Enterprise systems integration involves connecting disparate applications to produce unified functionality. There are different levels of integration maturity from point-to-point connections that require more maintenance over time, to integration tiers/middleware that standardize communication but have higher costs. The most advanced approach is service-oriented architecture (SOA) which defines services with standardized contracts to enable reuse and composite applications. Main architectural solutions for integration include message-oriented middleware with brokers, and business process management engines. Technical options cover messaging platforms and business process tools.
Geometric provides an intelligent approach to the migration of the PDM data in the context of applications and processes by assisting the customer in planning, assessment and suggesting right migration approach.
Hw09 Hadoop Based Data Mining Platform For The Telecom IndustryCloudera, Inc.
油
The document summarizes a parallel data mining platform called BC-PDM developed by China Mobile Communication Corporation to address the challenges of analyzing their large scale telecom data. Key points:
- BC-PDM is based on Hadoop and designed to perform ETL and data mining algorithms in parallel to enable scalable analysis of datasets exceeding hundreds of terabytes.
- The platform implements various ETL operations and data mining algorithms using MapReduce. Initial experiments showed a 10-50x speedup over traditional solutions.
- Future work includes improving data security, migrating online systems to the platform, and enhancing the user interface.
The document discusses the components and architecture of data warehouses and data marts. It describes how a data warehouse collects data from multiple operational systems and makes it available for analysis. Data marts contain subsets of data tailored for specific business functions or departments. The document outlines different types of data warehouse architectures including virtual, coarse-grained, central, distributed, and data marts-only. It also discusses challenges like integrating dirty data from multiple sources and prerequisites for a successful data warehouse implementation.
This document provides an overview of jBPM and BPMN. It discusses BPMN elements and how jBPM can be used to execute business processes defined using BPMN. The core concepts of jBPM include the knowledge base, sessions, process nodes like events, gateways and activities. It also discusses human tasks and how processes can be tested and debugged in jBPM.
This document discusses the features and capabilities of jPrase, a software project management tool. It covers jPrase's support for convention over configuration, modular builds and dependencies, plugins, multi-module projects, profiles, and continuous integration. The document is presented as an agenda with sections on each of these topics.
Russell 2012 introduction to spring integration and spring batchGaryPRussell
油
This document introduces Spring Integration and Spring Batch. It discusses how Spring Integration provides an extension of the Spring programming model to support enterprise integration patterns using pipes and filters. It also explains that Spring Batch supports common batch processing concerns like retries and skipping through pluggable strategies. Finally, it describes how Spring Integration and Spring Batch can be used together, such as launching batch jobs through messages or providing feedback with messages.
This document provides an overview and introduction to the Apache Wicket framework. It discusses the Mediatel project which uses Wicket along with other technologies like iBATIS, Spring, and Oracle. The agenda covers the conception of Wicket including its component-based architecture, models, AJAX capabilities, and common components like Application, Page and Panel. Resources for learning more about Wicket are also provided.
The OSI reference model outlines 7 layers of network functions: physical, data link, network, transport, session, presentation, and application. The top 4 layers provide program-to-program communication between hosts while the bottom 3 layers control physical delivery of data over the network.
Enabling Data as a Service with the JBoss Enterprise Data Services Platformprajods
油
This presentation was given at JUDCon 2013, Jan 17,18 at Bangalore. Presented by Prajod Vettiyattil and Gnanaguru Sattanathan. The presentation deals with the Why, What and How of Data Services and Data Services Platforms. It also explains the features of the JBoss Enterprise Data Services Platform.
The need for Data Services is explained with 3 Business use cases:
1. Post purchase customer experience improvement for an Auto manufacturer
2. Enterprise Data Access Layer
3. Data Services for Regulatory Reporting requirements like Dodd Frank
The OSI reference model has 7 layers - physical, data link, network, transport, session, presentation and application layer. Each layer has a specific function like the physical layer deals with transmission of raw bits over a communication channel, the data link layer handles error checking and frame delimiting, the network layer handles logical addressing and routing, the transport layer handles flow control and error checking, the session layer establishes and manages communication sessions, the presentation layer handles syntax and semantics of the information and the application layer supports applications and end-user processes. Data flows from the application layer downwards to the physical layer for transmission.
