Sebuah presentasi singkat mengenai Revolusi Industri 4.0 dalam Bahasa Indonesia (ID)
A brief presentation about Industrial Revolution 4.0 in Bahasa Indonesia (ID)
Teknologi telah berkembang. Cara kita bekerja, bermain bahkan belajar telah berubah. Begitupun mahasiswa di era industri 4.0 pada abad 21 ini. BERUBAH. IPK 4,2 saja tidaklah cukup. Harus memiliki soft skills yang dipentingkan di abad 21.
Presentasi ini ditujukan sebagai acuan sharing kepada peserta Hackathon Republic of IoT 2017. Mengenal bagaimana memilih karir dan juga kemampuan yang harus dimiliki di evolusi Industri 4.0 kedepannya.
Pembelajaran yang merespon era rovolusi industry 4.0 tersebut harus dijawab dengan cepat dan tepat agar tidak berkontribusi terhadap peningkatan pengangguran. Tantangan industri 4.0, ancaman pengangguran, dan bonus demografi dengan fokus meningkatkan kualitas sumber daya manusia melalui pendidikan.
Revitalisasi sistem pembelajaran meliputi, 1) kurikulum dan pendidikan karakter, 2) bahan pembelajaran berbasis teknologi informasi dan komunikasi, 3) kewirausahaan, 4) penyelarasan.
Teknologi telah berkembang. Cara kita bekerja, bermain bahkan belajar telah berubah. Begitupun mahasiswa di era industri 4.0 pada abad 21 ini. BERUBAH. IPK 4,2 saja tidaklah cukup. Harus memiliki soft skills yang dipentingkan di abad 21.
Presentasi ini ditujukan sebagai acuan sharing kepada peserta Hackathon Republic of IoT 2017. Mengenal bagaimana memilih karir dan juga kemampuan yang harus dimiliki di evolusi Industri 4.0 kedepannya.
Pembelajaran yang merespon era rovolusi industry 4.0 tersebut harus dijawab dengan cepat dan tepat agar tidak berkontribusi terhadap peningkatan pengangguran. Tantangan industri 4.0, ancaman pengangguran, dan bonus demografi dengan fokus meningkatkan kualitas sumber daya manusia melalui pendidikan.
Revitalisasi sistem pembelajaran meliputi, 1) kurikulum dan pendidikan karakter, 2) bahan pembelajaran berbasis teknologi informasi dan komunikasi, 3) kewirausahaan, 4) penyelarasan.
Society 5.0: Menyiapkan SDM Cerdas dan SehatIsmail Fahmi
Society 5.0 awalnya dibuat oleh pemerintah Jepang, mengingat banyak problem karena ketimpangan antara sisi sosial dan perkembangan teknologi, khususnya karena populasinya yang semakin menua. Sehingga, teknologi harus bisa memudahkan mereka tetap produktif dan sejahtera.
Society 5.0 mensyaratkan bersinerginya IoT, Big Data, AI, Robot, dan Manusia untuk memecahkan masalah sosial.
Di Indonesia, beberapa kota sudah mulai menerapkan Smart City. Ini bisa menjadi awalan suatu saat menuju Society 5.0.
Salah satu kunci pengembangan Smart City dan Society 5.0 adalah Sumber Daya Manusia (SDM) yang cerdas dan sehat untuk membangun teknologi dan mencari solusi sosial.
Generasi muda Indonesia menghadapi masalah besar di bidang literasi. Apalagi literasi digital, yang menjadi syarat menuju Smart City dan Society 5.0.
SDM perlu disiapkan dengan kemampuan Digital Citizenship: berpikir kritis, bagaimana aman terhubung online, dan memanfaatkan Internet untuk pengembangan diri.
SDM yang cerdas dan sehat sangat ditentukan saat golden age (usia bayi dan balita), saat otak mereka tumbuh 80% dari orang dewasa.
