Top 5 big data technology for a modern business to manage supply chains, quickly understand the business customer’s requirements and identify the fake transaction.
Big data predictive analytics in trading & asset management lars hamberg Lars Hamberg
Big Data Predictive Analytics in Trading & Asset Management - slides and key take-aways from keynote speech at Big Data Day AIM/KTH Royal Institute of Technology, Stockholm
Next-Gen Cloud Analytics with AWS, Big Data and Data VirtualizationDenodo
Watch Tekin's keynote presentation from Fast Data Strategy Virtual Summit here: https://goo.gl/RJon7n
The Denodo Platform for AWS enabled Logitech's cloud journey with minimal impact on business operations. The Denodo Platform acts a big data fabric layer and sources data for all of Logitech's analytics initiatives from descriptive to prescriptive to predictive analytics including NLP processing engines.
Attend this session to learn how Logitech:
• Reduced TCO such as infrastructure and operational expenses
• Empowered their business users with advanced analytics capabilities
• Uses AWS and Denodo as their innovation engine
From Data to Insights to Action: When Transactions and Analytics ConvergeAli Hodroj
The document discusses how analytics are converging with transactions as businesses seek insights from real-time data to drive personalized, omni-channel customer experiences, with examples of how an airline can use an in-memory computing platform called InsightEdge to analyze flight delay data and passenger data in real-time to predict and minimize disruptions. It also promotes visiting the GigaSpaces booth at an event to learn more about how InsightEdge can be used to perform decentralized analytics directly on transactional and streaming data.
1st Athens Big Data Meetup - 1st Talk - The Concept of Big DataAthens Big Data
This document discusses the concept of big data and its key characteristics. It introduces Konstantinos Chalkias and the companies he works for, Erybo Inc. and Safemarket Ltd. It then defines big data as large volumes of data in a variety of formats that are created and collected very rapidly. It lists the common "4 Vs" that characterize big data as variety, volume, velocity, and veracity. It also proposes adding more "Vs" to fully capture the complexity of big data.
RightScale Roadtrip - The Power of a Cloud-Enabled AgencyRightScale
This document summarizes a presentation about using RightScale technology for digital marketing campaigns. It discusses how RightScale allows for on-demand scalability to handle unpredictable traffic, quick provisioning to meet tight deadlines, and resilient architectures to reduce the risk of outages disrupting campaigns. Examples are given of companies using RightScale to scale a chocolate promotion and launch a virtual world in time for a catalog drop despite tight deadlines. RightScale is said to provide auto-scaling, cost optimization, monitoring and multi-region capabilities to help companies meet service level agreements and limit downtime.
You Have the Data, Now What? (Chris Lynch) - 2014 Boston Data Festival -freshdatabos
This document provides information about the 2014 Boston Data Festival hosted by Chris Lynch and Atlas Venture. It discusses the growth of the big data market and challenges of big data analytics. It also lists Atlas Venture's investments in several big data startups and describes Hack/Reduce, a Boston-based community space that provides resources for working with big data. The final pages promote a charity event on December 8th to help fight childhood cancer.
The document discusses the changing role of data and analytics in business. It notes that while tools like Hadoop excel at processing large amounts of data, they are slow for interactive business intelligence queries. Modern data platforms utilize in-memory analytics for low-latency querying and more advanced techniques like machine learning. The goal is to move successful analytic projects from a data science lab into regular business operations.
Big data predictive analytics in trading & asset management lars hamberg Lars Hamberg
Big Data Predictive Analytics in Trading & Asset Management - slides and key take-aways from keynote speech at Big Data Day AIM/KTH Royal Institute of Technology, Stockholm
Next-Gen Cloud Analytics with AWS, Big Data and Data VirtualizationDenodo
Watch Tekin's keynote presentation from Fast Data Strategy Virtual Summit here: https://goo.gl/RJon7n
The Denodo Platform for AWS enabled Logitech's cloud journey with minimal impact on business operations. The Denodo Platform acts a big data fabric layer and sources data for all of Logitech's analytics initiatives from descriptive to prescriptive to predictive analytics including NLP processing engines.