The document discusses the OSI model which consists of 7 layers - physical, data link, network, transport, session, presentation and application layer. Each layer has a specific processing function and data flows from top to bottom, with each layer adding its own header. The layers are described in detail with examples of protocols and functions at each layer.
Creating Data Hubs to Enhance Information SharingInnoTech
油
Data Bridge Management creates data hubs to enhance information sharing between organizations. It integrates data sharing and analytic systems through a centralized "Data Bridge" information sharing hub. This reduces losses from threats while saving lives and resources by enabling accurate information access and analysis. However, information sharing faces challenges around communication, access to data across different platforms and formats, and disconnected data "stovepipes". Data Bridge Management's solution is a brokered system that enforces agreements to enable secure access to various structured and unstructured data sources in a centralized way. It has implemented regional resiliency and emergency response hubs as well as proposed technology transfer and supply chain security hubs.
The document discusses supply chain management systems (SCM). SCM involves coordinating materials, information, and finances as products move from suppliers to consumers. The goal of SCM is to reduce inventory levels while ensuring products are available when needed. Sophisticated software systems and web-based applications are used to manage SCM for companies. The document then provides details on the proposed supply chain management system, including system architecture, data flow diagrams, entity relationship diagrams, and screen designs for the supplier, distributor and manufacturer modules.
Client/server computing is an architecture where thin client machines make requests to centralized servers for applications and data. A basic definition is that a client makes a request for data from a server, which then returns the results. The major focus in client/server systems is on software, with most application processing done on the client side and services like databases accessed from the server side. Common types of servers include file servers, data servers, compute servers, database servers, and communication servers.
Information Virtualization: Query Federation on Data LakesDataWorks Summit
油
This document discusses information virtualization and query federation on data lakes. It provides examples of how information virtualization hides the complexity of integrating data from different sources and allows queries to span multiple data repositories. It also discusses best practices for query federation, including avoiding complex joins across many systems and keeping statistics up to date on all tables in a federated system.
The document summarizes the results of an assessment of a company's pricing data across four key dimensions: quality, transformation, granularity, and accessibility. The assessment identified various challenges with the data, including a lack of customer hierarchy data, data quality issues requiring transformation, and inconsistencies between the data and financial statements. Scores were provided on a scale of 0 to 9 for each business department. The quality dimension received the lowest scores overall, indicating that improving data quality will be important for a successful pricing program.
Interoperability for Intelligence Applications using Data-Centric MiddlewareGerardo Pardo-Castellote
油
Presentation at the May 2012 Intelligence Workshop held in Rome Italy.
Interoperability is key to reducing cost in the development and maintenance of applications that span multiple providers or must be supported over long periods of time. This presentation describes the role of network middleware technologies in such systems and how the use of a data-centric middleware, such as OMG DDS, makes developing such systems easier and more cost-effective.
This document provides an overview of Microsoft Cloud Platform. It discusses what cloud computing is, the different service categories and cloud types. It then describes Microsoft's cloud strategy and history in cloud computing. The rest of the document details Microsoft's cloud infrastructure including their global data center network, server container deployment, and categories of cloud services like compute, storage, data and platform services. Pricing models for consumption, subscription and volume licensing are also mentioned.
This webinar discusses multi-tenant business intelligence in a cloud computing environment. It defines multi-tenancy as a single software instance serving multiple client organizations. The webinar examines four approaches to multi-tenant BI and the benefits of each. It also outlines the steps to onboard a new client for each approach. Finally, it discusses considerations for choosing a multi-tenant BI solution and promotes the unique combination of innovations from SwiftKnowledge.
IBM Smarter Business 2012 - PureSystems - PureDataIBM Sverige
油
1) IBM's PureSystems are expert integrated systems that simplify IT challenges around big data by capturing built-in expertise and deeply integrating hardware and software.
2) PureSystems deliver greater simplicity, speed, and lower cost across the entire IT lifecycle from design to deployment to management through pre-integration and automation.
3) The PureData System delivers optimized data platforms and services for transactions, analytics, and operational analytics workloads through scale-out clusters of DB2, Netezza, and other technologies.
The document discusses developing line-of-business applications with Microsoft Silverlight, outlining an agenda that includes recommended patterns like MVVM, communications using WCF RIA Services, extending applications beyond the browser to be installed locally, and enabling extensibility through frameworks like Prism and MEF. The presenter Nuno Godinho is then introduced along with his background and areas of expertise in Silverlight development.