Digital Culture for Digital TransformationSeta Wicaksana
"Without laying a strong foundation for culture and aligning employees to a digital vision, it will be extremely difficult to make any meaningful progress on digital transformations"
**Sila perbetulkan jika terdapat kesalahan dimana2 nota @ soalan saya. Semua nota dan latihan yang diupload hasil dr pengalaman saya menjadi guru sandaran di sekolah yang ditempatkan dan mungkin dari sumber yang saya kumpulkan di internet. Saya menerima segala teguran.**
Society 5.0: Menyiapkan SDM Cerdas dan SehatIsmail Fahmi
Society 5.0 awalnya dibuat oleh pemerintah Jepang, mengingat banyak problem karena ketimpangan antara sisi sosial dan perkembangan teknologi, khususnya karena populasinya yang semakin menua. Sehingga, teknologi harus bisa memudahkan mereka tetap produktif dan sejahtera.
Society 5.0 mensyaratkan bersinerginya IoT, Big Data, AI, Robot, dan Manusia untuk memecahkan masalah sosial.
Di Indonesia, beberapa kota sudah mulai menerapkan Smart City. Ini bisa menjadi awalan suatu saat menuju Society 5.0.
Salah satu kunci pengembangan Smart City dan Society 5.0 adalah Sumber Daya Manusia (SDM) yang cerdas dan sehat untuk membangun teknologi dan mencari solusi sosial.
Generasi muda Indonesia menghadapi masalah besar di bidang literasi. Apalagi literasi digital, yang menjadi syarat menuju Smart City dan Society 5.0.
SDM perlu disiapkan dengan kemampuan Digital Citizenship: berpikir kritis, bagaimana aman terhubung online, dan memanfaatkan Internet untuk pengembangan diri.
SDM yang cerdas dan sehat sangat ditentukan saat golden age (usia bayi dan balita), saat otak mereka tumbuh 80% dari orang dewasa.
Digital Culture for Digital TransformationSeta Wicaksana
"Without laying a strong foundation for culture and aligning employees to a digital vision, it will be extremely difficult to make any meaningful progress on digital transformations"
**Sila perbetulkan jika terdapat kesalahan dimana2 nota @ soalan saya. Semua nota dan latihan yang diupload hasil dr pengalaman saya menjadi guru sandaran di sekolah yang ditempatkan dan mungkin dari sumber yang saya kumpulkan di internet. Saya menerima segala teguran.**
Machine learning and artificial intelligence are two of the most rapidly growing and transformative technologies of our time. These technologies are revolutionizing the way businesses operate, improving healthcare outcomes, and transforming the way we live our daily lives. Learn more about it in the PPT below!
When you wake up in the morning, you probably unlock your smartphone with your fingerprint, talk to it in your own language to open your email or agenda or weather apps, ask for a recommendation for a meeting later in the day and look for the shortest path to its location. Our lives are being reshaped thanks to the amount of available data, to the computing capabilities, to Machine Learning (ML) and recently Deep Learning (DL) algorithms.
How does a ML algorithm work? What are the steps to take to success an ML project? What should one do to apply DL? Is ML hard to Learn? Is it hard to apply?
Future of data science as a professionJose Quesada
How can you thrive in a future where machine learning has been popular for a few years already?
In this talk, I will give you actionable advice from my experience training serious data scientists at our retreat center in Berlin. You are going to face these pointy, hard questions:
- What is the promise of machine learning? Has it happened yet?
- Is it easy to take advance of machine learning, now that most algorithms are nicely packaged in APIs and libraries?
- How much time should I spend getting good at machine learning? Am I good enough now?
- Are data scientists going to be replaced by algorithms? Are we all?
- Is it easy to hire talent in machine learning after the explosion of MOOCs?
The AI Platform Business Revolution: Matchmaking, Empathetic Technology, and ...Steve Omohundro
Popular media is full of stories about self-driving cars, video deepfakes, and robot citizens. But this kind of popular artificial intelligence is having very little business impact. The actual impact of AI on business is in automating business processes and in creating the "AI Platform Business Revolution". Platform companies create value by facilitating exchanges between two or more groups. AI is central to these businesses for matchmaking between producers and consumers, organizing massive data flows, eliminating malicious content, providing empathetic personalization, and generating engagement through gamification. The platform structure creates moats which generate outsized sustainable profits. This is why platform businesses are now dominating the world economy. The top five companies by market cap, half of the unicorn startups, and most of the biggest IPOs and acquisitions are platforms. For example, the platform startup ByteDance is now worth $75 billion based on three simple AI technologies.
