This document summarizes and compares various Ruby driver and ORM libraries for MongoDB, including Mongoid, MongoMapper, Mongomatic, and MongoODM. It discusses their features like querying syntax, associations, embedded documents, validation, and ActiveModel integration. It also provides code examples for creating and querying documents using these different libraries.
View all the MongoDB World 2016 Poster Sessions slides in one place!
Table of Contents:
1: BigData DB Infrastructure for Modeling the Fly Brain
2: Taming the WiredTiger Cache
3: Sharding with MongoDB 3.2 Kick the tires and pop the hood!
4: Scaling Proactive Anomaly Detection
5: MongoTx: Transactions with Sharding and Queries
6: MongoDB: It’s Not Too Late To Shard
7: DLIFLC usage of MongoDB
This document discusses strategies for promoting MongoDB adoption. It recommends understanding MongoDB's features, costs, and use cases before promoting it to potential users. It suggests identifying pain points like complex joins that MongoDB could alleviate for "developers" and performance needs that its MapReduce could address for "managers." Examples of successful MongoDB migrations are presented to convince "skeptics." The goal is to alter perceptions and infect target organizations with MongoDB by solving real problems rather than just touting its features.
The document discusses a talk given by Mitch Pirtle about using PHP, Lithium, and MongoDB together. It provides background on Mitch and what he will cover, including an introduction to MongoDB and Lithium. Some key benefits of using Lithium with MongoDB are that Lithium does not force relational practices and encourages using MongoDB's flexible document model. The talk concludes with providing some resources for learning more about Lithium and PHP filters.
This document provides an introduction to MongoDB and building a sample library management application using MongoDB. It discusses key MongoDB concepts like using documents and collections instead of tables and rows, embedding documents, indexing, and querying. Examples are given of inserting, updating, and querying book and author documents to model the library application. The document emphasizes that MongoDB allows flexible schema evolution and complex queries on nested and array data.
MongoDB Java Development - MongoBoston 2010Eliot Horowitz
This document summarizes Java development options for MongoDB, including simple Java usage, the Morphia ORM, concurrency patterns, write concerns, data types, custom encoding/decoding, GridFS for file storage, and running MapReduce jobs on MongoDB data using Hadoop. Code examples are provided for common operations like inserting documents, querying with Morphia, and running a word count MapReduce job.
Webinar: Introducing the MongoDB Connector for BI 2.0 with TableauMongoDB
Pairing your real-time operational data stored in a modern database like MongoDB with first-class business intelligence platforms like Tableau enables new insights to be discovered faster than ever before.
Many leading organizations already use MongoDB in conjunction with Tableau including a top American investment bank and the world’s largest airline. With the Connector for BI 2.0, it’s never been easier to streamline the connection process between these two systems.
In this webinar, we will create a live connection from Tableau Desktop to a MongoDB cluster using the Connector for BI. Once we have Tableau Desktop and MongoDB connected, we will demonstrate the visual power of Tableau to explore the agile data storage of MongoDB.
You’ll walk away knowing:
- How to configure MongoDB with Tableau using the updated connector
- Best practices for working with documents in a BI environment
- How leading companies are using big data visualization strategies to transform their businesses
How Auto Trader enables the UK's largest digital automotive marketplaceMongoDB
Often cited as one of the most successful digital transformations in the UK, Russell Warman talked through how their new ways of working, values and technology are helping Auto Trader to enable the UK's largest digital automotive marketplace and to become the UK’s most admired digital business.
The importance of efficient data management for Digital TransformationMongoDB
Digital transformation involves profoundly transforming business activities, processes, competencies, and models to leverage changes from digital technologies strategically. It requires new capabilities and data management maturity. There are three areas of data management: data in motion which involves transferring data between systems; data at rest which refers to how data is stored; and data in use which is about extracting, transforming and analyzing data. A modern data platform uses cloud native technologies to manage data in real-time across all three areas at massive scales.
Back to Basics: My First MongoDB ApplicationMongoDB
- The document is a slide deck for a webinar on building a basic blogging application using MongoDB.
- It covers MongoDB concepts like documents, collections and indexes. It then demonstrates how to install MongoDB, connect to it using the mongo shell, and insert documents.
- The slide deck proceeds to model a basic blogging application using MongoDB, creating collections for users, articles and comments. It shows how to query, update, and import large amounts of seeded data.
Development time is wasted as the bulk of the work shifts from adding business features to struggling with the RDBMS. MongoDB, the leading NoSQL database, offers a flexible and scalable solution.