Client server computing_keypoint_and_questionslucky94527
油
This document contains the syllabus for the subject "Client Server Computing" taught in the third semester of a bachelor's degree program. It includes 5 units covering introductions to client server concepts, client/server operating systems, the client, the server, and the relationship between client server and the internet. For each unit, it lists the topics that will be covered in 9 lecture hours. It also provides the textbook and reference books for the course, along with sample key notes and a question bank.
Silverlight And .Net Ria Services Building Lob And Business Applications Wi...rsnarayanan
油
The document discusses building data-driven rich internet applications (RIAs) using Silverlight 3.0 RIA Services. It outlines some of the challenges with current technologies for developing RIAs and how RIA Services addresses these challenges by providing a comprehensive architecture for building RIAs. Key features of RIA Services include focusing on data access and management across client and server, providing a unified development model, and establishing a prescriptive pattern for common development scenarios.
SDN and NFV Value in Business Services - A Presentation By Cox CommunicationsCisco Service Provider
油
Joint presentation on behalf of the Society of Cable Telecommunications Engineers (SCTE) between Cox Communications (Mazen Khaddem) and Cisco Systems (Dr. Loukas Paraschis). Presentation covers different SDN categories, NFV examples in business services, and use cases for WAN SDN.
The presentation provides an introduction to enterprise applications capacity planning using queuing models. Oracles Consulting uses presented methodology to estimate hardware architecture and capacity of planned for deployment enterprise applications for Oracle customers.
NET RIA Services - Building Data-Driven Applications with Microsoft Silverlig...goodfriday
油
Learn how Microsoft is simplifying the traditional n-tier application pattern by bringing together ASP.NET and Silverlight. Learn about patterns for working with data, implementing reusable and independently testable application logic, and application services that readily scale with growing requirements.
Cisco Connect 2018 Thailand - Cisco aci delivering intent for data center net...NetworkCollaborators
油
The document discusses delivering intent for data center networking using Cisco's Network Assurance Engine. It notes that app is the new business, multicloud is the new data center, and developer is the new customer. It then discusses Cisco's intent lifecycle including automation, intent, assurance, analytics and more. It highlights some key Cisco products like ACI and Tetration and discusses how the Network Assurance Engine uses mathematical models and data collection to provide comprehensive, intelligent and continuous assurance of network intent.
Getting Started with AWS - Enterprise Landing Zone for Terraform Learning & D...Chris Wahl
油
Recording: https://youtu.be/PASG0NTKUQA?si=1Ih7O9z0Lk0IzX9n
Welcome innovators! In this comprehensive tutorial, you will learn how to get started with AWS Cloud and Terraform to build an enterprise-like landing zone for a secure, low-cost environment to develop with Terraform. We'll guide you through setting up AWS Control Tower, Identity and Access Management, and creating a sandbox account, ensuring you have a safe and controlled area for learning and development. You'll also learn about budget management, single sign-on setup, and using AWS organizations for policy management. Plus, dive deep into Terraform basics, including setting up state management, migrating local state to remote state, and making resource modifications using your new infrastructure as code skills. Perfect for beginners looking to master AWS and Terraform essentials!
Blockchain is revolutionizing industries by enhancing security, transparency, and automation. From supply chain management and finance to healthcare and real estate, blockchain eliminates inefficiencies, prevents fraud, and streamlines operations.
What You'll Learn in This Presentation:
1. How blockchain enables real-time tracking & fraud prevention
2. The impact of smart contracts & decentralized finance (DeFi)
3. Why businesses should adopt secure and automated blockchain solutions
4. Real-world blockchain applications across multiple industries
Explore the future of blockchain and its practical benefits for businesses!
The OSI reference model outlines 7 layers of network functions: physical, data link, network, transport, session, presentation, and application. The top 4 layers provide program-to-program communication between hosts while the bottom 3 layers control physical delivery of data over the network.
Enabling Data as a Service with the JBoss Enterprise Data Services Platformprajods
油
This presentation was given at JUDCon 2013, Jan 17,18 at Bangalore. Presented by Prajod Vettiyattil and Gnanaguru Sattanathan. The presentation deals with the Why, What and How of Data Services and Data Services Platforms. It also explains the features of the JBoss Enterprise Data Services Platform.
