Heard about Function as a Service or FAAS? Here's an overview of what AWS Lambdas are and how it helped Oath. We also review external use cases of FAAS.
Ember develops Zigbee wireless technology chips and implements one of the best Zigbee standards. While giving up some intellectual property, joining the Zigbee standard allows Ember access to larger OEM customers. Ember partners with Chipcon to share chip design costs, lowering costs to $1 per node. Ember competes successfully against TI, Freescale and Zensys by having products that work well, winning 75% of sales. Ember focuses on the growing utility home energy monitoring market as this niche grows, branding itself as a green energy solution provider. Looking forward, the challenges of competing in standards-based industries will be discussed in class.
Enterprise Architecture in Practice: from Datastore to APIs and AppsWSO2
This document provides an overview of enterprise architecture and integration challenges. It discusses the evolution from client-server to peer-to-peer architectures and common integration problems. The document outlines approaches to solving integration problems including getting data to and from systems, focusing on predictable outcomes through standards and best practices, and developing iteratively. It then provides an example approach involving starting with both data and APIs/apps, testing initial plans, facilitating data access, designing interfaces for users and third parties, and connecting different technologies while avoiding over-engineering solutions. The document promotes the WSO2 integration platform as offering open source products for connecting systems but notes there is no single best solution and the unexpected will occur.
Rich Dietz presented on getting started with the nonprofit cloud. He defined the cloud as computing resources delivered as an internet-accessible service. Some key advantages of the cloud include lower costs, availability from anywhere, scalability, and improved sharing and collaboration. Potential disadvantages include less control, reliance on an internet connection and cloud provider, and security concerns. Dietz recommended nonprofits start with the cloud by testing one area like email or backups, research vendors thoroughly, and ensure proper training.
Chris Heilmann gave a talk at BTConf in Munich in January 2018 about machine learning, automation worries, and coding. He discussed how coding used to refer to creative programming within technical limitations but now often refers to programming for work. He addressed common worries about new technologies and dependencies, and argued that abstractions are not inherently bad and help more people build products together through consensus. The talk focused on using tools to be more productive and enabling rather than seeing them as dangers, and creating solutions for users rather than fighting old approaches.
DSD-INT 2016 My Deltares - Compute As A Service Cloud computing and HPC - LeupeDeltares
Nerdalize builds a sustainable cloud platform by using excess computing power to heat homes, reducing energy costs. Its MyDeltares CaaS platform provides software users freedom of choice among multiple cloud providers while ensuring the best price and performance. It addresses common questions about testing compute jobs, accessing clouds, choosing providers, avoiding vendor lock-in, integrating on-premise servers, and managing costs. The platform allows deploying simulations on any cloud through a single interface and budgets project costs upfront so they are known before projects start.
1) Learn about Myplanet's Headless CMS solution using Gatsby Preview and Contentful’s UI Extensions (https://www.contentful.com/resources/serverless/)
2) their Serverless project with IBM - using Apache OpenWhisk (https://www.ibm.com/cloud/functions)
3) how Myplanet got involved with AWS DeepRacer - a fun way to get started with Reinforcement Learning (RL), and their racing experience at re:Invent DeepRacer League (https://reinvent.awsevents.com/learn/deepracer/)
4) their Machine Learning (ML) research related to finding DeepRacer’s ideal line (https://medium.com/myplanet-musings/the-best-path-a-deepracer-can-learn-2a468a3f6d64).
BONUS: Two TED Talks referenced in the intro
5) When ideas have sex | Matt Ridley | Jul 14, 2010 https://www.ted.com/talks/matt_ridley_when_ideas_have_sex
6) Why The Best Leaders Make Love The Top Priority | Matt Tenney | Dec 5, 2019 https://www.youtube.com/watch?v=qCVoohdyI6I
VIDEO: https://youtu.be/ZH1xxmBNx5k
The document discusses content management systems (CMS) and bespoke website solutions. It provides information on what a CMS is and when they are needed. It then discusses bespoke CMS solutions, how they work, example websites, and factors to consider like costs and choosing a supplier. The document also summarizes open source CMS options, what open source means, common pros and cons, and how to choose the right open source solution.