In this talk we survey the current state of AI and show how it will generate massive business value in coming years. A recent McKinsey study estimates that AI will likely create over 70 trillion dollars of value by 2030. Every business must carefully choose its AI strategy now in order to thrive over coming decades. We discuss the limitations of today's deep learning based systems and the "Software 2.0" infrastructure which has arisen to support it. We discuss the likely next steps in natural language, machine vision, machine learning, and robotic systems. We argue that the biggest impact will be created by systems which serve to engage, connect, and help individuals. There is an enormous opportunity to use this technology to create both social and business value.
The Sky’s the Limit – The Rise of Machine LearninInside Analysis
The Briefing Room with Analyst Dr. Robin Bloor and SkyTree
Live Webcast on June 24, 2014
Watch the archive:
https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=1da2b498fc39b8b331a5bbb8dea2660f
With data growing more complex these days, many organizations are looking for ways to make sense of new information sources. The goal? Sprint ahead of the competition by exploiting fast-moving opportunities. The challenge? The data volumes, variety and velocity call for significantly greater horsepower than ever before. That’s where machine learning comes into play, and it’s already fundamentally changing the Big Data Analytics landscape.
Register for this episode of The Briefing Room to learn from veteran Analyst Dr. Robin Bloor as he explains how advanced analytics technology can transform the enterprise. He’ll be briefed by Martin Hack, CEO of Skytree, who will tout his company’s machine learning solution for big data. Hack will discuss the critical challenges facing today’s data professionals, and present use cases to show how machine learning can help organizations leverage big data as a capital asset. He’ll specifically address the power of predictive analytics, which can help companies seize opportunities and prevent serious problems.
Visit InsideAnlaysis.com for more information.
Minne analytics presentation 2018 12 03 final compressedBonnie Holub
Monday was another great conference by MinneAnalytics! #MinneFRAMA was a great success with over 1,100 attendees at Science Museum of Minnesota. Alison Rempel Brown is a great host! A Teradata colleague told me that her post about my presentation "blew up" with hits and she got over 2K views, and 60+ likes. I'm proud to be a part of this great #datascience organization brining #machinelearning and #artificialintelligence #analytics to our #bigdata clients. If you want my slides, here they are.
Maritime Information Warfare - The Human DimensionAndy Fawkes
Presented at SMi's Inaugural Maritime Information Warfare Conference, London, 6/7 December 2017. A perspective on the modern sailor, training and simulation, training data, and defence organisational challenges.
This session was presented to students of Vivekanandha College of Engineering for Women, Tiruchengode, Tamil Nadu-India.
The objective of the session is to give an overview of latest technology in the area of Industry 4.0 where the students can choose to empower themself while they are in college.
Business Valuation Principles for EntrepreneursBen Wann
This insightful presentation is designed to equip entrepreneurs with the essential knowledge and tools needed to accurately value their businesses. Understanding business valuation is crucial for making informed decisions, whether you're seeking investment, planning to sell, or simply want to gauge your company's worth.
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Accpac to QuickBooks Conversion Navigating the Transition with Online Account...PaulBryant58
This article provides a comprehensive guide on how to
effectively manage the convert Accpac to QuickBooks , with a particular focus on utilizing online accounting services to streamline the process.
Enterprise Excellence is Inclusive Excellence.pdfKaiNexus
Enterprise excellence and inclusive excellence are closely linked, and real-world challenges have shown that both are essential to the success of any organization. To achieve enterprise excellence, organizations must focus on improving their operations and processes while creating an inclusive environment that engages everyone. In this interactive session, the facilitator will highlight commonly established business practices and how they limit our ability to engage everyone every day. More importantly, though, participants will likely gain increased awareness of what we can do differently to maximize enterprise excellence through deliberate inclusion.
What is Enterprise Excellence?
Enterprise Excellence is a holistic approach that's aimed at achieving world-class performance across all aspects of the organization.
What might I learn?
A way to engage all in creating Inclusive Excellence. Lessons from the US military and their parallels to the story of Harry Potter. How belt systems and CI teams can destroy inclusive practices. How leadership language invites people to the party. There are three things leaders can do to engage everyone every day: maximizing psychological safety to create environments where folks learn, contribute, and challenge the status quo.
