Making your Analytics Investment Pay Off - StampedeCon 2012StampedeCon
At StampedeCon 2012 in St. Louis, Bill Eldredge of Nokia presents: At Nokia, we expect to save millions on avoided license fees this year on a single “Big Data” project by creating a symbiotic relationship between our traditional RDBMS storage and our newer Hadoop cluster. Our hybrid approach to data enables us to manage the convergence of structured and unstructured data, and save money. In our case we use Hadoop to process and import data into traditional systems. We have found that this use of Hadoop as a preprocessing engine has enabled maximum value to be derived from our systems, our data and our people.
Petteri Uljas, Capgemini; Corporate VP, Head of Infrastructure Services; Eastern Europe, India and Latin America
Cloud doesn’t change everything
Evolutionary in implementation, revolutionary in usage.
Normal IT project methodologies apply (mostly).
Leverage processes and skills you already have.
Don’t throw everything out because a small part is new.
Everything that holds up “traditional” projects will hold up your first Cloud project.
Cetas Analytics as a Service for Predictive AnalyticsJ. David Morris
This document discusses how predictive analytics using big data can lead to successful recommendations and revenue maximization. It describes trends in data growth, the value of data analytics exceeding hardware costs, and how a unified analytics cloud platform can simplify infrastructure and optimize resources. Sample predictive analytics applications are outlined for industries like ecommerce, mobile, advertising, gaming, and IT, with the goal of revenue maximization and user engagement through recommendation engines and targeted placements. The cloudification of predictive analytics as an analytics-as-a-service approach is presented as the logical conclusion to fully leverage big data.
This document discusses how predictive analytics using big data leads to successful recommendations and revenue maximization. It outlines key trends like the growth of new data sources and analyzes how companies are using predictive analytics in applications like ecommerce, mobile, advertising, and gaming to optimize customer engagement and maximize profits. The document advocates taking predictive analytics to its logical conclusion through cloud-based analytics-as-a-service and leveraging big data to directly monetize insights from predictive modeling.
This document discusses business intelligence (BI) in the cloud. It begins by providing context on the growth of the global cloud market and how cloud impacts businesses and IT. The document then discusses current adoption of cloud BI, with small companies leading the way. It outlines the top three types of cloud BI being used. The presentation goes on to describe the capabilities of SAP BusinessObjects BI OnDemand, including accessing and visualizing data in the cloud, as well as sharing insights. It addresses concerns around data security in the cloud.
The document discusses dependability in cloud computing applications. It defines dependability as the ability of a system to deliver a service that can be trusted. In cloud environments, dependability concerns include instance and data failures, performance issues like latency during provisioning, and security threats from shared infrastructure. The document outlines techniques for handling stateful and stateless application components during failures to help achieve high dependability in cloud applications. These include checkpointing state periodically and replaying logged messages during instance recovery.
Taming OpenData and INSPIRE challenges with Open Source: lessons learned and ...smespire
GeoSolutions is an Italian company founded in 2006 that specializes in geospatial data processing, visualization, and open source software development. They discuss their work developing and supporting open source geospatial projects like GeoServer, GeoTools, GeoNetwork, and GeoBatch. They also discuss their experience implementing INSPIRE network service standards and addressing OpenData challenges through these open source solutions.
Making your Analytics Investment Pay Off - StampedeCon 2012StampedeCon
At StampedeCon 2012 in St. Louis, Bill Eldredge of Nokia presents: At Nokia, we expect to save millions on avoided license fees this year on a single “Big Data” project by creating a symbiotic relationship between our traditional RDBMS storage and our newer Hadoop cluster. Our hybrid approach to data enables us to manage the convergence of structured and unstructured data, and save money. In our case we use Hadoop to process and import data into traditional systems. We have found that this use of Hadoop as a preprocessing engine has enabled maximum value to be derived from our systems, our data and our people.
Petteri Uljas, Capgemini; Corporate VP, Head of Infrastructure Services; Eastern Europe, India and Latin America
Cloud doesn’t change everything
Evolutionary in implementation, revolutionary in usage.
Normal IT project methodologies apply (mostly).
Leverage processes and skills you already have.
Don’t throw everything out because a small part is new.