Intuition is now a science - How Spark enables an advanced Predictive Analyti...Donal Daly
Singularities are developing a SaaS application focused on Business Analysts to enable them to really know their customer. In this presentation we discuss why we chose Spark over Flink. How we leverage a Lambda architecture with Spark to make the most efficient (and cost competitive) use of hosted resources. Our evolution of using different Machine Learning algorithms and how and why we use FP-growth from Spark MLlib today. Our plans to incorporate additional Machine Learning algorithms and Zeppelin will be presented. We are running on Spark 1.6
Ember develops Zigbee wireless technology chips and implements one of the best Zigbee standards. While giving up some intellectual property, joining the Zigbee standard allows Ember access to larger OEM customers. Ember partners with Chipcon to share chip design costs, lowering costs to $1 per node. Ember competes successfully against TI, Freescale and Zensys by having products that work well, winning 75% of sales. Ember focuses on the growing utility home energy monitoring market as this niche grows, branding itself as a green energy solution provider. Looking forward, the challenges of competing in standards-based industries will be discussed in class.
Enterprise Architecture in Practice: from Datastore to APIs and AppsWSO2
This document provides an overview of enterprise architecture and integration challenges. It discusses the evolution from client-server to peer-to-peer architectures and common integration problems. The document outlines approaches to solving integration problems including getting data to and from systems, focusing on predictable outcomes through standards and best practices, and developing iteratively. It then provides an example approach involving starting with both data and APIs/apps, testing initial plans, facilitating data access, designing interfaces for users and third parties, and connecting different technologies while avoiding over-engineering solutions. The document promotes the WSO2 integration platform as offering open source products for connecting systems but notes there is no single best solution and the unexpected will occur.
Rich Dietz presented on getting started with the nonprofit cloud. He defined the cloud as computing resources delivered as an internet-accessible service. Some key advantages of the cloud include lower costs, availability from anywhere, scalability, and improved sharing and collaboration. Potential disadvantages include less control, reliance on an internet connection and cloud provider, and security concerns. Dietz recommended nonprofits start with the cloud by testing one area like email or backups, research vendors thoroughly, and ensure proper training.
Chris Heilmann gave a talk at BTConf in Munich in January 2018 about machine learning, automation worries, and coding. He discussed how coding used to refer to creative programming within technical limitations but now often refers to programming for work. He addressed common worries about new technologies and dependencies, and argued that abstractions are not inherently bad and help more people build products together through consensus. The talk focused on using tools to be more productive and enabling rather than seeing them as dangers, and creating solutions for users rather than fighting old approaches.
DSD-INT 2016 My Deltares - Compute As A Service Cloud computing and HPC - LeupeDeltares
Nerdalize builds a sustainable cloud platform by using excess computing power to heat homes, reducing energy costs. Its MyDeltares CaaS platform provides software users freedom of choice among multiple cloud providers while ensuring the best price and performance. It addresses common questions about testing compute jobs, accessing clouds, choosing providers, avoiding vendor lock-in, integrating on-premise servers, and managing costs. The platform allows deploying simulations on any cloud through a single interface and budgets project costs upfront so they are known before projects start.
1) Learn about Myplanet's Headless CMS solution using Gatsby Preview and Contentful’s UI Extensions (https://www.contentful.com/resources/serverless/)
2) their Serverless project with IBM - using Apache OpenWhisk (https://www.ibm.com/cloud/functions)
3) how Myplanet got involved with AWS DeepRacer - a fun way to get started with Reinforcement Learning (RL), and their racing experience at re:Invent DeepRacer League (https://reinvent.awsevents.com/learn/deepracer/)
4) their Machine Learning (ML) research related to finding DeepRacer’s ideal line (https://medium.com/myplanet-musings/the-best-path-a-deepracer-can-learn-2a468a3f6d64).
