Experience the future of AI with Google Cloud! Speak with customers who are building innovative AI solutions and learn directly from them. This experience offers a real-world look into "how we built it" discussions, giving you the chance to explore the possibilities. See detailed schedule of each timeblock here.

This session brings together leading product experts from Google Cloud, Anthropic, Oracle, Databricks, and SAP to explore the five essential strategies for enterprises to successfully leverage AI and data. Attendees will gain valuable insights from real-world AI implementations, learn from the successes and challenges faced by global customers, and receive practical guidance on how to translate these strategies into actionable plans for their own AI journeys.

AI is revolutionizing the startup landscape, unlocking new possibilities for innovation, efficiency, and growth. Join industry leaders as they share bold predictions, critical challenges, and practical strategies to help you harness AI for your business in 2025 and beyond.

Discover the breakthrough AI capabilities transforming cloud operations and management. Join us for an overview of Gemini Cloud Assist and learn how it brings you an AI-based cloud management experience. Gemini Cloud Assist empowers you to design and deploy apps faster, troubleshoot issues with AI insights, and optimize performance and costs through intelligent recommendations. We’ll showcase its new capabilities and integrations in various Google Cloud products, and show you how it can completely reshape your cloud management experience.

AI agents are revolutionizing organizations by embedding AI into workflows, delivering autonomous outcomes. While this offers opportunities, it also introduces risks. To mitigate these, we must implement agent-specific controls. AI is a powerful security tool, enabling resilience & optimization at scale. Discover how Accenture’s Security AI Engineering practice is developing modular blueprints to rapidly integrate AI & agentic capabilities, accelerating security operations, bridging tooling gaps, & enhancing critical infrastructure resilience.

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

This session offers insight on diverse AI user journeys to help you visualize AI’s potential. Drawing on Google’s experience working with different clients, our experts will showcase impactful ways customers are driving their businesses forward with Google Workspace with Gemini. We’ll explore different use cases, demonstrating how AI can optimize operations, enhance experiences, and unlock new growth opportunities.

In this spotlight, we will explore Google Cloud’s approach to getting started with generative AI and share examples of how organizations are putting generative AI into production with Google Cloud and creating AI Agent experiences for their customers, employees and partners. Join the session to learn about all our new announcements planned for the best foundation models, best agent building framework, and the most integrated agent space, come together to help you orchestrate a solid AI future for your organization.

Dive into the architecture of cutting-edge Conversational AI Agents built with Google's AI technology. Explore the integration of Dialogflow with custom APIs to enable your Agent to affect the real world. Learn about the challenges of accuracy measurement and strategies for optimization. This session provides a blueprint for building AI agents that seamlessly integrate with your existing systems.

Unlock the Power of Fine-Tuning with Apps Script! Learn how to optimize pre-trained models for specific tasks using Google Apps Script. This session covers exporting data from Sheets to Cloud Storage as JSONL, building an Apps Script prompt explainer backend, and creating service accounts for secure access to Vertex AI and Cloud Storage. We'll also show how to collect, transform, and split data for training, launch the fine-tuning process, and test results in Vertex AI and a Google Chat bot. Master fine-tuning for practical AI applications.

Discover how Target modernized its MLOps workflows using Ray and Vertex AI to build scalable ML applications.  This session will cover key strategies for optimizing model performance, ensuring security and compliance, and fostering collaboration between data science and platform teams. Whether you’re looking to streamline model deployment, enhance data access, or improve infrastructure management in a hybrid setup, this session provides practical insights and guidance for integrating Ray and Vertex AI into your MLOps roadmap.

Revolutionize your SAP operations on Google Cloud with AI. This talk explores AIOps and demonstrates how AI can proactively monitor your SAP systems, predict and automate responses to potential issues. Learn how AI-driven insights can reduce downtime, optimize resource utilization and enhance user experiences.