Everything that holds up “traditional” projects will hold up your first Cloud project.
Cetas Analytics as a Service for Predictive AnalyticsJ. David Morris
This document discusses how predictive analytics using big data can lead to successful recommendations and revenue maximization. It describes trends in data growth, the value of data analytics exceeding hardware costs, and how a unified analytics cloud platform can simplify infrastructure and optimize resources. Sample predictive analytics applications are outlined for industries like ecommerce, mobile, advertising, gaming, and IT, with the goal of revenue maximization and user engagement through recommendation engines and targeted placements. The cloudification of predictive analytics as an analytics-as-a-service approach is presented as the logical conclusion to fully leverage big data.
This document discusses how predictive analytics using big data leads to successful recommendations and revenue maximization. It outlines key trends like the growth of new data sources and analyzes how companies are using predictive analytics in applications like ecommerce, mobile, advertising, and gaming to optimize customer engagement and maximize profits. The document advocates taking predictive analytics to its logical conclusion through cloud-based analytics-as-a-service and leveraging big data to directly monetize insights from predictive modeling.
This document discusses business intelligence (BI) in the cloud. It begins by providing context on the growth of the global cloud market and how cloud impacts businesses and IT. The document then discusses current adoption of cloud BI, with small companies leading the way. It outlines the top three types of cloud BI being used. The presentation goes on to describe the capabilities of SAP BusinessObjects BI OnDemand, including accessing and visualizing data in the cloud, as well as sharing insights. It addresses concerns around data security in the cloud.
The document discusses dependability in cloud computing applications. It defines dependability as the ability of a system to deliver a service that can be trusted. In cloud environments, dependability concerns include instance and data failures, performance issues like latency during provisioning, and security threats from shared infrastructure. The document outlines techniques for handling stateful and stateless application components during failures to help achieve high dependability in cloud applications. These include checkpointing state periodically and replaying logged messages during instance recovery.
Taming OpenData and INSPIRE challenges with Open Source: lessons learned and ...smespire
GeoSolutions is an Italian company founded in 2006 that specializes in geospatial data processing, visualization, and open source software development. They discuss their work developing and supporting open source geospatial projects like GeoServer, GeoTools, GeoNetwork, and GeoBatch. They also discuss their experience implementing INSPIRE network service standards and addressing OpenData challenges through these open source solutions.
The document discusses cloud computing from an enterprise perspective. It provides an overview of NICTA, an Australian research organization, and its work on cloud computing solutions. It then summarizes a proof of concept experience conducted by NICTA for an enterprise, covering workload suitability for cloud, technical architecture, migration issues, and business/commercial considerations. Finally, it discusses challenges of software engineering for and in the cloud, such as data and architectural differences, and NICTA's current and future research in this area.
Intel Developer Forum: Taming the Big Data Tsunami
using Intel® Architecture by Clive D’Souza, Solutions Architect, Intel Corporation and
Dhruv Bansal, Chief Science Officer, Infochimps
Presentation dell - into the cloud with dellxKinAnx
The document discusses Dell's expertise in cloud computing and hyperscale solutions. It notes that Dell has developed over 40 platforms for hyperscale customers, has shipped over 600,000 servers powering major search engines and cloud providers, and is among the largest server manufacturers. The document promotes Dell's experience designing solutions for large-scale cloud and internet customers.
Gary Berger is a technical leader in Cisco's Office of the CTO with over 22 years of experience in infrastructure architecture, platform development, performance and capacity planning, and data center design. He has expertise in areas such as protocol architecture, application design and scalability, and software defined networking.
Asset Vision is a cloud-based IT asset management tool that allows users to quickly generate an accurate inventory of all hardware and software assets. It uses non-intrusive discovery technologies to build an inventory without requiring agents. The tool normalizes and enriches the discovered data to provide meaningful information. It also integrates with other IT management systems and enables flexible reporting and data analysis capabilities.
GWT 2014: Emergency Conference - 02 le soluzioni geospaziali per la gestione ...Planetek Italia Srl
Geospatial World Tour 2014: Emergency Conference.
Napoli, 28 maggio 2014.
Le soluzioni Geospaziali per la gestione delle emergenze.