Back to Basics Webinar 3: Introduction to Replica SetsMongoDB
This document provides an introduction to MongoDB replica sets, which allow for data redundancy and high availability. It discusses how replica sets work, including the replica set life cycle and how applications should handle writes and queries when using a replica set. Specifically, it explains that the MongoDB driver is responsible for server discovery and monitoring, retry logic, and handling topology changes in a replica set to provide a consistent view of the data to applications.
Back to Basics 2017: Introduction to ShardingMongoDB
Sharding is a method for distributing data across multiple machines. MongoDB uses sharding to support deployments with very large data sets and high throughput operations by providing the capability for horizontal scaling.
MongoDB Analytics: Learn Aggregation by Example - Exploratory Analytics and V...MongoDB
This document discusses analyzing flight data using MongoDB aggregation. It provides examples of aggregation pipelines to group, match, project, sort, unwind and other stages. It explores questions about major carriers, airport cancellations, delays by distance and carrier. It also discusses visualizing route data and hub airports. Finally, it proposes a quiz on analyzing NYC flight data by importing data and performing queries on origins, cancellations, delays and weather impacts by month between the three major NYC airports.
Back to Basics Webinar 1: Introduction to NoSQLMongoDB
This document provides an overview of an introduction to NoSQL webinar. It discusses why NoSQL databases were created, the different types of NoSQL databases including key-value stores, column stores, graph stores, multi-model databases and document stores. It provides details on MongoDB, describing how MongoDB stores data as JSON-like documents with dynamic schemas and supports features like indexing, aggregation and geospatial queries. The webinar agenda is also outlined.
Creating a Modern Data Architecture for Digital TransformationMongoDB
By managing Data in Motion, Data at Rest, and Data in Use differently, modern Information Management Solutions are enabling a whole range of architecture and design patterns that allow enterprises to fully harness the value in data flowing through their systems. In this session we explored some of the patterns (e.g. operational data lakes, CQRS, microservices and containerisation) that enable CIOs, CDOs and senior architects to tame the data challenge, and start to use data as a cross-enterprise asset.
Organisations are building their applications around microservice architectures because of the flexibility, speed of delivery, and maintainability they deliver. In this session, the concepts behind microservices, containers and orchestration was explained and how to use them with MongoDB.
Webinar: Working with Graph Data in MongoDBMongoDB
With the release of MongoDB 3.4, the number of applications that can take advantage of MongoDB has expanded. In this session we will look at using MongoDB for representing graphs and how graph relationships can be modeled in MongoDB.
We will also look at a new aggregation operation that we recently implemented for graph traversal and computing transitive closure. We will include an overview of the new operator and provide examples of how you can exploit this new feature in your MongoDB applications.
MongoDB Days Silicon Valley: Implementing Graph Databases with MongoDBMongoDB
Presented by: John Barry, Senior Platform Developer, Apervita
Experience level: Deep dive
Graph databases are natural representation for many forms of data - from social network relationships, to music genres, to medical vocabulary data. Apervita’s challenge is importing and housing vast medical ontologies, and allowing efficient traversal of the graph retrieving both parent and child nodes across a variety of relationships.
In this session, we will discuss the characteristics of graph databases, an implementation strategy for MongoDB, and an approach for implementing transitive closure for efficient traversal of the graph with limited database trips.
Back to Basics Webinar 2: Your First MongoDB ApplicationMongoDB
The document provides instructions for installing and using MongoDB to build a simple blogging application. It demonstrates how to install MongoDB, connect to it using the mongo shell, insert and query sample data like users and blog posts, update documents to add comments, and more. The goal is to illustrate how to model and interact with data in MongoDB for a basic blogging use case.
Back to Basics Webinar 1: Introduction to NoSQLMongoDB
This is the first webinar of a Back to Basics series that will introduce you to the MongoDB database, what it is, why you would use it, and what you would use it for.
Using MongoDB as a high performance graph databaseChris Clarke
This document provides a summary of a presentation on using MongoDB as a high performance graph database. The presentation discusses:
1) The speaker's company Talis Education using MongoDB for 8 months to store and query graph data, and implementing a software wrapper on top of MongoDB to improve scalability and performance.
2) Common graph data models using nodes and edges or resources and properties. Basic graph concepts like undirected vs directed graphs are explained.
3) Storing graph data as RDF triples, with the standard subject-predicate-object structure. Benefits of RDF such as reusing common schemas and easy data merging are highlighted.