BONUS: Two TED Talks referenced in the intro
5) When ideas have sex | Matt Ridley | Jul 14, 2010 https://www.ted.com/talks/matt_ridley_when_ideas_have_sex
6) Why The Best Leaders Make Love The Top Priority | Matt Tenney | Dec 5, 2019 https://www.youtube.com/watch?v=qCVoohdyI6I
VIDEO: https://youtu.be/ZH1xxmBNx5k
The document discusses content management systems (CMS) and bespoke website solutions. It provides information on what a CMS is and when they are needed. It then discusses bespoke CMS solutions, how they work, example websites, and factors to consider like costs and choosing a supplier. The document also summarizes open source CMS options, what open source means, common pros and cons, and how to choose the right open source solution.
Intuition is now a science - How Spark enables an advanced Predictive Analyti...Donal Daly
Singularities are developing a SaaS application focused on Business Analysts to enable them to really know their customer. In this presentation we discuss why we chose Spark over Flink. How we leverage a Lambda architecture with Spark to make the most efficient (and cost competitive) use of hosted resources. Our evolution of using different Machine Learning algorithms and how and why we use FP-growth from Spark MLlib today. Our plans to incorporate additional Machine Learning algorithms and Zeppelin will be presented. We are running on Spark 1.6
Lokesh Bhogte has over 8 years of experience working in IT and currently works with Palo IT Singapore on a message-driven data integration platform. He will discuss alternate designs for high-performance transactional systems using Spring, comparing the ORM and pure Spring frameworks in terms of complexity, simplicity, and performance for data-driven applications.
A Connector, A Container and an API Walk Into a Bar: The Programmable World 3scale
This document discusses the programmable world of APIs, containers, and hardware and some concerns about security, unexpected behaviors, and societal impacts. It proposes four principles for developing technology responsibly: continuous improvement, graceful degradation, radical distribution, and focusing on components rather than just solutions. The conclusion is that technology provides huge opportunities but also responsibilities for professionals to change the world ethically.
How to build and run a big data platform in the 21st centuryAli Dasdan
The document provides an overview of big data platform architectures that have been built by various companies and organizations. It discusses self-built platforms from companies like Airbnb, Netflix, Facebook, Slack, and Uber. It also covers cloud-built platforms on IBM Cloud, Microsoft Azure, Google Cloud, and Amazon AWS. Consulting-built platforms from Cloudera and ThoughtWorks are presented. Finally, it introduces the NIST Big Data Reference Architecture as a standard reference model and discusses generic batch vs streaming architectures like Lambda and Kappa.
Cloud computing allows businesses to take advantage of elastic, on-demand computing resources and pay only for what they use. It provides businesses with cost savings, flexibility, scalability and high availability compared to maintaining their own on-premise IT infrastructure. The document discusses various cloud computing services including compute, storage, databases and others. It provides examples of how businesses can use these services to scale their operations more efficiently. Finally, it addresses some common concerns around security and privacy when using cloud platforms.
How the Linux Foundation Standards for Compliance and Security will Fix Your ...Shane Coughlan
This document discusses open source and society. It argues that while open source has enabled technological progress, it has not solved all of society's problems on its own. Engineers tend to focus on functional problems, but society faces other challenges like access, equality and opportunity that require political solutions beyond just technology or licenses. The document encourages focusing on continuous improvement through standards and processes to make incremental progress on these issues. It highlights how standards like OpenChain help bring more predictability and visibility to software supply chains.
This document discusses innovation and principles for supporting innovation. It outlines an agenda covering what innovation means, innovation principles, and how Rational software can support innovation. Specifically, it introduces a new "token licensing" model that Rational has developed, which provides more flexibility than traditional licensing and aims to simplify licensing, reduce costs over time, and protect customers' investments in Rational tools. The token licensing model allows customers to access Rational's full portfolio and mix different products in real-time as needs change.
Top 5 Mistakes You Don’t Want to Make When Moving to the CloudInternap
This document discusses 5 common mistakes companies make when moving applications to the cloud. The mistakes are: 1) Leaping before looking at factors like performance, compliance, and availability. 2) Thinking a company has found the perfect cloud provider and not ensuring portability. 3) Assuming applications will easily fit different cloud platforms without considering complexity. 4) Believing future needs will match current cloud use without planning for potential growth. 5) Failing to optimize applications and leverage full cloud capabilities like horizontal scalability. The document urges careful planning and consideration of key factors related to each application and future needs.