Simone Colla, Hexagon Geospatial
TELUS Case Study: iVAULT implementation improved corporate intelligence eventspat
This document summarizes a webinar about TELUS's implementation of the iVAULT content management system. Some key points:
- iVAULT was implemented to improve TELUS's corporate intelligence by creating a centralized spatial data store and new FieldView application. This consolidated data from disparate legacy systems and maps like ArcGIS, MapGuide, and Google Maps.
- The new architecture included an Oracle spatial data store replicating TELUS infrastructure data from their Intergraph Framme system. This cleaned up issues and standardized the data.
- A new FieldView application was developed to provide customized analysis tools for various departments through a web interface on both desktop and mobile.
- The
This document provides an overview of a project to assess mapping technologies for connected vehicle applications. The project aims to determine the best technologies to support intelligent transportation systems and will analyze technologies like aerial imagery and vehicle-mounted sensors. A field test of mapping technologies was conducted and involved collecting road data using sensors on a test vehicle. The goal is to develop maps to enable safety and mobility applications by knowing vehicles' locations relative to the roadway and other vehicles.
Effective Data Collection and Management through Mobile Phone ApplicationsMichael Baker Jr., Inc.
This document discusses how mobile phone applications can effectively collect and manage data. It provides examples of using mobile apps for tasks like public needs assessments, design work, and capturing or analyzing large amounts of data by leveraging mobile technologies. Specific considerations for deploying smartphone apps include platform choice, connectivity needs, ruggedness, battery life, and GPS accuracy. The document outlines benefits like improved user efficiency, low costs, and ability to integrate maps, cameras, and GPS. Examples illustrated include infrastructure condition assessments, regulatory delineations, and stormwater permit tracking using mobile GIS apps.
Big Data Beyond Hadoop*: Research Directions for the FutureOdinot Stanislas
Michael Wrinn
Research Program Director, University Research Office,
Intel Corporation
Jason Dai
Engineering Director and Principal Engineer,
Intel Corporation
David Thoumas, OpenDataSoft CTO, about data API strategy (rich API vs. multiple end-points) for broadcasting data & making business
At APIdays 2012, the 1st European event dedicated to API world
This document discusses ZSL, a solutions provider based in Edison, NJ. It provides an introduction to cloud computing and ZSL's 8-phased approach to migrating enterprise applications to the cloud. It also outlines ZSL's cloud services, two case studies, and details on its practice areas, experience, certifications, and partnerships.
We are in the age of big data which involves collection of large datasets.Managing and processing large data sets is difficult with existing traditional database systems.Hadoop and Map Reduce has become one of the most powerful and popular tools for big data processing . Hadoop Map Reduce a powerful programming model is used for analyzing large set of data with parallelization, fault tolerance and load balancing and other features are it is elastic,scalable,efficient.MapReduce with cloud is combined to form a framework for storage, processing and analysis of massive machine maintenance data in a cloud computing environment.
Sdi technologies and implementation patterns (compress)Marco Wagemakers
This document discusses spatial data infrastructure (SDI) technologies and implementation patterns. It provides examples of SDI implementations at various geographic levels from local to global. It also describes how SDI can address issues like environment, social issues, and economics. The document highlights the INSPIRE initiative as an example of an SDI and how ArcGIS can be used to support INSPIRE. It discusses how SDI is evolving with new technologies and patterns like GIS online to make spatial data and services more accessible to a wider audience.
Hardware and software requirements for gisSumant Diwakar
This document discusses hardware and software requirements for geographic information systems (GIS). It recommends minimum hardware specifications for basic GIS tasks including processors, RAM, display, disk space, and operating systems. Larger projects may require more powerful dual or quad core machines. A variety of proprietary GIS software packages are also listed from vendors like ESRI, Autodesk, Intergraph, and others. Organizations should evaluate their goals, applications, data needs, and budgets to determine the best GIS hardware and software solutions.
TELUS Case Study: GIS for Telecommunicationseventspat
This document describes how TELUS implemented an iVAULT system to improve access to and use of their spatial data. Key points:
1. TELUS integrated their disparate GIS systems and data into a single iVAULT system with a spatial data store, allowing unified access for field users and departments.
