This document discusses three key artificial intelligence capabilities of IBM's Power9 architecture:
1) Large Memory Support enables processing of high-definition images and large models that exceed GPU memory limits.
2) Distributed Deep Learning allows scaling to multiple servers for faster and more accurate training on large datasets.
3) PowerAI Vision provides tools for labeling data, training models for computer vision tasks, and deploying models for production use.
Macromolecular crystallography is an experimental technique allowing to explore 3D atomic structure of proteins, used by academics for research in biology and by pharmaceutical companies in rational drug design. While up to now development of the technique was limited by scientific instruments performance, recently computing performance becomes a key limitation. In my presentation I will present a computing challenge to handle 18 GB/s data stream coming from the new X-ray detector. I will show PSI experiences in applying conventional hardware for the task and why this attempt failed. I will then present how IC 922 server with OpenCAPI enabled FPGA boards allowed to build a sustainable and scalable solution for high speed data acquisition. Finally, I will give a perspective, how the advancement in hardware development will enable better science by users of the Swiss Light Source.
Everything is changing from Health Care to the Automotive markets without forgetting Financial markets or any type of engineering everything has stopped being created as an individual or best-case scenario a team effort to something that is being developed and perfectioned by using AI and hundreds of computers. And even AI is something that we no longer can run in a single computer, no matter how powerful it is. What drives everything today is HPC or High-Performance Computing heavily linked to AI In this session we will discuss about AI, HPC computing, IBM Power architecture and how it can help develop better Healthcare, better Automobiles, better financials and better everything that we run on them
IBM Bayesian Optimization Accelerator (BOA) is a do-it-yourself toolkit to apply state-of-the-art Bayesian inferencing techniques and obtain optimal solutions for complex, real-world design simulations without requiring deep machine learning skills. This talk will describe IBM BOA, its differentiation and ease of use, and how researchers can take advantage of it for optimizing any arbitrary HPC simulation.
JMI Techtalk: 한재근 - How to use GPU for developing AILablup Inc.
이 Techtalk에서는 AI 개발을 위해 GPU를 사용할 때 Nvidia가 제공하는 성능 향상을 위한 다양한 방법들을 기술자료들과 함께 소개합니다. 특히 Volta 아키텍처를 기반으로 Mixed precision을 도입하여 성능을 향상하는 과정에 관한 내용을 자세히 다룹니다.
This Techtalk introduces a variety of ways to improve the performance that Nvidia provides when using the GPU for AI development, along with technical resources. In particular, this talk discusses the process of improving performance by introducing mixed precision based on the Volta architecture.
Backend.AI Technical Introduction (19.09 / 2019 Autumn)Lablup Inc.
This slide introduces technical specs and details about Backend.AI 19.09.
* On-premise clustering / container orchestration / scaling on cloud
* Container-level fractional GPU technology to use one GPU as many GPUs on many containers at the same time.
* NVidia GPU Cloud integrations
* Enterprise features
A Primer on FPGAs - Field Programmable Gate ArraysTaylor Riggan
A focus on the use of FPGAs by cloud service providers. Includes Microsoft Azure Catapult, Google Tensor Processors, and Amazon EC2 F1 instances. Also includes background info on how to get started with FPGAs
In this video from the HPC User Forum in Tucson, Gregory Stoner from AMD presents: It's Time to ROC.
"With the announcement of the Boltzmann Initiative and the recent releases of ROCK and ROCR, AMD has ushered in a new era of Heterogeneous Computing. The Boltzmann initiative exposes cutting edge compute capabilities and features on targeted AMD/ATI Radeon discrete GPUs through an open source software stack. The Boltzmann stack is comprised of several components based on open standards, but extended so important hardware capabilities are not hidden by the implementation."
Learn more: http://gpuopen.com/getting-started-with-boltzmann-components-platforms-installation/
and
http://hpcuserforum.com
Watch the video presentation: http://wp.me/p3RLHQ-fcJ
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
How to optimize Hortonworks Apache Spark ML workloads on Power - POWER 8/9 architecture is the latest offering from IBM and OpenPower foundation. It is the perfect platform for optimizing Hortonworks Spark's performance. During this presentation we will walk the audience through steps required to optimize YARN, HDFS, and Spark on a Power cluster.