Attend this session to learn how Logitech:
• Reduced TCO such as infrastructure and operational expenses
• Empowered their business users with advanced analytics capabilities
• Uses AWS and Denodo as their innovation engine
From Data to Insights to Action: When Transactions and Analytics ConvergeAli Hodroj
The document discusses how analytics are converging with transactions as businesses seek insights from real-time data to drive personalized, omni-channel customer experiences, with examples of how an airline can use an in-memory computing platform called InsightEdge to analyze flight delay data and passenger data in real-time to predict and minimize disruptions. It also promotes visiting the GigaSpaces booth at an event to learn more about how InsightEdge can be used to perform decentralized analytics directly on transactional and streaming data.
1st Athens Big Data Meetup - 1st Talk - The Concept of Big DataAthens Big Data
This document discusses the concept of big data and its key characteristics. It introduces Konstantinos Chalkias and the companies he works for, Erybo Inc. and Safemarket Ltd. It then defines big data as large volumes of data in a variety of formats that are created and collected very rapidly. It lists the common "4 Vs" that characterize big data as variety, volume, velocity, and veracity. It also proposes adding more "Vs" to fully capture the complexity of big data.
RightScale Roadtrip - The Power of a Cloud-Enabled AgencyRightScale
This document summarizes a presentation about using RightScale technology for digital marketing campaigns. It discusses how RightScale allows for on-demand scalability to handle unpredictable traffic, quick provisioning to meet tight deadlines, and resilient architectures to reduce the risk of outages disrupting campaigns. Examples are given of companies using RightScale to scale a chocolate promotion and launch a virtual world in time for a catalog drop despite tight deadlines. RightScale is said to provide auto-scaling, cost optimization, monitoring and multi-region capabilities to help companies meet service level agreements and limit downtime.
You Have the Data, Now What? (Chris Lynch) - 2014 Boston Data Festival -freshdatabos
This document provides information about the 2014 Boston Data Festival hosted by Chris Lynch and Atlas Venture. It discusses the growth of the big data market and challenges of big data analytics. It also lists Atlas Venture's investments in several big data startups and describes Hack/Reduce, a Boston-based community space that provides resources for working with big data. The final pages promote a charity event on December 8th to help fight childhood cancer.
The document discusses the changing role of data and analytics in business. It notes that while tools like Hadoop excel at processing large amounts of data, they are slow for interactive business intelligence queries. Modern data platforms utilize in-memory analytics for low-latency querying and more advanced techniques like machine learning. The goal is to move successful analytic projects from a data science lab into regular business operations.
This document lists 20 big data project titles from 2018-19. The projects focus on topics like data compression, cybercrime classification, data deduplication in cloud computing, disease prediction using machine learning on healthcare data, privacy-preserving data clustering, anomaly detection in text streams, electricity price forecasting using big data analytics, and service rating prediction by analyzing mobile user location data.
Your big data audience insight big data show 24 apr 2013iCrossing
Presentation from the Big Data Show 2013 by iCrossing’s Data Strategist, Sam Zindel, on how Big Data can be used to provide consumer insight and brand loyalty.
Big data landscape v 3.0 - Matt Turck (FirstMark) Matt Turck
This document provides an overview of the big data landscape, covering infrastructure, databases, analytics platforms, applications, industries utilizing big data, and areas of the big data field like machine learning, data visualization, and artificial intelligence. It was created by Matt Turck, Sutian Dong, and FirstMark Capital to map the current state of big data in version 3.0.
This document discusses running a Spark cluster according to need. It defines big data and cloud computing, noting that big data refers to large or complex datasets that outgrow traditional data processing capabilities. Cloud computing is defined as enabling ubiquitous, convenient access to configurable computing resources over a network. The document suggests combining big data and cloud computing, and provides a demonstration.
The document provides an overview of the big data landscape, including definitions of big data, characteristics of big data, the big data market size and forecast, segmentation of the big data market by hardware, software and services revenues, investments in big data by industry, and an analysis of the competitive environment. It notes that big data refers to data that cannot be analyzed by traditional databases due to its high volume, velocity and variety, and that the big data market is expected to grow from $11.4 billion in 2012 to $47.8 billion in 2017.
