Продукт IBM Watson Analytics предоставляет мощные возможности анализа, доступные практически каждому. Автоматическая подготовка данных, прогнозная аналитика, отчетность, информационные панели, визуализация и функции совместной работы позволят вам полностью взять анализ данных под контроль. Далее вы сможете самостоятельно предпринять необходимые действия, чтобы решить проблему или воспользоваться возможностью, без помощи ИТ-специалистов и специалистов по обработке данных.
Lightning talk :IBM Content Analytics with Enterprise Search - Wolfgang Junglucenerevolution
See conference video - http://www.lucidimagination.com/devzone/events/conferences/ApacheLuceneEurocon2011
See and hear how IBM applies Lucence into their commercial software offerings. Hear about experience in development and advantages of this approach.
Demystifying IBM Watson: Uncover the Power of Cognitive SolutionsPerficient, Inc.
Successful organizations recognize that information is a strategic asset, capable of strengthening decision making, improving efficiency, reducing risk, and enhancing customer relationships. With the tremendous surge in the volume and diversity of data, leveraging this information across the entire enterprise is a business imperative that cannot be ignored.
IBM Watson harnesses the power of cognitive exploration, machine learning, and natural language processing to answer your most pressing questions, strengthen decision making, scale expertise, uncover key information in unstructured data, and reveal previously undiscovered data patterns and relationships.
In this SlideShare, we discuss:
Trends in cognitive solutions
Use cases for IBM Watson
Real-world Watson success stories
Getting started on the path to cognitive solutions
Lightning talk :IBM Content Analytics with Enterprise Search - Wolfgang Junglucenerevolution
See conference video - http://www.lucidimagination.com/devzone/events/conferences/ApacheLuceneEurocon2011
See and hear how IBM applies Lucence into their commercial software offerings. Hear about experience in development and advantages of this approach.
Demystifying IBM Watson: Uncover the Power of Cognitive SolutionsPerficient, Inc.
Successful organizations recognize that information is a strategic asset, capable of strengthening decision making, improving efficiency, reducing risk, and enhancing customer relationships. With the tremendous surge in the volume and diversity of data, leveraging this information across the entire enterprise is a business imperative that cannot be ignored.
IBM Watson harnesses the power of cognitive exploration, machine learning, and natural language processing to answer your most pressing questions, strengthen decision making, scale expertise, uncover key information in unstructured data, and reveal previously undiscovered data patterns and relationships.
In this SlideShare, we discuss:
Trends in cognitive solutions
Use cases for IBM Watson
Real-world Watson success stories
Getting started on the path to cognitive solutions
Introduction to Predictive Analytics with IBM SPSS. Predictive analytics helps organizations use their data to make better decisions by allowing them to draw reliable, data-driven conclusions about current conditions and future events.
Predictive analytics encompasses a variety of techniques such as Statistics, Game theory and Data mining to do this analysis,
and make these predictions.
So by deploying predictive analytics, organizations are addressing their business issues proactively to get the best outcomes.
Explore, analyze and interpret information for better business outcomes
IBM Watson Explorer is a cognitive exploration solution that combines search and content analytics with unique cognitive
computing capabilities to help users find and understand the information they need to work more efficiently and make better, more confident decisions.
To learn more about IBM Watson Explorer visit ibm.biz/watsonexplorer.
IBM Watson Jeopardy! white paper which explains Watson’s workload optimised system design based on IBM DeepQA architecture and POWER7® processor-based servers
IBM Watson overview presented by Mike Pointer, Watson Sr. Solution Architect, at Penn State's Nittany Watson Challenge Immersion event on January 19-20, 2017.
Big Data and Analytics: The IBM PerspectiveThe_IPA
Gareth Mitchell-Jones, Associate Partner Big Data & Analytics at IBM, shares his thoughts on the hot topic of Big Data from his unique perspective at an IPA 44 Club event in London. To learn more about The IPA visit www.ipa.co.uk and The 44 Club here http://www.ipa.co.uk/groups/44-club-2
The Big Picture: Real-time Data is Defining Intelligent OffersCloudera, Inc.
New research shows that 57% of the buying cycle is completed before a prospect even speaks to a company. Marketers already know this, Ninety-six percent (96%) of organizations believe that email personalization can improve email marketing performance. But where do we get this increasingly personal direction? The answer is likely in your customer data. In order to understand your customer needs contextualized in the moment they feel the need to act you will require a platform that can leverage real-time data. Apache Kudu is a Cloudera component that makes dealing with quickly changing data fast and easy. Companies are leveraging next generation data stores like Kudu to build data applications that deliver smart promotions, real-time offers, and personalized marketing. Join us as we discuss modern approaches to real-time application development and highlight key Cloudera use cases being powered by Cloudera’s operational database.
