In this month’s episode of In Case You Missed It, Jon Krohn talks to guests about memory and education, and how artificial intelligence is continuing to help lower the barriers to access. Hear from Matt Glickman, Traci Walker-Griffith, Richmond Alake, and Linda Haviv, discussing the foundations of AI agent memory, how engineers can develop at scale, and why they believe AI could be your child’s perfect tutor in the classroom.
Additional materials: www.superdatascience.com/988
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
Oracle’s Director of AI Developer Experience Richmond Alake returns to the show to talk to Jon Krohn about agent memory; the network of systems, models, databases and LLMs that enable AI agents to learn and adapt over time. Listen to the episode to hear about Richmond’s “100 Days of Agent Memory” initiative, retrieval-augmented generation’s (RAG) limitations with AI agents, the layers of the AI agent stack, and what makes the Oracle AI database so useful to developers.
Additional materials: www.superdatascience.com/985
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
In this episode you will learn:
(03:15) What agent memory is and why it’s important
(28:28) RAG’s limitations for AI agents
(35:19) What matters in the AI agent stack beyond memory
(41:34) Why memory was undervalued in the AI agent stack
Connect with Georges on LinkedIn and see his work on inside.java.
Listen to our previous episode with Georges, a celebration of Java’s 25th anniversary.
Today we’re shouting out the age-old question What is a NullPointerException, and how do I fix it?, which was answered 31 times as a community effort.
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Agentic AI, AI success strategies, and why flexibility will be so important to keep up with the AI market: Jon Krohn talks to Richmond Alake about the NoSQL database MongoDB, including why it’s a great addition to your toolkit for developing (agentic) AI applications, with a look under the hood at its native vector database. Richmond also talks about why he expects multi-agent AI architectures to go mainstream in 2025.
Additional materials: www.superdatascience.com/871
This episode is brought to you by the Dell AI Factory with NVIDIA and by ODSC, the Open Data Science Conference.
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
In this episode you will learn:
(04:10) How Richmond became a Staff Developer Advocate
(07:40) How NoSQL database differs from a relational database
(16:50) The advantages of working with the cloud-based MongoDB Atlas
(32:26) Richmond’s predictions for agentic AI
(40:38) How to create an effective AI strategy
On this Screaming in the Cloud Replay, Corey is joined by Nipun Agarwal, Senior Vice President of MySQL HeatWave Development at Oracle, to discuss the release of MySQL HeatWave and how it will benefit users among the sea of database offerings on AWS. Nipun reveals why Oracle decided to develop HeatWave, how HeatWave is providing meaningful cost savings to users, and how HeatWave has been optimized for the cloud. Nipun explains how they’ve lowered the barriers to entry for new users of HeatWave, and Oracle’s focus on implementing customer feedback when developing new offerings.
Show Highlights
(0:00) Intro
(0:55) The Duckbill Group sponsor read
(1:28) The significance of HeatWave coming to AWS
(2:20) What is MySQL HeatWave?
(5:13) What jumped out to Corey during his conversations with Nipun on Oracle
(8:40) What’s “under the hood” of MySQL HeatWave
(14:12) How Oracle built out its pricing for MySQL HeatWave
(16:41) Why MySQL HeatWave doesn’t show up on AWS bills
(21:27) The Duckbill Group sponsor read
(22:09) Oracle’s historical customer base and the company’s credit system
(24:30) The point behind MySQL HeatWave
(27:51) How MySQL HeatWave runs
(33:53) Where you can find more from Nipun and Oracle
About Nipun Agarwal
Nipun Agarwal is a Senior Vice President, MySQL HeatWave and Advanced Development, Oracle. His interests include distributed data processing, machine learning, cloud technologies and security. Nipun was part of the Oracle Database team where he introduced a number of new features. He has been awarded over 170 patents., Nipun Agarwal is Senior Vice President of MySQL Database & HeatWave Development. He leads a global engineering organization responsible for Oracle’s MySQL innovations that enable organizations to use a single database for both transactional and analytical workloads. His interests include data processing, distributed systems, machine learning, cloud computing and security. Prior to his current position, Nipun was with Oracle Labs and the Oracle Database team, where he introduced a number of new features. He has been awarded over 175 patents.
