EP 326: How Data Will Be AI’s Bottleneck

Win a free year of ChatGPT or other prizes! Find out out.Yeah, AI is cool. But have you tried AI WITH good data?! If you're running into AI implementation bottlenecks, it could be your data to blame. Matthijs de Vries, Founder & CEO of Nuklai, joins us to tackle AI and data.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Matthijs questions on AI and dataRelated Episodes: Ep 268: AI’s Data-Driven Decision ParadoxEp 145: NVIDIA Leader Talks GenAI + Data: Unlocking new ways to interact with our worldUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:1. Data and Large Language Models (LLMs)2. Practical Data Strategies3. Data Quality IssuesTimestamps:01:35 Daily AI news05:00 About Matthijs and Nuklai06:48 Data bottleneck hinders implementation of generative AI.10:26 Start with a goal, leverage data effectively.13:20 Collaborating on data is costly, causing limitations.15:46 Standardize data access to improve overall efficiency.18:46 Discussion on the use of synthetic data.23:13 Challenges for small AI projects due to funding.27:33 Crowdsourcing data important for future developments.28:38 Data used to improve bread quality. Multiple purposes.Keywords:Everyday AI, Jordan Wilson, generative AI, data bottleneck, OpenAI, GPT 4, SAM 2, video segmentation, Meta, AI Studio, chatbot creation, llama 3.1 model, Matt deFries, Nuclei, structured data, unstructured data, Large Language Models (LLMs), AI implementation, data in silos, data consortiums, data pipelines, data collection, memory efficiency, synthetic data, crowdsourcing data, data quality, human-generated data, collaboration, data science, philosophy in data.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)