The need for Data Services is explained with 3 Business use cases:
1. Post purchase customer experience improvement for an Auto manufacturer
2. Enterprise Data Access Layer
3. Data Services for Regulatory Reporting requirements like Dodd Frank
The OSI reference model has 7 layers - physical, data link, network, transport, session, presentation and application layer. Each layer has a specific function like the physical layer deals with transmission of raw bits over a communication channel, the data link layer handles error checking and frame delimiting, the network layer handles logical addressing and routing, the transport layer handles flow control and error checking, the session layer establishes and manages communication sessions, the presentation layer handles syntax and semantics of the information and the application layer supports applications and end-user processes. Data flows from the application layer downwards to the physical layer for transmission.
The document discusses the OSI model which consists of 7 layers - physical, data link, network, transport, session, presentation and application layer. Each layer has a specific processing function and data flows from top to bottom, with each layer adding its own header. The layers are described in detail with examples of protocols and functions at each layer.
Creating Data Hubs to Enhance Information SharingInnoTech
油
Data Bridge Management creates data hubs to enhance information sharing between organizations. It integrates data sharing and analytic systems through a centralized "Data Bridge" information sharing hub. This reduces losses from threats while saving lives and resources by enabling accurate information access and analysis. However, information sharing faces challenges around communication, access to data across different platforms and formats, and disconnected data "stovepipes". Data Bridge Management's solution is a brokered system that enforces agreements to enable secure access to various structured and unstructured data sources in a centralized way. It has implemented regional resiliency and emergency response hubs as well as proposed technology transfer and supply chain security hubs.
The document discusses supply chain management systems (SCM). SCM involves coordinating materials, information, and finances as products move from suppliers to consumers. The goal of SCM is to reduce inventory levels while ensuring products are available when needed. Sophisticated software systems and web-based applications are used to manage SCM for companies. The document then provides details on the proposed supply chain management system, including system architecture, data flow diagrams, entity relationship diagrams, and screen designs for the supplier, distributor and manufacturer modules.
Client/server computing is an architecture where thin client machines make requests to centralized servers for applications and data. A basic definition is that a client makes a request for data from a server, which then returns the results. The major focus in client/server systems is on software, with most application processing done on the client side and services like databases accessed from the server side. Common types of servers include file servers, data servers, compute servers, database servers, and communication servers.
Information Virtualization: Query Federation on Data LakesDataWorks Summit
油
This document discusses information virtualization and query federation on data lakes. It provides examples of how information virtualization hides the complexity of integrating data from different sources and allows queries to span multiple data repositories. It also discusses best practices for query federation, including avoiding complex joins across many systems and keeping statistics up to date on all tables in a federated system.
The document summarizes the results of an assessment of a company's pricing data across four key dimensions: quality, transformation, granularity, and accessibility. The assessment identified various challenges with the data, including a lack of customer hierarchy data, data quality issues requiring transformation, and inconsistencies between the data and financial statements. Scores were provided on a scale of 0 to 9 for each business department. The quality dimension received the lowest scores overall, indicating that improving data quality will be important for a successful pricing program.
Interoperability for Intelligence Applications using Data-Centric MiddlewareGerardo Pardo-Castellote
油
Presentation at the May 2012 Intelligence Workshop held in Rome Italy.
Interoperability is key to reducing cost in the development and maintenance of applications that span multiple providers or must be supported over long periods of time. This presentation describes the role of network middleware technologies in such systems and how the use of a data-centric middleware, such as OMG DDS, makes developing such systems easier and more cost-effective.
This document provides an overview of Microsoft Cloud Platform. It discusses what cloud computing is, the different service categories and cloud types. It then describes Microsoft's cloud strategy and history in cloud computing. The rest of the document details Microsoft's cloud infrastructure including their global data center network, server container deployment, and categories of cloud services like compute, storage, data and platform services. Pricing models for consumption, subscription and volume licensing are also mentioned.
This webinar discusses multi-tenant business intelligence in a cloud computing environment. It defines multi-tenancy as a single software instance serving multiple client organizations. The webinar examines four approaches to multi-tenant BI and the benefits of each. It also outlines the steps to onboard a new client for each approach. Finally, it discusses considerations for choosing a multi-tenant BI solution and promotes the unique combination of innovations from SwiftKnowledge.