Who might benefit? Anyone and everyone leading folks from the shop floor to top floor.
Dr. William Harvey is a seasoned Operations Leader with extensive experience in chemical processing, manufacturing, and operations management. At Michelman, he currently oversees multiple sites, leading teams in strategic planning and coaching/practicing continuous improvement. William is set to start his eighth year of teaching at the University of Cincinnati where he teaches marketing, finance, and management. William holds various certifications in change management, quality, leadership, operational excellence, team building, and DiSC, among others.
3.0 Project 2_ Developing My Brand Identity Kit.pptxtanyjahb
A personal brand exploration presentation summarizes an individual's unique qualities and goals, covering strengths, values, passions, and target audience. It helps individuals understand what makes them stand out, their desired image, and how they aim to achieve it.
Premium MEAN Stack Development Solutions for Modern BusinessesSynapseIndia
Stay ahead of the curve with our premium MEAN Stack Development Solutions. Our expert developers utilize MongoDB, Express.js, AngularJS, and Node.js to create modern and responsive web applications. Trust us for cutting-edge solutions that drive your business growth and success.
Know more: https://www.synapseindia.com/technology/mean-stack-development-company.html
[Note: This is a partial preview. To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
Sustainability has become an increasingly critical topic as the world recognizes the need to protect our planet and its resources for future generations. Sustainability means meeting our current needs without compromising the ability of future generations to meet theirs. It involves long-term planning and consideration of the consequences of our actions. The goal is to create strategies that ensure the long-term viability of People, Planet, and Profit.
Leading companies such as Nike, Toyota, and Siemens are prioritizing sustainable innovation in their business models, setting an example for others to follow. In this Sustainability training presentation, you will learn key concepts, principles, and practices of sustainability applicable across industries. This training aims to create awareness and educate employees, senior executives, consultants, and other key stakeholders, including investors, policymakers, and supply chain partners, on the importance and implementation of sustainability.
LEARNING OBJECTIVES
1. Develop a comprehensive understanding of the fundamental principles and concepts that form the foundation of sustainability within corporate environments.
2. Explore the sustainability implementation model, focusing on effective measures and reporting strategies to track and communicate sustainability efforts.
3. Identify and define best practices and critical success factors essential for achieving sustainability goals within organizations.
CONTENTS
1. Introduction and Key Concepts of Sustainability
2. Principles and Practices of Sustainability
3. Measures and Reporting in Sustainability
4. Sustainability Implementation & Best Practices
To download the complete presentation, visit: https://www.oeconsulting.com.sg/training-presentations
Cracking the Workplace Discipline Code Main.pptxWorkforce Group
Cultivating and maintaining discipline within teams is a critical differentiator for successful organisations.
Forward-thinking leaders and business managers understand the impact that discipline has on organisational success. A disciplined workforce operates with clarity, focus, and a shared understanding of expectations, ultimately driving better results, optimising productivity, and facilitating seamless collaboration.
Although discipline is not a one-size-fits-all approach, it can help create a work environment that encourages personal growth and accountability rather than solely relying on punitive measures.
In this deck, you will learn the significance of workplace discipline for organisational success. You’ll also learn
• Four (4) workplace discipline methods you should consider
• The best and most practical approach to implementing workplace discipline.
• Three (3) key tips to maintain a disciplined workplace.
The world of search engine optimization (SEO) is buzzing with discussions after Google confirmed that around 2,500 leaked internal documents related to its Search feature are indeed authentic. The revelation has sparked significant concerns within the SEO community. The leaked documents were initially reported by SEO experts Rand Fishkin and Mike King, igniting widespread analysis and discourse. For More Info:- https://news.arihantwebtech.com/search-disrupted-googles-leaked-documents-rock-the-seo-world/
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𝐓𝐉 𝐂𝐨𝐦𝐬 (𝐓𝐉 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬) is a professional event agency that includes experts in the event-organizing market in Vietnam, Korea, and ASEAN countries. We provide unlimited types of events from Music concerts, Fan meetings, and Culture festivals to Corporate events, Internal company events, Golf tournaments, MICE events, and Exhibitions.
