The document provides information about the IBM Storwize V5000 storage system. It highlights key benefits such as simplified management, flexible customization options, and boosted performance through optional Easy Tier technology. The Storwize V5000 offers flexible scaling from small to large configurations and standard software features to help manage storage environments.
Building an IoT Monitoring App with InfluxDB and LoRaInfluxData
The Internet of Things (IoT) is increasingly driven by sensor data, with devices taking measured actions based on everything from illumination intensity, temperature, and machinery performance to an ecosystem that creates networks, devices and solutions using LoRaWAN®.
In this session we will build a fully functional sample IoT monitoring application built on InfluxDB and powered by the Things Network, collecting sensor metrics from a LoRa device. We will then showcase core InfluxDB tools to query, visualize and generate alert notifications using a custom user interface.
In this workshop you will learn:
How to install and configure the InfluxDB VS code plugin
How to use Telegraf to receive data from the Things Network, and write that data to InfluxDB
How to query InfluxDB so that your app can visualize your IoT data within a custom Flask application
How to deploy a downsampling task in InfluxDB to “clean” and transform raw sensor data while also reducing overall storage costs
How to use InfluxDB’s powerful “Checks and Notifications” system to help you provide custom alerting to your users
Implementing an Application Security Pipeline in JenkinsSuman Sourav
Performing continuous security testing in a DevOps environment with short release cycles and a continuous delivery pipeline is a big challenge and the traditional secure SDLC model fails to deliver the desired results. DevOps understand the process of built, test and deploy. They have largely automated this process in a delivery pipeline, they deploy to production multiple times per day but the big challenge is how can they do this securely?
This session will focus on a strategy to build an application security pipeline in Jenkins, challenges and possible solutions, also how existing application security solutions (SAST, DAST, IAST, OpenSource Libraries Analysis) are playing a key role in growing the relationship between security and DevOps.
VMware vSphere vMotion: 5.4 times faster than Hyper-V Live MigrationVMware
Businesses using a virtualized infrastructure have many reasons to move active virtual machines (VMs) from one physical server to another. Whether the migrations are for routine maintenance, balancing performance needs, work distribution (consolidating VMs onto fewer servers during non-peak hours to conserve resources), or another reason, the best virtual infrastructure platform executes the move as quickly as possible and with minimal impact to end users.
We tested two competing features that move active VMs from one server to another, VMware vSphere 5 vMotion and Microsoft® Windows Server® 2008 R2 SP1 Hyper-V Live Migration. While both perform these moves with no VM downtime, in our testing the VMware solution did so faster, with greater application stability, and with less impact to application performance – clearly showing that not all live migration technologies are the same. VMware also holds an enormous advantage in concurrency: VMware vSphere 5 can move eight VMs at a time while a Microsoft Hyper-V cluster node can take part only as the source or destination in one live migration at a time. In our two test scenarios, the VMware vMotion solution was up to 5.4 times faster than the Microsoft Hyper-V Live Migration solution.
VMware vCloud® SuiteTM is a private cloud infrastructure solution based on VMware vSphere®. vCloud Suite allows IT to achieve cloud service provider economics in the data center, provision applications in minutes instead of weeks, and deliver the right availability and security for each application with policy-based governance. vCloud Suite is the first step for IT organizations towards the software- defined data center architecture. VMware also offers additional software-defined data center products that can further extend the capabilities of a vSphere private cloud environment.
Building an IoT Monitoring App with InfluxDB and LoRaInfluxData
The Internet of Things (IoT) is increasingly driven by sensor data, with devices taking measured actions based on everything from illumination intensity, temperature, and machinery performance to an ecosystem that creates networks, devices and solutions using LoRaWAN®.
In this session we will build a fully functional sample IoT monitoring application built on InfluxDB and powered by the Things Network, collecting sensor metrics from a LoRa device. We will then showcase core InfluxDB tools to query, visualize and generate alert notifications using a custom user interface.
