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Agile/Scrum

project_management software_development methodology

561

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Activity Trend

163 peak/qtr
2020-Q1 2026-Q1

Activities

561 activities · Newest first

AWS re:Invent 2025 - Build Advanced Search with Vector, Hybrid, and AI Techniques (ANT314)

Amazon OpenSearch Service is at the heart of how Artificial Intelligence is transforming the way we store, search, and use data. Learn how businesses are using AI to power their search-backed applications, achieving significant improvements in search accuracy and performance with OpenSearch Service’s advanced vector capabilities. Learn how Recruit uses OpenSearch Service to find available tables for "Hot Pepper Gourmet" diners. Dive deep into OpenSearch’s vector capabilities, and its role in building chat bots and agentic search. You’ll learn how to build scalable, high-performance, and cost-optimal solutions so that you can incorporate these technologies in your stack.

Learn more: More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

AWS re:Invent 2025 - Operating Apache Kafka and Apache Flink at scale (ANT307)

Enterprises use Apache Kafka and Apache Flink for an increasing number of mission-critical use-cases, real-time analytics, application messaging, and machine learning. As this usage grows in size and scale, so does the criticality, scale, and cost of managing the Kafka and Flink clusters. Learn how customers can achieve the same or higher availability and durability of their growing clusters, both at lower unit costs and with operational simplicity with Amazon MSK (Managed Streaming for Apache Kafka), and Amazon MSF (Managed Streaming for Apache Flink).

Learn more: More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

AWS re:Invent 2025 - Scaling Amazon Redshift with a multi-warehouse architecture (ANT318)

Enterprise analytics platforms are undergoing a major transformation—from centralized, overloaded data warehouses to federated, governed, GenAI-ready multi-warehouse architectures. In this session, you’ll learn how to design your data warehouse architecture to scale with your business needs. We’ll explore the end-to-end architectural evolution from a monolithic Redshift cluster to a modern multi-warehouse architecture and the best practices to deploy them in a cost-effective manner.

Learn more: More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

AWS re:Invent 2025 - Build Enterprise AI Apps Faster: Amazon Bedrock's Multimodal Solutions -AIM3341

Enterprise developers face challenges processing diverse unstructured content across multiple formats, often requiring complex integration of various AI services. Learn how Amazon Bedrock Data Automation simplifies AI application development by unifying workflows for documents, audio, images, and video into a single service. Through Air's success story discover how Bedrock Data Automation helps streamline content processing, optimizes price-performance, and enables customized insights generation. See how teams can accelerate their journey from experimentation to production while maintaining flexibility to use existing AI services where needed.

Learn more: More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

AWS re:Invent 2025 - Make agents remember with Amazon Bedrock AgentCore Memory (AIM331)

Intelligent agents with memory capabilities can deliver smarter, more personalized interactions—but implementing memory in production is no easy task. In this session, we’ll cover how to build context-aware agents using Amazon Bedrock AgentCore Memory. Learn to manage short-term and long-term memory securely, structure agent interactions around user history, and scale memory. Hear from Experian on how they are reimagining conversational memory architecture across their AI ecosystem. Learn about their framework for hierarchical context and how the availability of AgentCore Memory is shaping their direction toward a simpler approach for future AI-driven products and services.

Learn more: More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

AWS re:Invent 2025 - Agentic AI for member-owned financials: Systems that serve  (AIM337)

Credit unions and insurance organizations can leverage AI agents for automating complex workflows. In this code talk we’ll demonstrate going from concept to production with spec-driven development. We’ll work backwards from your business processes such as lending automation, claims processing, and fraud detection to turn prompts into detailed specifications, code, documents, and tests. Using prompts as code, we'll build production-ready agents using Strands Agents SDK and AWS services. Attendees will leave equipped with implementation tools, sample code, and best practices for building and deploying agentic AI solutions that transform credit union and insurance operations while ensuring explainable, compliant AI decision-making.

Learn more: More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

AWS re:Invent 2025 - Amazon Aurora DSQL: A developer's perspective  (DAT401)

In this live coding session, we'll show you how to work with Amazon Aurora DSQL from a developer's perspective. We'll develop a sample application to highlight some of the ways developing for Aurora DSQL is different than PostgreSQL. We'll cover authentication and connection management, optimistic concurrency transaction patterns, primary key selection, analyzing query performance, and best practices.