IBM Smarter Business 2012 - PureSystems - PureDataIBM Sverige
油
1) IBM's PureSystems are expert integrated systems that simplify IT challenges around big data by capturing built-in expertise and deeply integrating hardware and software.
2) PureSystems deliver greater simplicity, speed, and lower cost across the entire IT lifecycle from design to deployment to management through pre-integration and automation.
3) The PureData System delivers optimized data platforms and services for transactions, analytics, and operational analytics workloads through scale-out clusters of DB2, Netezza, and other technologies.
The document discusses developing line-of-business applications with Microsoft Silverlight, outlining an agenda that includes recommended patterns like MVVM, communications using WCF RIA Services, extending applications beyond the browser to be installed locally, and enabling extensibility through frameworks like Prism and MEF. The presenter Nuno Godinho is then introduced along with his background and areas of expertise in Silverlight development.
Client server computing_keypoint_and_questionslucky94527
油
This document contains the syllabus for the subject "Client Server Computing" taught in the third semester of a bachelor's degree program. It includes 5 units covering introductions to client server concepts, client/server operating systems, the client, the server, and the relationship between client server and the internet. For each unit, it lists the topics that will be covered in 9 lecture hours. It also provides the textbook and reference books for the course, along with sample key notes and a question bank.
Silverlight And .Net Ria Services Building Lob And Business Applications Wi...rsnarayanan
油
The document discusses building data-driven rich internet applications (RIAs) using Silverlight 3.0 RIA Services. It outlines some of the challenges with current technologies for developing RIAs and how RIA Services addresses these challenges by providing a comprehensive architecture for building RIAs. Key features of RIA Services include focusing on data access and management across client and server, providing a unified development model, and establishing a prescriptive pattern for common development scenarios.
SDN and NFV Value in Business Services - A Presentation By Cox CommunicationsCisco Service Provider
油
Joint presentation on behalf of the Society of Cable Telecommunications Engineers (SCTE) between Cox Communications (Mazen Khaddem) and Cisco Systems (Dr. Loukas Paraschis). Presentation covers different SDN categories, NFV examples in business services, and use cases for WAN SDN.
The presentation provides an introduction to enterprise applications capacity planning using queuing models. Oracles Consulting uses presented methodology to estimate hardware architecture and capacity of planned for deployment enterprise applications for Oracle customers.
NET RIA Services - Building Data-Driven Applications with Microsoft Silverlig...goodfriday
油
Learn how Microsoft is simplifying the traditional n-tier application pattern by bringing together ASP.NET and Silverlight. Learn about patterns for working with data, implementing reusable and independently testable application logic, and application services that readily scale with growing requirements.
Cisco Connect 2018 Thailand - Cisco aci delivering intent for data center net...NetworkCollaborators
油
The document discusses delivering intent for data center networking using Cisco's Network Assurance Engine. It notes that app is the new business, multicloud is the new data center, and developer is the new customer. It then discusses Cisco's intent lifecycle including automation, intent, assurance, analytics and more. It highlights some key Cisco products like ACI and Tetration and discusses how the Network Assurance Engine uses mathematical models and data collection to provide comprehensive, intelligent and continuous assurance of network intent.
Getting Started with AWS - Enterprise Landing Zone for Terraform Learning & D...Chris Wahl
油
Recording: https://youtu.be/PASG0NTKUQA?si=1Ih7O9z0Lk0IzX9n
Welcome innovators! In this comprehensive tutorial, you will learn how to get started with AWS Cloud and Terraform to build an enterprise-like landing zone for a secure, low-cost environment to develop with Terraform. We'll guide you through setting up AWS Control Tower, Identity and Access Management, and creating a sandbox account, ensuring you have a safe and controlled area for learning and development. You'll also learn about budget management, single sign-on setup, and using AWS organizations for policy management. Plus, dive deep into Terraform basics, including setting up state management, migrating local state to remote state, and making resource modifications using your new infrastructure as code skills. Perfect for beginners looking to master AWS and Terraform essentials!
Blockchain is revolutionizing industries by enhancing security, transparency, and automation. From supply chain management and finance to healthcare and real estate, blockchain eliminates inefficiencies, prevents fraud, and streamlines operations.
What You'll Learn in This Presentation:
1. How blockchain enables real-time tracking & fraud prevention
2. The impact of smart contracts & decentralized finance (DeFi)
3. Why businesses should adopt secure and automated blockchain solutions
4. Real-world blockchain applications across multiple industries
Explore the future of blockchain and its practical benefits for businesses!