In this workshop you will learn:
How to install and configure the InfluxDB VS code plugin
How to use Telegraf to receive data from the Things Network, and write that data to InfluxDB
How to query InfluxDB so that your app can visualize your IoT data within a custom Flask application
How to deploy a downsampling task in InfluxDB to “clean” and transform raw sensor data while also reducing overall storage costs
How to use InfluxDB’s powerful “Checks and Notifications” system to help you provide custom alerting to your users
Implementing an Application Security Pipeline in JenkinsSuman Sourav
Performing continuous security testing in a DevOps environment with short release cycles and a continuous delivery pipeline is a big challenge and the traditional secure SDLC model fails to deliver the desired results. DevOps understand the process of built, test and deploy. They have largely automated this process in a delivery pipeline, they deploy to production multiple times per day but the big challenge is how can they do this securely?
This session will focus on a strategy to build an application security pipeline in Jenkins, challenges and possible solutions, also how existing application security solutions (SAST, DAST, IAST, OpenSource Libraries Analysis) are playing a key role in growing the relationship between security and DevOps.
VMware vSphere vMotion: 5.4 times faster than Hyper-V Live MigrationVMware
Businesses using a virtualized infrastructure have many reasons to move active virtual machines (VMs) from one physical server to another. Whether the migrations are for routine maintenance, balancing performance needs, work distribution (consolidating VMs onto fewer servers during non-peak hours to conserve resources), or another reason, the best virtual infrastructure platform executes the move as quickly as possible and with minimal impact to end users.
We tested two competing features that move active VMs from one server to another, VMware vSphere 5 vMotion and Microsoft® Windows Server® 2008 R2 SP1 Hyper-V Live Migration. While both perform these moves with no VM downtime, in our testing the VMware solution did so faster, with greater application stability, and with less impact to application performance – clearly showing that not all live migration technologies are the same. VMware also holds an enormous advantage in concurrency: VMware vSphere 5 can move eight VMs at a time while a Microsoft Hyper-V cluster node can take part only as the source or destination in one live migration at a time. In our two test scenarios, the VMware vMotion solution was up to 5.4 times faster than the Microsoft Hyper-V Live Migration solution.
VMware vCloud® SuiteTM is a private cloud infrastructure solution based on VMware vSphere®. vCloud Suite allows IT to achieve cloud service provider economics in the data center, provision applications in minutes instead of weeks, and deliver the right availability and security for each application with policy-based governance. vCloud Suite is the first step for IT organizations towards the software- defined data center architecture. VMware also offers additional software-defined data center products that can further extend the capabilities of a vSphere private cloud environment.
Real-Life Use Cases & Architectures for Event Streaming with Apache KafkaKai Wähner
Streaming all over the World: Real-Life Use Cases & Architectures for Event Streaming with Apache Kafka.
Learn about various case studies for event streaming with Apache Kafka across industries. The talk explores architectures for real-world deployments from Audi, BMW, Disney, Generali, Paypal, Tesla, Unity, Walmart, William Hill, and more. Use cases include fraud detection, mainframe offloading, predictive maintenance, cybersecurity, edge computing, track&trace, live betting, and much more.
Nutanix se despacha en días, y su despliegue se realiza en menos de un día (realmente!)
Permite no interrumpir las operaciones en curso (reducción del 99,7% en los tiempos de inactividad no planificados)
Escala fácilmente - Añada capacidad cuando la necesite- No más sobre aprovisionamiento (el tiempo de despliegue es 85% más rápido)
Reduce el costo y la complejidad de su sistema de computación y almacenamiento - hasta un 90% de ahorro de energía y espacio
Todos sus sistemas gestionados a través de una interfaz de panel único (71% menos tiempo de gestión de un entorno Nutanix)
Proporciona capacidades avanzadas de almacenamiento de clase empresarial (Deduplicación, Compresión, etc.)
Soporte de Clase Mundial – 88 Net Promotor Score (El siguiente proveedor de tecnología más alta de la lista fue Intel- en un 53!)
Netflix Recommendations Using Spark + Cassandra (Prasanna Padmanabhan & Roopa...DataStax
Learning is an analytic process of exploring the past in order to predict the future. Hence, being able to travel back in time to create features is critical for machine learning projects to be successful. To enable this, we built a time machine that computes features for any arbitrary time in the recent past for offline experimentation. We also built a real-time stream processing system to capture the interests of members during different times of the day and to quickly adapt to changes in the collective interests of members as it happens in case of real-world events.
Building the time machine for offline experimentation and the real-time infrastructure for online recommendations with Apache Spark (Streaming) and Apache Cassandra empowered us to both scale up the data size by an order of magnitude and train and validate the models in less time. We will delve into the architecture, use case details, data models used for cassandra and share our learnings.