4) SPARQL, the query language for RDF,
MongoDB is an open-source, document-oriented database that provides high performance and horizontal scalability. It uses a document-model where data is organized in flexible, JSON-like documents rather than rigidly defined rows and tables. Documents can contain multiple types of nested objects and arrays. MongoDB is best suited for applications that need to store large amounts of unstructured or semi-structured data and benefit from horizontal scalability and high performance.
GAME ON! Integrating Games and Simulations in the Classroom Brian Housand
Brian Housand, Ph.D.
brianhousand.com
@brianhousand
GAME ON! Integrating Games and Simulations in the Classroom
It is estimated that by the time that today’s youth enters adulthood that they will have played an average of 10,000 hours of video games. By playing games, research suggests that they have developed abilities related to creativity, collaboration, and critical thinking. Come explore the history of games and simulations in the classroom and investigate ways that current games and simulations in digital and non-digital formats can be meaningfully and purposefully integrated into your learning environment.
Back to Basics Webinar 4: Advanced Indexing, Text and Geospatial IndexesMongoDB
This is the fourth webinar of a Back to Basics series that will introduce you to the MongoDB database. This webinar will introduce you to the aggregation framework.
MongoDB Days UK: Building an Enterprise Data Fabric at Royal Bank of Scotland...MongoDB
Presented by Michael Fulke, Development Team Lead, Royal Bank of Scotland
Experience level: Beginner
When addressing common investment banking use-cases, incumbent application architectures have proven themselves to be complex, difficult to maintain and expensive. Driven by the apparently competing pressures of cost and agility, RBS used MongoDB to build a common enterprise data fabric which is underpinning several core trading platforms. In this session, you will learn how RBS has successfully integrated MongoDB into a wider Java-based architecture, built with a strong open source bias.
This document outlines Mitch Pirtle's presentation on setting up Elasticsearch in the cloud. The presentation discusses Mitch's early experiences with Elasticsearch and how he initially wanted a simple web crawler but found Elasticsearch difficult to set up locally. It then covers various approaches to deploying Elasticsearch in the cloud, including single instance deployments, clustered services, and using Amazon Elasticsearch Service. The presentation addresses the pros and cons of each approach and concludes by taking questions from the audience.
The document provides an overview of the speaker's experience with MongoDB and how it has evolved over time to meet growing data and usage demands. It discusses (1) how data storage needs changed from efficiency to throughput, (2) the proliferation of programming languages and object-relational mappers, and (3) MongoDB's features for sharding, clustering, and storing data as JSON documents to address these challenges. The speaker emphasizes leaving behind the 3NF data model and that atomicity is at the document level with MongoDB.
The importance of efficient data management for Digital TransformationMongoDB
Digital transformation involves profoundly transforming business activities, processes, competencies, and models to leverage changes from digital technologies strategically. It requires new capabilities and data management maturity. There are three areas of data management: data in motion which involves transferring data between systems; data at rest which refers to how data is stored; and data in use which is about extracting, transforming and analyzing data. A modern data platform uses cloud native technologies to manage data in real-time across all three areas at massive scales.
Back to Basics: My First MongoDB ApplicationMongoDB
- The document is a slide deck for a webinar on building a basic blogging application using MongoDB.
- It covers MongoDB concepts like documents, collections and indexes. It then demonstrates how to install MongoDB, connect to it using the mongo shell, and insert documents.
- The slide deck proceeds to model a basic blogging application using MongoDB, creating collections for users, articles and comments. It shows how to query, update, and import large amounts of seeded data.
Development time is wasted as the bulk of the work shifts from adding business features to struggling with the RDBMS. MongoDB, the leading NoSQL database, offers a flexible and scalable solution.
Back to Basics Webinar 3: Introduction to Replica SetsMongoDB
This document provides an introduction to MongoDB replica sets, which allow for data redundancy and high availability. It discusses how replica sets work, including the replica set life cycle and how applications should handle writes and queries when using a replica set. Specifically, it explains that the MongoDB driver is responsible for server discovery and monitoring, retry logic, and handling topology changes in a replica set to provide a consistent view of the data to applications.
Back to Basics 2017: Introduction to ShardingMongoDB
Sharding is a method for distributing data across multiple machines. MongoDB uses sharding to support deployments with very large data sets and high throughput operations by providing the capability for horizontal scaling.