Links
Oracle: https://oracle.com
MySQL HeatWave info: https://www.oracle.com/mysql/
MySQL Service on AWS and OCI login (Oracle account required): https://cloud.mysql.com
Original Episode
https://www.lastweekinaws.com/podcast/screaming-in-the-cloud/heatwave-and-the-latest-evolution-of-mysql-with-nipun-agarwal/
Sponsor
The Duckbill Group: duckbillgroup.com
Pradeep talks about building at global scale and preparing for inevitable system failures. He talks about extra layers of security, including viewing your own VMs as untrustworthy. And he lays out where he thinks the world of cloud computing is headed as GenAI becomes a bigger piece of many company’s tech stack.
You can find Pradeep on LinkedIn. He also writes a blog and hosts a podcast over at Oracle First Principles.
Congrats to Stack Overflow user shantanu, who earned a Great Question badge for asking:
Which shell I am using in mac?
Over 100,000 people have benefited from your curiosity.
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Valkey, a Redis fork supported by the Linux Foundation, challenges Redis' new license. In this episode, Madelyn Olson, a lead contributor to the Valkey project and former Redis core contributor, along with Ping Xie, Staff Software Engineer at Google and Dmitry Polyakovsky, Consulting Member of Technical Staff at Oracle highlights concerns about the shift to a more restrictive license at Open Source Summit 2024 in Seattle.
Despite Redis' free license for end users, many contributors may not support it. Valkey, with significant industry backing, prioritizes continuity and a smooth transition for Redis users. AWS, along with Google and Oracle maintainers, emphasizes the importance of open, permissive licenses for large tech companies. Valkey plans incremental updates and module development in Rust to enhance functionality and attract more engineers. The focus remains on compatibility, continuity, and consolidating client behaviors for a robust ecosystem.
Learn more from The New Stack about the Valkey Project and changes to Open Source licensing
Linux Foundation Backs 'Valkey' Open Source Fork of Redis
Redis Pulls Back on Open Source Licensing, Citing Stingy Cloud Services
HashiCorp's Licensing Change is only the Latest Challenge to Open Source
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Ricardo Gonzalez, Senior Principal Product Manager at Oracle, joins Corey on Screaming in the Cloud to discuss his approach to Product Management and cloud migration. Ricardo explains how a chance conversation landed him a role at Oracle, and why he feels it’s so important to always bring your A-game in any conversation. Corey and Ricardo discuss why being a good Product Manager involves empathy for your customers and being able to speak their language as well as the language of your product and development team. Ricardo also explains how he’s seen the Oracle product suite grow, and why he feels more and more companies are seeing the value of migrating their data to the cloud.
About Ricardo
Ricardo is a Product Manager at Oracle, in charge of Database Migration to the Cloud, and the ZDM and ACFS products.
Ricardo is a native Costa Rican and has lived in Mexico, Italy and currently resides in the United States.
He is passionate about technology, education, photography, music and cooking. He loves languages and connecting with people from all over the world. In a future life, Ricardo wants to own a taco truck, and share taco happiness with everybody.
Links Referenced:
Oracle: https://www.oracle.com/
LinkedIn: https://www.linkedin.com/in/ricardogonzaleza/
Twitter: https://twitter.com/productmanaged
Richmond Alake, a Machine Learning Architect at Slalom Build, sits down with Jon to share real-time ML insights, tools and career experiences for a high-energy and high impact episode. From his work at Slalom Build to his two AI startups, discover the software choices, ML tools, and front-end development techniques used by a leader in the field.