Step required:
1) Classify workload into CPU, Memory, IO or mixed (CPU, memory, IO) intensive
2) Characterize "out-of-box" Hortonworks spark workload to understand CPU, Memory, IO and Network performance characteristics
3) Floor Plan cluster resources
4) Tune "out-of-box" workload to navigate "Roofline" Performance space in the above named dimensions
5) If workload is Memory / IO/ Network intensive bound then tune SPARK to increase operational intensity operations/byte as much as possible to make it CPU bound
6) Divide search space into regions and perform exhaustive search.
7) Identify Performance bottlenecks by resource monitoring and tune the System, JVM or application layer by profiling application and hardware counters if required.
Macromolecular crystallography is an experimental technique allowing to explore 3D atomic structure of proteins, used by academics for research in biology and by pharmaceutical companies in rational drug design. While up to now development of the technique was limited by scientific instruments performance, recently computing performance becomes a key limitation. In my presentation I will present a computing challenge to handle 18 GB/s data stream coming from the new X-ray detector. I will show PSI experiences in applying conventional hardware for the task and why this attempt failed. I will then present how IC 922 server with OpenCAPI enabled FPGA boards allowed to build a sustainable and scalable solution for high speed data acquisition. Finally, I will give a perspective, how the advancement in hardware development will enable better science by users of the Swiss Light Source.
Everything is changing from Health Care to the Automotive markets without forgetting Financial markets or any type of engineering everything has stopped being created as an individual or best-case scenario a team effort to something that is being developed and perfectioned by using AI and hundreds of computers. And even AI is something that we no longer can run in a single computer, no matter how powerful it is. What drives everything today is HPC or High-Performance Computing heavily linked to AI In this session we will discuss about AI, HPC computing, IBM Power architecture and how it can help develop better Healthcare, better Automobiles, better financials and better everything that we run on them
IBM Bayesian Optimization Accelerator (BOA) is a do-it-yourself toolkit to apply state-of-the-art Bayesian inferencing techniques and obtain optimal solutions for complex, real-world design simulations without requiring deep machine learning skills. This talk will describe IBM BOA, its differentiation and ease of use, and how researchers can take advantage of it for optimizing any arbitrary HPC simulation.
JMI Techtalk: 한재근 - How to use GPU for developing AILablup Inc.
이 Techtalk에서는 AI 개발을 위해 GPU를 사용할 때 Nvidia가 제공하는 성능 향상을 위한 다양한 방법들을 기술자료들과 함께 소개합니다. 특히 Volta 아키텍처를 기반으로 Mixed precision을 도입하여 성능을 향상하는 과정에 관한 내용을 자세히 다룹니다.
This Techtalk introduces a variety of ways to improve the performance that Nvidia provides when using the GPU for AI development, along with technical resources. In particular, this talk discusses the process of improving performance by introducing mixed precision based on the Volta architecture.
Backend.AI Technical Introduction (19.09 / 2019 Autumn)Lablup Inc.
This slide introduces technical specs and details about Backend.AI 19.09.
* On-premise clustering / container orchestration / scaling on cloud
* Container-level fractional GPU technology to use one GPU as many GPUs on many containers at the same time.
* NVidia GPU Cloud integrations
* Enterprise features
A Primer on FPGAs - Field Programmable Gate ArraysTaylor Riggan
A focus on the use of FPGAs by cloud service providers. Includes Microsoft Azure Catapult, Google Tensor Processors, and Amazon EC2 F1 instances. Also includes background info on how to get started with FPGAs
In this video from the HPC User Forum in Tucson, Gregory Stoner from AMD presents: It's Time to ROC.
"With the announcement of the Boltzmann Initiative and the recent releases of ROCK and ROCR, AMD has ushered in a new era of Heterogeneous Computing. The Boltzmann initiative exposes cutting edge compute capabilities and features on targeted AMD/ATI Radeon discrete GPUs through an open source software stack. The Boltzmann stack is comprised of several components based on open standards, but extended so important hardware capabilities are not hidden by the implementation."
Learn more: http://gpuopen.com/getting-started-with-boltzmann-components-platforms-installation/
and
http://hpcuserforum.com
Watch the video presentation: http://wp.me/p3RLHQ-fcJ
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
How to optimize Hortonworks Apache Spark ML workloads on Power - POWER 8/9 architecture is the latest offering from IBM and OpenPower foundation. It is the perfect platform for optimizing Hortonworks Spark's performance. During this presentation we will walk the audience through steps required to optimize YARN, HDFS, and Spark on a Power cluster.