About the Speakers
Prasanna Padmanabhan Engineering Manager, Netflix
Prasanna leads the Data Systems for Personalization team at Netflix. His primary focus is on building various big data infrastructure components that help their algorithmic engineers to innovate faster and improve personalization for Netflix members. In the past, he has built distributed data systems that leverages both batch and stream processing.
Roopa Tangirala Engineering Manager, Netflix
Roopa Tangirala is an experienced engineering leader with extensive background in databases, be they distributed or relational. She manages the database engineering team at Netflix responsible for operating cloud persistent and semipersistent runtime stores for Netflix, which includes Cassandra, Elasticsearch, Dynomite and MySQL databases, by ensuring data availability, durability, and scalability to meet the growing business needs.
Architecture patterns for distributed, hybrid, edge and global Apache Kafka d...Kai Wähner
Architecture patterns for distributed, hybrid, edge and global Apache Kafka deployments
Multi-cluster and cross-data center deployments of Apache Kafka have become the norm rather than an exception. This session gives an overview of several scenarios that may require multi-cluster solutions and discusses real-world examples with their specific requirements and trade-offs, including disaster recovery, aggregation for analytics, cloud migration, mission-critical stretched deployments and global Kafka.
Key takeaways:
In many scenarios, one Kafka cluster is not enough. Understand different architectures and alternatives for multi-cluster deployments.
Zero data loss and high availability are two key requirements. Understand how to realize this, including trade-offs.
Learn about features and limitations of Kafka for multi cluster deployments
Global Kafka and mission-critical multi-cluster deployments with zero data loss and high availability became the normal, not an exception.
Data is being generated at rates never before encountered. The explosion of data threatens to consume all of our IT resources: People, budget, power, cooling and data center floor space. Are your systems coping with your data now? Will they continue to deliver as the stress on data centers increases and IT budgets dwindle?
Imagine if you could be ahead of the data explosion by being proactive about your storage instead of reactive. Now you can be, with NetApp's approach to the designs and deployment of storage systems. With it, you can take advantage of NetApp's latest storage enhancements and take control of your storage. This will allow you to focus on gathering more insights from your data and deliver more value to your business.
NetApp's most advanced storage solutions are NetApp Virtualization & scale out. By taking control of your existing storage platform with either solution, you get:
• Immortal Storage system
• Infinite scalability
• Best possible ROI from existing environment
IoT Architectures for a Digital Twin with Apache Kafka, IoT Platforms and Mac...Kai Wähner
A digital twin is a digital replica of a living or non-living physical entity. This session discusses the benefits and IoT architectures of a Digital Twin in Industrial IoT (IIoT) and its relation to Apache Kafka, IoT frameworks and Machine Learning. Kafka is often used as central event streaming platform to build a scalable and reliable digital twin for real time streaming sensor data. A live demo shows a scalable digital twin infrastructure for condition monitoring and predictive maintenance in real time for a connected car infrastructure leveraging Kafka, MQTT and TensorFlow.
Key Take-Aways:
• Learn about use cases and characteristics of a digital twin in various industries
• Understand how to build a digital twin for every single (of tens of thousands) IoT device or machine
• See different IoT architectures with Kafka and other IoT technologies and products, including edge, hybrid and global deployments
• Understand the relation to Machine Learning and bring added value to your IoT infrastructure by enabling use cases like predictive maintenance
• Understand how the Apache Kafka enables scalable and flexible end-to-end integration processing from IIoT data to various backend applications
• Watch a live demo of an end-to-end integration, real time processing and analytics of thousands of IoT devices
More details:
https://www.kai-waehner.de/blog/2019/11/28/apache-kafka-industrial-iot-iiot-build-an-open-scalable-reliable-digital-twin/
https://www.kai-waehner.de/blog/2020/03/25/architectures-digital-twin-digital-thread-apache-kafka-iot-platforms-machine-learning/
https://youtu.be/Q3eKPEVwNVY
VxRail Appliance - Modernize your infrastructure and accelerate IT transforma...Maichino Sepede
An overview of the VxRail Appliance, including what’s new with VxRail on the 14th generation PowerEdge server, and advancements in the VxRail 4.5 software.
A review of BestBuy.com's cloud architecture for its browse cloud. A description of what BestBuy.com has built to support a high scale, high availability ecommerce system.
