• Unpacking the Database-AI Connection: Why It Matters

  • Feb 4 2025
  • Duración: 16 m
  • Podcast

Unpacking the Database-AI Connection: Why It Matters

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  • In this episode host Lorna Juma speaks with Dr. Lawrence Nderu on Unpacking the Database-AI Connection and Why It Matters. If you’re an educator, student, or tech enthusiast curious about the backbone of artificial intelligence systems, this episode is your gateway to understanding the vital role of databases in artificial intelligence and machine learning. ----------------------------------------------------------- Episode Transcript: 00;00;09;02 - 00;00;35;04 Welcome to the Oracle Academy Tech Chat. This podcast provides educators and students in-depth discussions with thought leaders around computer science, cloud technologies, and software design to help students on their journey to becoming industry ready technology leaders of the future. Let's get started. Welcome to the Oracle Academy Tech Chat, where we discuss how Oracle Academy prepares the next generation's Laplace. 00;00;35;06 - 00;01;08;10 I'm your host, Lorna Juma. In this episode, I am joined by Doctor Laurence Darrow, a lecturer and research fellow in the Department of Computing at Jomo Kenyatta University of Agriculture and Technology. Today, we're uncovering how databases, power artificial intelligence and machine learning, two of the most transformative forces in the tech world. If you're an educator, student, and tech enthusiast curious about the backbone of AI systems, this episode is your gateway to understanding the vital role of databases in AI and machine learning. 00;01;08;12 - 00;01;35;11 To start off, Doctor Lawrence, thank you so much for joining us. Can you give me a bit about your background and the classes you teach? Yeah. Thank you so much for having me. I really think that this is a very important conversation and happy and, to work with you guys to promote the use of these solutions and these technologies for the purpose of making sure that, we have a generation that is well informed and ready for work. 00;01;35;13 - 00;02;06;07 So to start with, I am a lecturer and also the chairman, Department of Computing at the Jomo Kenyatta University of Agriculture and Technology. I'm also the founder of Jacob Moffett, which is a digital innovation hub that is based at the University of Jomo Kenyatta in Gloucester. Work and culture. In technology. I currently I do teach units that relates to AI and machine learning and also applied machine learning. 00;02;06;10 - 00;02;34;01 I also do supervise the students at the level of BHB and Masters. While working on areas of AI and machine learning. And those are the areas that that that the working on. I also read research teams that are working on innovations and I Jacob, in terms of building solutions that are using AI as the basis for, solving some problems and also others that are using AI to improve the operations. 00;02;34;03 - 00;03;00;17 Thank you, doctor Larry Entwistle. Glad to have you join us as an expert to discuss this important topic. Now, could you break down the fundamental relationship between databases and AI? Why are robust databases critical for building effective AI models? Thank you. So the first thing is that the data is the food for AI. And we have had the same being said every now and then. 00;03;00;17 - 00;03;29;18 That data is the new oil. And I think that also means that we need these data to be data that is accessible in a way that is use that work. I mean, and efficient manner. So, it means that AI is being powered by data and whether this data is structured data or unstructured data. We need data to be know about is accessible and also accessible in an efficient manner. 00;03;29;20 - 00;04;01;18 So the connection really is the fact that traditionally when we dealt with the data, we were looking at it like say more or less data that was relational based databases. Now we know that data is found in many other formats. We have data, of course, in structured. We have data in semi-structured. We have data in unstructured formats. All these data needs to be stored in ways that it can be consumed, be consumed by AI, systems. 00;04;01;21 - 00;04;28;27 And that's where now the connection comes. Because the better the data, the better you are able to create models in the AI that are effective. And they are also able to answer very many questions that that one would want. So to answer that question is that the connection is clear, that we need, data to power AI systems, and we need systems that can be able to store these data in a way that that, that I can consume it in a better way. 00;04;28;27 - 00;04;54;06 And we have the pipeline. We need that pipeline that provides data and then feeds into the, AI models or AI systems so that they can be able to make decisions and improve our ability. And now, as an educator and researcher, how do you recommend teachers and institutions incorporate database hands on teaching into their AI and machine learning curricula? 00;04;54;09 - 00;05;25;13 What approaches or tools have you found most effective for engaging ...
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