Geo-Analytics with Apache Spark and In-Memory Data GridsAli Hodroj
This document discusses how Apache Spark can be used for large-scale geospatial analytics by combining it with an in-memory data grid like GigaSpaces XAP. It notes key customers that use GigaSpaces' product portfolio and highlights example use cases for geospatial insight in industries like financial services, retail, and insurance. The document then outlines an architecture for implementing true geospatial insight using batch and real-time data, closed-loop analytics, and a multi-tenant, geo-federated, and scale-out system, which requires an in-memory data grid like XAP for fast and elastic processing alongside Spark for large-scale data processing.
致詞歡迎:Big Data 無所不在,Data Technology 無 C 不歡Etu Solution
This document contains the opening remarks from Lin Longfen, the general manager of Jingcheng Group. It discusses how Gartner dropped "Big Data" from its hype cycle of emerging technologies in 2015 because it is now considered a mainstream part of many industries. Big data is still essential for major trends like the Internet of Things, Industry 4.0, and smart everything. The document emphasizes that understanding customers ("C") is key to a company's ("B") competitive advantage in the digital economy, and that leveraging industry data is a common development strategy across Jingcheng Group's business units.
Big Data, Big Deal? (A Big Data 101 presentation)Matt Turck
Background: I prepared this slide deck for a couple of “Big Data 101” guest lectures I did in February 2013 at New York University’s Stern School of Business and at The New School. They’re intended for a college level, non technical audience, as a first exposure to Big Data and related concepts. I have re-used a number of stats, graphics, cartoons and other materials freely available on the internet. Thanks to the authors of those materials.
The document discusses the confusing landscape of big data tools and applications. It provides an overview of the different types of structured and unstructured data as well as databases, analytics platforms, and visualization tools that can be used to manage and analyze both structured and unstructured data at massive scale. The document also includes various diagrams and infographics from different sources that depict the big data ecosystem and the many interrelated tools and technologies involved.
Francesco Furiani - Marketing is a serious business, moreover tracking and monetizing the campaign that allows your marketing to flourish is very important: our tool allows anyone to monitor, compare and optimize all those campaigns (delivered via links) in one place and to deliver insights about who's using those links. Making this infrastructure, making it works, deliver results in real-time (when necessary) and keep everyone happy from the customer to the CFO will be the point of this talk, from the design to the final result with an eye on the costs/risks/benefits of having everything in the cloud.
Consumers will increasingly expect retailers to offer highly customized buying recommendations at the right time through the right device.
Being able to follow these through with seamless and secure e-commerce transactions.
The potential of Data blending in every area from automotive telemetry to medical science to national security is enormous.
Big Data and Mobile Recruitment - Irish Recruiters Conf Dec 2012James Mailley
The document discusses big data and mobile recruitment. It outlines that big data is characterized by volume, variety, velocity, and veracity. It is growing exponentially, with 5 quintillion bytes of data created every 2 days from various sources like social media, sensors, and business. This huge amount of diverse data in many formats requires improved technology to process and store it quickly. However, a challenge is that only 2 in 3 business leaders trust the data they use for decisions due to issues of data quality as the number of sources grows. The document then discusses how big data and mobile can be leveraged for recruitment, with most companies not having mobile-enabled career sections on their websites. It poses questions for discussion on how big data and
Neo4j Graph Data Platform: Making Your Data More IntelligentNeo4j
This document discusses the Neo4j graph data platform and how it can help organizations make their data more intelligent. Some key points:
- By 2025, 175 zettabytes of data will be generated annually, but over half remains unquantified and untapped due to a lack of connections between data.
- Neo4j can unlock these connections through its graph database approach, which is designed for connected data. This allows for accelerated innovation through AI/ML and real-time connected insights.
- Graph databases like Neo4j provide significant performance advantages over relational and NoSQL databases for queries involving connections in data, enabling "minutes to milliseconds" response times even at large scale
The term Big Data is commonly associated with the three Vs that define properties or dimensions, Volume, Variety and Velocity. Volume refers to the amount of data; variety relates to the number of types of data and velocity refers to the speed of data processing.