2. The iVAULT system included a new FieldView application for viewing, searching, analyzing and editing spatial and attribute data via web and mobile.
3. The spatial data store cleaned up TELUS' IMAGE database and consolidated over 1,000 design files, improving data quality and access.
4. The unified system allows TELUS to better analyze customer and network data
This document discusses the benefits of moving enterprise utility GIS systems to the cloud. It begins by outlining challenges utilities currently face, such as increased data volume and complexity from smart grid technologies. This has led to greater data management challenges around quality, timeliness, and integration. The document then argues that the cloud can help address these issues by providing benefits like reduced costs, increased storage, flexibility, and mobility. It also allows IT teams to focus less on infrastructure maintenance. Finally, the document presents a two-step solution approach using ArcFM software hosted in the cloud to provide utilities with a complete GIS system.
The document discusses cloud computing from an enterprise perspective. It provides an overview of NICTA, an Australian research organization, and its work on cloud computing solutions. It then summarizes a proof of concept experience conducted by NICTA for an enterprise, covering workload suitability for cloud, technical architecture, migration issues, and business/commercial considerations. Finally, it discusses challenges of software engineering for and in the cloud, such as data and architectural differences, and NICTA's current and future research in this area.
Intel Developer Forum: Taming the Big Data Tsunami
using Intel® Architecture by Clive D’Souza, Solutions Architect, Intel Corporation and
Dhruv Bansal, Chief Science Officer, Infochimps
Presentation dell - into the cloud with dellxKinAnx
The document discusses Dell's expertise in cloud computing and hyperscale solutions. It notes that Dell has developed over 40 platforms for hyperscale customers, has shipped over 600,000 servers powering major search engines and cloud providers, and is among the largest server manufacturers. The document promotes Dell's experience designing solutions for large-scale cloud and internet customers.
Gary Berger is a technical leader in Cisco's Office of the CTO with over 22 years of experience in infrastructure architecture, platform development, performance and capacity planning, and data center design. He has expertise in areas such as protocol architecture, application design and scalability, and software defined networking.
Asset Vision is a cloud-based IT asset management tool that allows users to quickly generate an accurate inventory of all hardware and software assets. It uses non-intrusive discovery technologies to build an inventory without requiring agents. The tool normalizes and enriches the discovered data to provide meaningful information. It also integrates with other IT management systems and enables flexible reporting and data analysis capabilities.
GWT 2014: Emergency Conference - 02 le soluzioni geospaziali per la gestione ...Planetek Italia Srl
Geospatial World Tour 2014: Emergency Conference.
Napoli, 28 maggio 2014.
Le soluzioni Geospaziali per la gestione delle emergenze.
Simone Colla, Hexagon Geospatial
TELUS Case Study: iVAULT implementation improved corporate intelligence eventspat
This document summarizes a webinar about TELUS's implementation of the iVAULT content management system. Some key points:
- iVAULT was implemented to improve TELUS's corporate intelligence by creating a centralized spatial data store and new FieldView application. This consolidated data from disparate legacy systems and maps like ArcGIS, MapGuide, and Google Maps.
- The new architecture included an Oracle spatial data store replicating TELUS infrastructure data from their Intergraph Framme system. This cleaned up issues and standardized the data.
- A new FieldView application was developed to provide customized analysis tools for various departments through a web interface on both desktop and mobile.
- The
This document provides an overview of a project to assess mapping technologies for connected vehicle applications. The project aims to determine the best technologies to support intelligent transportation systems and will analyze technologies like aerial imagery and vehicle-mounted sensors. A field test of mapping technologies was conducted and involved collecting road data using sensors on a test vehicle. The goal is to develop maps to enable safety and mobility applications by knowing vehicles' locations relative to the roadway and other vehicles.
Effective Data Collection and Management through Mobile Phone ApplicationsMichael Baker Jr., Inc.
This document discusses how mobile phone applications can effectively collect and manage data. It provides examples of using mobile apps for tasks like public needs assessments, design work, and capturing or analyzing large amounts of data by leveraging mobile technologies. Specific considerations for deploying smartphone apps include platform choice, connectivity needs, ruggedness, battery life, and GPS accuracy. The document outlines benefits like improved user efficiency, low costs, and ability to integrate maps, cameras, and GPS. Examples illustrated include infrastructure condition assessments, regulatory delineations, and stormwater permit tracking using mobile GIS apps.
