Sitemap - 2024 - Wild Intelligence by Yael Rozencwajg
๐ฎ Maildrop 31.12.24: Data safety: Protecting your crown jewels
๐ Building AI we can rely on: The pursuit of robust and safe AI systems
๐จ Weekly digest: 52 2024 | Riding the wave: navigating the evolutionary cycles of 2025
๐ Gen AI case study: Shell, optimizing energy exploration with AI-powered analysis
Human-AI collaboration and governance | Episode 12, The Wild Pod
๐ฒ Open source vs. proprietary: choosing the right AI tools
๐ฏ How to build with AI agents | Under the hood: demystifying the tech stack of virtual agents
๐ฎ Maildrop 24.12.24: The AI safety imperative: Building safety first LLMs
๐ The mirror: Confronting bias and inequality in artificial intelligence
๐จ Weekly digest: 51 2024 | Our advancements in uniting AI
๐ Gen AI case study: Johnson & Johnson, accelerating drug discovery with AI
Security and robustness | Episode 11, The Wild Pod
๐ฒ Build vs. buy: striking the right balance in AI development
๐ฏ How to build with AI agents | Creating truly interactive experiences with virtual agents
๐ Taming the beast: The challenge of aligning AI with human values
๐จโCan decentralization ensure inclusion and representation?
๐จ Weekly digest: 50 2024 | The obsessive pursuit of AGI is inherently reckless
๐ Gen AI case study: Cardinal Health, optimizing healthcare supply chains with AI
Bias, fairness, and explainability | Episode 10, The Wild Pod
๐ฒ The AI engine: choosing the right platform for your needs
๐ฎ Maildrop 10.12.24: The threat landscape evolves: why LLMs are the game-changers
๐ Unlocking the black box: The quest for explainable AI
๐จโHow can AI enhance citizen participation?
๐จ Weekly digest: 49 2024 | The AI paradox: will we choose convenience over truth?
๐ Gen AI case study: Autodesk, revolutionizing 3D design with generative AI
Foundations of AI safety | Episode 9, The Wild Pod
๐ฒ Data as the foundation: building a secure and scalable data pipeline
๐ฎ Maildrop 03.12.24: How LLMs can enhance cyber safety, intro to a new series
๐ The AI arms race: How hackers are weaponizing machine learning
๐จโAre we outsourcing our brains?
๐ Gen AI case study, Salesforce: enhancing customer service with AI-powered chatbots
The road ahead: a call to responsible innovation | Episode 8, The Wild Intelligence Podcast
๐ฒ Laying the foundation: the TOP framework approach to AI infrastructure
๐ฏ How to build with AI agents | Building a safe and trustworthy future with virtual agents
๐ The AI time bomb: How data poisoning could corrupt our future
๐จโWhat's your biggest concern about AI governance?
๐ Gen AI case study: Coca-Cola, transforming marketing with AI-generated content
๐ฒ Bridging the gap: ensuring AI safety in a future-proof infrastructure
๐ฏ How to build with AI agents | A conclusion for the AI virtual agents series
๐ฎ Maildrop 19.11.24: A proactive approach to mitigating LLM-powered XSS attacks
๐ AI on the brink: How prompt injection hacks are exposing the dark side of AI
๐จโWhat's the biggest obstacle to ensuring responsible AI?
๐จ Weekly digest: 46 2024 | The AI art paradox: will machines kill human creativity?
๐ Case study: how Uber balances open-source and in-house LLM training
The human response: revolution or realignment? | Episode 7, The Wild Intelligence Podcast
๐ฒ Enterprise AI ROI: demonstrating value and impact while prioritizing safety
๐ฏ How to build with AI agents | FAQs of AI virtual agents series
๐ฎ Maildrop 12.11.24: A deeper dive into LLM-powered SQL injection
๐ Emerging challenges and future trends
๐จโWhat do you believe is the most common misconception about AI/ML?
๐จ Weekly digest: 45 2024 | The AI pandora's box: have we unleashed a force beyond our control
๐ Case study: The future of dating - algorithms vs. serendipity
The singularity and its shadows | Episode 6, The Wild Intelligence Podcast
๐ฒ Enterprise AI governance: frameworks and best practices for safe and ethical AI
๐ฏ How to build with AI agents | Ethics and the future of virtual agents
๐ฎ Maildrop 05.11.24: The evolving threat of LLM-powered packet sniffing
๐ Human-AI collaboration and governance
๐จโ Will AI make human creatives obsolete?