An attempt at categorizing the thriving big data ecosystem by @mattturck and @shivonZ - comments are welcome (please add your thoughts on mattturck.com)
Here's the second version of our big data landscape. Thoughts, questions, comments? We'd love to hear your feedback in the comments section here: http://wp.me/p2dLS7-6A
CAPP is a context aware privacy platform that aims to research ways of sharing individuals' information without large centralized databases or leaving behind data traces that could make individuals vulnerable. It assumes a privacy first, intervention driven approach with a data minimalist design. The open source platform uses a distributed architecture and artificial intelligence to ascertain the reliability of shared attributes for identified use cases like emergency health data sharing. Key challenges include high certainty identification in a distributed system and protocol specifications for distributed data storage.
Explore the top 8 Leading Frameworks of PythonNexSoftsys
Create robust and scalable web applications using these top 8 leading Python frameworks. Get their introduction and uses, and choose a perfect framework that suits your project needs.
Key Factors to Consider While Selecting a Software Development CompanyNexSoftsys
Here are the key factors you should keep in mind when choosing a reliable software development company. Make an informed decision by considering these 16 essential factors for your project's success.
This document lists 20 big data project titles from 2018-19. The projects focus on topics like data compression, cybercrime classification, data deduplication in cloud computing, disease prediction using machine learning on healthcare data, privacy-preserving data clustering, anomaly detection in text streams, electricity price forecasting using big data analytics, and service rating prediction by analyzing mobile user location data.
Your big data audience insight big data show 24 apr 2013iCrossing
Presentation from the Big Data Show 2013 by iCrossing’s Data Strategist, Sam Zindel, on how Big Data can be used to provide consumer insight and brand loyalty.
Big data landscape v 3.0 - Matt Turck (FirstMark) Matt Turck
This document provides an overview of the big data landscape, covering infrastructure, databases, analytics platforms, applications, industries utilizing big data, and areas of the big data field like machine learning, data visualization, and artificial intelligence. It was created by Matt Turck, Sutian Dong, and FirstMark Capital to map the current state of big data in version 3.0.
This document discusses running a Spark cluster according to need. It defines big data and cloud computing, noting that big data refers to large or complex datasets that outgrow traditional data processing capabilities. Cloud computing is defined as enabling ubiquitous, convenient access to configurable computing resources over a network. The document suggests combining big data and cloud computing, and provides a demonstration.
The document provides an overview of the big data landscape, including definitions of big data, characteristics of big data, the big data market size and forecast, segmentation of the big data market by hardware, software and services revenues, investments in big data by industry, and an analysis of the competitive environment. It notes that big data refers to data that cannot be analyzed by traditional databases due to its high volume, velocity and variety, and that the big data market is expected to grow from $11.4 billion in 2012 to $47.8 billion in 2017.
Geo-Analytics with Apache Spark and In-Memory Data GridsAli Hodroj
This document discusses how Apache Spark can be used for large-scale geospatial analytics by combining it with an in-memory data grid like GigaSpaces XAP. It notes key customers that use GigaSpaces' product portfolio and highlights example use cases for geospatial insight in industries like financial services, retail, and insurance. The document then outlines an architecture for implementing true geospatial insight using batch and real-time data, closed-loop analytics, and a multi-tenant, geo-federated, and scale-out system, which requires an in-memory data grid like XAP for fast and elastic processing alongside Spark for large-scale data processing.
致詞歡迎:Big Data 無所不在,Data Technology 無 C 不歡Etu Solution
This document contains the opening remarks from Lin Longfen, the general manager of Jingcheng Group. It discusses how Gartner dropped "Big Data" from its hype cycle of emerging technologies in 2015 because it is now considered a mainstream part of many industries. Big data is still essential for major trends like the Internet of Things, Industry 4.0, and smart everything. The document emphasizes that understanding customers ("C") is key to a company's ("B") competitive advantage in the digital economy, and that leveraging industry data is a common development strategy across Jingcheng Group's business units.
Big Data, Big Deal? (A Big Data 101 presentation)Matt Turck
Background: I prepared this slide deck for a couple of “Big Data 101” guest lectures I did in February 2013 at New York University’s Stern School of Business and at The New School. They’re intended for a college level, non technical audience, as a first exposure to Big Data and related concepts. I have re-used a number of stats, graphics, cartoons and other materials freely available on the internet. Thanks to the authors of those materials.