Modernizing the Analytics and Data Science Lifecycle for the Scalable Enterpr...Data Con LA
Data Con LA 2020
Description
It’s no secret that the roots of Data Science date back to the 1960’s and were first mainstreamed in the 1990’s with the emergence of Data Mining. This occurred when commercially affordable computers started offering the horsepower and storage necessary to perform advanced statistics to scale.
However, the words “to scale” have evolved over time. The leap to “Big Data” is only one serial aspect of growth. Beyond the typical 1-off studies that catalyzed the field of Data Mining, Data Science now fulfills enterprise and multi-enterprise use cases spanning much broader and deeper data sets and integrations. For example, AI and Machine Learning frameworks can interoperate with a variety of other systems to drive alerting, feedback loops, predictive frameworks, prescriptive engines, continual learning, and more. The deployment of AI/ML processes themselves often involves integration with contemporary DevOps tools.
Now segue to SEAL – the Scalable Enterprise Analytic Lifecycle. In this presentation, you’ll learn how to cover the major bases of a modern Data Science projects – and Citizen Data Science as well – from conception, learning, and evaluation through integration, implementation, monitoring, and continual improvement. And as the name implies, your deployments will be performant and scale as expected in today’s environments.
Speaker
Jeff Bertman, CTO, Dfuse Technologies
Webinar - Comparative Analysis of Cloud based Machine Learning PlatformsBigDataCloud
This webinar discusses cloud based Machine Learning platforms in detail while identifying suitable business use cases for each of them: Microsoft Azure ML, Amazon Machine Learning DataBricks Cloud
IBM Cognos Analytics: Empowering business by infusing intelligence across the...IBM Analytics
Analytics leaders can now offer organizations the self-service they want while giving users the control they expect, redefining business intelligence in the process—all thanks to the IBM Cognos Analytics platform. Learn more at http://ibm.co/cognosanalytics.
Liberate Your Data: Integrate Data From Traditional On-Prem Systems to Next-G...Precisely
Hear from our data experts on how to modernize your data infrastructure and integrate siloed data into cloud-based enterprise data hubs. A modern data infrastructure helps to power high-performance analytics, AI and machine learning.
Watch this on-demand webinar to learn how to liberate your data from traditional on-premise data systems and migrate it to next-gen cloud platforms, such as Snowflake.
See a live demonstration of Connect which has already helped thousands of organisations to liberate their data in order to improve customer experience, reduce churn, lower risk, and meet regulatory requirements.
Η παρουσίαση Master the art of Data Science πραγματοποιήθηκε από τον Παντελή Ξανθούλη, Analytics Software Sales | IBM, στην εκδήλωση της εταιρίας μας, InTech – Accelerate your AI journey.
Migrating to the Cloud – Is Application Performance Monitoring still required?eG Innovations
As more businesses adopt cloud technologies for their various benefits it must be noted that not all cloud offerings are the same and provide different services or infra SLA. Do you know that not all SLA from cloud providers mean your application will be ensured similar availability?
Depending on whether you are leveraging Saas, Paas, Iaas, etc to deliver your applications, you will have a different level of visibility and control of how you manage performance and deliver the user experience expected by your users.
Join the session and find out what remains within your responsibility and how you can monitor the various cloud infrastructure/services to give yourself the needed visibility to deliver the expected user experience without over-provisioning to ensure better performance.
Introduction to Predictive Analytics with IBM SPSS. Predictive analytics helps organizations use their data to make better decisions by allowing them to draw reliable, data-driven conclusions about current conditions and future events.
Predictive analytics encompasses a variety of techniques such as Statistics, Game theory and Data mining to do this analysis,
and make these predictions.
So by deploying predictive analytics, organizations are addressing their business issues proactively to get the best outcomes.
Explore, analyze and interpret information for better business outcomes
IBM Watson Explorer is a cognitive exploration solution that combines search and content analytics with unique cognitive
computing capabilities to help users find and understand the information they need to work more efficiently and make better, more confident decisions.
To learn more about IBM Watson Explorer visit ibm.biz/watsonexplorer.
IBM Watson Jeopardy! white paper which explains Watson’s workload optimised system design based on IBM DeepQA architecture and POWER7® processor-based servers
IBM Watson overview presented by Mike Pointer, Watson Sr. Solution Architect, at Penn State's Nittany Watson Challenge Immersion event on January 19-20, 2017.
