジェンダー平等
Free education for all, critical thinking
教育費無料、クリティカルシンキング
Social security, child-care and health-care
社会保障、育児、ヘルスケア
Immigration, international collaboration
移⺠、国際協⼒
Culture
25
34. 36
Amazonのとったパス
AWS(2006)
本屋の通販(1999)
⾷品・メディア
業態変化
Toys “R” Us, Sports Authority, and Barnes & Noble
• The 5 industries Amazon will disrupt in the next 5 years
• Pharmacies: Making drugs a low-margin commodity
• Small business lending: A direct, data-driven source of financing
• Fulfillment & delivery: Using the AWS model to create a new business line
• Online groceries and digitized stores: Changing the way customers grocery shop
• Payments: Giving small merchants a cheaper option
• The 7 industries Amazon could go after next
• Insurance: Bundling value into the shopping experience
• Luxury goods and services: Bringing high fashion online and digitizing beauty salons
• Brick-and-mortar retail: Launching Amazon Style
• Smart home: Racing to connect the whole house
• Home & garden: Capitalizing on supply chain expertise
• Media & entertainment: Expanding into the gaming and audio markets
• Handcrafted goods: Amazon Handmade takes on Etsy
40. A topological approach to Mobility as a Service: A proposed tool for understanding requirements and effects, and for aiding the integration of societal goals
Jana Sochor, Ph.D., Chalmers Univ. of Tech & RISE Viktoria, Gothenburg, Sweden jana.sochor@chalmers.se; jana.sochor@ri.se Hans Arby, UbiGo Innovation AB Professor I.C.
MariAnne Karlsson, Chalmers Univ. of Tech. Steven Sarasini, Ph.D., RISE Viktoria
42
政策の統合
サービス提供の統合
予約・支払いの統合
情報の統合
55. ⽬の前で私が撮影した写真@AWS Re:Invent 2014
57
Jeff Bezos
キーワード
Institution No v.s.
Individual Yes.
Speed
Make organization
“nimble”
Experimental test
Lowering the cost