Episodios

  • The Transformative Power of Low Code Development
    Nov 25 2025

    In this Episode Orlaith Lawton speaks with Oracle ACE Roberto Capancioni about the importance of APEX and why it is the world's most popular low-code application platform.

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    24 m
  • APEX in the real world
    Nov 18 2025
    In this Episode Tyra Peirce speaks with speaks with Oracle ACE Satwik Reddy about how businesses leverage Oracle APEX to build powerful applications without the need for extensive coding. ------------------------------------------ Episode Transcript: 00:00:00:00 - 00:00:35:04 Unknown 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 Oracle Academy Tech Chat, where we discuss how Oracle Academy prepares the next generation's workforce. 00:00:35:05 - 00:01:11:14 Unknown I'm your host, Tyra Peirce. In this episode, we dive into the transformative power of low code software development and explore how it's reshaping industries, streamlining workflows, and enabling faster innovation. Our guest, Oracle ace Satwik Reddy, shares his expertise on how businesses leverage Oracle Apex to build powerful applications without the need for extensive coding. Welcome Chadwick or Hyder. To start off, can you give me a bit about your background and your current job role? 00:01:11:16 - 00:01:40:09 Unknown Hey there. Developer tech enthusiast standing around an accidental quarter turn full time epics. Advocate. I have been working with Oracle Apex for over 13 years now. Here, like it's more than a decade deep in the loop code. It all began, back in my grad school. Like, me and my couple of friends, like, we are doing a hackathon and we were dabbling in different programing languages, trying to build a website. 00:01:40:11 - 00:02:11:02 Unknown And that's when, we stumbled across Oracle Apex. And honestly, it just clicked and we loved it. Since then, apex has been my jam and butter. Like, let's say right now I work as an apex technical lead. That means I do a lot of hats, like gathering requirements from stakeholders, designing scalable applications like a team of developers like, and make sure that when built, actually solves the real world problems. 00:02:11:04 - 00:02:37:17 Unknown And think of me as an orchestra conductor, like making sure every piece of the development puzzle fits licensing and hits the right notes in terms of performance, scalability, and reliability. And I also handle the production support and mentor the junior dev developers. Docker reviews write production design documents, and make sure every project stays aligned with the big picture goals of the organization. 00:02:37:17 - 00:03:07:19 Unknown So yeah, like yeah, a lot of moving parts, but with epics things move fast, faster, smoother than we would think. I love that you're so involved in the apex development from the beginning to the end. You're mentoring the junior staff and new apex developers, so you are quite the apex expert. So for my next question, what is low code application and what is low code application development and why should students learn it? 00:03:07:21 - 00:03:39:04 Unknown Great question. Let's start with low code and why it's not just a buzzword but a game changer, especially for students. In the morning the of building software. Right. Like low code. Development doesn't really, rely heavily on manual coding. Instead of writing thousands of lines of code, you visualize tools and like drag and drop interfaces, templates, reusable components, which can help you build apps quickly and efficiently. 00:03:39:06 - 00:04:01:00 Unknown And think of it like this. Like, instead of starting from scratch, low code gives you a toolbox full of ready made pads. You just snap them together, kind of like digital Lego and build what you need. And now, like here, here's where it gets even cooler. A lot of these platforms like Oracle Apex are adding more AI powered features. 00:04:01:02 - 00:04:39:23 Unknown That means you can build apps that analyze data and make predictions, create smart forms that adjust in real time to what the user types are. Even automate workflows like using AI driven decision making. So what used to take weeks or months to code? You can just create in days? Sometimes maybe has help now, like why students? Why should students care like live in break down this and like local development right is in high demand across industries making it a valuable skill that boosts employability for people from all backgrounds. 00:04:40:01 - 00:05:10:11 Unknown Like, you don't need to be a computer science major like any business students or educators, even art students, anyone who can learn low code and use it to solve real world problems. And it also helps in quick prototyping because let's say you want an idea for an app, you can go from concept to working name in a way you can already, or even an idea that's huge for class projects like hackathons or even the startup pitches. 00:05:10:13 - 00:05:43:06 Unknown Or if you're building any, demo or doing something. And ...
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    18 m
  • Demystifying Tech Roles: Account Cloud Engineer
    Nov 4 2025
    Unlocking the Role of an Account Cloud Engineer at Oracle What does it take to bridge technical expertise with real-world customer impact? In this episode, we dive deep into the role of the Account Cloud Engineer (ACE) at Oracle—a unique position that sits at the intersection of technology and customer engagement. Often misunderstood as solely technical, ACEs play a vital role in presales, partnering with sales teams to guide customers through Oracle Cloud Infrastructure (OCI) solutions. From shaping architectural designs to providing ongoing support, ACEs are key to delivering value-driven cloud transformations. Listeners will discover: How ACEs collaborate with sales to co-design custom cloud solutions for clients The importance of soft skills—like communication, collaboration, and curiosity—alongside technical acumen What a typical day looks like for an ACE, including demos, workshops, customer calls, and problem-solving How cloud certifications, mini-courses, and real-world experience can jump-start your cloud career Why asking the right questions helps uncover and solve customers' real challenges We also spotlight the Generation Oracle (GenO) program—a global initiative dedicated to launching tech careers for people from all backgrounds. Whether you're a student, educator, or career switcher, GenO offers structured training and direct pathways into dynamic roles such as ACE, sales, consulting, and more. Ready to jumpstart your cloud journey? Explore Oracle Academy's free cloud curriculum and certifications, and check out Academy Bytes for bite-sized learning. Whether you're pursuing a career in cloud or curious about the world of presales, this episode is the perfect place to begin. Resources Mentioned: Oracle Academy : Free cloud curriculum and resources for educators and students Oracle University : Training and certification Generation Oracle Careers : Entry paths into Oracle -------------------------------------------- Episode Transcript:
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    19 m
  • AI and Security
    Oct 14 2025