Big Data and Analytics: The IBM PerspectiveThe_IPA
Gareth Mitchell-Jones, Associate Partner Big Data & Analytics at IBM, shares his thoughts on the hot topic of Big Data from his unique perspective at an IPA 44 Club event in London. To learn more about The IPA visit www.ipa.co.uk and The 44 Club here http://www.ipa.co.uk/groups/44-club-2
The Big Picture: Real-time Data is Defining Intelligent OffersCloudera, Inc.
New research shows that 57% of the buying cycle is completed before a prospect even speaks to a company. Marketers already know this, Ninety-six percent (96%) of organizations believe that email personalization can improve email marketing performance. But where do we get this increasingly personal direction? The answer is likely in your customer data. In order to understand your customer needs contextualized in the moment they feel the need to act you will require a platform that can leverage real-time data. Apache Kudu is a Cloudera component that makes dealing with quickly changing data fast and easy. Companies are leveraging next generation data stores like Kudu to build data applications that deliver smart promotions, real-time offers, and personalized marketing. Join us as we discuss modern approaches to real-time application development and highlight key Cloudera use cases being powered by Cloudera’s operational database.
Modernizing the Analytics and Data Science Lifecycle for the Scalable Enterpr...Data Con LA
Data Con LA 2020
Description
It’s no secret that the roots of Data Science date back to the 1960’s and were first mainstreamed in the 1990’s with the emergence of Data Mining. This occurred when commercially affordable computers started offering the horsepower and storage necessary to perform advanced statistics to scale.
However, the words “to scale” have evolved over time. The leap to “Big Data” is only one serial aspect of growth. Beyond the typical 1-off studies that catalyzed the field of Data Mining, Data Science now fulfills enterprise and multi-enterprise use cases spanning much broader and deeper data sets and integrations. For example, AI and Machine Learning frameworks can interoperate with a variety of other systems to drive alerting, feedback loops, predictive frameworks, prescriptive engines, continual learning, and more. The deployment of AI/ML processes themselves often involves integration with contemporary DevOps tools.
Now segue to SEAL – the Scalable Enterprise Analytic Lifecycle. In this presentation, you’ll learn how to cover the major bases of a modern Data Science projects – and Citizen Data Science as well – from conception, learning, and evaluation through integration, implementation, monitoring, and continual improvement. And as the name implies, your deployments will be performant and scale as expected in today’s environments.
Speaker
Jeff Bertman, CTO, Dfuse Technologies
Webinar - Comparative Analysis of Cloud based Machine Learning PlatformsBigDataCloud
This webinar discusses cloud based Machine Learning platforms in detail while identifying suitable business use cases for each of them: Microsoft Azure ML, Amazon Machine Learning DataBricks Cloud
IBM Cognos Analytics: Empowering business by infusing intelligence across the...IBM Analytics
Analytics leaders can now offer organizations the self-service they want while giving users the control they expect, redefining business intelligence in the process—all thanks to the IBM Cognos Analytics platform. Learn more at http://ibm.co/cognosanalytics.
Liberate Your Data: Integrate Data From Traditional On-Prem Systems to Next-G...Precisely
Hear from our data experts on how to modernize your data infrastructure and integrate siloed data into cloud-based enterprise data hubs. A modern data infrastructure helps to power high-performance analytics, AI and machine learning.
Watch this on-demand webinar to learn how to liberate your data from traditional on-premise data systems and migrate it to next-gen cloud platforms, such as Snowflake.
See a live demonstration of Connect which has already helped thousands of organisations to liberate their data in order to improve customer experience, reduce churn, lower risk, and meet regulatory requirements.
Η παρουσίαση Master the art of Data Science πραγματοποιήθηκε από τον Παντελή Ξανθούλη, Analytics Software Sales | IBM, στην εκδήλωση της εταιρίας μας, InTech – Accelerate your AI journey.
Migrating to the Cloud – Is Application Performance Monitoring still required?eG Innovations
As more businesses adopt cloud technologies for their various benefits it must be noted that not all cloud offerings are the same and provide different services or infra SLA. Do you know that not all SLA from cloud providers mean your application will be ensured similar availability?
Depending on whether you are leveraging Saas, Paas, Iaas, etc to deliver your applications, you will have a different level of visibility and control of how you manage performance and deliver the user experience expected by your users.
Join the session and find out what remains within your responsibility and how you can monitor the various cloud infrastructure/services to give yourself the needed visibility to deliver the expected user experience without over-provisioning to ensure better performance.