The document discusses the confusing landscape of big data tools and applications. It provides an overview of the different types of structured and unstructured data as well as databases, analytics platforms, and visualization tools that can be used to manage and analyze both structured and unstructured data at massive scale. The document also includes various diagrams and infographics from different sources that depict the big data ecosystem and the many interrelated tools and technologies involved.
Francesco Furiani - Marketing is a serious business, moreover tracking and monetizing the campaign that allows your marketing to flourish is very important: our tool allows anyone to monitor, compare and optimize all those campaigns (delivered via links) in one place and to deliver insights about who's using those links. Making this infrastructure, making it works, deliver results in real-time (when necessary) and keep everyone happy from the customer to the CFO will be the point of this talk, from the design to the final result with an eye on the costs/risks/benefits of having everything in the cloud.
Consumers will increasingly expect retailers to offer highly customized buying recommendations at the right time through the right device.
Being able to follow these through with seamless and secure e-commerce transactions.
The potential of Data blending in every area from automotive telemetry to medical science to national security is enormous.
Big Data and Mobile Recruitment - Irish Recruiters Conf Dec 2012James Mailley
The document discusses big data and mobile recruitment. It outlines that big data is characterized by volume, variety, velocity, and veracity. It is growing exponentially, with 5 quintillion bytes of data created every 2 days from various sources like social media, sensors, and business. This huge amount of diverse data in many formats requires improved technology to process and store it quickly. However, a challenge is that only 2 in 3 business leaders trust the data they use for decisions due to issues of data quality as the number of sources grows. The document then discusses how big data and mobile can be leveraged for recruitment, with most companies not having mobile-enabled career sections on their websites. It poses questions for discussion on how big data and
Neo4j Graph Data Platform: Making Your Data More IntelligentNeo4j
This document discusses the Neo4j graph data platform and how it can help organizations make their data more intelligent. Some key points:
- By 2025, 175 zettabytes of data will be generated annually, but over half remains unquantified and untapped due to a lack of connections between data.
- Neo4j can unlock these connections through its graph database approach, which is designed for connected data. This allows for accelerated innovation through AI/ML and real-time connected insights.
- Graph databases like Neo4j provide significant performance advantages over relational and NoSQL databases for queries involving connections in data, enabling "minutes to milliseconds" response times even at large scale
The term Big Data is commonly associated with the three Vs that define properties or dimensions, Volume, Variety and Velocity. Volume refers to the amount of data; variety relates to the number of types of data and velocity refers to the speed of data processing.
An attempt at categorizing the thriving big data ecosystem by @mattturck and @shivonZ - comments are welcome (please add your thoughts on mattturck.com)
Here's the second version of our big data landscape. Thoughts, questions, comments? We'd love to hear your feedback in the comments section here: http://wp.me/p2dLS7-6A
CAPP is a context aware privacy platform that aims to research ways of sharing individuals' information without large centralized databases or leaving behind data traces that could make individuals vulnerable. It assumes a privacy first, intervention driven approach with a data minimalist design. The open source platform uses a distributed architecture and artificial intelligence to ascertain the reliability of shared attributes for identified use cases like emergency health data sharing. Key challenges include high certainty identification in a distributed system and protocol specifications for distributed data storage.
Explore the top 8 Leading Frameworks of PythonNexSoftsys
Create robust and scalable web applications using these top 8 leading Python frameworks. Get their introduction and uses, and choose a perfect framework that suits your project needs.
Key Factors to Consider While Selecting a Software Development CompanyNexSoftsys
Here are the key factors you should keep in mind when choosing a reliable software development company. Make an informed decision by considering these 16 essential factors for your project's success.
Python comes with so many features that let every newcomer start their coding career with Python. Find out the 8 most common reasons that make Python a Beginner-friendly Language.
Why Should Businesses Leverage Big Data Analytics?NexSoftsys
Elevate your business strategy with Big Data Analytics. This PPT explains to you why every business should use Big Data to evaluate the ways of business growth and success.
Best Practices to Follow for Test Automation ServicesNexSoftsys
Companies should follow standard approaches and processes to deliver the best quality automated software testing services. Here's our approach that helps you take a look at new ideas.