Está no ar, o Data Hackers News !! Os assuntos mais quentes da semana, com as principais notícias da área de Dados, IA e Tecnologia, que você também encontra na nossa Newsletter semanal, agora no Podcast do Data Hackers !! Aperte o play e ouça agora, o Data Hackers News dessa semana ! Para saber tudo sobre o que está acontecendo na área de dados, se inscreva na Newsletter semanal: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.datahackers.news/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Conheça nossos comentaristas do Data Hackers News: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Monique Femme⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Demais canais do Data Hackers: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Site⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Linkedin⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Tik Tok⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠You Tube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Supported by Our Partners •⁠ CodeRabbit⁠⁠ — Cut code review time and bugs in half. Use the code PRAGMATIC to get one month free. •⁠ Modal⁠ — The cloud platform for building AI applications. — How will AI tools change software engineering? Tools like Cursor, Windsurf and Copilot are getting better at autocomplete, generating tests and documentation. But what is changing, when it comes to software design? Stanford professor John Ousterhout thinks not much. In fact, he believes that great software design is becoming even more important as AI tools become more capable in generating code.  In this episode of The Pragmatic Engineer, John joins me to talk about why design still matters and how most teams struggle to get it right. We dive into his book A Philosophy of Software Design, unpack the difference between top-down and bottom-up approaches, and explore why some popular advice, like writing short methods or relying heavily on TDD, does not hold up, according to John. We also explore:  • The differences between working in industry vs. academia  • Why John believes software design will become more important as AI capabilities expand • The top-down and bottoms-up design approaches – and why you should use both • John’s “design it twice” principle • Why deep modules are essential for good software design  • Best practices for special cases and exceptions • The undervalued trait of empathy in design thinking • Why John advocates for doing some design upfront • John’s criticisms of the single-responsibility principle, TDD, and why he’s a fan of well-written comments  • And much more! As a fun fact: when we recorded this podcast, John was busy contributing to the Linux kernel: adding support to the Homa Transport Protocol – a protocol invented by one of his PhD students. John wanted to make this protocol available more widely, and is putting in the work to do so. What a legend! (We previously covered how Linux is built and how to contribute to the Linux kernel) — Timestamps (00:00) Intro  (02:00) Why John transitioned back to academia (03:47) Working in academia vs. industry  (07:20) Tactical tornadoes vs. 10x engineers (11:59) Long-term impact of AI-assisted coding (14:24) An overview of software design (15:28) Why TDD and Design Patterns are less popular now  (17:04) Two general approaches to designing software  (18:56) Two ways to deal with complexity  (19:56) A case for not going with your first idea  (23:24) How Uber used design docs (26:44) Deep modules vs. shallow modules (28:25) Best practices for error handling (33:31) The role of empathy in the design process (36:15) How John uses design reviews  (38:10) The value of in-person planning and using old-school whiteboards  (39:50) Leading a planning argument session and the places it works best (42:20) The value of doing some design upfront  (46:12) Why John wrote A Philosophy of Software of Design  (48:40) An overview of John’s class at Stanford (52:20) A tough learning from early in Gergely’s career  (55:48) Why John disagrees with Robert Martin on short methods (1:10:40) John’s current coding project in the Linux Kernel  (1:14:13) Updates to A Philosophy of Software Design in the second edition (1:19:12) Rapid fire round (1:01:08) John’s criticisms of TDD and what he favors instead  (1:05:30) Why John supports the use of comments and how to use them correctly (1:09:20) How John uses ChatGPT to help explain code in the Linux Kernel — The Pragmatic Engineer deepdives relevant for this episode: • Engineering Planning with RFCs, Design Documents and ADRs • Paying down tech debt • Software architect archetypes • Building Bluesky: a distributed social network — See the transcript and other references from the episode at ⁠⁠https://newsletter.pragmaticengineer.com/podcast⁠⁠ — Production and marketing by ⁠⁠⁠⁠⁠⁠⁠⁠https://penname.co/⁠⁠⁠⁠⁠⁠⁠⁠. For inquiries about sponsoring the podcast, email [email protected].

Get full access to The Pragmatic Engineer at newsletter.pragmaticengineer.com/subscribe

Juhani Vanhatapio lives in Finland at the Arctic Circle and is studying data engineering and machine learning. Juhani shares stories about life in the Arctic, the challenges and fun of guiding tours to see the Northern Lights, his AI Assistant for Northern Lights tourism, and his journey into the tech field during the COVID pandemic. This is definitely a very interesting and left-field conversation you'll enjoy.

Have you ever written something that looked perfect but felt… off? Like the grammar was flawless, the structure airtight, but the soul? Missing. In this episode, Mukundan shares a deeply personal story about emotional disconnection in writing—and how a simple AI app helped him uncover and correct it. It's part confessional, part technical walkthrough, and completely human. Whether you're a writer, blogger, speaker, or someone who wants their words to indeed land, this episode will make you rethink everything you thought you knew about “tone.” Takeaways I built an AI to tell me the emotional truth. My writing felt emotionally disconnected. Tone is invisible, but it is everything. AI reflects and shows us our blind spots. We need more felt truth in the world. When was the last time you asked your words how they feel? Being real helps you connect with people. I trained a model to use my own writing. The world doesn't need more content, it needs more truth. What is the emotional tone of this paragraph?