Data Visualization - HorizonWatch 2015 Trend Report Bill Chamberlin
Purpose: The slides provide an overview on the Data Visualization trend
Content: Summary information about the Data Visualization trend is provided along with many links to additional resources.
How To Use This Report: This report is best read/studied and used as a learning document. You may want to view the slides in slideshow mode so you can easily follow the links.
Please Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution.
In today's businesses, an application going down can mean millions of dollars in lost revenue. Learn how to optimize the performance of your enterprise applications powered by MongoDB with IBM Application Performance Management (APM). IBM APM will give you full visibility into your application stack and infrastructure, track every transaction going through it, and help you diagnose problems in mere minutes. With built-in analytics to predict outages before they occur and integration directly into MMS, IBM APM is a must-have solution to keep your business-critical applications up and your revenue flowing.
IBM's big data seminar programme- the case for big data & analytics - Gareth ...Internet World
Big Data Meets Big Analytics Theatre - June 18th, 13:00-13:30
Companies that have the capability to analyse ALL of their available data, rather than a subset, have a powerful advantage over their contemporaries who do not. Coupled with the right talent and supporting business infrastructure, a big data platform enables your organisation to tackle problems that could not previously be fully explored - but where do you start? IBM has helped organisations of all sizes understand the problems that big data technology and proven mining approaches can address; from analysing larger volumes of data than was previously possible to drive more precise answers, to analysing data in motion to capture opportunities that were previously lost. In this seminar, Gareth discusses some of the use cases that could provide your first steps into big data.
Gareth Mitchell Jones, IBM Big Data & Analytics Leader, UK & Ireland pitches about the importance of Data and how it can give companies a competitive advantage.
Igniting Application Testing with AI + Automation IBM
Description:
Testing applications is an arduous and time-consuming process. Hear from IBM's client about how they are applying automation combined with artificial intelligence (AI) to develop and test applications—speeding up time to market and providing the agility to respond better to competitive threats. Using automation and AI can improve complex testing requirements by minimizing, and then automating, laborious testing processes. It can provide 45% faster cycles and reduce the number of tests up to 60% while providing 100% coverage of testing requirements. So you get faster testing, and up to 40% fewer defects.
Presenters: Nick Carnovale, IBM / Bruce Lovvorn, Ahold Delhaize
For more information, go to: https://www.ibm.com/ignite
Gene Villeneuve - Redefinning the Analytics ExperienceIBM Sverige
Hur kan man förbättra verksamheten med hjälp av data? För de flesta företag ligger den största utmaningen inte i hur man lagrar data utan hur man skapar insikter utifrån dem. Framgångsrika företag använder analys som verktyg för att dra nytta av all sin data. Med analys ser man inte bara vad som hänt utan man får även veta vad som kommer att hända. Det hjälper beslutsfattare på alla nivåer att ta bättre beslut. Affärsanalys är en kritisk framgångsfaktor för ett företag i dagens affärsvärld. Ta chansen att lyssna på Gene Villenueve som berättar om hur IBM kan hjälpa organisationer att bli bättre på analys. Föredraget hålls på engelska/This session will be in english
In May of 2015, leading IT analyst firm Enterprise Management Associates (EMA) conducted survey-driven research to assess the key challenges and benefits surrounding API-delivered services. The data is now in, and the information gathered from API providers and consumers can help answer a host of API-specific questions being asked by many IT professionals. These slides cover some of the findings.
SmartData Webinar: Cognitive Computing in the Mobile App EconomyDATAVERSITY
Mobility is transforming work and life throughout the planet. Mobile apps--built for a growing range of handhelds, wearables, Internet of Things, and other platforms--are becoming the universal access paths to commerce, content, and community in the 21st century. The app economy refers to this new world where every decision, action, exploration, and experience is continuously enriched and optimized through the cloud-served apps that accompany you everywhere. In this webinar, James Kobielus, IBM's Big Data Evangelist, will discuss the potential of cognitive computing to super-power the emerging app economy. In addition to providing an overview of IBM's Watson strategy for cognitive computing, Kobielus will go in-depth on IBM's strategic partnership with Apple to draw on the strengths of each company to transform enterprise mobility through a new class of apps that leverage IBM’s Watson-based big data analytics cloud and add value to Apple's iPhone and iPad platforms in diverse industries.
IT Managers: Goodbye Reporting, Hello InsightNumerify
As an IT Manager you probably use operational analytic solutions like Splunk and SumoLogic to go deep into log data to tell you the health of your servers and applications, yet you still rely on spreadsheet to analyze your processes and people related data.