๐ Case study: AI just helped someone sue their landlord without a lawyer
The algorithmโs bias | Episode 5, The Wild Intelligence Podcast
๐ฒ Enterprise AI and trust: building confidence through safety and transparency
๐ฏ How to build with AI agents | The tech stack of virtual agents
๐ฎ Maildrop 29.10.24: The future of LLM-powered keyloggers (slides inside)
๐จโ Who controls the future? The AI power grab and its societal impact
๐จ Weekly digest: 43 2024 | The robots are coming: is AI the ultimate disruptor of society?
๐ Case study: The AI kingdom at war: Microsoft vs. OpenAI?
The genesis: a flawed utopia | Episode 4, The Wild Intelligence Podcast
๐ฒ Enterprise AI and the workforce: skills, talent, and the future of work with AI safety
๐ฏ How to build with AI agents | Building interactive experiences
๐ฎ Maildrop 22.10.24: The evolving threat of LLM-powered RATs (slides inside)
๐ Bias, fairness, and explainability
๐จโ Pattern recognition vs. abstract reasoning: What does it mean to be intelligent?
๐จ Weekly digest: 42 2024 | The Faustian bargain of AI: trading privacy for convenience
๐ AI's gamble: will Insurers win or fold?
๐ฒ Enterprise AI culture: aligning structure and fostering a safety-first mindset
๐ฏ How to build with AI agents | Designing for presence and personality
๐ฎ Maildrop 15.10.24: Harnessing LLMs to combat Botnet threats (slides inside)
Weekly digest: 41 2024 | That tipping point of the consequences of AI
๐ At the intersection of government and AI: a new era of warfare?
Unmasking the ethical dilemmas of AI in security | Episode 3, The Wild Intelligence Podcast
๐ฒ Enterprise AI readiness: building a safe and secure foundation
๐ฏ How to build with AI agents | Defining the virtual agent - beyond the chatbot
๐ฎ Maildrop 08.10.24: LLM-powered DDoS threats are real (slides inside)
๐ Building safe intelligence systems: moving beyond the AI dystopia (new online course)
๐จโ Whatโs the most challenging aspect of scaling AI?
๐จ Weekly digest: 40 2024 | The paradoxical nature of AI
๐ Is AI safety an illusion?
The perils and promise of AI governance | Episode 2, The Wild Intelligence Podcast
๐ฒ Enterprise AI adoption: why a TOP framework is critical for success
๐ฎ Maildrop 01.10.24: The stakes are high for social engineering (slides inside)
Our AI safety mission | Systems from the AI dystopia series
๐จโ What will grow faster, the supply of AI competitors or the demand for more model training?
๐จ Weekly digest: 39 2024 | Embracing the reality of "Jagged AI"
๐ How can we outsmart the next AI threat frontier?
๐ฒ Enterprise AI: how to unmask the biases, your reputation and bottom line are at play
The ghosts in the machine: A haunting look at AI in 2054 | Systems from the AI dystopia series
๐ฎ Maildrop 24.09.24: LLMs weaponized for malicious purposes (slides inside)
๐จโ How do you balance the need for speed and complexity in AI systems?
Weekly digest: 38 2024 | The AI arms race: who will win the generative model battle
Weekly digest: 38 2024 | The AI arms race: who will win the generative model battle
๐ Does the abuse of AI hype for mass data collection cost a huge fraud risk?
๐ฒ Enterprise AI: the hidden perils of unsecured systems
๐ฏ How to build with AI agents | AI is increasingly integrated into our security infrastructures
๐ฎ Maildrop 17.09.24: The growing sophistication of LLM-powered phishing (slides inside)
The Mind Meld | Systems from the AI dystopia series
๐จโ After AI conquers the world, will โa teamโ still be relevant?
๐จ Weekly digest: 37 2024 | Is the pursuit of progress isolating us?
๐ Decision-leaders: OpenAI's "Strawberry" signals a major AI shift
๐ฒ Enterprise AI: your advantage is to control the demand
๐ฏ How to build with AI agents | AI Guardians: balancing security and freedom in the Digital Age
๐ฎ Maildrop: The crucial role of data preparation in large models (slides inside)
The surveillance nexus: a dystopian communication system | Systems from the AI dystopia series
๐จโWhy is Big Tech freaking out about AI?
๐จ Weekly digest: 36 2024 | Does our insatiable appetite for data-driven insights feed a monster?