Datadog: From a single product to a growing platform by Alexis Lê-Quôc, CTOTheFamily
By Alexis (https://twitter.com/alq), CTO at Datadog (https://www.datadoghq.com)
Alexis built Datadog's whole infrastructure and team from scratch as a co-founder. From a very small & dedicated team with no experience, he learned step by step to build a complete product ️
He shared with us his experience as a co-founder and CTO building a cloud giant in New York. How do you keep learning, how do you interact with customers & your market to drive your product development, and how do you monitor it all to make you company evolve will be the main topics of his talk.
Best Practices for Streaming IoT Data with MQTT and Apache KafkaKai Wähner
Organizations today are looking to stream IoT data to Apache Kafka. However, connecting tens of thousands or even millions of devices over unreliable networks can create some architecture challenges. In this session, we will identify and demo some best practices for implementing a large scale IoT system that can stream MQTT messages to Apache Kafka.
We use HiveMQ as open source MQTT broker to ingest data from IoT devices, ingest the data in real time into an Apache Kafka cluster for preprocessing (using Kafka Streams / KSQL), and model training + inference (using TensorFlow 2.0 and its TensorFlow I/O Kafka plugin).
We leverage additional enterprise components from HiveMQ and Confluent to allow easy operations, scalability and monitoring.
Know more about on-premise and cloud technology. Check out the latest ppt by codestore technologies and know the difference and benefits between both on-premise and cloud technology.
Microservices Architectures: Become a Unicorn like Netflix, Twitter and Hailogjuljo
Full day workshop about Microservices Architectures, from the basis to advanced topics like Service Discovery, Load Balancing, Fault Tolerance and Centralized Logging.
Many technologies are involved, like Spring Cloud Netflix, Docker, Cloud Foundry and ELK.
A separate deck describes all the lab exercises.
Real-Life Use Cases & Architectures for Event Streaming with Apache KafkaKai Wähner
Streaming all over the World: Real-Life Use Cases & Architectures for Event Streaming with Apache Kafka.
Learn about various case studies for event streaming with Apache Kafka across industries. The talk explores architectures for real-world deployments from Audi, BMW, Disney, Generali, Paypal, Tesla, Unity, Walmart, William Hill, and more. Use cases include fraud detection, mainframe offloading, predictive maintenance, cybersecurity, edge computing, track&trace, live betting, and much more.
Nutanix se despacha en días, y su despliegue se realiza en menos de un día (realmente!)
Permite no interrumpir las operaciones en curso (reducción del 99,7% en los tiempos de inactividad no planificados)
Escala fácilmente - Añada capacidad cuando la necesite- No más sobre aprovisionamiento (el tiempo de despliegue es 85% más rápido)
Reduce el costo y la complejidad de su sistema de computación y almacenamiento - hasta un 90% de ahorro de energía y espacio
Todos sus sistemas gestionados a través de una interfaz de panel único (71% menos tiempo de gestión de un entorno Nutanix)
Proporciona capacidades avanzadas de almacenamiento de clase empresarial (Deduplicación, Compresión, etc.)
Soporte de Clase Mundial – 88 Net Promotor Score (El siguiente proveedor de tecnología más alta de la lista fue Intel- en un 53!)
Netflix Recommendations Using Spark + Cassandra (Prasanna Padmanabhan & Roopa...DataStax
Learning is an analytic process of exploring the past in order to predict the future. Hence, being able to travel back in time to create features is critical for machine learning projects to be successful. To enable this, we built a time machine that computes features for any arbitrary time in the recent past for offline experimentation. We also built a real-time stream processing system to capture the interests of members during different times of the day and to quickly adapt to changes in the collective interests of members as it happens in case of real-world events.
Building the time machine for offline experimentation and the real-time infrastructure for online recommendations with Apache Spark (Streaming) and Apache Cassandra empowered us to both scale up the data size by an order of magnitude and train and validate the models in less time. We will delve into the architecture, use case details, data models used for cassandra and share our learnings.
About the Speakers
Prasanna Padmanabhan Engineering Manager, Netflix
Prasanna leads the Data Systems for Personalization team at Netflix. His primary focus is on building various big data infrastructure components that help their algorithmic engineers to innovate faster and improve personalization for Netflix members. In the past, he has built distributed data systems that leverages both batch and stream processing.