Learn more: More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

Scaling your small business with Microsoft 365 and Copilot

Explore how Microsoft 365 and Copilot empowers small businesses to grow and adapt. Learn about flexible licensing, streamlined device management, and seamless integration with key SMB apps. Discover real-world Copilot use cases and get practical guidance to roll out AI across your organization. Help employees start using Copilot effectively to stay agile, work smarter, and transform your business.

Best practices to modernize your apps and databases at scale

Learn how leading enterprises have transformed legacy systems into agile, cloud- and AI-ready solutions—at scale. Through real customer stories and proven best practices, you’ll discover the latest Azure App, Data, and AI innovations that fuel app modernization and deliver measurable business impact. Walk away with practical tips, inspired by real-world results, that you can start applying from day one.

Brought to You By: •⁠ Statsig ⁠ — ⁠ The unified platform for flags, analytics, experiments, and more. AI-accelerated development isn’t just about shipping faster: it’s about measuring whether, what you ship, actually delivers value. This is where modern experimentation with Statsig comes in. Check it out. •⁠ Linear ⁠ — ⁠ The system for modern product development. I had a jaw-dropping experience when I dropped in for the weekly “Quality Wednesdays” meeting at Linear. Every week, every dev fixes at least one quality isse, large or small. Even if it’s one pixel misalignment, like this one. I’ve yet to see a team obsess this much about quality. Read more about how Linear does Quality Wednesdays – it’s fascinating! — Martin Fowler is one of the most influential people within software architecture, and the broader tech industry. He is the Chief Scientist at Thoughtworks and the author of Refactoring and Patterns of Enterprise Application Architecture, and several other books. He has spent decades shaping how engineers think about design, architecture, and process, and regularly publishes on his blog, MartinFowler.com. In this episode, we discuss how AI is changing software development: the shift from deterministic to non-deterministic coding; where generative models help with legacy code; and the narrow but useful cases for vibe coding. Martin explains why LLM output must be tested rigorously, why refactoring is more important than ever, and how combining AI tools with deterministic techniques may be what engineering teams need. We also revisit the origins of the Agile Manifesto and talk about why, despite rapid changes in tooling and workflows, the skills that make a great engineer remain largely unchanged. — Timestamps (00:00) Intro (01:50) How Martin got into software engineering  (07:48) Joining Thoughtworks  (10:07) The Thoughtworks Technology Radar (16:45) From Assembly to high-level languages (25:08) Non-determinism  (33:38) Vibe coding (39:22) StackOverflow vs. coding with AI (43:25) Importance of testing with LLMs  (50:45) LLMs for enterprise software (56:38) Why Martin wrote Refactoring  (1:02:15) Why refactoring is so relevant today (1:06:10) Using LLMs with deterministic tools (1:07:36) Patterns of Enterprise Application Architecture (1:18:26) The Agile Manifesto  (1:28:35) How Martin learns about AI  (1:34:58) Advice for junior engineers  (1:37:44) The state of the tech industry today (1:42:40) Rapid fire round — The Pragmatic Engineer deepdives relevant for this episode: • Vibe coding as a software engineer • The AI Engineering stack • AI Engineering in the real world • What changed in 50 years of computing — Production and marketing by ⁠⁠⁠⁠⁠⁠⁠⁠https://penname.co/⁠⁠⁠⁠⁠⁠⁠⁠. For inquiries about sponsoring the podcast, email [email protected].

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Learn how the Atos Group is accelerating digital transformation with agentic AI. In this session, you’ll see how the Atos Polaris AI Platform introduces autonomous data & AI engineer agents that reshape how programs are delivered. Discover how agile squads that combine human engineers with autonomous AI engineers can accelerate time-to-value.

The digital skills gap costs the UK economy £63 billion annually. From healthcare to education and social care, unlocking the power of data and AI is critical to protecting citizens and driving better outcomes. This session reveals how to build agile, data-literate teams, scale innovation efficiently across departments, and create sustainable internal expertise. Join us to explore how to close the skills gap with fresh thinking and innovative approaches that revolutionise public sector capability.