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It is a sample of an interview for a business english class for pre-intermediate and intermediate english students with emphasis on the speking ability.
RMD24 | Debunking the non-endemic revenue myth Marvin Vacquier Droop | First ...BBPMedia1
Marvin neemt je in deze presentatie mee in de voordelen van non-endemic advertising op retail media netwerken. Hij brengt ook de uitdagingen in beeld die de markt op dit moment heeft op het gebied van retail media voor niet-leveranciers.
Retail media wordt gezien als het nieuwe advertising-medium en ook mediabureaus richten massaal retail media-afdelingen op. Merken die niet in de betreffende winkel liggen staan ook nog niet in de rij om op de retail media netwerken te adverteren. Marvin belicht de uitdagingen die er zijn om echt aansluiting te vinden op die markt van non-endemic advertising.
RMD24 | Debunking the non-endemic revenue myth Marvin Vacquier Droop | First ...
Revolusi Industri 4.0 (ID)
1.
2. INDUSTRIAL REVOLUTION
The Fourth Industrial Revolution – Klaus
Schwab
Fist (1784)
Mechanical Production,
Railroads, and Steam
Power
Second (1870)
Mass Production, Electrical
Power, and the Advent of
the assembly line
Third (1969)
Automated Production,
Electronics and Computer
Forth (Now)
Artificial Intelligence, Big
Data, Robotics, and More to
Come
Aditya Randika – adityarandika@nilemstudio.com
3. INDUSTRY 4.0
• Organizational
Form
• Collaborative
Innovation
• Product
Enhancement
• Customer
Satisfaction
User Story –
Serving
Customer
Agile
Development
Challenge the
Assumption of
Operating
Teams,
Innovate
Digital
Capabilities :
- Big Data
- Machine
Learning
https://www.weforum.org/agenda/2016/01/the-fourth-industrial-revolution-what-it-means-and-how-to-respond/
Aditya Randika – adityarandika@nilemstudio.com
4. PENDORONG INDUSTRI 4.0
Blockchai
n
• Linux
Hyperledger
• Etherium based
smart contract
Artificial
Intelligence
• Machine Learning
• Deep Learning
• Machine
Intelligence
Big Data
• Internet of Things
(IOT)
•Web Scrapper
•Social Media
•Data Mining
Internet
• Cyber Physical
System
• All Device
Connected
• Mobile First
Innovation
• Digitalizing Existed
Business (Uber,
GO Jek)
• Startups Booming
• Venture Capital,
Angel Investor
Industry 4,0
Aditya Randika – adityarandika@nilemstudio.com
5. JACK MA DALAM REVOLUSI INDUSTRI 4.0 :
Revolusi Industri Kedua memunculkan mesin-mesin pengganti
tenaga manusia
Revolusi Industri Ketiga memunculkan komputer dan otomatisasi
dalam produksi
Revolusi industri Keempat muncul kecerdasan artificial (AI –
Artificial Intelligence)
Revolusi ini akan membuat banyak orang tidak senang karena AI
dengan algoritma Machine Learning bisa menggantikan
pekerjaan manusia.
Aditya Randika – adityarandika@nilemstudio.com
6. JACK MA DALAM MENGHADAPI INDUSTRI 4.0
Pendidikan saja tidak cukup, saat ini anda harus kreatif dan inovatif
Dorong produk lokal yang kemungkinan laku di jual di luar negeri
denggan menggunakan media internet , terutama produk yang
sering ditemukan di pasar local.
Inklusi pada perdagangan dan fokus ekstra pada Pendidikan.
Memulai pada saat ini, “Perbaiki atap anda ketika matahari masih
berada di langit - Jack Ma” karena tidak mungkin untuk
mencegah Industri 4.0
Aditya Randika – adityarandika@nilemstudio.com
7. TRADITIONAL VS MACHINE LEARNING
Study The
Problem
Write
Rules
Evaluate
Analyze
Error
Launch
Train ML
Algorithm
Evaluate
Solution
Launch
Update
Data
Data
Traditional Machine Learning
Can Be Automated
Hands – On Machine Learning with Scikit-Learn & Tensorflow – Aurelien Geron
Aditya Randika – adityarandika@nilemstudio.com
8. MACHINE LEARNING
Machine learning bisa membentuk model sendiri, sebelumnya model harus di
buat oleh analis dan sebuah model tidak bisa dengan cepat diadaptasi sesuai
perubahan di lapangan.
