Fiqry Revadiansyah Sr. Data Scientist @ajaib.co.id Greetings from Distance A data scientist with 5+ years of experience, Passionate on human-centered technologies Linkedin Instagram
technologies among us 02 The Evolution Luminosity Digital acceleration through countless innovations 03 The Illustrious Asterism A big “hello” to data science the world Saturday | 2022-09-17 | Dies Natalis ITTP Sains Data ke-3 04 Uncharted Nebula The future of data science
Sains Data ke-3 Human and Technology Unexpectedly, we lived together with technology, day by day without interruption CLEAN EMAIL SIMILAR PRODUCT Rocketmail Automatic Spam Detector Shepoo Similar Product Ads DYNAMIC PRICING Gejok Pricing System by The Change of Environment Condition RECOMMENDATION Toktok “FYP” Recommendation 05:00 12:00 18:00 07:00
Sains Data ke-3 Exponential Growth of Data “The average screen time of Indonesian citizen is 08:37 (hour) per day, with 73.7% population using the Internet”* *https://www.statista.com/statistics/803524/daily-time-spent-using-online-media-by-activity-indonesia **https://www.internetlivestats.com/one-second/#google-band “There are almost 100.000 searches made at Google Engine for every 1 second”**
Sains Data ke-3 Data Structure: Image and Video Tesla provides autonomous driving system, help the people to drive and avoid the crash situation Technology: Computer Vision (CV) AUTONOMOUS DRIVING R-CNN ALGORITHM Saturday | 2022-09-17 | Dies Natalis ITTP Sains Data ke-3
Sains Data ke-3 Data Structure: Text Data Gmail text recommendation, suggest mail words along with correct the spellings. Technology: Natural Language Processing (NLP) TEXT RECOMMENDATION BERT ALGORITHM
Sains Data ke-3 Data Structure: Audio Data Amazon alexa enables us to do something, such as playing music or turn on electronic devices based on our voice commands. Technology: Automated Speech Recognition (ASR) VOICE RECOGNITION ASR ALGORITHM
Sains Data ke-3 The Characteristic of Big Data The big data analytics market will reach a value of around $103 billion by 2027** *https://www.ibm.com/blogs/watson-health/the-5-vs-of-big-data/ **https://www.statista.com/statistics/254266/global-big-data-market-forecast/ VOLUME VARIETY VELOCITY VERACITY VALUE
Data ke-3 Historical Integration How does the academic contributed to the stimulation world’s technology RESEARCH AND DEVELOPMENT How does money changed the way people see the world SOCIAL - ECONOMY How does a war made the world’s instability WORLD WAR How does a congress shaped a new world POLITICAL WHEEL
Data ke-3 Historical Integration STEAM ENGINE 1780 - 1870 ASSEMBLY LINE 1870 - 1950 AI & IOT 2010 - Now ROBOTICS & COMPUTER 1970 - Now 100 years on average Only 40 years *VUCA firstly introduced in 1987 *Bennis, W. (1987)
Data ke-3 VUCA World: Statement of Survivability A condition to describe the current world situation after cold war, which is volatile, uncertain, too complex, and ambiguous (Bennis, W., 1987) VUCA WORLD (1987) OPEN INNOVATION FRUGAL INNOVATION COMMUNITY INNOVATION DISRUPTIVE INNOVATION
Data ke-3 Disruptive Innovation Nature An innovation that creates a new market which eventually disrupts an existing market, displacing established market-leading firms, products, and alliances* DISRUPTIVE INNOVATION ENTRANTS INCUMBENTS
Data ke-3 Evolved Paradigm: Research and Development The Idea of Data-Driven decision is not exactly new, it is a human nature to make decision based on data. Our ancestors shown that they made a map of the world, using a clay tablet (700 - 500 BCE) Even in the early 18th centuries, people decided things using a back form of data, like paper to write and store information. CLAY TABLET
Data ke-3 Evolved Intelligence: Storage and Speed Thanks to electricity invention, the first wave of technological advancement born in 1954 (First computer by IBM, IBM 650). Computer helps human to make a quicker decision making with abundant information. Right now, we have CPU, GPU, TPU, etc. Even nowadays, IBM developed the latest computer innovation using quantum technology, which performed 158 million times faster than the most sophisticated supercomputer this age.
Data ke-3 Evolved Job: Digital Skills are Urgently needed Tech-related Jobs Increased Rapidly Repetitive Jobs, on the other hand, Plunged significantly *World Economic Forum (WEF) - (2020)
Data Science Sundries Data Science Definition Data Science is a multidisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insight from structured and unstructured data
Data Science Sundries Data Science Roles DECISION SCIENCE BUSINESS SCIENCE MARKETING SCIENCE How to accelerate a powerful business decision, by having low risk mechanism and potentially gain immense impacts How to make a worthwhile business campaign, spend less money to produce huge revenue How to accurately market a business product, attract new customers and protect the loyal users
Data Science Sundries Decision Science: Product Marketing Help non-technical users to recognize their own products by actionable insights and strategies. Products: Analytics Dashboard, Insight Visualization, Monitoring and Alerting System.
Data Science Sundries Decision Science: Market Prediction Help non-technical users to predict accurately the next data pattern/behavior Products: Predictive Modeling, Dynamic Pricing, Time Series Forecasting
Data Science Sundries Decision Science: Product Experimentation Help non-technical users to recklessly launch product to market, reduce the potential lost Products: A/B Testing, Sampling and Interview Analysis
Data Science Sundries Business Science: Fraud Detection Help non-technical users to find out fraudulent activities among the business. Products: Credit Scoring, Fraud Behavioral Analytics, User-based Segmentation
Data Science Sundries Business Science: Churn Prediction Help non-technical users to identify and prevent churn behavior of customers. Products: Churn Prediction Modeling, HR Attrition Dashboard
Data Science Sundries Business Science: Social Media Analytics Help non-technical users to reveal social media trends for business strategy. Products: Sentiment Analysis, Product-Market-Fit Analysis, Social Engagement Dashboard
Data Science Sundries Marketing Science: Customer Segmentation Help non-technical users to enhance product marketing to specific customer groups Products: RFM Analysis, Customer Segmentation Modeling
Data Science Sundries Marketing Science: Recommender System Help non-technical users to increase their sellings by recommend desired products Products: Content-based Filtering, Collaborative Filtering
Data Science Sundries Marketing Science: Targeted Ads Help non-technical users to create multi-channel and trustful ads to attract new customers Products: Targeted Ads, Omni-channel Dashboard
Manager Principal Data Scientist Senior Data Science Manager Data Science Architect Head of Data Science VP of Data SVP of Data Chief Data Officer Saturday | 2022-09-17 | Dies Natalis ITTP Sains Data ke-3 Career Advancement Data Science Career Journey
BI Engineer Data Steward Data Analyst Data Scientist Decision Scientist Analytics Engineering AI/ML Engineer AI/ML Architect Governance Saturday | 2022-09-17 | Dies Natalis ITTP Sains Data ke-3 Career Advancement The Sundries of Data Science Job
fiqryr
sato4
ymatsuwitter
yoshiyuki_kono
usanchuu
kubell_hr
ks91
kakehashi
kaonavi
line_developers_tw
kasada
shibayu36
itouhi
sonatard
bermonpainter
pauljervisheath
katiecoart
chriscoyier
soysaucechin
garrettdimon
kimpetersen
rasagy
madoxten
.png){kind=avatar}
helenjbeal
signer