Data Workflows for Machine Learning - Seattle DAMLPaco Nathan
First public meetup at Twitter Seattle, for Seattle DAML:
http://www.meetup.com/Seattle-DAML/events/159043422/
We compare/contrast several open source frameworks which have emerged for Machine Learning workflows, including KNIME, IPython Notebook and related Py libraries, Cascading, Cascalog, Scalding, Summingbird, Spark/MLbase, MBrace on .NET, etc. The analysis develops several points for "best of breed" and what features would be great to see across the board for many frameworks... leading up to a "scorecard" to help evaluate different alternatives. We also review the PMML standard for migrating predictive models, e.g., from SAS to Hadoop.
"You don't need a bigger boat": serverless MLOps for reasonable companiesData Science Milan
It is indeed a wonderful time to build machine learning systems, as the growing ecosystems of tools and shared best practices make even small teams incredibly productive at scale. In this talk, we present our philosophy for modern, no-nonsense data pipelines, highlighting the advantages of a (almost) pure serverless and open-source approach, and showing how the entire toolchain works - from raw data to model serving - on a real-world dataset.
Finally, we argue that the crucial component for analyzing data pipelines is not the model per se, but the surrounding DAG, and present our proposal for producing automated "DAG cards" from Metaflow classes.
Bio:
Jacopo Tagliabue was co-founder and CTO of Tooso, an A.I. company in San Francisco acquired by Coveo in 2019. Jacopo is currently the Lead A.I. Scientist at Coveo. When not busy building A.I. products, he is exploring research topics at the intersection of language, reasoning and learning, with several publications at major conferences (e.g. WWW, SIGIR, RecSys, NAACL). In previous lives, he managed to get a Ph.D., do scienc-y things for a pro basketball team, and simulate a pre-Columbian civilization.
Topics: MLOps, Metaflow, model cards.
[DF2U] Data Management: There’s gold in them detailsJoshua Hoskins
Learn about the different options and approaches that are available and why the right approach to data integration is critical to Salesforce succes.
Presented by Informatica
http://df2u-fl.eventbrite.com/
Alexandra Deschamps-Sonsino discusses the practicalities, politics, and ethics of obtaining data through internet of things devices. There are three layers to obtaining data: embedding computers onto things, connecting things to networks, and managing data collection. Challenges include choosing how much to embed computers, ensuring reliable connectivity, and determining how to capture and analyze data. Data use also involves political considerations like whether an organization functions as a tech company. Ethical issues involve workplace impacts, environmental impacts, and responsible data management practices.
The document discusses content management systems (CMS) and open source CMS options. It provides information on bespoke CMS solutions, including why organizations choose them, how they work, and factors to consider like costs. It also summarizes common open source CMS like WordPress and Joomla, pros and cons of open source, and how to choose the right open source option for your needs. Popular sites that use open source CMS are listed.
This document discusses moving a company's network to the cloud. It begins with an introduction letter from the author, Leia Shilobod, CEO of InTech Solutions, explaining that the report will provide unbiased information about moving to the cloud. The report then defines cloud computing and compares it to the historical evolution of electricity as a public utility. It notes that cloud computing allows businesses to access computing power like a utility at low monthly costs without hosting infrastructure on-site. The report outlines pros and cons of moving to the cloud and promises to answer critical questions businesses should consider before making the transition.
This document summarizes a presentation given by Damian Hamilton on driving business transformation with cloud. It discusses how cloud computing can improve business efficiency through standardization, virtualization, and automation. Cloud services allow businesses to optimize their assets and reduce costs. The presentation outlines the benefits of cloud computing and how HP can help companies plan and implement cloud solutions to transform their businesses.
The e-commerce is one of the main points of modern software. The e-commerce sector is growing about 15% annually, which is why it deserves special attention from software engineers. Speaking of e-commerce and open source at once is not easy. For many years we have identified the concept with pain and despair, so we must work urgently to change the way we understand it should be. What are the important points to consider? Where do we find the line between architecture and pragmatism? Are we walking in the right direction? How can Symfony help in this?