Roopa Tangirala Engineering Manager, Netflix
Roopa Tangirala is an experienced engineering leader with extensive background in databases, be they distributed or relational. She manages the database engineering team at Netflix responsible for operating cloud persistent and semipersistent runtime stores for Netflix, which includes Cassandra, Elasticsearch, Dynomite and MySQL databases, by ensuring data availability, durability, and scalability to meet the growing business needs.
Architecture patterns for distributed, hybrid, edge and global Apache Kafka d...Kai Wähner
Architecture patterns for distributed, hybrid, edge and global Apache Kafka deployments
Multi-cluster and cross-data center deployments of Apache Kafka have become the norm rather than an exception. This session gives an overview of several scenarios that may require multi-cluster solutions and discusses real-world examples with their specific requirements and trade-offs, including disaster recovery, aggregation for analytics, cloud migration, mission-critical stretched deployments and global Kafka.
Key takeaways:
In many scenarios, one Kafka cluster is not enough. Understand different architectures and alternatives for multi-cluster deployments.
Zero data loss and high availability are two key requirements. Understand how to realize this, including trade-offs.
Learn about features and limitations of Kafka for multi cluster deployments
Global Kafka and mission-critical multi-cluster deployments with zero data loss and high availability became the normal, not an exception.
Data is being generated at rates never before encountered. The explosion of data threatens to consume all of our IT resources: People, budget, power, cooling and data center floor space. Are your systems coping with your data now? Will they continue to deliver as the stress on data centers increases and IT budgets dwindle?
Imagine if you could be ahead of the data explosion by being proactive about your storage instead of reactive. Now you can be, with NetApp's approach to the designs and deployment of storage systems. With it, you can take advantage of NetApp's latest storage enhancements and take control of your storage. This will allow you to focus on gathering more insights from your data and deliver more value to your business.
NetApp's most advanced storage solutions are NetApp Virtualization & scale out. By taking control of your existing storage platform with either solution, you get:
• Immortal Storage system
• Infinite scalability
• Best possible ROI from existing environment
IoT Architectures for a Digital Twin with Apache Kafka, IoT Platforms and Mac...Kai Wähner
A digital twin is a digital replica of a living or non-living physical entity. This session discusses the benefits and IoT architectures of a Digital Twin in Industrial IoT (IIoT) and its relation to Apache Kafka, IoT frameworks and Machine Learning. Kafka is often used as central event streaming platform to build a scalable and reliable digital twin for real time streaming sensor data. A live demo shows a scalable digital twin infrastructure for condition monitoring and predictive maintenance in real time for a connected car infrastructure leveraging Kafka, MQTT and TensorFlow.
Key Take-Aways:
• Learn about use cases and characteristics of a digital twin in various industries
• Understand how to build a digital twin for every single (of tens of thousands) IoT device or machine
• See different IoT architectures with Kafka and other IoT technologies and products, including edge, hybrid and global deployments
• Understand the relation to Machine Learning and bring added value to your IoT infrastructure by enabling use cases like predictive maintenance
• Understand how the Apache Kafka enables scalable and flexible end-to-end integration processing from IIoT data to various backend applications
• Watch a live demo of an end-to-end integration, real time processing and analytics of thousands of IoT devices
More details:
https://www.kai-waehner.de/blog/2019/11/28/apache-kafka-industrial-iot-iiot-build-an-open-scalable-reliable-digital-twin/
https://www.kai-waehner.de/blog/2020/03/25/architectures-digital-twin-digital-thread-apache-kafka-iot-platforms-machine-learning/
https://youtu.be/Q3eKPEVwNVY
VxRail Appliance - Modernize your infrastructure and accelerate IT transforma...Maichino Sepede
An overview of the VxRail Appliance, including what’s new with VxRail on the 14th generation PowerEdge server, and advancements in the VxRail 4.5 software.
A review of BestBuy.com's cloud architecture for its browse cloud. A description of what BestBuy.com has built to support a high scale, high availability ecommerce system.
Datadog: From a single product to a growing platform by Alexis Lê-Quôc, CTOTheFamily
By Alexis (https://twitter.com/alq), CTO at Datadog (https://www.datadoghq.com)
Alexis built Datadog's whole infrastructure and team from scratch as a co-founder. From a very small & dedicated team with no experience, he learned step by step to build a complete product ️
He shared with us his experience as a co-founder and CTO building a cloud giant in New York. How do you keep learning, how do you interact with customers & your market to drive your product development, and how do you monitor it all to make you company evolve will be the main topics of his talk.
