Sitemap - 2024 - Wild Intelligence by Yael Rozencwajg
📨 Weekly digest: 20 2024 | Is AI a threat or an opportunity?
📮 Maildrop 14.05.24: How do we deal with the transparency gap?
🚨❓ Whose job does AI automate?
📨 Weekly digest: 19 2024 | In AI, we trust?
🎲 5 data that explain the state of AI in 2024 | Part 2/3
📮 Maildrop 7.05.24: Data alone is not the answer, so what are the underlying issues?
📨 Weekly digest: 18 2024 | AI: what are the use cases?
📌 From sci-fi dreams to factory floors: How AI is revolutionizing robotics
🎲 5 data that explain the state of AI in 2024 | Part 1/3
📮 Maildrop 1.05.24: AI is only 10% of the problem
📨 Weekly digest | Who are the people that should be in charge of data management in the new paradigm
🚨❓ Can AI have a net positive impact on the planet?
🚨❓ Can AI models realistically predict human behavior?
📨 Weekly digest: 16 2024 | How much data do we really need?
🎲 The Rise of the AI co-worker
🚨❓ Does the AI hype hit a wall?
📨 Weekly digest: 15 2024 | Is AI infinite?
🎲 Can AI really reshape the data center landscape?
🎯 Enterprise AI: leveraging the power of AI, the recap
🚨❓ How AI-powered chatbots help us, as a society?
📨 Weekly digest: 14 2024 | How do we build businesses that survive the next big threats with AI?
📌 How can AI make agriculture greener?
🎲 The energy consumption of AI is a complex issue, where do we go, what should we do?
🎯 Enterprise AI: how to unlock your business potential with AI
🚨❓ What outcomes can we expect businesses to achieve by adopting AI?
📨 Weekly digest: 13 2024 | AI on the edge?Let's explore the new frontier
📌 Algorithmic hiring tools: the need for global policy
🎯 Enterprise AI, the resources
📮 Maildrop 26.03.24: Should we believe in AI ethics?
Workbook training: AI technologies, democracy, and culture, part 5
🚨❓ Should we fear OpenAI ChatGPT + Robot = Figure 01?
📨 Weekly digest: 12 2024 | Where do we go with AI from here?
📌 Bias detection in facial recognition software
🎲 What else do we need to encourage broader responsibility for AI?
📮 Maildrop 19.03.24: on bias and fairness in AI models
🚨❓ How critical is AI regulation in the next 3-5 years?
📨 Weekly digest: 11 2024 | Time will tell, or not
📌 Algorithmic advisor - AI for personalized wealth management
🎲 The EU AI Act, the first extensive global AI regulation, is approved. What does it mean?
🎯 Enterprise AI, the challenges
📮 Maildrop 12.03.24: How can AI algorithms be designed to learn and adapt over time?
🚨❓ Is your privacy governance ready for AI?
📨 Weekly digest: 10 2024 | Artificial Intelligence: Are we ready for it?
🎲 Unlocking existing knowledge with AI, needs, numbers, and trends
🎯 Enterprise AI, the platform (and the processes)
📮 Maildrop 05.03.24: Why you need more than just “Large Language Models”
Workbook training: Barriers to scale in a complex environment, part 4
🚨❓ How does your business work with AI?
📨 Weekly digest: 9 2024 | Let’s dive into the future of work
🎲 AI algorithms, what are they?
📮 Maildrop 27.02.24: How do you understand the impact of AI systems on your organization?
🚨❓ What business unit will be most enhanced by AI?
📨 Weekly digest: 8 2024 | AI and monster growth
🎲 AI’s vulnerabilities exposed, what to expect?
🎯 Enterprise AI, the use cases
📮 Maildrop 20.02.24: How do we understand what AI systems are doing?
Workbook training: Growth and resilience, part 3
🚨❓Will generative models replace our brains?
📨 Weekly digest: 7 2024 | Is 2024 the year of the AI PoC?
🎲 Fake news: misinformation, disinformation, and propaganda
🎯 Enterprise AI, the real needs
📮 Maildrop 13.02.24: Can LLM be human?
Workbook training: Perspectives for defensibility, part 2
🚨❓How do you use generative AI in your business?
📨 Weekly digest: 6 2024 | GenAI against the world
🎲 How does automation change us?
🎯 Enterprise AI, leveraging the power of AI
📮 Maildrop 06.02.24: The important task of adopting an inclusive AI evaluation system
Workbook training: Introduction to the data transformation era, part 1
🚨❓What Artificial Intelligence cannot do?
📨 Weekly digest: 5 2024 | We are ABSOLUTELY underestimating the impact of AI on our lives
📌 What autonomous vehicles tell us about artificial intelligence risks
🎲 Why data analysis is important (and why most people misunderstand it)
🎯 Enterprise AI, a toolbox for risk management
📮 Maildrop 30.01.24: You're looking to build an AI project. What do you expect?
Workbook: Building a sustainable data-driven organization, part 5
🚨❓Where is AI going to be used the most?
📨 Weekly digest: 4 2024 | AI avatars for everything
📌 How artificial intelligence is lifting up marketplaces
🎲 Artificial intelligence stocks, would you invest?
🎯 Recommendations and best practices [part 5/5]
📮 Maildrop 23.01.24: What's your data strategy to identify business risks?
Workbook: Building a sustainable data-driven organization, part 4
🚨❓Will artificial intelligence take over the world?
📨 Weekly digest: 3 2024 | AI: your problem is everyone's problem
📌 How the healthcare industry can win big with AI
🎲 "AI is for others. AI is bad for society. I let others deal with it."
🎯 How to instill AI integrity [part 4/5]
📮 Maildrop 16.01.24: How can you ensure that your AI software is the one that fits your business?
Workbook: Building a sustainable data-driven organization, part 3
🚨❓How do you select the perfect AI model for your business?
📨 Weekly digest: 2 2024 | AI is here: we have to realign our resources
📌 How banks are using generative AI
🎲 "328.77 million terabytes of data are created each day."
🎯 Operationalize trustworthy AI Governance [part 3/5]
📮 Maildrop 09.01.24: How can you keep your Data Governance knowledge updated?
Workbook: Building a sustainable data-driven organization, part 2
🚨❓How do you use data to your advantage?
📨 Weekly digest: 1 2024 | AI and our search for meaning
🎯 Principles for trustworthy AI systems [part 2/5]
📮 Maildrop 02.01.24: AI, how it started, how it goes
Workbook: Building a sustainable data-driven organization, part 1