Step required:
1) Classify workload into CPU, Memory, IO or mixed (CPU, memory, IO) intensive
2) Characterize "out-of-box" Hortonworks spark workload to understand CPU, Memory, IO and Network performance characteristics
3) Floor Plan cluster resources
4) Tune "out-of-box" workload to navigate "Roofline" Performance space in the above named dimensions
5) If workload is Memory / IO/ Network intensive bound then tune SPARK to increase operational intensity operations/byte as much as possible to make it CPU bound
6) Divide search space into regions and perform exhaustive search.
7) Identify Performance bottlenecks by resource monitoring and tune the System, JVM or application layer by profiling application and hardware counters if required.
Enabling a hardware accelerated deep learning data science experience for Apa...DataWorks Summit
Deep learning techniques are finding significant commercial success in a wide variety of industries. Large unstructured data sets such as images, videos, speech and text are great for deep learning, but impose a lot of demands on computing resources. New types of hardware architectures such as GPUs and faster interconnects (e.g. NVLink), RDMA capable networking interface from Mellanox available on OpenPOWER and IBM POWER systems are enabling practical speedups for deep learning. Data Scientists can intuitively incorporate deep learning capabilities on accelerated hardware using open source components such as Jupyter and Zeppelin notebooks, RStudio, Spark, Python, Docker, and Kubernetes with IBM PowerAI. Jupyter and Apache Zeppelin integrate well with Apache Spark and Hadoop using the Apache Livy project. This session will show some deep learning build and deploy steps using Tensorflow and Caffe in Docker containers running in a hardware accelerated private cloud container service. This session will also show system architectures and best practices for deployments on accelerated hardware. INDRAJIT PODDAR, Senior Technical Staff Member, IBM
Tuning For Deep Learning Inference with Intel® Processor Graphics | SIGGRAPH ...Intel® Software
Deep learning based Inference on edge based devices is growing rapidly. In this talk, learn about how developers and researchers are taking advantage of Intel® Processor Graphics to get best performance.
Introduction to Machine Learning on IBM Power SystemsDavid Spurway
My second presentation from the IBM i Premier User Group on the 20th July 2017, in IBM Hursley. This was an introduction to Machine Learning and PowerAI, IBM Power Systems pre-integrated offering that makes use of the NVIDIA GPUs and the industry unique NVLink to accelerate the learning stage of Machine Learning
Deep Learning Frameworks Using Spark on YARN by Vartika SinghData Con LA
Abstract:- Traditional machine learning and feature engineering algorithms are not efficient enough to extract complex and nonlinear patterns hallmarks of big data. Deep learning, on the other hand, helps translate the scale and complexity of the data into solutions like molecular interaction in drug design, the search for subatomic particles and automatic parsing of microscopic images. Co-locating a data processing pipeline with a deep learning framework makes data exploration/algorithm and model evolution much simpler, while streamlining data governance and lineage tracking into a more focused effort. In this talk, we will discuss and compare the different deep learning frameworks on Spark in a distributed mode, ease of integration with the Hadoop ecosystem, and relative comparisons in terms of feature parity.
Healthcare has became one of the most important aspects of everyones life. Its importance has surged due to the latests outbreaks and due to this latest pandemic it has become mandatory to collaborate to improve everyones Healthcare as soon as possible.
IBM has reacted quickly sharing not only its knowledge but also its Artificial Intelligence Supercomputers all around the world.
Those Supercomputers are helping to prevail this outbreak and also future ones.
They have completely different features compared to proposals from other players of this Supercomputers market.
We will try to make a quick look at the differences of those AI focused Supercomputers and how they can help in the R&D of Healthcare solutions for everyone, from those ones with access to a big IBM AI Supercomputer to those ones with access to only one small IBM AI focused server.
Healthcare has became one of the most important aspects of everyones life. Its importance has surged due to the latests outbreaks and due to this latest pandemic it has become mandatory to collaborate to improve everyones Healthcare as soon as possible.
IBM has reacted quickly sharing not only its knowledge but also its Artificial Intelligence Supercomputers all around the world.
Those Supercomputers are helping to prevail this outbreak and also future ones.
They have completely different features compared to proposals from other players of this Supercomputers market.