MongoDB Analytics: Learn Aggregation by Example - Exploratory Analytics and V...MongoDB
This document discusses analyzing flight data using MongoDB aggregation. It provides examples of aggregation pipelines to group, match, project, sort, unwind and other stages. It explores questions about major carriers, airport cancellations, delays by distance and carrier. It also discusses visualizing route data and hub airports. Finally, it proposes a quiz on analyzing NYC flight data by importing data and performing queries on origins, cancellations, delays and weather impacts by month between the three major NYC airports.
Back to Basics Webinar 1: Introduction to NoSQLMongoDB
This document provides an overview of an introduction to NoSQL webinar. It discusses why NoSQL databases were created, the different types of NoSQL databases including key-value stores, column stores, graph stores, multi-model databases and document stores. It provides details on MongoDB, describing how MongoDB stores data as JSON-like documents with dynamic schemas and supports features like indexing, aggregation and geospatial queries. The webinar agenda is also outlined.
Creating a Modern Data Architecture for Digital TransformationMongoDB
By managing Data in Motion, Data at Rest, and Data in Use differently, modern Information Management Solutions are enabling a whole range of architecture and design patterns that allow enterprises to fully harness the value in data flowing through their systems. In this session we explored some of the patterns (e.g. operational data lakes, CQRS, microservices and containerisation) that enable CIOs, CDOs and senior architects to tame the data challenge, and start to use data as a cross-enterprise asset.
Organisations are building their applications around microservice architectures because of the flexibility, speed of delivery, and maintainability they deliver. In this session, the concepts behind microservices, containers and orchestration was explained and how to use them with MongoDB.
Webinar: Working with Graph Data in MongoDBMongoDB
With the release of MongoDB 3.4, the number of applications that can take advantage of MongoDB has expanded. In this session we will look at using MongoDB for representing graphs and how graph relationships can be modeled in MongoDB.
We will also look at a new aggregation operation that we recently implemented for graph traversal and computing transitive closure. We will include an overview of the new operator and provide examples of how you can exploit this new feature in your MongoDB applications.
MongoDB Days Silicon Valley: Implementing Graph Databases with MongoDBMongoDB
Presented by: John Barry, Senior Platform Developer, Apervita
Experience level: Deep dive
Graph databases are natural representation for many forms of data - from social network relationships, to music genres, to medical vocabulary data. Apervita’s challenge is importing and housing vast medical ontologies, and allowing efficient traversal of the graph retrieving both parent and child nodes across a variety of relationships.
In this session, we will discuss the characteristics of graph databases, an implementation strategy for MongoDB, and an approach for implementing transitive closure for efficient traversal of the graph with limited database trips.
Back to Basics Webinar 2: Your First MongoDB ApplicationMongoDB
The document provides instructions for installing and using MongoDB to build a simple blogging application. It demonstrates how to install MongoDB, connect to it using the mongo shell, insert and query sample data like users and blog posts, update documents to add comments, and more. The goal is to illustrate how to model and interact with data in MongoDB for a basic blogging use case.
Back to Basics Webinar 1: Introduction to NoSQLMongoDB
This is the first webinar of a Back to Basics series that will introduce you to the MongoDB database, what it is, why you would use it, and what you would use it for.
Using MongoDB as a high performance graph databaseChris Clarke
This document provides a summary of a presentation on using MongoDB as a high performance graph database. The presentation discusses:
1) The speaker's company Talis Education using MongoDB for 8 months to store and query graph data, and implementing a software wrapper on top of MongoDB to improve scalability and performance.
2) Common graph data models using nodes and edges or resources and properties. Basic graph concepts like undirected vs directed graphs are explained.
3) Storing graph data as RDF triples, with the standard subject-predicate-object structure. Benefits of RDF such as reusing common schemas and easy data merging are highlighted.
4) SPARQL, the query language for RDF,
MongoDB is an open-source, document-oriented database that provides high performance and horizontal scalability. It uses a document-model where data is organized in flexible, JSON-like documents rather than rigidly defined rows and tables. Documents can contain multiple types of nested objects and arrays. MongoDB is best suited for applications that need to store large amounts of unstructured or semi-structured data and benefit from horizontal scalability and high performance.
GAME ON! Integrating Games and Simulations in the Classroom Brian Housand
Brian Housand, Ph.D.
brianhousand.com
@brianhousand
GAME ON! Integrating Games and Simulations in the Classroom
It is estimated that by the time that today’s youth enters adulthood that they will have played an average of 10,000 hours of video games. By playing games, research suggests that they have developed abilities related to creativity, collaboration, and critical thinking. Come explore the history of games and simulations in the classroom and investigate ways that current games and simulations in digital and non-digital formats can be meaningfully and purposefully integrated into your learning environment.