Webinar | So You Think You Know the Cloud: Hosting Alternatives You May Not K...Peak Hosting
Link to webinar recording: http://bit.ly/1ywRoPs
In this webinar, Jeffrey Papen, Founder and CEO of Peak Hosting, will guide you through the different hosting options available, sharing the pros and cons of each so you can make an informed decision that works for your business.
All in AI: LLM Landscape & RAG in 2024 with Mark Ryan (Google) & Jerry Liu (L...Daniel Zivkovic
Serverless Toronto's 6th-anniversary event helps IT pros understand and prepare for the #GenAI tsunami ahead. You'll gain situational awareness of the LLM Landscape, receive condensed insights, and actionable advice about RAG in 2024 from Google AI Lead Mark Ryan and LlamaIndex creator Jerry Liu. We chose #RAG (Retrieval-Augmented Generation) because it is the predominant paradigm for building #LLM (Large Language Model) applications in enterprises today - and that's where the jobs will be shifting. Here is the recording: https://youtu.be/P5xd1ZjD-Os?si=iq8xibj5pJsJ62oW
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Lokesh Bhogte has over 8 years of experience working in IT and currently works with Palo IT Singapore on a message-driven data integration platform. He will discuss alternate designs for high-performance transactional systems using Spring, comparing the ORM and pure Spring frameworks in terms of complexity, simplicity, and performance for data-driven applications.
A Connector, A Container and an API Walk Into a Bar: The Programmable World 3scale
This document discusses the programmable world of APIs, containers, and hardware and some concerns about security, unexpected behaviors, and societal impacts. It proposes four principles for developing technology responsibly: continuous improvement, graceful degradation, radical distribution, and focusing on components rather than just solutions. The conclusion is that technology provides huge opportunities but also responsibilities for professionals to change the world ethically.
How to build and run a big data platform in the 21st centuryAli Dasdan
The document provides an overview of big data platform architectures that have been built by various companies and organizations. It discusses self-built platforms from companies like Airbnb, Netflix, Facebook, Slack, and Uber. It also covers cloud-built platforms on IBM Cloud, Microsoft Azure, Google Cloud, and Amazon AWS. Consulting-built platforms from Cloudera and ThoughtWorks are presented. Finally, it introduces the NIST Big Data Reference Architecture as a standard reference model and discusses generic batch vs streaming architectures like Lambda and Kappa.
Cloud computing allows businesses to take advantage of elastic, on-demand computing resources and pay only for what they use. It provides businesses with cost savings, flexibility, scalability and high availability compared to maintaining their own on-premise IT infrastructure. The document discusses various cloud computing services including compute, storage, databases and others. It provides examples of how businesses can use these services to scale their operations more efficiently. Finally, it addresses some common concerns around security and privacy when using cloud platforms.
How the Linux Foundation Standards for Compliance and Security will Fix Your ...Shane Coughlan
This document discusses open source and society. It argues that while open source has enabled technological progress, it has not solved all of society's problems on its own. Engineers tend to focus on functional problems, but society faces other challenges like access, equality and opportunity that require political solutions beyond just technology or licenses. The document encourages focusing on continuous improvement through standards and processes to make incremental progress on these issues. It highlights how standards like OpenChain help bring more predictability and visibility to software supply chains.
This document discusses innovation and principles for supporting innovation. It outlines an agenda covering what innovation means, innovation principles, and how Rational software can support innovation. Specifically, it introduces a new "token licensing" model that Rational has developed, which provides more flexibility than traditional licensing and aims to simplify licensing, reduce costs over time, and protect customers' investments in Rational tools. The token licensing model allows customers to access Rational's full portfolio and mix different products in real-time as needs change.