We will try to make a quick look at the differences of those AI focused Supercomputers and how they can help in the R&D of Healthcare solutions for everyone, from those ones with access to a big IBM AI Supercomputer to those ones with access to only one small IBM AI focused server.
[AWS Dev Day] 인공지능 / 기계 학습 | AWS 기반 기계 학습 자동화 및 최적화를 위한 실전 기법 - 남궁영환 AWS 솔루션...Amazon Web Services Korea
기계 학습 모델을 서비스로 제공하려면, 지속적인 학습 및 배포 과정이 필요합니다. 모델 훈련시 최적화 과정, 배포된 모델이 추론을 통해 서비스 되기 위한 성능 개선도 필수 요소입니다. 본 세션에서는 AWS를 활용한 대규모 리소스를 이용한 효율적인 모델 학습 시 유용한 내용들을 소개합니다. 대규모 리소스를 이용할 경우 인프라 선택, 모델 학습 환경 선택 및 구성, 확장성 등이 함께 고려되어야 합니다. 이와 관련한 AWS 서비스들의 특징과 어떤 결과를 보여주는지도 함께 알아봅니다.
IBM Consultants & System Integrators Interchange - 2015
http://www-07.ibm.com/events/in/csiinterchange/index.html
Demystify OpenPOWER
Speaker: Anand Haridass, Chief Engineer – Power System, IBM India
OpenPOWER is an open development community, using the POWER Architecture to serve the evolving needs of customers. Hear about the success of the OpenPOWER strategy and Foundation that is building momentum, and fueling an explosion of new development, innovation and collaboration, and improved performance on the POWER Architecture. What does this means for your clients? Find out how OpenPOWER is expanding the Power ecosystem and capabilities with new solutions coming from IBM and our partners.
2689 - Exploring IBM PureApplication System and IBM Workload Deployer Best Pr...Hendrik van Run
IBM IMPACT 2013 presentation
This lecture will provide an overview of a combination of design, development, configuration and deployment best practices for IBM PureApplication System and IBM Workload Deployer captured from customer engagement experiences.
If you're like most of the world, you're on an aggressive race to implement machine learning applications and on a path to get to deep learning. If you can give better service at a lower cost, you will be the winners in 2030. But infrastructure is a key challenge to getting there. What does the technology infrastructure look like over the next decade as you move from Petabytes to Exabytes? How are you budgeting for more colossal data growth over the next decade? How do your data scientists share data today and will it scale for 5-10 years? Do you have the appropriate security, governance, back-up and archiving processes in place? This session will address these issues and discuss strategies for customers as they ramp up their AI journey with a long term view.
The Libre-SOC Project aims to create an entirely Libre-Licensed, transparently-developed fully auditable Hybrid 3D CPU-GPU-VPU, using the Supercomputer-class OpenPOWER ISA as the foundation.
Our first test ASIC is a 180nm "Fixed-Point" Power ISA v3.0B processor, 5.1mm x 5.9mm, as a proof-of-concept for the team, whose primary expertise is in Software Engineering. Software Engineering training brings a radically different approach to Hardware development: extensive unit tests, source code revision control, automated development tools are normal. Libre Project Management brings even more: bug trackers, mailing lists, auditable IRC logs and a wiki are standard fare for Libre Projects that are simply not normal Industry-Standard practice.
This talk therefore goes through the workflow, from the original HDL through to the GDS-II layout, showing how we were able to keep track of the development that led to the IMEC 180nm tape-out in July 2021. In particular, by following a parallel development process involving "Real" and "Symbolic" Cell Libraries, developed by Chips4Makers, will be shown how our developers did not need to sign a Foundry NDA, but were still able to work side-by-side with a University that did. With this parallel development process, the University upheld their NDA obligations, and Libre-SOC were simultaneously able to honour its Transparency Objectives.
Workload Transformation and Innovations in POWER Architecture Ganesan Narayanasamy
IT Industry is going through two major transformations. One is adaption of AI and tight integration of the same in the commercial applications and enterprise workflow. Two the transformation in software architecture through the concepts like microservices and the cloud native architecture. These transformation alongside the aggressive adaption of IoT/mobile and 5G in all our day today activities is making the world operate in more real time manner which opens-up a new challenge to improve the hardware architecture to adapt to these requirements. These above two major transformation pushes the boundary of the entire systems stack making the designer rethink hardware. This talk presents you a picture of how the enterprise Industry leading POWER architecture is transforming to fulfill the performance demands of these newer generation workloads with primary focus on the AI acceleration on the chip.