This episode is brought to you by Posit, the open-source data science company, by AWS Inferentia, and by WithFeeling.ai, the company bringing humanity into AI. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:
• What is a Machine Learning Architect? [03:09]
• Richmond's startups [12:07]
• Why Richmond started a podcast [29:51]
• Richmond's new course on feature stores [38:05]
• Why Richmond produces data science content [43:25]
• Why All Data Scientists Should Write [51:30]
Additional materials: www.superdatascience.com/685
About Nipun
Nipun Agarwal is a Senior Vice President, MySQL HeatWave Development, Oracle. His interests include distributed data processing, machine learning, cloud technologies and security. Nipun was part of the Oracle Database team where he introduced a number of new features. He has been awarded over 170 patents.
Links Referenced:
Oracle: https://oracle.com
MySQL HeatWave info: https://www.oracle.com/mysql/
MySQL Service on AWS and OCI login (Oracle account required): https://cloud.mysql.com
About Nipun
Nipun Agarwal is a Senior Vice President, MySQL HeatWave and Advanced Development, Oracle. His interests include distributed data processing, machine learning, cloud technologies and security. Nipun was part of the Oracle Database team where he introduced a number of new features. He has been awarded over 170 patents.
Links:
Oracle: https://www.oracle.com
About Nipun
Nipun Agarwal is Vice President, MySQL HeatWave and Advanced Development, Oracle. His interests include distributed data processing, machine learning, cloud technologies and security. Nipun was part of the Oracle Database team where he introduced a number of new features. He has been awarded over 170 patents.
Links:
HeatWave: https://oracle.com/heatwave
John Peach joins to discuss his passion for bringing more scientific approaches to the data science field, making it smarter and more efficient.
In this episode you will learn:
John’s move from Canada to the US [3:37]
John’s new position at Oracle [8:31]
Data Science Workflows [9:34]
John’s solution to data science workflow exploration [12:06]
John’s data science design thinking framework [21:20]
Case study [34:21]
Literate statistical programming [43:12]
R or Python? [51:55]
Data unit testing [53:28]
What drives John? [1:00:56]
Additional materials: www.superdatascience.com/393
For this episode we spoke again with Georges Saab, Vice President of Software Development at the Java Platform Group and Manish Gupta, Vice President of Global Marketing for Java and GraalVM.
The very first feature that made a massive impact wasn’t a change in the Java language at all. It was the vastly improved library support that happened in the early releases. Between 1.0 and 1.3, these libraries included the Swing window toolkit, the Collections framework, a RPC-like API for remote calls, JDBC for interacting with databases, and more. The standard libraries grew richer, more sophisticated, and allowed Java to become a real enterprise language.
In 2004, Java added generics, which allowed types, methods, and interfaces to be specified with the associated data types to be specified when that item was instantiated without sacrificing type safety. “At the time, generics were a challenge and people had strong opinions about them,” said Saab. Today, generics are one of the enduring features of the language.
Java may have been designed as a completely object oriented language, but when Java SE 8 was released in 2014, it added Lamda expressions (aka closures), which added some functional programming elements. Not every problem is best served by OOP, and by adding Lambdas, Java became more flexible.
Despite its prominence across numerous industries, Java isn’t sitting still. Saab mentioned four big projects coming to Java that had him excited, all designated by codenames: Loom, Valhalla, Leyden, and ZGC. You can read all about them on our blog.
If you want to learn more, Oracle has put together a wealth of resources to celebrate Java's 25th anniversary.
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
For this episode we chatted with Georges Saab, Vice President of Software Development at the Java Platform Group and Manish Gupta, Vice President of Global Marketing for Java and GraalVM.
In the beginning, the nascent Java language project, codenamed Project Green and later Oak, was designed to create interactive televisions. Think of the kind of overlays and interactivity that you see with most flat screen TVs today. Back in 1995, this was brand new territory. There was no hardware or operating system standard for a computing platform within a TV, so the team had to figure out how to create a programming language that could run on virtually anything. Code it once and run it everywhere through a virtual machine.
Interactive TV was ahead of its time in the early 90s, but Java found a strong foothold for its cross-platform ideas in web applets and WebStart programs that downloaded and ran an application entirely from a web address. This evolved over time, and today it provides a lot of the processing muscle for server-side web apps and cloud-based SaaS applications. Here at Stack Overflow, the Java tag has remained one of the most popular over the years, with 1.7 million total questions on the site.