Top 5 Mistakes You Don’t Want to Make When Moving to the CloudInternap
This document discusses 5 common mistakes companies make when moving applications to the cloud. The mistakes are: 1) Leaping before looking at factors like performance, compliance, and availability. 2) Thinking a company has found the perfect cloud provider and not ensuring portability. 3) Assuming applications will easily fit different cloud platforms without considering complexity. 4) Believing future needs will match current cloud use without planning for potential growth. 5) Failing to optimize applications and leverage full cloud capabilities like horizontal scalability. The document urges careful planning and consideration of key factors related to each application and future needs.
Data Workflows for Machine Learning - Seattle DAMLPaco Nathan
First public meetup at Twitter Seattle, for Seattle DAML:
http://www.meetup.com/Seattle-DAML/events/159043422/
We compare/contrast several open source frameworks which have emerged for Machine Learning workflows, including KNIME, IPython Notebook and related Py libraries, Cascading, Cascalog, Scalding, Summingbird, Spark/MLbase, MBrace on .NET, etc. The analysis develops several points for "best of breed" and what features would be great to see across the board for many frameworks... leading up to a "scorecard" to help evaluate different alternatives. We also review the PMML standard for migrating predictive models, e.g., from SAS to Hadoop.
"You don't need a bigger boat": serverless MLOps for reasonable companiesData Science Milan
It is indeed a wonderful time to build machine learning systems, as the growing ecosystems of tools and shared best practices make even small teams incredibly productive at scale. In this talk, we present our philosophy for modern, no-nonsense data pipelines, highlighting the advantages of a (almost) pure serverless and open-source approach, and showing how the entire toolchain works - from raw data to model serving - on a real-world dataset.
Finally, we argue that the crucial component for analyzing data pipelines is not the model per se, but the surrounding DAG, and present our proposal for producing automated "DAG cards" from Metaflow classes.
Bio:
Jacopo Tagliabue was co-founder and CTO of Tooso, an A.I. company in San Francisco acquired by Coveo in 2019. Jacopo is currently the Lead A.I. Scientist at Coveo. When not busy building A.I. products, he is exploring research topics at the intersection of language, reasoning and learning, with several publications at major conferences (e.g. WWW, SIGIR, RecSys, NAACL). In previous lives, he managed to get a Ph.D., do scienc-y things for a pro basketball team, and simulate a pre-Columbian civilization.
Topics: MLOps, Metaflow, model cards.
[DF2U] Data Management: There’s gold in them detailsJoshua Hoskins
Learn about the different options and approaches that are available and why the right approach to data integration is critical to Salesforce succes.
Presented by Informatica
http://df2u-fl.eventbrite.com/
Alexandra Deschamps-Sonsino discusses the practicalities, politics, and ethics of obtaining data through internet of things devices. There are three layers to obtaining data: embedding computers onto things, connecting things to networks, and managing data collection. Challenges include choosing how much to embed computers, ensuring reliable connectivity, and determining how to capture and analyze data. Data use also involves political considerations like whether an organization functions as a tech company. Ethical issues involve workplace impacts, environmental impacts, and responsible data management practices.
The document discusses content management systems (CMS) and open source CMS options. It provides information on bespoke CMS solutions, including why organizations choose them, how they work, and factors to consider like costs. It also summarizes common open source CMS like WordPress and Joomla, pros and cons of open source, and how to choose the right open source option for your needs. Popular sites that use open source CMS are listed.
This document discusses moving a company's network to the cloud. It begins with an introduction letter from the author, Leia Shilobod, CEO of InTech Solutions, explaining that the report will provide unbiased information about moving to the cloud. The report then defines cloud computing and compares it to the historical evolution of electricity as a public utility. It notes that cloud computing allows businesses to access computing power like a utility at low monthly costs without hosting infrastructure on-site. The report outlines pros and cons of moving to the cloud and promises to answer critical questions businesses should consider before making the transition.
This document summarizes a presentation given by Damian Hamilton on driving business transformation with cloud. It discusses how cloud computing can improve business efficiency through standardization, virtualization, and automation. Cloud services allow businesses to optimize their assets and reduce costs. The presentation outlines the benefits of cloud computing and how HP can help companies plan and implement cloud solutions to transform their businesses.