William Maclyn Murphy McRae, a logistics expert with 9+ years of experience, is known for optimizing supply chain operations and consistently exceeding industry standards. His strategic approach, combined with hands-on execution, has streamlined distribution processes, reduced lead times, and consistently delivered exceptional results.
5 Best Agentic AI Frameworks for 2025.pdfSoluLab1231
油
AI chatbots use generative AI to develop answers from a single interaction. When someone asks a question, the chatbot responds using a natural language process (NLP). Agentic AI, the next wave of artificial intelligence, goes beyond this by solving complicated multistep problems on its way by using advanced reasoning and iterative planning. Additionally, it is expected to improve operations and productivity across all sectors.
Bedrock Data Automation (Preview): Simplifying Unstructured Data ProcessingZilliz
油
Bedrock Data Automation (BDA) is a cloud-based service that simplifies the process of extracting valuable insights from unstructured contentsuch as documents, images, video, and audio. Come learn how BDA leverages generative AI to automate the transformation of multi-modal data into structured formats, enabling developers to build applications and automate complex workflows with greater speed and accuracy.
Mastering ChatGPT & LLMs for Practical Applications: Tips, Tricks, and Use CasesSanjay Willie
油
Our latest session with Astiostech covered how to unlock the full potential of ChatGPT and LLMs for real-world use!
Key Takeaways:
Effective Prompting: Crafting context-specific, high-quality prompts for optimal AI responses.
Advanced ChatGPT Features: Managing system prompts, conversation memory, and file uploads.
Optimizing AI Outputs: Refining responses, handling large texts, and knowing when fine-tuning is needed.
Competitive Insights: Exploring how ChatGPT compares with other AI tools.
Business & Content Use Cases: From summarization to SEO, sales, and audience targeting.
The session provided hands-on strategies to make AI a powerful tool for content creation, decision-making, and business growth.
Are you using AI effectively in your workflow? Lets discuss how it can improve efficiency and creativity!
#AI #ChatGPT #PromptEngineering #ArtificialIntelligence #LLM #Productivity #Astiostech
Dev Dives: Unlock the future of automation with UiPath Agent BuilderUiPathCommunity
油
This webinar will offer you a first look at the powerful capabilities of UiPath Agent Builder, designed to streamline your automation processes and enhance your workflow efficiency.
During the session, you will:
- Discover how to build agents with low-code experience, making it accessible for both developers and business users.
- Learn how to leverage automations and activities as tools within your agents, enabling them to handle complex and dynamic workflows.
- Gain insights into the AI Trust Layer, which provides robust management and monitoring capabilities, ensuring trust and transparency in your automation processes.
- See how agents can be deployed and integrated with your existing UiPath cloud and Studio environments.
Speaker:
Zach Eslami, Sr. Manager, Product Management Director, UiPath
Register for our upcoming Dev Dives March session:
Unleash the power of macOS Automation with UiPath
AMER: https://bit.ly/Dev_Dives_AMER_March
EMEA & APJ:https://bit.ly/Dev_Dives_EMEA_APJ_March
This session was streamed live on February 27, 2025, 15:00 GMT.
Check out future Dev Dives 2025 sessions at:
https://bit.ly/Dev_Dives_2025
Caching for Performance Masterclass: Caching StrategiesScyllaDB
油
Exploring the tradeoffs of common caching strategies and a look at the architectural differences.
- Which strategies exist
- When to apply different strategies
- ScyllaDB cache design
AI in Medical Diagnostics The Future of HealthcareVadim Nareyko
油
What Youll Learn:
What is AI in medical diagnostics and how it works?
How AI enhances accuracy, speed, and accessibility in disease detection.
Real-world examples from leading innovators like Google Health, IBM Watson, and Siemens Healthineers.
The cutting-edge AI technologies driving this transformation, including computer vision, natural language processing, and federated learning.
The challenges, opportunities, and future trends in AI-powered diagnostics.
________________________________________
Why AI in Healthcare Matters:
Traditional diagnosis relies heavily on manual interpretation, making it time-consuming and sometimes prone to human error. AI-driven diagnostic systems analyze vast amounts of medical data faster and more accurately, helping doctors detect diseases in their early stages.