While KPI tools may help a little, we know with some of your problems getting to the root cause can be difficult and time consuming. Numerify Analytics gives you flexible and insight in visually appealing application to understand and improve your IT services by getting to the “Why” of things.
It's all about conversion. Every e-commerce business that cares about improving revenue has a narrow focus of optimizing their website to improve customer experience.
However, most companies still lack the ability to create realistic website performance tests due to limitations in their current test methods.
In this webinar you'll learn:
1) How to tie business metrics (ROI) with website performance metrics and real user data
2) How to build performance tests that will model user behavior on your site
3) How to correlate data analytics so you can troubleshoot bottlenecks to improve performance
Insight2014 ibm client_center_4_adv_analytics_7171IBMgbsNA
#IBMInsight session presentation "Your Competitive Advantage: The IBM Client Center for Advanced Analytics (CCAA)"
Introduction to the Client Center for Advanced Analytics, Analytics and Insight – deriving business value, Case Studies and Demo – using SPSS and BigInsights, Data, Capabilities and Infrastructure – bringing it all together, Getting Started with CCAA.
More at www.ibm.biz/BdEPRD
These slides - based on the webinar featuring Ingo Mierswa, CTO at RapidMiner, John Myers, managing research director at leading IT analyst firm Enterprise Management Associates (EMA), and Lyndsay Wise, research director at EMA - provide an overview of how to close the loop between predictive insights and action using big data analytics.
Building intelligent APIs - Andy Thurai, IBMPAPIs.io
The birth of a sophisticated Internet of Things has catapulted hybrid data collection, which mixes structured and unstructured data, to new heights. The goal with any analytics software is to find and improve better data sets rather than spending time in identifying, prepping, cleaning, and preparing the data. Not only is predicting and prescribing an action anticipating a future issue desired, but if the action is ignored then a forward thinking automatic adoption should suggest an advanced course correction based on previous action items not acted upon. Predictive analytics algorithms should recalibrate themselves. As the incoming data evolves, so do the algorithms – they must re-fit, re-predict and re-prescribe.
Andy Thurai, Program Director at IBM (API, IoT and Connected Cloud), discusses how the time has come for machines and humans to work together to make each other smarter. The combination of APIs, IoTs, big data, smarter analytics, and cognitive computing is transforming the way we see the future — and more importantly, what we do about it.
World of Watson 2016: Journey to Cognitive Excellence - Harness the Force of ...Julie Severance
Becoming a cognitive business is a journey, not a destination. A cognitive analytics culture is not something you can just buy or install. Although the right technology is crucial, its true value arises when the organizational mindset changes. Many organizations have learned to embrace analytics, but embracing cognitive is another step entirely, and it’s one that may be even more challenging. However, the possibilities are endless and the potential rewards make it worthwhile.
It's all about conversion. Every e-commerce business that cares about improving revenue has a narrow focus of optimizing their website to improve customer experience.
However, most companies still lack the ability to create realistic website performance tests due to limitations in their current test methods.
In this webinar you'll learn:
1) How to tie business metrics (ROI) with website performance metrics and real user data
2) How to build performance tests that will model user behavior on your site
3) How to correlate data analytics so you can troubleshoot bottlenecks to improve performance
Similar to Watson Analytics - Специалист по обработке данных "в коробке" (20)
Gbb14067 usenCFO perspectives on SAP S/4HANA and S/4HANA FinanceIrina Podlevskikh
S/4HANA Finance solution is a robust solution powered by
SAP HANA for the CFO office. It provides instant insights
with on-the-fly analysis across practically all dimensions of
financial data. In addition, the new HANA data model removes
system limitations linked to data aggregation. It offers an
intuitive user experience and the migration to S/4HANA
Finance solution is non-disruptive.
IBM Spectrum Protect. Надежные программные решения для резервного копировани...Irina Podlevskikh
IBM Spectrum Protect, упрощает защиту данных, будь то данные на физических или виртуальных носителях, в программно-определяемых или облачных средах. IBM Spectrum Protect дает организациям свободу выбора нужного ПО для управления данными и защиты данных.
Кроме того, это решение упрощает администрирование резервного копирования, повышает его эффективность, обеспечивает масштабирование мощностей и поддержку расширенных функций.
Решение, объединившее инновации интегрированной инфраструктуры Cisco UCS Integrated Infrastructure с эффективностью системы хранения данных IBM Storwize. Решение VersaStack предназначено для упрощения, повышения эффективности и универсализации процессов развертывания приложений, использующих облачные и мобильные технологии, аналитику и большие данные.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
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
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.
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.
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.
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.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
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.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
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.