July 16th 2021 , Friday for our newest workshop with DoMS, IIT Roorkee, Concept to Solutions using OpenPOWER Stack. It's time to discover advances in #DeepLearning tools and techniques from the world's leading innovators across industries, research, and public speakers.
Register here:
https://lnkd.in/ggxMq2N
This presentation covers two uses cases using OpenPOWER Systems
1. Diabetic Retinopathy using AI on NVIDIA Jetson Nano: The objective is to classify the diabetic level solely on retina image in a remote area with minimum doctor's inference. The model uses VGG16 network architecture and gets trained from scratch on POWER9. The model was deployed on the Jetson Nano board.
1. Classifying Covid positivity using lung X-ray images: The idea is to build ML models to detect positive cases using X-ray images. The model was trained on POWER9, and the application was developed using Python.
This presentation covers various partners and collaborators who are currently working with OpenPOWER foundation ,Use cases of OpenPOWER systems in multiple Industries , OpenPOWER Workgroups and OpenCAPI features .
The IBM POWER10 processor represents the 10th generation of the POWER family of enterprise computing engines. Its performance is a result of both powerful processing cores and high-bandwidth intra- and inter-chip interconnect. POWER10 systems can be configured with up to 16 processor chips and 1920 simultaneous threads of execution. Cross-system memory sharing, through the new Memory Inception technology, and 2 Petabytes of addressing space support an expansive memory system. The POWER10 processing core has been significantly enhanced over its POWER9 predecessor, including a doubling of vector units and the addition of an all-new matrix math engine. Throughput gains from POWER9 to POWER10 average 30% at the core level and three-fold at the socket level. Those gains can reach ten- or twenty-fold at the socket level for matrix-intensive computations.
AI in healthcare and Automobile Industry using OpenPOWER/IBM POWER9 systemsGanesan Narayanasamy
As the adoption of AI technologies increases and matures, the focus will shift from exploration to time to market, productivity and integration with existing workflows. Governing Enterprise data, scaling AI model development, selecting a complete, collaborative hybrid platform and tools for rapid solution deployments are key focus areas for growing data scientist teams tasked to respond to business challenges. This talk will cover the challenges and innovations for AI at scale for the Industires such as Healthcare and Automotive , the AI ladder and AI life cycle and infrastructure architecture considerations.
This talk gives an introduction about Healthcare Use cases - The AI ladder and Lifestyle AI at Scale Themes The iterative nature of the workflow and some of the important components to be aware in developing AI health care solutions were being discussed. The different types of algorithms and when machine learning might be more appropriate in deep learning or the other way will also be discussed. Use cases in terms of examples are also shared as part of this presentation .
Moving object recognition (MOR) corresponds to the localization and classification of moving objects in videos. Discriminating moving objects from static objects and background in videos is an essential task for many computer vision applications. MOR has widespread applications in intelligent visual surveillance, intrusion detection, anomaly detection and monitoring, industrial sites monitoring, detection-based tracking, autonomous vehicles, etc. In this session, Murari provided a poster about the deep learning algorithms to identify both locations and corresponding categories of moving objects with a convolutional network. The challenges in developing such algorithms have been discussed.
Clarisse Hedglin from IBM presented this as part of 3 days International Summit .. She shared the scenarios AI can solve for today using the IBM AI infrastructure.
Dr Murari Mandal from NUS presented as part of 3 days OpenPOWER Industry summit about Robustness in Deep learning where he talked about AI Breakthroughs , Performance improments in AI models , Adversarial attacks , Attacks on semantic segmentation , Attacs on object detector , Defending Against adversarial attacks and many other areas.
IBM experts Girish and Chandu presented about A2O Core implementation on FPGA as part of JNTU A 2 DAYS Workshop . They covered the features of A2O core , how this core can be infused in FPGA
This was presented as part of JNTU A 2021 2 days workshop.. Ganesan Narayanasamy from IBM presented this to many young developers and faculties where he described about Why OpenPOWER foundation , what are the tools and features available for community development , value creation for members etc.
This presentation was part of JNTU A 2 days workshops where IBM expert Satish presented about Open POWER ISA , Open Cores and the future architectures ..
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
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.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
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
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.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
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.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