Back to Basics Webinar 4: Advanced Indexing, Text and Geospatial IndexesMongoDB
This is the fourth webinar of a Back to Basics series that will introduce you to the MongoDB database. This webinar will introduce you to the aggregation framework.
MongoDB Days UK: Building an Enterprise Data Fabric at Royal Bank of Scotland...MongoDB
Presented by Michael Fulke, Development Team Lead, Royal Bank of Scotland
Experience level: Beginner
When addressing common investment banking use-cases, incumbent application architectures have proven themselves to be complex, difficult to maintain and expensive. Driven by the apparently competing pressures of cost and agility, RBS used MongoDB to build a common enterprise data fabric which is underpinning several core trading platforms. In this session, you will learn how RBS has successfully integrated MongoDB into a wider Java-based architecture, built with a strong open source bias.
This document outlines Mitch Pirtle's presentation on setting up Elasticsearch in the cloud. The presentation discusses Mitch's early experiences with Elasticsearch and how he initially wanted a simple web crawler but found Elasticsearch difficult to set up locally. It then covers various approaches to deploying Elasticsearch in the cloud, including single instance deployments, clustered services, and using Amazon Elasticsearch Service. The presentation addresses the pros and cons of each approach and concludes by taking questions from the audience.
The document provides an overview of the speaker's experience with MongoDB and how it has evolved over time to meet growing data and usage demands. It discusses (1) how data storage needs changed from efficiency to throughput, (2) the proliferation of programming languages and object-relational mappers, and (3) MongoDB's features for sharding, clustering, and storing data as JSON documents to address these challenges. The speaker emphasizes leaving behind the 3NF data model and that atomicity is at the document level with MongoDB.
This document summarizes Mitch Pirtle's talk at the International PHP Conference in Berlin 2014 about cloud deployment tools and scenarios. The talk provided an overview of different cloud approaches like self-hosted machines, virtual machines, and virtualized services. It then discussed various tools for dependencies, builds, front-end work, continuous integration, and deployment to the cloud, including Composer, Phing, Grunt, Bower, Travis, Jenkins, Ubuntu Juju, OpenShift, and PHP Cloud. The talk concluded with looking at the current state of PHP deployment in the cloud.
This document summarizes a talk on Node.js, MongoDB, and how they can be used together. It introduces Node.js as a JavaScript-based and asynchronous framework that is very fast. It also discusses MongoDB and some popular stacks that combine the two like MEAN. The talk acknowledges that the asynchronous nature of Node.js can be difficult to grasp at first and that documentation is sometimes outdated or broken. It concludes by thanking the audience and providing ways to contact the speaker.
This document summarizes Mitch Pirtle's talk about MongoDB at the jsDay 2014 conference in Verona, Italy. The talk included: an introduction to MongoDB and how it addresses the limitations of relational databases for modern web applications; a demonstration of the MongoDB console; stories about how a company successfully used MongoDB, including increased performance and faster development; and warnings about potential issues like not updating data when changing schemas and not planning for operational impacts like backups.
My talk at MongoTorino about how the use of MongoDB empowers your development teams, as well as tips and tricks to get around common pitfalls (and not so common challenges).
The document summarizes the agenda for the MongoTorino 2013 conference. It includes 10 talks on various topics related to MongoDB such as using MongoDB with a REST API, GridFS for file storage, capacity planning, and data processing/aggregation. The talks are given by experts in their fields and cover both technical aspects and case studies on implementing MongoDB.
Data as Documents: Overview and intro to MongoDBMitch Pirtle
This is from my talk at BigDive in Turin, Italy 2013. The talk is generally about databases and how we evolved to where we are. There is a lot of command line stuff that is not shown here though - this is mostly for attendees for reference.
This is my deck from Cloud Conference Torino 2013 (http://www.cloudconf.it). I was the post-lunch speaker, so this one is more silly and there was a lot of off-deck riffing, so this is here only for posterity.
I initially planned to speak on cloud-specific stuff, this turned into an intro to MongoDB though.
This is the deck from my talk at JoomlaDay Italia 2012 in Turin. If it is not clear by the slides alone, I'm trying to generate interest and volunteers to see this integrated into the core.