Blog: https://medium.com/towards-artificial-intelligence/i-built-a-tool-to-expose-the-lie-my-blog-was-telling-b89ce9903384

Send us a text Part 1 of 2 How do we make organizations not just run — but run intelligently? In this episode of Making Data Simple, we welcome Phanish Puranam, Professor of Strategy and Organizational Design at INSEAD, to explore the intersection of AI, organizational science, and intelligent design. From tools and teammates to blockchain and the metaverse, Phanish walks us through the evolving relationship between humans, algorithms, and the systems we build. We dive into real-world use cases, research-backed insights, and surprising pitfalls — plus a contrarian take on why bad ideas might be the key to better innovation. ⏱️ Chapters 01:50 – Meet Phanish Puranam03:36 – Organizational Design08:39 – Where is Org Design Today12:41 – A Research Example15:59 – Technologies as Tools & Teammates17:54 – A Real Use Case Example20:30 – The Metaverse, Eliminate Bad Ideas Fast21:28 – Pitfalls23:30 – Use Case Deep Dive30:06 – The Power Structure🔗 Connect with Phanish Puranam LinkedIn: linkedin.com/in/phanishpuranamINSEAD Profile: insead.edu/faculty/phanish-puranam#OrganizationalDesign #ArtificialIntelligence #PhanishPuranam #FutureOfWork #AIinBusiness #AlgorithmicOrganizations #Leadership #INSEAD #MakingDataSimple #AIandWork #BusinessStrategy #DigitalTransformation #OrgDesign Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

In this episode, we explore the next generation of polymeric drug carriers, made from sustainably sourced glycerol and diglycerol. Researchers are replacing traditional PEGylated polymers with innovative glycerol-based polyesters and copolyesters that are biodegradable, biocompatible, and free from PEG-related immunogenic risks.

We cover four recent studies investigating how changes to the polymer backbone—like adding hydrophobic diols or tweaking amphiphilicity—dramatically affect nanoparticle formation, drug encapsulation, and in vivo performance.

🔍 Key Topics Covered: • The rise of poly(glycerol adipate) (PGA) and poly(diglycerol adipate) (PDGA) as eco-friendly drug carriers • How backbone modifications (adding 1,6-hexanediol or altering hydrophilicity) fine-tune nanoparticle properties • Chitosan-based nanoparticles for delivering sodium usnate in osteosarcoma therapy, combining drug delivery with cancer suppression • Advanced stability, encapsulation, and whole-organism (Caenorhabditis elegans) biocompatibility testing of these smart polymers • Why these next-generation biodegradable polyesters could replace PEG in future medicines

📖 Based on 4 Research Articles: 1. Poly (diglycerol adipate) variants as enhanced nanocarrier replacements in drug delivery applications – Jacob et al., 2023  2. Glycerol- and diglycerol-based polyesters: Evaluation of backbone alterations upon nano-formulation performance – Axioti et al., 2024  3. Self-assembled chitosan-sodium usnate drug delivery nanosystems: Synthesis, characterisation, stability, cytotoxicity, and biocompatibility against 143B cells – Brugnoli et al., 2023  4. Glycerol-Based Copolyesters as Polymeric Nanocarriers for Drug Delivery – D’Anna et al., 2025 

🎧 Subscribe to the WoRM Podcast for more discoveries at the interface of polymer science, drug delivery, and whole-organism research!

This podcast is generated with artificial intelligence and curated by Veeren. If you’d like your publication featured on the show, please get in touch.

📩 More info: 🔗 ⁠www.veerenchauhan.com⁠ 📧 [email protected]

Summary In this conversation, Mukund Sankar shares his personal journey of overcoming burnout and anxiety related to presentations. He discusses the challenges faced by introverts in professional settings, particularly in creating and delivering presentations. Mukund emphasizes the role of AI in alleviating the stress of presentation preparation and encourages listeners to focus on storytelling rather than just slides. He advocates for a shift in mindset from fearing presentations to viewing them as opportunities for connection and sharing personal stories. Takeaways Burnout can lead to a loss of identity and purpose. Presentations can be a source of anxiety, especially for introverts. AI can significantly aid in creating presentations efficiently. It's important to prepare not just content, but also to manage fears. Many professionals share the struggle of presenting. Using AI can help streamline the presentation process. Storytelling is more impactful than just presenting slides. Connecting with the audience is key to effective presentations. Overcoming the fear of presentations can lead to personal growth. Embracing vulnerability can enhance the presentation experience.

Link to Blog post that shows you how to do it yourself (how to DIY): https://mukundansankar.substack.com/p/i-woke-up-with-no-memoryand-a-calendar

Join Katie Couric and Google leadership for an insightful discussion on the transformative power of artificial intelligence. Gain critical perspectives as we explore AI’s vast business potential and outline the company’s strategic approach to the technology. This session will demonstrate how AI is advancing Google's mission to organize the world’s information and make it accessible and useful to everyone.

AI’s profound impact is reshaping global industries and businesses. Hear perspectives from the C-Suite on navigating this transformation in a session moderated by Katie Couric, with CEOs from ServiceNow, Workday, and Best Buy. This panel discussion will explore their firsthand experiences adopting this technology and its impact on competitive advantage, market leadership, and future-proofing their businesses.

Topics will include: 

• AI trends and developments that are reshaping the industry
• Adopting and leveraging AI to stay ahead of the curve to achieve tangible results
• CEO perspectives for building an AI-ready workforce and adopting AI to maximize impact