Why are Developers Moving Forward to Scala Programming?NexSoftsys
Scala is a powerful and flexible programming language that combines object-oriented and functional programming. It allows developers to accomplish more with less code, seamlessly integrates with existing Java libraries, and is highly scalable. Additionally, Scala promotes immutable data structures, functional programming, and advanced type inference to produce more reliable, concurrent, and less error-prone applications. It also has an active community providing support and resources.
By completing the software testing process, you can ensure that the software is working fine or not. Here are 8 more surprising benefits you should know about.
Advantages of Dynamics CRM with Invoicing for Managing PaymentsNexSoftsys
Integrating CRM into your business enables you to manage all the payment-related tasks accurately. Leverage the power of invoicing capabilities of Microsoft Dynamics CRM.
What is the Difference between Front-End and Back-End Development?NexSoftsys
Understand the main differences between front-end and back-end development to jump into the world of web development. Get comprehensive insights about their features and capabilities.
Top 10 Key Mistakes in Java Application DevelopmentNexSoftsys
Avoid common mistakes in Java development with this expert presentation on the top 10 mistakes to avoid. Improve code quality, Memory Management, Security, and Performance of your Java applications.
Comparison between Python 2 and Python 3NexSoftsys
Getting aware of the new versions of the languages is always beneficial as a developer. Compare Python 3 with Python 2 to know how Python comes with the new features. Try it to make your Python development easy.
A Comprehensive Overview of Python in Real-World ScenariosNexSoftsys
Python is an unparalleled programming language globally, and its universal acceptance is proof. So, gain a comprehensive understanding of Python's role in real-world scenarios across diverse industries like Machine Learning, IoT, Data Science, Web scraping, etc.
When installing or updating Java to your local computer, sometimes users get error 1603. Learn how to fix Java error code 1603 in just 3 simple steps. This comprehensive guide will help you troubleshoot and resolve the issue quickly.
Ways to Boost Sales Performance using CRM Mapping ToolNexSoftsys
To boost sales performance and generate good ROI, you have to adopt Dynamics CRM services. CRM Mapping Tool enables businesses in comprehensive data analysis, route optimization, data plotting, POI, etc.
Taking your business online is now becomes essential for business growth. So, to create effective and secure business applications, hire ASP.Net developers for seamless development.
Software Development Life Cycle (SDLC) defines the development flow of the software. Software Development Companies use SDLC to design, develop, deploy, and test the software.
Top Popular IDEs for Programming on Windows OSNexSoftsys
List of popular IDEs for programming on windows OS. Learn about Visual Studio, NetBeans, JetBrains Rider, IntelliJ IDEA, Android Studio and why developers use IDEs.
Challenges and Benefits of Big Data Analytics Technology in HealthcareNexSoftsys
As the healthcare sector adapts to big data analytics technology to grow business, some challenges need to be overcome, such as data security and privacy, data quality and visualization, etc.
How to implement Microsoft Dynamics 365 effectively?NexSoftsys
Dynamics 365 comes with powerful data collection and analysis tools that make your sale process even better than ever. You can achieve this with a successful Microsoft Dynamics 365 implementation.
Is the Future of Manual Software Testing in Jeopardy?NexSoftsys
Manual software testing services providers offer various testing services, including functional, integration, and system testing. Here is the write-up of the future situation of this industry.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
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.
AI-Powered Food Delivery Transforming App Development in Saudi Arabia.pdfTechgropse Pvt.Ltd.
In this blog post, we'll delve into the intersection of AI and app development in Saudi Arabia, focusing on the food delivery sector. We'll explore how AI is revolutionizing the way Saudi consumers order food, how restaurants manage their operations, and how delivery partners navigate the bustling streets of cities like Riyadh, Jeddah, and Dammam. Through real-world case studies, we'll showcase how leading Saudi food delivery apps are leveraging AI to redefine convenience, personalization, and efficiency.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
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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!
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
OpenID AuthZEN Interop Read Out - AuthorizationDavid Brossard
During Identiverse 2024 and EIC 2024, members of the OpenID AuthZEN WG got together and demoed their authorization endpoints conforming to the AuthZEN API
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
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
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
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.