The document discusses GridFS, a specification for storing and retrieving files that are larger than the BSON-document size limit of 16MB in MongoDB. It describes how GridFS stores file data as fragments in collections and uses a separate collection to store metadata like filename, content type, and hash. This allows files to be retrieved or streamed similarly to a standard file system while taking advantage of MongoDB's features like sharding and replication. Benefits of GridFS over traditional storage methods include network access, scalability, reliability, and storing metadata that enables additional reporting and analytics capabilities.
The document contains a summary of a presentation by Mitch Pirtle about Joomla!. Some key points:
- Mitch Pirtle is the founder of Joomla! and OSM. He moved from New York to Torino, Italy in 2011.
- He discusses how Joomla! can benefit different groups like developers, designers, entrepreneurs and freelancers.
- For each group, Joomla! provides opportunities like instant websites, access to a large ecosystem of extensions and developers, and additional marketing opportunities.
This document summarizes Mitch Pirtle's presentation on Joomla! extreme performance. The presentation covered assessing performance from all aspects including server output, network throughput, and browser footprint. It provided tips on establishing a performance baseline, optimizing server output through caching and tuning, improving network throughput with gzipping and CDNs, and reducing browser footprint by consolidating assets and removing inline styling. It also addressed scaling issues and tools for debugging performance problems.
Mongodb and Totsy - E-commerce Case StudyMitch Pirtle
Deck from MongoChicago, providing a case study on the implementation of the totsy.com website using MongoDB and the Lithium framework.
There's a video you can watch of the same presentation from the Mongo Boston event which happened one month earlier:
http://www.10gen.com/video/mongoboston2010/totsy
Presentation from CMSExpo in Chicago, May 2010. This was an intro to MongoDB and a bit of a repeat performance from the MongoSF presentation "MongoDB and CMS."
Quick 30 minute session on MongoDB and Content Management Systems. Primarily covers PHP based platforms as they are the most common, however also references RoR and others.
Role of Data Annotation Services in AI-Powered ManufacturingAndrew Leo
From predictive maintenance to robotic automation, AI is driving the future of manufacturing. But without high-quality annotated data, even the smartest models fall short.
Discover how data annotation services are powering accuracy, safety, and efficiency in AI-driven manufacturing systems.
Precision in data labeling = Precision on the production floor.
AI Changes Everything – Talk at Cardiff Metropolitan University, 29th April 2...Alan Dix
Talk at the final event of Data Fusion Dynamics: A Collaborative UK-Saudi Initiative in Cybersecurity and Artificial Intelligence funded by the British Council UK-Saudi Challenge Fund 2024, Cardiff Metropolitan University, 29th April 2025
https://alandix.com/academic/talks/CMet2025-AI-Changes-Everything/
Is AI just another technology, or does it fundamentally change the way we live and think?
Every technology has a direct impact with micro-ethical consequences, some good, some bad. However more profound are the ways in which some technologies reshape the very fabric of society with macro-ethical impacts. The invention of the stirrup revolutionised mounted combat, but as a side effect gave rise to the feudal system, which still shapes politics today. The internal combustion engine offers personal freedom and creates pollution, but has also transformed the nature of urban planning and international trade. When we look at AI the micro-ethical issues, such as bias, are most obvious, but the macro-ethical challenges may be greater.
At a micro-ethical level AI has the potential to deepen social, ethnic and gender bias, issues I have warned about since the early 1990s! It is also being used increasingly on the battlefield. However, it also offers amazing opportunities in health and educations, as the recent Nobel prizes for the developers of AlphaFold illustrate. More radically, the need to encode ethics acts as a mirror to surface essential ethical problems and conflicts.
At the macro-ethical level, by the early 2000s digital technology had already begun to undermine sovereignty (e.g. gambling), market economics (through network effects and emergent monopolies), and the very meaning of money. Modern AI is the child of big data, big computation and ultimately big business, intensifying the inherent tendency of digital technology to concentrate power. AI is already unravelling the fundamentals of the social, political and economic world around us, but this is a world that needs radical reimagining to overcome the global environmental and human challenges that confront us. Our challenge is whether to let the threads fall as they may, or to use them to weave a better future.
HCL Nomad Web – Best Practices and Managing Multiuser Environmentspanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-nomad-web-best-practices-and-managing-multiuser-environments/
HCL Nomad Web is heralded as the next generation of the HCL Notes client, offering numerous advantages such as eliminating the need for packaging, distribution, and installation. Nomad Web client upgrades will be installed “automatically” in the background. This significantly reduces the administrative footprint compared to traditional HCL Notes clients. However, troubleshooting issues in Nomad Web present unique challenges compared to the Notes client.