From automated radiology analysis to AI-assisted pathology and real-time patient monitoring, these technologies are revolutionizing healthcare, telemedicine, and personalized treatment.
Understanding Traditional AI with Custom Vision & MuleSoft.pptxshyamraj55
油
Understanding Traditional AI with Custom Vision & MuleSoft.pptx | ### 際際滷 Deck Description:
This presentation features Atul, a Senior Solution Architect at NTT DATA, sharing his journey into traditional AI using Azure's Custom Vision tool. He discusses how AI mimics human thinking and reasoning, differentiates between predictive and generative AI, and demonstrates a real-world use case. The session covers the step-by-step process of creating and training an AI model for image classification and object detectionspecifically, an ad display that adapts based on the viewer's gender. Atulavan highlights the ease of implementation without deep software or programming expertise. The presentation concludes with a Q&A session addressing technical and privacy concerns.
DealBook of Ukraine: 2025 edition | AVentures CapitalYevgen Sysoyev
油
The DealBook is our annual overview of the Ukrainian tech investment industry. This edition comprehensively covers the full year 2024 and the first deals of 2025.
This is session #3 of the 5-session online study series with Google Cloud, where we take you onto the journey learning generative AI. Youll explore the dynamic landscape of Generative AI, gaining both theoretical insights and practical know-how of Google Cloud GenAI tools such as Gemini, Vertex AI, AI agents and Imagen 3.
Computational Photography: How Technology is Changing Way We Capture the WorldHusseinMalikMammadli
油
Computational Photography (Computer Vision/Image): How Technology is Changing the Way We Capture the World
He巽 d端端nm端s端n端zm端, m端asir smartfonlar v kameralar nec bu qdr g旦zl g旦r端nt端lr yarad脹r? Bunun sirri Computational Fotoqrafiyas脹nda(Computer Vision/Imaging) gizlidirkillri 巽km v emal etm 端sulumuzu tkmilldirn, komp端ter elmi il fotoqrafiyan脹n inqilabi birlmsi.
Not a Kubernetes fan? The state of PaaS in 2025Anthony Dahanne
油
Kubernetes won the containers orchestration war. But has it made deploying your apps easier?
Let's explore some of Kubernetes extensive app developer tooling, but mainly what the PaaS space looks like in 2025; 18 years after Heroku made it popular.
Is Heroku still around? What about Cloud Foundry?
And what are those new comers (fly.io, railway, porter.sh, etc.) worth?
Did the Cloud giants replace them all?
UiPath Document Understanding - Generative AI and Active learning capabilitiesDianaGray10
油
This session focus on Generative AI features and Active learning modern experience with Document understanding.
Topics Covered:
Overview of Document Understanding
How Generative Annotation works?
What is Generative Classification?
How to use Generative Extraction activities?
What is Generative Validation?
How Active learning modern experience accelerate model training?
Q/A
If you have any questions or feedback, please refer to the "Women in Automation 2025" dedicated Forum thread. You can find there extra details and updates.
Revolutionizing Field Service: How LLMs Are Powering Smarter Knowledge Access...Earley Information Science
油
Revolutionizing Field Service with LLM-Powered Knowledge Management
Field service technicians need instant access to accurate repair information, but outdated knowledge systems often create frustrating delays. Large Language Models (LLMs) are changing the gameenhancing knowledge retrieval, streamlining troubleshooting, and reducing technician dependency on senior staff.
In this webinar, Seth Earley and industry experts Sanjay Mehta, and Heather Eisenbraun explore how LLMs and Retrieval-Augmented Generation (RAG) are transforming field service operations. Discover how AI-powered knowledge management is improving efficiency, reducing downtime, and elevating service quality.
LLMs for Instant Knowledge Retrieval How AI-driven search dramatically cuts troubleshooting time.
Structured Data & AI Why high-quality, organized knowledge is essential for LLM success.
Real-World Implementation Lessons from deploying LLM-powered knowledge tools in field service.
Business Impact How AI reduces service delays, optimizes workflows, and enhances technician productivity.
Empower your field service teams with AI-driven knowledge access. Watch the webinar to see how LLMs are revolutionizing service efficiency.
FinTech is reshaping the way businesses handle payments, risk management, and financial operations. From AI-driven fraud detection to blockchain-powered security, the right FinTech solutions can streamline processes, reduce costs, and improve decision-making. This guide explores 10 essential FinTech tools that help businesses stay ahead in an increasingly digital economy.