Menggunakan prinsip cara kerja neuron pada otak, sehingga machine learning
tidak perlu di program secara ekplisit untuk menemukan suatu pola dalam
data.
Tergantung pada banyaknya dan kualitas data yang didapat.
Hal yang tadinya sulit bagi mesin seperti mengenali pola pada gambar saat ini
sudah bisa ditiru oleh Machine Learning.
Aditya Randika – adityarandika@nilemstudio.com
9. MACHINE LEARNING
Input
Hand –
Designed
Program
Output
Traditional – Rule Based System
Machine Learning / Representation Learning
Input Features
Mapping
from
Features
Output
Deep Learning – Ian Goodfellow, Youshua Bengio, Aaron Courville
Learn From Data
Aditya Randika – adityarandika@nilemstudio.com
10. SIAPA SAJA YANG MENGGUNAKAN MACHINE LEARNING?
Google
Facebook
Man Group (https://www.cnbc.com/2017/09/28/man-group-
one-of-worlds-largest-funds-moves-into-machine-
learning.html)
Telkomsel
(https://www.cnnindonesia.com/teknologi/20170824115
529-213-236939/veronika-cara-telkomsel-bicara-dengan-
pelanggan/)
PT KAI
(https://kai.id/?_it8tnz=TWc9PQ==&_8dnts=WkdWMFlX
bHM=&_4zph=TVRFPQ==&_24nd=TVRrd01RPT0=)
Morgan Stanley
(https://www.bloomberg.com/news/articles/2017-05-
31/morgan-stanley-s-16-000-human-brokers-get-
algorithmic-makeover)
Aditya Randika – adityarandika@nilemstudio.com
11. MORGAN STANLEY’S 16,000 HUMAN BROKERS GET ALGORITHMIC
MAKEOVE
all them cyborgs. Morgan Stanley is about to augment its 16,000 financial advisers with machine-learning
algorithms that suggest trades, take over routine tasks and send reminders when your birthday is near.
The project, known internally as “next best action,” shows how one of the world’s biggest brokerages
aims to upgrade its workforce while a growing number of firms roll out fully automated platforms called
robo-advisers. The thinking is that humans with algorithmic assistants will be a better solution for wealthy
families than mere software allocating assets for the masses.
At Morgan Stanley, algorithms will send employees multiple-choice recommendations based on things like
market changes and events in a client’s life, according to Jeff McMillan, chief analytics and data officer for
the bank’s wealth-management division. Phone, email and website interactions will be cataloged so
machine-learning programs can track and improve their suggestions over time to generate more business
with customers, he said.
“We’re desperately trying to pattern you and your behavior to delight you with something you may not
have even been asking for, but based on what you have been doing, that you might find of value,”
McMillan said in an interview. “We’re not trying to sell you, we’re trying to find the things you want and
need.”
Faced with competition from cheaper automated wealth-management services and higher expectations set
by pioneering firms like Uber Technologies Inc. and Amazon.com Inc., traditional brokerages are starting
to chart out their digital future. It turns out that the best hope human advisers have against robots is to
harness the same technologies that threaten their disruption: algorithms combined with big data and
machine learning.
https://www.bloomberg.com/news/articles/2017-05-31/morgan-stanley-s-16-000-human-brokers-get-
algorithmic-makeover
Aditya Randika – adityarandika@nilemstudio.com
12. JACK MA ON SURVIVING FOR THE NEXT 30 YEARS
IQ, EQ and LQ (Love Quotient)
Wisdom not Muscle
Secret of China Grow so Fast
Future-Proof Our Kids
• Respect Others
• Care Others
• Compete by Wisdom
• Compete by Knowledge
• Chinese Learn a lot
• Open Minded
• Learn from others
• Learn Things That Computers Cannot
• Creative, Innovate, Sportsmanship, Culture
• Value and believe.
Aditya Randika – adityarandika@nilemstudio.com