    In this episode host Oracle Academy Program Manager Benelux & DACH Rik Bleeker speaks with Oracle expert Thomas Minne on the crucial intersection of Artificial Intelligence and data security, explaining why the Oracle Database is foundational to both. Drawing on his 15 years as a DBA and current role in Oracle's EMEA CTO office, Thomas shares practical strategies for implementing AI responsibly without compromising sensitive information. Listeners will learn how features like Real Application Security and Label Security safeguard data, why AI vectors require the same protection as raw data, and hear real-world stories from industries like finance and healthcare. Thomas also discusses how AI can both enhance and threaten security, and offers career advice to students keen on mastering IT fundamentals and safely experimenting with Oracle LiveLabs. Whether you're a student, educator, or just curious about AI security, this episode is packed with insights to help you innovate confidently and securely.

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    20 m
  • AI for Data: When Data meets Intelligence
    Oct 7 2025
    AI is driving a remarkable transformation throughout the industry, delivering unprecedented productivity gains and enabling rapid insights from vast amounts of data. In this two-episode season premiere, Tirthankar Lahiri, SVP of Mission-Critical Data and AI Engines, discusses how Oracle AI Vector and embedded machine learning search are harnessing the power of AI to unlock value from enterprise data, and allow developers to build sophisticated RAG and Agentic frameworks that leverage the full power of the converged database architecture of Oracle Database — including its class-leading scalability, fault-tolerance, and enterprise-grade security. Furthermore, Oracle database provides several mechanisms to make data "AI-ready" by enabling declarative data intent for AI. In this session, we will describe these techniques, and more, to explain how to truly build an AI for data solution in this rapidly changing AI landscape! ------------------------------------ Episode Transcript: 00:00:00:00 - 00:00:34:07 Unknown 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 Oracle Academy Tech Chat, where we discuss how Oracle Academy prepares the next generation's workforce. 00:00:34:09 - 00:01:03:23 Unknown I'm your host, Tara Pierce. This is the first of two episodes on AI for data when data meets intelligence. Our guest speaker is to thank Carly Harris, senior vice president for mission critical data and AI engines at Oracle. Here's responsible for the data engine for Oracle database, including areas like AI, vector search, indexing and data compression. He also manages the Oracle Times ten in memory and the Oracle NoSQL database product teams to thank her. 00:01:03:23 - 00:01:33:13 Unknown Has 30 years of experience in the database industry and has worked on a variety of areas such as performance, scalability, manageability, caching, in-memory architectures and developer focused functionality. He has 71 issued and several pending patents. A bachelor's in computer Science from the Indian Institute of Technology and a master's in electrical engineering from Stanford University. In the first episode to thank our talks about how data makes AI intelligent and how enterprises are using AI to get greater value from their data. 00:01:33:15 - 00:01:59:19 Unknown Over to you to thank her. Hi. Hey, guys. Thank you very much for joining. It's a great pleasure to be presenting AI for data. This is an exciting time in technology. AI is ubiquitous. AI changes everything. And I actually makes data intelligent. Let's talk about that today. So you know Oracle is working on AI. As many of you know, at many levels in the enterprise stack. 