Discover how digital payments, credit risk management, treasury solutions, AI, blockchain, and RegTech can enhance efficiency, security, and profitability.
Read now to learn how businesses are leveraging FinTech for smarter financial management!
5 Must-Use AI Tools to Supercharge Your Productivity!
AI is changing the game! From research to creativity and coding, here are 5 powerful AI tools you should try.
NotebookLM
NotebookLM Your AI Research Assistant
Organizes & summarizes notes
Generates insights from multiple sources
Ideal for students, researchers & writers
Boost your productivity with smarter note-taking!
Napkin.ai
ィ Napkin.ai The Creativity Booster
Connects and organizes ideas
Perfect for writers, designers & entrepreneurs
Acts as your AI-powered brainstorming partner
Unleash your creativity effortlessly!
DeepSeek
DeepSeek Smarter AI Search
Delivers deeper & more precise search results
Analyzes large datasets for better insights
Ideal for professionals & researchers
Find what you needfaster & smarter!
ChatGPT
ChatGPT Your AI Chat Assistant
Answers questions, writes content & assists in coding
Helps businesses with customer support
Boosts learning & productivity
From content to codingChatGPT does it all!
Devin AI
Devin AI AI for Coders
Writes, debugs & optimizes code
Assists developers at all skill levels
Makes coding faster & more efficient
Let AI be your coding partner!
AI is transforming the way we work!
2. Agenda
Levels of Integration Maturity
Architectural solutions
Technical solutions
Projects & practice
2
3. Enterprise Integration
Enterprise integration is the task of making disparate
applications work together to produce a unified set of
functionality.
3
5. Point-to-point integration
Easy & quick deal
Easy & quick implementation
Usually cheap
cmp Streight Integration easy
expose data
Sytem A System B
request data
5
6. Point-to-point integration problems
Geometric progression complexity
Different formats and protocols
Transitive dependencies
cmp Streight Integration difficult
expose data for A
Sytem A
System B
request data from B
request data
request data
from C
from x
expose data expose data
for A for B
expose data for C
System C System x
request data from x
6
7. Integration tier
Central control over data flow
Unified message format
Set of protocols (company communication standard)
Services reuse
Central data transformation, orchestration etc.
cmp Middlew are
expose data
expose data MiddleWare Producer 1
Consumer A
request data
request data
expose data expose data
Producer 2
Consumer B
request data
request data
7
8. Integration tier problems
Higher costs
System complexity increasing
Slow (implementation/management) reaction
cmp Middlew are
expose data
expose data MiddleWare Producer 1
Consumer A
request data
request data
expose data expose data
Producer 2
Consumer B
request data
request data
8
10. Service Oriented Architecture
Standardized contract
Service reuse + impact analysis
Composite services
Service metadata
somf SOA
Management & Moni tori ng
Process Orchestrati on
Securi ty Servi ces Governance
Data Abstracti on
Data Reposi tory Metadata Reposi tory
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11. SOA Governance
Service portfolio management
Service lifecycle management
Policies management
Service usage monitoring
somf SOA Gov ernance
Poli ci es Strategi es Rules
Processes Moni tori ng Audi t
Plani ng Certi fi cati ons Evaluati on
Standards Servi ces SLA
Appli cati ons Data QoS
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13. Main Integration Styles
File Transfer each application produce files of shared data
for others to consume and consume files that others have
produced.
Shared Database applications store the data they wish to
share in a common database.
Remote Procedure Invocation each application expose
some of its procedures so that they can be invoked remotedly,
and have applications invoke those to initiate behavior and
exchange data.
Messaging each application connect to a common
messaging system, and exchange data and invoke behavior
using messages.
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14. Two main architectural solutions
Messaging + Broker
BPM based engine
牟 BPEL engine
牟 BPMN engine
牟 Rule engine
牟 Workflow engine
14
18. BPMN Diagram
Business Process BPMN
Acti vi ty2
FirstLine
Acti vi ty1
StartEvent1 EndEvent1
Acti vi ty3
SecondLine
Acti vi ty4
Use Case1
(from Use Case)
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19. Canonical Data Model
A common model independent from any specific application.
Require each application to produce and consume messages
in this common format.
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