Join Christoph and Marc as they demonstrate how to simplify the troubleshooting process in HCL Nomad Web, ensuring a smoother and more efficient user experience.
In this webinar, we will explore effective strategies for diagnosing and resolving common problems in HCL Nomad Web, including
- Accessing the console
- Locating and interpreting log files
- Accessing the data folder within the browser’s cache (using OPFS)
- Understand the difference between single- and multi-user scenarios
- Utilizing Client Clocking
The Evolution of Meme Coins A New Era for Digital Currency ppt.pdfAbi john
Analyze the growth of meme coins from mere online jokes to potential assets in the digital economy. Explore the community, culture, and utility as they elevate themselves to a new era in cryptocurrency.
Linux Support for SMARC: How Toradex Empowers Embedded DevelopersToradex
Toradex brings robust Linux support to SMARC (Smart Mobility Architecture), ensuring high performance and long-term reliability for embedded applications. Here’s how:
• Optimized Torizon OS & Yocto Support – Toradex provides Torizon OS, a Debian-based easy-to-use platform, and Yocto BSPs for customized Linux images on SMARC modules.
• Seamless Integration with i.MX 8M Plus and i.MX 95 – Toradex SMARC solutions leverage NXP’s i.MX 8 M Plus and i.MX 95 SoCs, delivering power efficiency and AI-ready performance.
• Secure and Reliable – With Secure Boot, over-the-air (OTA) updates, and LTS kernel support, Toradex ensures industrial-grade security and longevity.
• Containerized Workflows for AI & IoT – Support for Docker, ROS, and real-time Linux enables scalable AI, ML, and IoT applications.
• Strong Ecosystem & Developer Support – Toradex offers comprehensive documentation, developer tools, and dedicated support, accelerating time-to-market.
With Toradex’s Linux support for SMARC, developers get a scalable, secure, and high-performance solution for industrial, medical, and AI-driven applications.
Do you have a specific project or application in mind where you're considering SMARC? We can help with Free Compatibility Check and help you with quick time-to-market
For more information: https://www.toradex.com/computer-on-modules/smarc-arm-family
How Can I use the AI Hype in my Business Context?Daniel Lehner
𝙄𝙨 𝘼𝙄 𝙟𝙪𝙨𝙩 𝙝𝙮𝙥𝙚? 𝙊𝙧 𝙞𝙨 𝙞𝙩 𝙩𝙝𝙚 𝙜𝙖𝙢𝙚 𝙘𝙝𝙖𝙣𝙜𝙚𝙧 𝙮𝙤𝙪𝙧 𝙗𝙪𝙨𝙞𝙣𝙚𝙨𝙨 𝙣𝙚𝙚𝙙𝙨?
Everyone’s talking about AI but is anyone really using it to create real value?
Most companies want to leverage AI. Few know 𝗵𝗼𝘄.
✅ What exactly should you ask to find real AI opportunities?
✅ Which AI techniques actually fit your business?
✅ Is your data even ready for AI?
If you’re not sure, you’re not alone. This is a condensed version of the slides I presented at a Linkedin webinar for Tecnovy on 28.04.2025.
Generative Artificial Intelligence (GenAI) in BusinessDr. Tathagat Varma
My talk for the Indian School of Business (ISB) Emerging Leaders Program Cohort 9. In this talk, I discussed key issues around adoption of GenAI in business - benefits, opportunities and limitations. I also discussed how my research on Theory of Cognitive Chasms helps address some of these issues
TrustArc Webinar: Consumer Expectations vs Corporate Realities on Data Broker...TrustArc
Most consumers believe they’re making informed decisions about their personal data—adjusting privacy settings, blocking trackers, and opting out where they can. However, our new research reveals that while awareness is high, taking meaningful action is still lacking. On the corporate side, many organizations report strong policies for managing third-party data and consumer consent yet fall short when it comes to consistency, accountability and transparency.
This session will explore the research findings from TrustArc’s Privacy Pulse Survey, examining consumer attitudes toward personal data collection and practical suggestions for corporate practices around purchasing third-party data.
Attendees will learn:
- Consumer awareness around data brokers and what consumers are doing to limit data collection
- How businesses assess third-party vendors and their consent management operations
- Where business preparedness needs improvement
- What these trends mean for the future of privacy governance and public trust
This discussion is essential for privacy, risk, and compliance professionals who want to ground their strategies in current data and prepare for what’s next in the privacy landscape.