๐ Does innovation trump compliance in the name of profit?
๐ฒ AI's hidden prejudice: your system's biases lead to unfair decisions
๐ฏ How to with AI agents | Deep dive: AI agents: a consensus built on bias?
๐ฎ Maildrop 03.09.24: Keeping LLM data fresh: a constant challenge
Can AI personalization be fair for all?
๐จ Weekly digest: 35 2024 | AI and the growing ultracrepidarian movement
๐ฒ Enterprise data privacy in AI: a complex challenge
๐ฎ Maildrop 27.08.24: From shallow to deep: why domain understanding is essential for AI
The Oracle System: Hallucinatory Truth | Systems from the AI dystopia series
๐จโWhat costs us innovation and competitive differentiation?
๐จ Weekly digest: 34 2024 | Does tech progress erode humanity?
๐ Fortune 500 and the AI enigma: power in ignorance
๐ฒ AI's Future: corporate dominance or collaborative governance?
The Perpetual Motion | Systems from the AI dystopia series
๐จโIs our relentless pursuit of data and efficiency stifling the human spark?
๐จ Weekly digest: 33 2024 | Can emerging economies recreate tech success infinitely?
๐ Walmart's AI breakthrough: a game-changer in retail?
๐ฒ The Hype Cycle and the reality of Generative AI
๐ฏ How to with AI agents | Deep dive: can agentic RAG be used to address complex ethical dilemmas
๐ฎ Maildrop 13.08.24: The computational trade-offs of multimodal models
The Mirage Project: Where innovation becomes illusion | Systems from the AI dystopia series
How to build with LLMs: featured posts
๐จ Weekly digest: 32 2024 | Why GenAI is overhyped, and why is it just a matter of time?
๐ The complexity conundrum (is the cloud a fragile giant?), guest post: Tony Fish
๐ฒ Are we ready to say goodbye to the golden age of professions?
๐ฏ How to with AI agents | Deep dive: how will AI agents disrupt legacy industries?
๐ฎ Maildrop 06.08.24: LLMs as architects of immersive worlds
The Hype Machine | Systems from the AI dystopia series
๐จโAre we building a world like a house of cards that could collapse?
๐จ Weekly digest: 31 2024 | Why AI progress breaks the linear mold
๐ฒ Beyond the hype: AI's dark side
๐ฏ How to with AI agents | Deep dive: how can we trust AI vision in critical tasks?
๐ฎ Maildrop 30.07.24: The challenge of bias in human-labeled benchmarks
The phoenix eye | Systems from the AI dystopia series
๐จโIs the LLM hype real, or will it be the next enterprise fad?
๐จ Weekly digest: 30 2024 | Artificial General Intelligence unveiling the enigma
๐ฒ Cyber-insecurity: the cost of dominance
๐ฎ Maildrop 23.07.24: Human flaws that let too many things slip through, or an orchestration?
The Kizuna model | Systems from the AI dystopia series
๐จโIs user safety and a thriving marketplace a zero-sum game
๐จ Weekly digest: 29 2024 | What if hackers had access to the same outage?
๐ Is hyperautomation the death of meaningful communication?
๐ฒ Navigating the labyrinth: AI ethics in a profit-driven world
๐ฎ Maildrop 16.07.24: The growth of nonsensical queries (and the unsatisfying search results)
Singular views | Systems from the AI dystopia series
๐จโIs AI fundamentally limited, or will it eventually achieve human-like creativity?
๐จ Weekly digest: 28 2024 | High AI cost: barrier or bump in the road?
๐ Why we need to fear from AI generated content: boon or bane for digital trust
๐ฒ The great LLM debate: powerhouse potential or overhyped tech?
๐ฏ How to with AI agents | Part 5: The democratization of AI
๐ฎ Maildrop 09.07.24: How AI impacts corporate finance (and what to do with it)
Streamlined decisions | Systems from the AI dystopia series
๐จโ Can AI make the nonobvious appear obvious?
๐จ Weekly digest: 27 2024 | Can AI help us live forever?
๐ Why doubling down on embedded finance won't solve the fintech fracture
๐ฒ Finally, the dawn of the convergence of marketing and sales?
๐ฏ How to with AI agents | Part 4: Strategy as the key driver
๐ฎ Maildrop 02.07.24: AI will make marketing harder
AI dystopia series | Frequently Asked Questions
๐จโ Can AI ever truly go it alone?
๐จ Weekly digest: 26 2024 | The duality of data: friend or foe in the age of intelligent software?