Big Data Beyond Hadoop*: Research Directions for the FutureOdinot Stanislas
Michael Wrinn
Research Program Director, University Research Office,
Intel Corporation
Jason Dai
Engineering Director and Principal Engineer,
Intel Corporation
David Thoumas, OpenDataSoft CTO, about data API strategy (rich API vs. multiple end-points) for broadcasting data & making business
At APIdays 2012, the 1st European event dedicated to API world
This document discusses ZSL, a solutions provider based in Edison, NJ. It provides an introduction to cloud computing and ZSL's 8-phased approach to migrating enterprise applications to the cloud. It also outlines ZSL's cloud services, two case studies, and details on its practice areas, experience, certifications, and partnerships.
We are in the age of big data which involves collection of large datasets.Managing and processing large data sets is difficult with existing traditional database systems.Hadoop and Map Reduce has become one of the most powerful and popular tools for big data processing . Hadoop Map Reduce a powerful programming model is used for analyzing large set of data with parallelization, fault tolerance and load balancing and other features are it is elastic,scalable,efficient.MapReduce with cloud is combined to form a framework for storage, processing and analysis of massive machine maintenance data in a cloud computing environment.
Sdi technologies and implementation patterns (compress)Marco Wagemakers
This document discusses spatial data infrastructure (SDI) technologies and implementation patterns. It provides examples of SDI implementations at various geographic levels from local to global. It also describes how SDI can address issues like environment, social issues, and economics. The document highlights the INSPIRE initiative as an example of an SDI and how ArcGIS can be used to support INSPIRE. It discusses how SDI is evolving with new technologies and patterns like GIS online to make spatial data and services more accessible to a wider audience.
Hardware and software requirements for gisSumant Diwakar
This document discusses hardware and software requirements for geographic information systems (GIS). It recommends minimum hardware specifications for basic GIS tasks including processors, RAM, display, disk space, and operating systems. Larger projects may require more powerful dual or quad core machines. A variety of proprietary GIS software packages are also listed from vendors like ESRI, Autodesk, Intergraph, and others. Organizations should evaluate their goals, applications, data needs, and budgets to determine the best GIS hardware and software solutions.
TELUS Case Study: GIS for Telecommunicationseventspat
This document describes how TELUS implemented an iVAULT system to improve access to and use of their spatial data. Key points:
1. TELUS integrated their disparate GIS systems and data into a single iVAULT system with a spatial data store, allowing unified access for field users and departments.
2. The iVAULT system included a new FieldView application for viewing, searching, analyzing and editing spatial and attribute data via web and mobile.
3. The spatial data store cleaned up TELUS' IMAGE database and consolidated over 1,000 design files, improving data quality and access.
4. The unified system allows TELUS to better analyze customer and network data
This document discusses the benefits of moving enterprise utility GIS systems to the cloud. It begins by outlining challenges utilities currently face, such as increased data volume and complexity from smart grid technologies. This has led to greater data management challenges around quality, timeliness, and integration. The document then argues that the cloud can help address these issues by providing benefits like reduced costs, increased storage, flexibility, and mobility. It also allows IT teams to focus less on infrastructure maintenance. Finally, the document presents a two-step solution approach using ArcFM software hosted in the cloud to provide utilities with a complete GIS system.
Self-Service Access and Exploration of Big DataInside Analysis
The Briefing Room with Robin Bloor and Cirro
Live Webcast on Dec. 11, 2012
As the information landscape expands with all kinds of Big Data, businesses are searching for ways to unite their traditional analytics with this new source of insight. One ambitious approach involves federating access to multiple data sources, even across various operating systems. The idea is to take analytic processing to the data, then intelligently assemble the results for a business user. Could this be the long-awaited alternative to data virtualization?