When Sun announced Java in 1995, they did so with Marc Andreessen—then cofounder and “rockstar” at Netscape—on stage with them. Andreessen had agreed to integrate Java into the Navigator browser, a major coup for a brand new language. At the time, Navigator was the clear leader in the browser market, taking over 75% of the share. Even before this announcement at the SunWorld conference, the volume of downloads of the language became so great that it overwhelmed the T1 line attached to the java.sun.com web server.
Today's episode covers the past and present of Java. Tomorrow, we'll air episode two, which takes us from the present and looks towards the future. If you want to learn more, Oracle has put together a wealth of resources to celebrate Java's 25th anniversary.
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Greg Pavlik joins me for a great talk about the current state of the cloud and how single practitioners and small businesses can take advantage of cloud services.
In this episode you will learn:
Will we have cloud-based solutions for VR and working from home? [8:15]
Greg’s career journey [11:50]
From Hadoop to Cloud [23:35]
The cloud element in data science [30:17]
Data science and AI in Oracle [33:00]
Is Oracle more suited for larger companies only? [37:35]
Fundamental differences between Oracle Cloud, Amazon, and Azure [42:12]
Trends in data science and data management [45:14]
Why should someone choose Oracle over any other open source? [52:50]
How does the future of data management look like? [56:00]
5G and edge computing [1:01:36]
Greg’s recommendation to data scientists [1:04:28]
Additional materials: www.superdatascience.com/375
Des Cahill is the Chief Marketing Officer for Oracle CX Cloud Suite, an integrated set of marketing, sales, commerce and service solutions that power customer experience for thousands of leading global brands. Prior to Oracle, Des was the CMO @ Kerio Technologies marketing to over 60,000 SMB customers and 5,000 channel partners. Before Kerio, Des was the CMO @ Ensighten, where he helped grow the customer base from 10 to 100 and revenues from $2M to $14M. Des has also spent time as CEO having founded and grown Habeas Inc from 0 to 450 customers, $9M in revenue and raising 3 rounds of venture financing.
In Today's Episode We Discuss:
How Des made his way into the world of startups and came to be CMO of Oracle's CX Cloud suite?
Why does Des believe customers are more unpredictable now than ever before? How is their behaviour fundamentally changing? What are some great examples of how Des has seen companies amend to the changing consumer demands?
How does this change the role of the marketer today? How does this change the prioritisation of customer experience for marketers? What are the challenging elements of this change? How does the role of marketing also integrate with the post-sale and customer success with much of their content being used there?
How does Des think about the relationship between marketing and sales teams? What are Des' biggest tips on how to reduce friction in the handoff from marketing to sales? What works? What does not work? What is the right OKR to measure marketing teams? Does it have to be tied directly to revenue?
Des' 60 Second SaaStr:
Biggest breakdown in the working of an efficient funnel?
Who is killing it in SaaS marketing today and why?
Advice in SaaS you commonly hear but disagree with?
Read the full transcript on our blog.
If you would like to find out more about the show and the guests presented, you can follow us on Twitter here:
Jason Lemkin
Harry Stebbings
SaaStr
Des Cahill
At Oracle, customer service chatbots use conversational AI to respond to consumers with more speed and complexity. Suhas Uliyar, vice president of bots, AI and mobile product management at Oracle, stopped by to talk to AI Podcast host Noah Kravitz about how the newest wave of conversational AI can keep up with the nuances of human conversation.
In this live interview, Oracle co-CEO Mark Hurd talks with Recode's Kara Swisher about how Oracle transitioned its business to the cloud, which is the fastest-growing segment of all enterprise spending. Hurd says a large, process-laden company like Oracle can't risk getting complacent and out-innovated by smaller startups, and had to weather some unhappy investors on Wall Street for many quarters because building out cloud services takes time and money. He also talks about immigration policy, job automation and why Steve Jobs once told him he would hate to have Hurd's job.
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