Special Meetup Edition - TDX Bengaluru Meetup #52.pptxshyamraj55
We’re bringing the TDX energy to our community with 2 power-packed sessions:
🛠️ Workshop: MuleSoft for Agentforce
Explore the new version of our hands-on workshop featuring the latest Topic Center and API Catalog updates.
📄 Talk: Power Up Document Processing
Dive into smart automation with MuleSoft IDP, NLP, and Einstein AI for intelligent document workflows.
DevOpsDays Atlanta 2025 - Building 10x Development Organizations.pptxJustin Reock
Building 10x Organizations with Modern Productivity Metrics
10x developers may be a myth, but 10x organizations are very real, as proven by the influential study performed in the 1980s, ‘The Coding War Games.’
Right now, here in early 2025, we seem to be experiencing YAPP (Yet Another Productivity Philosophy), and that philosophy is converging on developer experience. It seems that with every new method we invent for the delivery of products, whether physical or virtual, we reinvent productivity philosophies to go alongside them.
But which of these approaches actually work? DORA? SPACE? DevEx? What should we invest in and create urgency behind today, so that we don’t find ourselves having the same discussion again in a decade?
Big Data Analytics Quick Research Guide by Arthur MorganArthur Morgan
This is a Quick Research Guide (QRG).
QRGs include the following:
- A brief, high-level overview of the QRG topic.
- A milestone timeline for the QRG topic.
- Links to various free online resource materials to provide a deeper dive into the QRG topic.
- Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic.
QRGs planned for the series:
- Artificial Intelligence QRG
- Quantum Computing QRG
- Big Data Analytics QRG
- Spacecraft Guidance, Navigation & Control QRG (coming 2026)
- UK Home Computing & The Birth of ARM QRG (coming 2027)
Any questions or comments?
- Please contact Arthur Morgan at [email protected].
100% human made.
Quantum Computing Quick Research Guide by Arthur MorganArthur Morgan
This is a Quick Research Guide (QRG).
QRGs include the following:
- A brief, high-level overview of the QRG topic.
- A milestone timeline for the QRG topic.
- Links to various free online resource materials to provide a deeper dive into the QRG topic.
- Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic.
QRGs planned for the series:
- Artificial Intelligence QRG
- Quantum Computing QRG
- Big Data Analytics QRG
- Spacecraft Guidance, Navigation & Control QRG (coming 2026)
- UK Home Computing & The Birth of ARM QRG (coming 2027)
Any questions or comments?
- Please contact Arthur Morgan at [email protected].
100% human made.
Dev Dives: Automate and orchestrate your processes with UiPath MaestroUiPathCommunity
This session is designed to equip developers with the skills needed to build mission-critical, end-to-end processes that seamlessly orchestrate agents, people, and robots.
📕 Here's what you can expect:
- Modeling: Build end-to-end processes using BPMN.
- Implementing: Integrate agentic tasks, RPA, APIs, and advanced decisioning into processes.
- Operating: Control process instances with rewind, replay, pause, and stop functions.
- Monitoring: Use dashboards and embedded analytics for real-time insights into process instances.
This webinar is a must-attend for developers looking to enhance their agentic automation skills and orchestrate robust, mission-critical processes.
👨🏫 Speaker:
Andrei Vintila, Principal Product Manager @UiPath
This session streamed live on April 29, 2025, 16:00 CET.
Check out all our upcoming Dev Dives sessions at https://community.uipath.com/dev-dives-automation-developer-2025/.
UiPath Community Berlin: Orchestrator API, Swagger, and Test Manager APIUiPathCommunity
Join this UiPath Community Berlin meetup to explore the Orchestrator API, Swagger interface, and the Test Manager API. Learn how to leverage these tools to streamline automation, enhance testing, and integrate more efficiently with UiPath. Perfect for developers, testers, and automation enthusiasts!
📕 Agenda
Welcome & Introductions
Orchestrator API Overview
Exploring the Swagger Interface
Test Manager API Highlights
Streamlining Automation & Testing with APIs (Demo)
Q&A and Open Discussion
Perfect for developers, testers, and automation enthusiasts!
👉 Join our UiPath Community Berlin chapter: https://community.uipath.com/berlin/
This session streamed live on April 29, 2025, 18:00 CET.
Check out all our upcoming UiPath Community sessions at https://community.uipath.com/events/.