00:01:59:21 - 00:02:31:22 Unknown We have AI initiatives for applications, AI initiatives for services. I for data. And we're building a lot of AI infrastructure, as you seen from the news. Now I'm going to focus on AI for data. That's the focus of my presentation today. How we bring AI, the power of AI and unleash it on enterprise data. So Oracle's goal is to make AI for data extremely simple for basically everything. 00:02:32:00 - 00:02:54:08 Unknown So no matter what kind of end user you are, whether you're an expert, an AI, or a developer, or a DBA random list, every single persona should be able to leverage AI for data. We want to make it possible for all applications to leverage AI for data and benefit all workloads with the AI for data. So this is the goal that we have for AI for data. 00:02:54:08 - 00:03:25:05 Unknown Now, there's again basically two classic kinds of AI in the classical sense. So let's quickly talk about one before I get to what's new. So the traditional AI, was basically called algorithmic AI. Algorithmic here is based on machine learning models, typically non neural net designed to do predictions classifications, forecasting etc. and for data science people, you know that there's many different machine learning algorithms. 00:03:25:07 - 00:03:44:06 Unknown And these are all now available in Oracle database. So if you want you can use one of these models. This is the ever evolving list. You can use one of these models to load to first of all to train, you know, a sorry, you could use one of these algorithms. Excuse me. I keep that in the trunk. 00:03:44:08 - 00:04:05:22 Unknown These are algorithms. You can use one of these to train models and then to run inferencing using these models. So you imagine you can take, you know, linear linear regression. The algorithm used that to train a model and then applied that to data in real time to basically do predictions. So that's what in database machine learning lets you do. 00:04:06:00 - 00:04:30:18 Unknown And we've had this, capability for a while now. So what ...
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    30 m
  • Part II of AI for Data: When Data meets Intelligence
    Oct 7 2025

    AI is driving a remarkable transformation throughout the industry, delivering unprecedented productivity gains and enabling rapid insights from vast amounts of data.

    In the second of a two-episode season premiere, Tirthankar Lahiri, SVP of Mission-Critical Data and AI Engines, discusses how Oracle AI Vector and embedded machine learning search are harnessing the power of AI to unlock value from enterprise data.

    AI is triggering an incredible transformation across the industry, enabling breakthrough improvements in productivity and rapid insights across massive volumes of data. However, in order to fully harness the power of AI, it is necessary to enable AI processing where the data resides. Oracle AI vector and built-in-machine learning search bring the power of AI to enterprise data, and allow developers to build sophisticated RAG and Agentic frameworks that leverage the full power of the converged database architecture of Oracle Database — including its class-leading scalability, fault-tolerance, and enterprise-grade security. Furthermore, Oracle database provides several mechanisms to make data "AI-ready" by enabling declarative data intent for AI. In this session, we will describe these techniques, and more, to explain how to truly build an AI for data solution in this rapidly changing AI landscape!