Best Practices for Streaming IoT Data with MQTT and Apache KafkaKai Wähner
Organizations today are looking to stream IoT data to Apache Kafka. However, connecting tens of thousands or even millions of devices over unreliable networks can create some architecture challenges. In this session, we will identify and demo some best practices for implementing a large scale IoT system that can stream MQTT messages to Apache Kafka.
We use HiveMQ as open source MQTT broker to ingest data from IoT devices, ingest the data in real time into an Apache Kafka cluster for preprocessing (using Kafka Streams / KSQL), and model training + inference (using TensorFlow 2.0 and its TensorFlow I/O Kafka plugin).
We leverage additional enterprise components from HiveMQ and Confluent to allow easy operations, scalability and monitoring.
Know more about on-premise and cloud technology. Check out the latest ppt by codestore technologies and know the difference and benefits between both on-premise and cloud technology.
Microservices Architectures: Become a Unicorn like Netflix, Twitter and Hailogjuljo
Full day workshop about Microservices Architectures, from the basis to advanced topics like Service Discovery, Load Balancing, Fault Tolerance and Centralized Logging.
Many technologies are involved, like Spring Cloud Netflix, Docker, Cloud Foundry and ELK.
A separate deck describes all the lab exercises.
In this slidecast, Jim Gutowski and Scott Fadden from IBM describe the advantages IBM Spectrum Scale Storage brings to the enterprise.
IBM Spectrum Scale is a proven, scalable, high-performance data and file management solution (based upon IBM General Parallel File System or GPFS, also formerly known as code name Elastic Storage). IBM Spectrum Scale provides world-class storage management with extreme scalability, flash accelerated performance, and automatic policy-based storage tiering from flash through disk to tape. IBM Spectrum Scale reduces storage costs up to 90% while improving security and management efficiency in cloud, big data & analytics environments."
Watch the video presentation starting 4/8/2015: http://wp.me/p3RLHQ-e0a
Learn more: http://ibm.co/1y1QIrj
Computational Enzymology of Ribozymes (from metal-ion to nucleobase catalysis...Fabrice Leclerc
the future of RNA worlds: seminar given at ANBIOφ / UPMC (Paris, France) on February 24th 2012 (http://www.scribd.com/doc/74685839/the-future-of-RNA-worlds)
SCSE_B2_01-Apr-13_Display
Note: B2 Slot for MEE437-Operations research following students occupy 421 room number.
Students regno 09BCE538, 10BCE0127, 10BCE0334, 10BCE0355.
This paper describes the benchmark testing that was done with IBM Storwize V7000 storage system and Fidelity Information services in January 2012. To know more about the IBM Storwize V7000, visit http://ibm.co/TaLb6Q.
IBM was ranked #1 in 2014 for having 40% marketshare in Software Defined Storage (SDS). Learn why people are excited about Software Defined environments like OpenStack, IBM Cloud, VMware and Microsoft, what IBM has to offer in this area with Spectrum Storage family of products, and how to deploy this in your own datacenter.
Learn why Storwize V7000 Unified Disk Systems is the most powerful and easy-to-use innovative disk systems in the storage marketplaceFor more information visit, http://ibm.co/LIg7gk.
S sy0883 smarter-storage-strategy-edge2015-v4Tony Pearson
IBM Smarter Storage Strategy explains IBM's direction for its IBM System Storage product line. This includes support for Big Data analytics, optimizing for traditional workloads, and helping clients transition to Cloud.
Learn about IBM Flex System: A Solid Foundation for Microsoft Exchange Server 2010. IBM builds, tests, and publishes reference configurations and performance metrics to provide clients with guidelines for sizing their Microsoft Exchange Server 2010 environments. This document highlights the IBM Flex System x240 Compute Node and IBM Flex System V7000 Storage Node and how they can be used as the foundation for your Exchange 2010 infrastructure. For more information on Pure Systems, visit http://ibm.co/J7Zb1v.
Visit http://on.fb.me/LT4gdu to 'Like' the official Facebook page of IBM India Smarter Computing.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.