Mechanization, steam and waterpower First Industrial Revolution Ca. 1870 - 1940 Mass production and electricity Second Industrial Revolution Ca. 1950 - 2000 Electronic and IT systems, automation Third Industrial Revolution Ca. 2010 – and ongoing! Physical, digital and biological technologies and beyond Fourth Industrial Revolution
AI LITERACY COMMUNICATING WITH DATA WORKING WITH DATA Theory & Analysis Reporting & Presentation Data literacy “The ability to work with, analyze & argue with data” AI literacy “The ability to recognize, grasp, use and critically assess AI’s technologies and their impact” Ben Jones - AI Literacy Fundamentals & Datacamp states a similar approach Data literacy “The ability to work with, analyze & argue with data” AI literacy “The ability to recognize, grasp, use and critically assess AI’s technologies and their impact” Ben Jones - AI Literacy Fundamentals Datacamp states a similar approach True AI Literacy requires Data Literacy Everything is fueled by DATA! Data & AI Literacy Data & AI Literacy refers to the holistic understanding of data, analytics and behavioral concepts
exactly what you train it to do! • The actions that AI takes will be guided 100% by user defined outcomes. • The AI based tools only get smarter the more that they are used. The AI-Tsunami (created with DALLE) Business Data Challengers
AI • Data Analysis • Predictive Modeling • Pattern & Anomaly Recognition • Classification and Clustering • Optimization • Decision Support Generative AI • Content Creation • Personalization • Language Translation • Creative Exploration • Explanations and Clarifications • Socratic Questioning Business Data Challengers
Optimalization of queries and formulas Commenting of code Research purposes Troubleshooting or debugging Creating tutorials, guides, and summaries. Providing data viz tips, or KPI tips Automating tasks Generating of van data sets & metadata suggestions And many more…….. Business Data Challengers
INFORMATION MANAGEMENT PRIVACY, SECURITY & AI MANAGEMENT DATA GOVERNANCE -MANAGEMENT INNOVATION MANAGEMENT Everything needs to be in place! Business Data Challengers ACTION L E A D E R S H I P
source/provenance • Promotes new types of plagiarism • Disrupts business models • Easier to generate fake news • Easier to dismiss real evidence as AI fakes • Enables impersonation for cyber attacks • Challenges such as ethical considerations, bias and responsibility. Business Data Challengers
with the curiosity and the know-how to: Being Data & AI Literate…. Recognize Usefulness Make Decicions Interrogate Reliability Discover Meaning Communicate Findings Use Ethically Business Data Challengers
talent • It’s about upskilling and reskilling existing employees What does this all mean? (Gen)AI is reshaping the workplace • It is helping us go from doing things better to doing better things • That requires employees to adapt to new ways of working and acquire new skills Bridge the skills gap • Foster a culture of continuous learning • Reskilling has a positive impact on employee engagement and retention • An (Gen) AI-Ready workforce is a key driver for innovation and competitiveness Business Data Challengers
Develop a learning plan Leverage External Partnerships Encourage a Growth mindset Provide support and resources Recognize and reward progress Integrate AI into Career Development paths Monitor and adjust the strategy Strategies for building a Data & AI literate ready workforce Source: Kevin Hanegan – From data to Wisdom & Data Literacy in Practice Business Data Challengers
• First learn stand, then learn fly. Nature rule, Daniel-San, not mine • Man, who catch fly with chopstick accomplish anything. • Hey, what kind of belt do you have? • Whole life have a balance. Everything be better. Understand? Business Data Challengers
70% Time left With AI 20% 50% 30% Time left With Data & Analytics 20% 80% Without Data & Analytics Speed? Source: Daan van Beek - Passioned Business Data Challengers
• Why did it happen • How can we improve Then gradually move towards Analytics • What is about to happen • What to prescribe? • What can we extract from it (what to do with it) Go Beyond ML, Artificial Intelligence or Augmented Reality Prescriptive, determinative, automating and so on! Business Data Challengers
• Scan the label • Fill in your personal details • Win tickets (or not) • Collect data from the created events • Get the data and analyze Business Data Challengers
mark3t1ng
jct
schroneko
tammyeverts
gr2m
jonoalderson
shlominoach
chriscoyier
tapps
inesmontani
kneath
jnunemaker
katarinadahlin
![Business Data Challengers YouTube LinkedIn Business Data Challengers [email protected] +31](https://files.speakerdeck.com/presentations/74f1732ebab2480aa34528e2eee2b145/slide_30.jpg){kind=link}