Check out this episode of The Briefing Room to hear veteran Analyst Robin Bloor explain how federated access to data sources can pave the way for a truly integrated data fabric. Bloor will be briefed by Mark Theissen of Cirro, who will tout his company's patent-pending Data Hub, which simplifies data access by federating queries across multiple sources of structured, semi-structured, and unstructured data. He'll discuss Cirro's cost based optimizer, smart caching, dynamic query plan re-optimization, normalization of cost estimates and a metadata repository for unstructured data sources.
Visit: http://www.insideanalysis.com
Enabling High Level Application Development In The Internet Of ThingsPankesh Patel
The Internet of Things (IoT) combines Wireless Sensor and Actuation Networks (WSANs), Pervasive
computing, and the elements of the \\traditional" Internet such as Web and database servers. This leads to
the dual challenges of scale and heterogeneity in these systems, which comprise a large number of devices of
dierent characteristics. In view of the above, developing IoT applications is challenging because it involves
dealing with a wide range of related issues, such as lack of separation of concerns, need for domain experts to
write low level code, and lack of specialized domain specic languages (DSLs). Existing software engineering
approaches only cover a limited subset of the above-mentioned challenges.
In this work, we propose an application development process for the IoT that aims to comprehensively
address the above challenges. We rst present the semantic model of the IoT, based on which we identify
the roles of the various stakeholders in the development process, viz., domain expert, software designer,
application developer, device developer, and network manager, along with their skills and responsibilities.
To aid them in their tasks, we propose a model-driven development approach which uses customized lan-
guages for each stage of the development process: Srijan Vocabulary Language (SVL) for specifying the
domain vocabulary, Srijan Architecture Language (SAL) for specifying the architecture of the application,
and Srijan Network Language (SNL) for expressing the properties of the network on which the application
will execute; each customized to the skill level and area of expertise of the relevant stakeholder. For the
application developer specifying the internal details of each software component, we propose the use of a
customized generated framework using a language such as Java. Our DSL-based approach is supported by
code generation and task-mapping techniques in an application development tool developed by us. Our
initial evaluation based on two realistic scenarios shows that the use of our techniques/framework succeeds
in improving productivity while developing IoT applications.
1. The document discusses Project Geode, an open source distributed in-memory database for big data applications. It provides scale-out performance, consistent operations across nodes, high availability, powerful developer features, and easy administration of distributed nodes.
2. The document outlines Geode's architecture and roadmap. It also discusses why the project is being open sourced under Apache and describes some key use cases and customers of Geode.
3. The presentation includes a demo of Geode's capabilities including partitioning, queries, indexing, colocation, and transactions.
Webinar: The Enterrpise Appstore - What is it and why you need it.Appear
The document discusses the benefits of an enterprise appstore for managing workforce mobility. It outlines how first generation mobility solutions had challenges around training, adoption and employee satisfaction that second generation solutions address through features like cloud-based platforms, BYOD support, and improved user interfaces. The presentation promotes an appstore that enables cross-platform mobile app development, integration with backend systems, and delivery of context-aware apps to connect employees, assets, customers and systems. Key success factors for such an appstore include supporting multiple devices and OSes, cloud-based deployment, and delivering apps tailored to user context.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
4. GeoSpatial Technologies
1. Manage Data : Vision
Where do we start ?
There are many Data Captation systems out there ...
Most probably having their own post-processing tools
But what’s next ?
Do we want to use Proprietary viewers ?
Do we want to use Proprietary solutions for service providers and end
users ?
Do we want to restrict software and processing capabilities and use of data
by the captation system ?
If I would propose a proprietary viewer for orthophoto’s in relation
to a specific camera, you would probably call me mildly retarded.
Then why does this happen to Mobile Mapping data ?
April 2013 4
5. GeoSpatial Technologies
1. Manage Data : Vision
So how can we solve this ? Two options.
A. Output must become Orbit GT chooses to do
generic both
some standards exist A?
(LAS, laszip, equirectangular or We can’t force hardware providers,
cubic panoramic image, ..) but we take OGC initiatives
B?
B. Import must become Today we support most systems
generic out there, even self-made setups
or adapted configurations.
That’s up to the software
Make abstraction of the captation system
April 2013 5
6. GeoSpatial Technologies
1. Manage Data : Tools
Now just how do we do that ?