๐ The delicate dance: AI safety, cybersecurity, and the nuances of risk
๐ฒ The achilles' heel of AI: cyber resilience
๐ฏ How to with AI agents | Part 3: Gradual market expansion
๐ฎ Maildrop 25.06.24: Designing AI features for transparency and user-friendliness
AI dystopia series | A pragmatic recap
๐จโWould an AI assistant be good enough to replace the one in the "Devil wears Prada"?
๐จ Weekly digest: 25 2024 | AI is a functionality, not a product
๐ How AI can redefine the way we think about the built environment
๐ฒ Build or buy AI? The question most businesses (should) ask
๐ฏ How to with AI agents | Part 2: Targeting the underserved
๐ฎ Maildrop 18.06.24: The embodiment enigma
AI dystopia series | The road ahead: a call to responsible innovation
๐จโWhat happens if LLMs cook our meals and the kitchen has a missing ingredient?
๐จ Weekly digest: 24 2024 | Can a machine be truly unconscious?
๐ How AI can enhance HVAC systems, the silent guardians of our thermal well-being
๐ฒ AI could stifle independent thought
๐ฏ How to with AI agents | Part 1: How to perform?
๐ฎ Maildrop 11.06.24: LLMs lack human intelligence, and won't match anytime soon
AI dystopia series | The human response: revolution or realignment?
๐จโWhat happens if we ask AI to behave like a cat and speak with a cat?
๐จ Weekly digest: 23 2024 | If AI structures the unstructured, does it solve the problem?
๐ฏ Enterprise AI: leveraging the power of AI, the recap
๐ฎ Maildrop 04.06.24: AI demos lack real-world use cases
AI dystopia series | The singularity and its shadows
๐จ Weekly digest: 22 2024 | How do we govern ourselves in the AI era?
๐ How do we keep our ability to interpret things in the new automated paradigm?
๐ฒ The rush to buy GPU compute capacity
๐ฏ Enterprise AI, leveraging the power of AI
๐ฎ Maildrop 28.05.24: Are LLMs paradoxical?
AI dystopia series | The algorithmโs bias
๐จโ AI sapiens: how do we achieve general intelligence?
๐จ Weekly digest: 21 2024 | AI: we're moving from 'just' knowing... to knowing AND doing
๐ฎ Maildrop 21.05.24: Why do we keep misusing a powerful tool?
AI dystopia series | The genesis: a flawed utopia
๐จโ Is a wrong AI decision a mistake, a bad choice or an error?
๐จ Weekly digest: 20 2024 | Is AI a threat or an opportunity?
๐ฎ Maildrop 14.05.24: How do we deal with the transparency gap?
๐จโ Whose job does AI automate?
๐จ Weekly digest: 19 2024 | In AI, we trust?
๐ฒ 5 data that explain the state of AI in 2024 | Part 2/3
๐ฎ Maildrop 7.05.24: Data alone is not the answer, so what are the underlying issues?
๐จโ Is it all about the data?
๐จ Weekly digest: 18 2024 | AI: what are the use cases?
๐ From sci-fi dreams to factory floors: How AI is revolutionizing robotics
๐ฒ 5 data that explain the state of AI in 2024 | Part 1/3
๐ฎ Maildrop 1.05.24: AI is only 10% of the problem
Enterprise AI toolbox: leveraging the power of AI
๐จโ Can AI have a net positive impact on the planet?
๐จโ Can AI models realistically predict human behavior?
๐จ Weekly digest: 16 2024 | How much data do we really need?
๐ฒ The Rise of the AI co-worker
๐จโ Does the AI hype hit a wall?
๐จ Weekly digest: 15 2024 | Is AI infinite?
๐ฒ Can AI really reshape the data center landscape?
๐ฏ Enterprise AI: leveraging the power of AI, the recap
๐จโ How AI-powered chatbots help us, as a society?
๐จ Weekly digest: 14 2024 | How do we build businesses that survive the next big threats with AI?
๐ How can AI make agriculture greener?
๐ฒ The energy consumption of AI is a complex issue, where do we go, what should we do?
๐ฏ Enterprise AI: how to unlock your business potential with AI
๐จโ What outcomes can we expect businesses to achieve by adopting AI?
๐จ Weekly digest: 13 2024 | AI on the edge?Let's explore the new frontier
๐ Algorithmic hiring tools: the need for global policy
๐ฏ Enterprise AI, the resources
๐ฎ Maildrop 26.03.24: Should we believe in AI ethics?
Workbook training: AI technologies, democracy, and culture, part 5
๐จโ Should we fear OpenAI ChatGPT + Robot = Figure 01?