Avec les solutions Azure de Microsoft et Snowflake, Oney Bank construit une plateforme Data unifiée, agile et sécurisée. Découvrez comment Fabric OneLake, Copilot Studio et Cortex s'intègrent au Snowflake Data Cloud pour accélérer l'innovation, déployer l'IA à grande échelle et générer de la valeur tout en répondant aux exigences réglementaires les plus strictes.

  • Approche & Implémentation 

 Déploiement de la plateforme StellAI via une méthode agile et collaborative, intégrée aux processus métier. 

  • ROI & Chiffres clés 

 Amélioration de la satisfaction client, réduction des coûts opérationnels, accélération du time-to-market. 

  • Valeur & Perspectives 

 Renforcement de la compétitivité, extension à de nouveaux domaines, montée en compétence IA à l’échelle. 

Comment structurer, industrialiser et faire évoluer une activité Data, Analytics & IA dans une entreprise industrielle internationale ? Quels sont les leviers concrets pour concilier efficacité opérationnelle et impact business mesurable ? C’est à ces questions que répondront Matthieu et David en partageant le retour d’expérience du Groupe Somfy.

Depuis trois ans, Matthieu a accompagné la montée en puissance de la fonction data au sein de Somfy, en passant successivement par la Reporting Factory, la Digital Factory, puis en prenant la tête d’une réorganisation unifiée autour des domaines Analytics, Intelligence Artificielle et Data. Ce cheminement vers une « Data, Analytics & AI Factory » a permis de bâtir un modèle centré sur la création de valeur tout en garantissant une excellence opérationnelle.

Durant cette session, il reviendra sur les grandes étapes de cette transformation et les décisions structurantes prises pour passer à l’échelle :

• Comment organiser une gouvernance agile autour des expertises data, analytics et IA ?

• Quels défis rencontrer sur le plan humain, technique et métier ?

• Comment améliorer le time to market des projets tout en assurant leur pertinence et leur industrialisation ?

Au cœur de la conférence : des exemples concrets de squads multidisciplinaires déployées sur des cas d’usage à fort impact, les bénéfices observés, et les enseignements clés pour ancrer durablement une culture de la donnée.

Une session pragmatique, orientée terrain, pour toutes les organisations qui souhaitent faire de la Data, Analytics & IA un véritable levier de transformation durable.

Passer d’une approche opportuniste de l’intelligence artificielle à une stratégie structurée et génératrice de valeur : c’est le pari réussi de plusieurs groupes industriels français. À travers les témoignages de leurs DSI, découvrez comment ces entreprises ont transformé leurs usages de l’IA pour en faire un véritable levier de performance.

Quelles premières étapes privilégier ? Comment embarquer les collaborateurs dans cette dynamique ? Quelles actions mettre en œuvre pour obtenir un retour sur investissement à la fois rapide et durable ?

À travers ces retours d’expérience concrets, découvrez comment ces entreprises — de la PME agile au groupe international structuré — ont su dépasser le stade de l’expérimentation pour intégrer l’IA de manière stratégique et opérationnelle. Un partage d’enseignements clés pour nourrir votre propre trajectoire vers une entreprise "AI native".

Délivrer un projet en 10 jours, de l’intégration à l’exploitation des données. Comment Denodo révolutionne les approches historiques.

 

Dans un contexte actuel où la souveraineté et le réglementaire deviennent des contraintes clés, quelle approche pour bâtir un écosystème agile, respecteux et frugal, tout en assurant aux métiers un accès facilité et temps réel aux informations dont ils ont besoin.

Au programme de la session, tendances du marché, retours d’expérience concrets et indicateurs clés, best practice pour un programme de transformation data réussi.

Plongez dans le métaverse industriel de Renault Group : une révolution numérique en temps réel de 25 usines connectées, alimentée par plus de 5 milliards de données par jour. Découvrez comment les jumeaux numériques et la maintenance prédictive, boostés par l’IA, transforment la performance industrielle. 

Rejoignez-nous pour explorer un écosystème digital étendu, agile et résilient.