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    23 m
  • Multi-tenancy in Cloud Computing
    Apr 29 2025
    In this episode host Tyra Peirce chats with Rolando Carrasco, an Oracle ACE Director based in Latin America. Rolando and Tyra speak about Multi-tenant cloud. What it is, what it isn't, and when it should be used. --------------------------------------------------------------- Episode Transcript: 00:00:00:00 - 00:00:34:01 Unknown Welcome to the Oracle Academy Tech Chat. This podcast provides educators and students with 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 Oracle Academy Tech Chat, where we discuss how Oracle Academy prepares the next generation's workforce. 00:00:34:03 - 00:01:02:16 Unknown I'm your host, Tyra Peirce. Today I'm joined by our Rolando Carrasco. Rolando is an Oracle Ace director based in Latin America. He has been in the IT industry for the past 25 years, working for companies such as Hewlett-Packard and Oracle. Then in 2010, he started his own consulting firm where he is currently the CTO. His work has been focused on distributed systems, working with several integration platforms, API management tools and the cloud. 00:01:02:18 - 00:01:29:06 Unknown He is a constant speaker at both local and global development conferences. Welcome, Rolando. Oh thank you Tyra. So to start off, can you give me a bit about your background and your current job role? Yes. Thank you Tyra. Now I'm currently the CTO for a Mexican consulting firm here in Mexico. The name is CES, and I've had this role for the past 15 to 16 years now. 00:01:29:08 - 00:02:07:13 Unknown And as you already mentioned, my experience is focused on distributed systems. And probably, I will say, the evolution of those type of needs in terms of integration in the cloud now. And I will say that I have a mixed profile in terms of, development, if you will, and also experience on sales and pre-sales and architecture, or so I will say that I have that type of hybrid more a rosary and my experience is being focused mostly and in the Latin American region, from Mexico to Brazil. 00:02:07:15 - 00:02:32:21 Unknown Today our focus is on, multi-tenancy and cloud computing. Can you tell me what a multi-tenancy is and cloud computing and how does it differ from single tenancy? I can say that multi-tenancy is the ability to have different organizations working separately, and that's the key. But we'll be using the same infrastructure okay. Even though they share this infrastructure. 00:02:32:23 - 00:02:57:07 Unknown The main thing, as I said, we already mentioned is that those different organizations are isolated. They can see each other, they can see their data. And I can say that normally service providers work in this fashion. They offer their services to several gateway stations or customers. And from the infrastructure standpoint, they share the infrastructure now along all those organizations. 00:02:57:09 - 00:03:25:08 Unknown And the difference, the difference between multi-tenancy and the single tenancy is that which single tenant, every organization use its own infrastructure. I mean, there is nothing to share between them or among them, but you need to deliver on a specific infrastructure for every single organization. So which follows on to my next question. Can you share a real world example of multi-tenant cloud implementations? 00:03:25:10 - 00:04:03:19 Unknown Yes, absolutely. I will say that the software as a service market and the software as a service, providers and application owns most of them. And I can say that both big companies such as Oracle and small companies or even startups, they use these type of model offering these, those type of services. For example, an email application and the one that we normally use, Outlook or Gmail or any of that type of email application is a clear example of then we all have an account. 00:04:03:21 - 00:04:26:22 Unknown The infrastructure is the same. We don't care as a user, we just use the service as its own, as it's been, offered to, to us. So, the users are not aware of that. And I will say that probably the users are not even interested in if it is a multi-tenancy or not, but all I what I was trying to I was trying sorry to explain. 00:04:27:00 - 00:04:51:19 Unknown Is that mostly those type of SaaS applications use this model. For example, maybe you or the audience are aware of applications such as Monday.com or Bitly. The shortener, URL application, or any other type of application that you normally use that you just use and you just subscribe to it. It is so very clear example of behind the scenes is working in a multi-tenancy fashion. 00:04:51:21 - 00:05:15:22 Unknown That actually makes sense. The Bitly one makes sense to me because I've used it before. And same with like my email. My email. ...