๐จ Weekly digest: 12 2024 | Where do we go with AI from here?
๐ Bias detection in facial recognition software
๐ฒ What else do we need to encourage broader responsibility for AI?
๐ฎ Maildrop 19.03.24: on bias and fairness in AI models
๐จโ How critical is AI regulation in the next 3-5 years?
๐จ Weekly digest: 11 2024 | Time will tell, or not
๐ Algorithmic advisor - AI for personalized wealth management
๐ฒ The EU AI Act, the first extensive global AI regulation, is approved. What does it mean?
๐ฏ Enterprise AI, the challenges
๐ฎ Maildrop 12.03.24: How can AI algorithms be designed to learn and adapt over time?
๐จโ Is your privacy governance ready for AI?
๐จ Weekly digest: 10 2024 | Artificial Intelligence: Are we ready for it?
๐ฒ Unlocking existing knowledge with AI, needs, numbers, and trends
๐ฏ Enterprise AI, the platform (and the processes)
๐ฎ Maildrop 05.03.24: Why you need more than just โLarge Language Modelsโ
Workbook training: Barriers to scale in a complex environment, part 4
๐จโ How does your business work with AI?
๐จ Weekly digest: 9 2024 | Letโs dive into the future of work
Enterprise AI, a toolbox for risk management
๐ฒ AI algorithms, what are they?
๐ฎ Maildrop 27.02.24: How do you understand the impact of AI systems on your organization?
๐จโ What business unit will be most enhanced by AI?
๐จ Weekly digest: 8 2024 | AI and monster growth
๐ฒ AIโs vulnerabilities exposed, what to expect?
๐ฏ Enterprise AI, the use cases
๐ฎ Maildrop 20.02.24: How do we understand what AI systems are doing?
Workbook training: Growth and resilience, part 3
๐จโWill generative models replace our brains?
๐จ Weekly digest: 7 2024 | Is 2024 the year of the AI PoC?
๐ฒ Fake news: misinformation, disinformation, and propaganda
๐ฏ Enterprise AI, the real needs
๐ฎ Maildrop 13.02.24: Can LLM be human?
Workbook training: Perspectives for defensibility, part 2
๐จโHow do you use generative AI in your business?
๐จ Weekly digest: 6 2024 | GenAI against the world
๐ Whatโs next for AI video?
๐ฒ How does automation change us?
๐ฏ Enterprise AI, leveraging the power of AI
๐ฎ Maildrop 06.02.24: The important task of adopting an inclusive AI evaluation system
Workbook training: Introduction to the data transformation era, part 1
๐จโWhat Artificial Intelligence cannot do?
๐จ Weekly digest: 5 2024 | We are ABSOLUTELY underestimating the impact of AI on our lives
๐ What autonomous vehicles tell us about artificial intelligence risks
๐ฒ Why data analysis is important (and why most people misunderstand it)
๐ฏ Enterprise AI, a toolbox for risk management
๐ฎ 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
๐จโWhere is AI going to be used the most?
๐จ Weekly digest: 4 2024 | AI avatars for everything
๐ How artificial intelligence is lifting up marketplaces
๐ฒ Artificial intelligence stocks, would you invest?
๐ฏ Recommendations and best practices [part 5/5]
๐ฎ Maildrop 23.01.24: What's your data strategy to identify business risks?
Workbook: Building a sustainable data-driven organization, part 4
๐จโWill artificial intelligence take over the world?
๐จ Weekly digest: 3 2024 | AI: your problem is everyone's problem
๐ How the healthcare industry can win big with AI
๐ฒ "AI is for others. AI is bad for society. I let others deal with it."
๐ฏ How to instill AI integrity [part 4/5]
๐ฎ 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
๐จโHow do you select the perfect AI model for your business?
๐จ Weekly digest: 2 2024 | AI is here: we have to realign our resources
๐ How banks are using generative AI
๐ฒ "328.77 million terabytes of data are created each day."
๐ฏ Operationalize trustworthy AI Governance [part 3/5]
๐ฎ Maildrop 09.01.24: How can you keep your Data Governance knowledge updated?
Workbook: Building a sustainable data-driven organization, part 2
๐จโHow do you use data to your advantage?
๐จ Weekly digest: 1 2024 | AI and our search for meaning
๐ฏ Principles for trustworthy AI systems [part 2/5]
๐ฎ Maildrop 02.01.24: AI, how it started, how it goes
Workbook: Building a sustainable data-driven organization, part 1