The e-commerce is one of the main points of modern software. The e-commerce sector is growing about 15% annually, which is why it deserves special attention from software engineers. Speaking of e-commerce and open source at once is not easy. For many years we have identified the concept with pain and despair, so we must work urgently to change the way we understand it should be. What are the important points to consider? Where do we find the line between architecture and pragmatism? Are we walking in the right direction? How can Symfony help in this?
Webinar | So You Think You Know the Cloud: Hosting Alternatives You May Not K...Peak Hosting
Link to webinar recording: http://bit.ly/1ywRoPs
In this webinar, Jeffrey Papen, Founder and CEO of Peak Hosting, will guide you through the different hosting options available, sharing the pros and cons of each so you can make an informed decision that works for your business.
All in AI: LLM Landscape & RAG in 2024 with Mark Ryan (Google) & Jerry Liu (L...Daniel Zivkovic
Serverless Toronto's 6th-anniversary event helps IT pros understand and prepare for the #GenAI tsunami ahead. You'll gain situational awareness of the LLM Landscape, receive condensed insights, and actionable advice about RAG in 2024 from Google AI Lead Mark Ryan and LlamaIndex creator Jerry Liu. We chose #RAG (Retrieval-Augmented Generation) because it is the predominant paradigm for building #LLM (Large Language Model) applications in enterprises today - and that's where the jobs will be shifting. Here is the recording: https://youtu.be/P5xd1ZjD-Os?si=iq8xibj5pJsJ62oW
Similar to Using AWS Lambdas in the Real World (20)
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
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Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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2. Hi! My name is Eliot.
Are you a backend, frontend engineer, or some other cool
specialization?
Do you have any cloud experience?
Has anyone worked with Lambdas before?
2
Before We Start
3. Tell you about myself
Tell you about Oath
Tell you what I do at Oath
Explain Function as a Service
Challenges at Oath
Challenges others are facing
3
Goals
4. I’m a husband and a dad from Baltimore
I’m a Principal Architect at Oath
I’ve been with Ad.com, Aol, and Verizon for 11 years
I’m an inventor
After hours: Board Member, Advisor, Volunteer, and Mentor
4
About Me
11. 11
FaaS or Serverless Computing
You may hear people refer to Function as a Service or FAAS as Serverless. The core idea is that you are
not concerned about the hosting infrastructure. You only care about the function.
Source: https://blog.alexellis.io/introducing-functions-as-a-service/
A perspective of a thought leader on the topic.
17. 17
Use Case - Scheduled Jobs
A Pain Point - We had a lot idle hardware not being fully utilized
A Pro - Solution is cheaper than previous incarnation
A Con - This solution only worked on our cloud components
21. 21
Use Case - External Data
A Pain Point - Trouble communicating arrival of external data
A Pro - Didn’t touch the existing flow to increase communication
A Con - Easily becomes a one-off
24. 24
Use Case - Lookup API
A Pain Point - A customer needs data we don’t manage
A Pro - Very flexible and easy to setup
A Con - Becomes more infrastructure to manage
26. 26
Potential Pitfalls
We have many one-off Lambdas
Don’t treat a Lambda like a long lived process
Dependencies aren’t updated as much as other code
Security can be a challenge
32. 32
Use Case - Phone Tree
Does this cost less than other solutions?
33. 33
Use Case - Phone Tree
Source: http://www.costowl.com/b2b/call-center-autodialer-cost.html
Why is education so expensive? Stuff like this!
34. 34
Use Case - Phone Tree
A Pain Point - Some schools are plagued with this problem
A Pro - Alert parents on multiple channels with ease
A Con - A very custom solution
44. Use Case - Running
Functions in O & O DCs
Open FAAS give you an abstraction layer
You can run on existing hardware, public, or private cloud
I’m looking into this one in the future
45. 45
Cool Stuff to Check Out
Code in the Schools - Teaching Computer Science to kids
through gaming
Digital Harbor Foundation - Dedicated to fostering learning,
creativity, productivity, and community through education
Baltimore Robotics Center - Robots+Kids+STEM=Cool
Code for the Demo - Examples I walked through
46. 46
Thank you for your time!
I really do appreciate you taking the time to listen me. Do you
have any questions?