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    15 m
  • What is a Data Center?
    Apr 18 2025
    In this episode host Tyra Peirce speaks with Oracle development data center manager Ryan Lucas. Ryan tells Tyra about the key components of a data center, and what it takes to run a data center. --------------------------------------------------------------- Episode Transcript: 00:00:00:00 - 00:00:34:09 Unknown 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 Oracle Academy Tech Chat, where we discuss how Oracle Academy helps our next generation's workforce. 00:00:34:11 - 00:00:58:17 Unknown I'm your host, Tara Crockett Pierce. In this episode, I speak with Oracle Data Center manager Ryan Lucas. Ryan breaks down the basics of data centers what they are, how they work, and why they're essential for empowering your favorite streaming services to securing business critical data. So far to securing business critical data. Data centers are the unseen force behind modern technology. 00:00:58:17 - 00:01:27:03 Unknown Welcome, Ryan. Thank you. Thanks for having me. So go ahead and start off. Ryan, can you give me a little bit about your background and your role at Oracle? Yeah. So I first started working as a system administrator, for the Java group at Sun Microsystems back in 2002. My responsibilities included deploying and maintainingsystems, like Solaris, Linux, and even windows servers. 00:01:27:05 - 00:02:03:20 Unknown And I would also troubleshoot network, software and hardware issues. Eventually my responsibilities included backing up important files like source code for the Java Development Kit or otherwise known as JDK. I've been at Oracle for 16 years. Yeah. So in my current role, I help manage labs that, are essentially on-premise data centers. They may not be as large as something you would see like an on OCI site. 00:02:03:22 - 00:02:33:11 Unknown But the labs that I support, they when you're inside them, they look like data centers. And we, they basically are used to to test Oracle engineered systems. So my group we help provide local support for the engineers of Oracle Engineered Systems. We have systems that have been released to the public. And we have systems that have not been released to the public. 00:02:33:13 - 00:03:01:03 Unknown And so what we are responsible for, you know, deploying, maintaining, keeping these servers running and helping create testing environments so that engineers can make sure that the engineered, that their hardware works as advertised. And then, sometimes even after hardware has been released, if a customer has some kind of concern, we may have to recreate their environment in our lab. 00:03:01:09 - 00:03:21:06 Unknown Well, I call it lab, but it's a data center. And that way, we can try to discover if the customer's having a lot of times the customers having an issue because it's a customer error. So, you know, maybe the customer is trying to use our hardware in ways that we hadn't, you know, thought about or wasn't really designed for. 00:03:21:08 - 00:03:47:03 Unknown But, yeah, eventually there will be some issues that we have to work through. And, and so it's it's very dynamic. So a typically like a, like an OCI production data center, you know, that is very structured. You know, all the cables are pristine a specific length. You know they push they push a new rack of servers into a gridlock station. 00:03:47:05 - 00:04:11:16 Unknown It's there for the life of the of the rack. You may they have a field engineer come in and service some hardware, but then after it's decommissioned, they roll it out and they put in a new server. But in my in my group, we are constantly moving things around to recreate environments. It's very dynamic, very different. But it also makes it the challenge makes it very fun as well. 00:04:11:18 - 00:04:45:09 Unknown So Ryan, kind of with that really cool introduction and background, what is a data center and what are its core components? Gotcha. Okay. So I'm going to read a formalized explanation. Just so I don't ramble off or get too technical. And then I'm going to talk about some things in my own words. So a data center is a physical facility to house a group of networked computers, servers for the remote storage, processing and distribution of data. 00:04:45:11 - 00:05:07:23 Unknown A data center provides security, physical space, power, and cooling for racks of servers and network equipment. Those are the core components. But let me let me just I think I was trying to imagine what it would be like for someone who's never been in a data center to try to grasp the ...
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    20 m