IMPORT
flexibility towards a variety of imagery & point clouds
ORGANIZE
runs, projects, templates, library, metadata, document
OPTIMIZE
indexing, conversions, mr-pyramids, variety of tools to optimize access &
boost performance
April 2013 6
7. GeoSpatial Technologies
2. Manage Data : Tools
The IMPORT Procedure guides you through the steps.
It covers all data, import and conversion, optimization and organization
The online Knowledge Base documents all details.
April 2013 7
8. www.orbitgis.com/kb
GeoSpatial Technologies
2. Manage Data : Tools
For example : IMPORT
April 2013 8
10. GeoSpatial Technologies
2. Access Data : Vision
Data Volumes are Massive
High Server demands
Manage High End versus Low End users
Desktop / Enterprise / Web & Mobile
GIS / CAD Content Integration
Why use a viewer for e.g. LiDAR only ? What are the most valued
deliverables ? Isn’t that geodata, vector, GIS content ?
Well then, let’s bring that together.
April 2013 10
11. GeoSpatial Technologies
2. Access Data : Tools
The Solution is a proper Software Architecture
Desktop workstation for smaller businesses
Central Server for all storage
Client-Server workstations for larger enterprise
Remote clients
and Get it into your workflow
So let’s build an architecture that meets all of our needs,
from low end to high end, single desktop user to corporate wide
workflows, onto the web and mobile devices.
April 2013 11
13. GeoSpatial Technologies
2. Access Data : Single Storage, Multiple Use
LiDAR
Unlimited size, compressed, indexed
No need for many seperate small files
Imagery
360° images, equirectangular, cubic
Planar images, calibrated or not
Metadata
Projects Index
trajectory, hardware setup specs, ...
envelope, calibrations, accuracies, ...
April 2013 13
18. GeoSpatial Technologies
3. Extract Features : Vision
Extracting Features is not a single person job, so :
Keep it simple
Use the same procedures independent from content type
Minimize phases :
Directly into your workflow
Directly into you CAD / GIS
Isn’t it still the most important reason to use Mobile Mapping ?
It’s about how we can improve the knowledge of the reality around us without having to go to the
spot all the time over and over again.
But basically, we still keep on drawing CAD or GIS maps. That’s why we integrate them.
April 2013 18
19. GeoSpatial Technologies
3. Extract Features : Tools
Asset Inventory Management
Extract points, lines, areas
Save directly into GIS layers or database
Attribuate immediately
Enrich with snapshot & relation to source
Use a set of rules or formulas to include metadata, precision info and more
Stand-Alone and Company wide
GIS Layers can be directly exposed via Webservices
April 2013 19
25. GeoSpatial Technologies
4. Share - Publish - Embed : Vision
Reuse your massive data to the fullest
Publish to a variety of clients
Desktop, Web, Mobile Device, Enterprise systems
Embed in your favorite GIS / CAD host
Create new revenue from your data
Host your professional streetview WITH content
Get it our there. No extra efforts, just configure it.
The hard work has already been done !
April 2013 25
26. GeoSpatial Technologies
4. Share - Publish - Embed : Tools
Mobile Mapping Publisher
Couldn’t be easier
Control content, use permissions, traffic, ...
Low Bandwith clients
SDK’s to embed
Flex API
JavaScript API
DotNet API
April 2013 26
32. GeoSpatial Technologies
So ...
✓ CHALLENGE 1 : MANAGE DATA
✓ CHALLENGE 2 : ACCESS DATA
✓ CHALLENGE 3 : EXTRACT FEATURES
✓ CHALLENGE 4 : SHARE, PUBLISH, EMBED
DONE.
April 2013 32
33. GeoSpatial Technologies
ICT-analysts: “Everything is Information”
Project Leaders: “It’s about the Process and Workflow”
To get results, one needs solutions that can organize the
information in such“It’s about the Organization”
Managers: a way that processes and workflows are
optimized, efficient and effective.
Sales Men: “We don’t sell tools, we sell solutions”
CEO’s: “It’s about the result, not the technique”
courtesy R. Takken, GIS-Magazine
April 2013 33
34. GeoSpatial Technologies
Peter Bonne
VP Business Development
peter.bonne@orbitgis.com
watch the videos on youtube and vimeo www.orbitgis.com