The importance of the communication culture for the success of a business focused Digital Workplace
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The document discusses the concept of a digital workplace, emphasizing that it extends beyond technology to cultural and organizational aspects. It outlines challenges like communication barriers, information control, and the need for a holistic approach. The key takeaways suggest focusing on cultural change and business value rather than just technology implementation.
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Discover how airports like Swedavia are harnessing the power of FME to simplify aviation data management, and how you can too.AI Agents and FME: A How-to Guide on Generating Synthetic Metadata
AI Agents and FME: A How-to Guide on Generating Synthetic MetadataSafe Software
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In the world of AI agents, semantics is king. Good metadata is thus essential in an organization's AI readiness checklist. But how do we keep up with the massive influx of new data? In this talk we go over the tips and tricks in generating synthetic metadata for the consumption of human users and AI agents alike.Curietech AI in action - Accelerate MuleSoft development
Curietech AI in action - Accelerate MuleSoft developmentshyamraj55
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CurieTech AI in Action Accelerate MuleSoft Development
Overview:
This presentation demonstrates how CurieTech AIs purpose-built agents empower MuleSoft developers to create integration workflows faster, more accurately, and with less manual effort
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Key Highlights:
Dedicated AI agents for every stage: Coding, Testing (MUnit), Documentation, Code Review, and Migration
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DataWeave automation: Generate mappings from tables or samples95%+ complete within minutes
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Integration flow generation: Auto-create Mule flows based on specificationsspeeds up boilerplate development
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Efficient code reviews: Gain intelligent feedback on flows, patterns, and error handling
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Test & documentation automation: Auto-generate MUnit test cases, sample data, and detailed docs from code
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Why Now?
Achieve 10 productivity gains, slashing development time from hours to minutes
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Maintain high accuracy with code quality matching or exceeding manual efforts
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Ideal for developers, architects, and teams wanting to scale MuleSoft projects with AI efficiency
Conclusion:
CurieTech AI transforms MuleSoft development into an AI-accelerated workflowletting you focus on innovation, not repetition.EIS-Webinar-Engineering-Retail-Infrastructure-06-16-2025.pdf
EIS-Webinar-Engineering-Retail-Infrastructure-06-16-2025.pdfEarley Information Science
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As AI reshapes expectations in retail and B2B commerce, organizations are recognizing a critical reality: meaningful AI outcomes depend on well-structured, adaptable infrastructure. In this session, Seth Earley is joined by Phil Ryan - AI strategist, search technologist, and founder of Glass Leopard Technologies - for a candid conversation on what it truly means to engineer systems for scale, agility, and intelligence.
Phil draws on more than two decades of experience leading search and AI initiatives for enterprise organizations. Together, he and Seth explore the challenges businesses face when legacy architectures limit personalization, agility, and real-time decisioning - and what needs to change to support agentic technologies and next-best-action capabilities.
Key themes from the webinar include:
Composability as a prerequisite for AI油- Why modular, loosely coupled systems are essential for adapting to rapid innovation and evolving business needs
Search and relevance as foundational to AI油- How techniques honed-in enterprise search have laid the groundwork for more responsive and intelligent customer experiences
From MDM and CDP to agentic systems油- How data platforms are evolving to support richer customer context and dynamic orchestration
Engineering for business alignment油- Why successful AI programs require architectural decisions grounded in measurable outcomes
The conversation is practical and forward-looking, connecting deep technical understanding with real-world business needs. Whether youre modernizing your commerce stack or exploring how AI can enhance product discovery, personalization, or customer journeys, this session provides a clear-eyed view of the capabilities, constraints, and priorities that matter most.10 Key Challenges for AI within the EU Data Protection Framework.pdf
10 Key Challenges for AI within the EU Data Protection Framework.pdfPriyanka Aash
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10 Key Challenges for AI within the EU Data Protection Framework" How to survive with 1 billion vectors and not sell a kidney: our low-cost c...
" How to survive with 1 billion vectors and not sell a kidney: our low-cost c...Fwdays
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Let's talk about our history. How we started the project with a small vector database of less than 2 million records. Later, we received a request for +100 million records, then another +100... And so gradually we reached almost 1 billion. Standard tools were quickly running out of steam - we were running into performance, index size, and very limited resources. After a long series of trials and errors, we built our own low-cost cluster, which today stably processes thousands of queries to more than 1B vectors.Raman Bhaumik - Passionate Tech Enthusiast
Raman Bhaumik - Passionate Tech EnthusiastRaman Bhaumik
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A Junior Software Developer with a flair for innovation, Raman Bhaumik excels in delivering scalable web solutions. With three years of experience and a solid foundation in Java, Python, JavaScript, and SQL, she has streamlined task tracking by 20% and improved application stability.Mastering AI Workflows with FME by Mark Doring
Mastering AI Workflows with FME by Mark DoringSafe Software
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Harness the full potential of AI with FME: From creating high-quality training data to optimizing models and utilizing results, FME supports every step of your AI workflow. Seamlessly integrate a wide range of models, including those for data enhancement, forecasting, image and object recognition, and large language models. Customize AI models to meet your exact needs with FMEs powerful tools for training, optimization, and seamless integrationThe Future of Technology: 2025-2125 by Saikat Basu.pdf
The Future of Technology: 2025-2125 by Saikat Basu.pdfSaikat Basu
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A peek into the next 100 years of technology. From Generative AI to Global AI networks to Martian Colonisation to Interstellar exploration to Industrial Nanotechnology to Artificial Consciousness, this is a journey you don't want to miss. Which ones excite you the most? Which ones are you apprehensive about? Feel free to comment! Let the conversation begin!Oh, the Possibilities - Balancing Innovation and Risk with Generative AI.pdf
Oh, the Possibilities - Balancing Innovation and Risk with Generative AI.pdfPriyanka Aash
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Oh, the Possibilities - Balancing Innovation and Risk with Generative AI2025_06_18 - OpenMetadata Community Meeting.pdf
2025_06_18 - OpenMetadata Community Meeting.pdfOpenMetadata
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The community meetup was held Wednesday June 18, 2025 @ 9:00 AM PST.
Catch the next OpenMetadata Community Meetup @ https://www.meetup.com/openmetadata-meetup-group/
In this month's OpenMetadata Community Meetup, "Enforcing Quality & SLAs with OpenMetadata Data Contracts," we covered data contracts, why they matter, and how to implement them in OpenMetadata to increase the quality of your data assets!
Agenda Highlights:
Introducing Data Contracts: An agreement between data producers and consumers
Data Contracts key components: Understanding a contract and its purpose
ｨ Writing your first contract: How to create your own contracts in OpenMetadata
An OpenMetadata MCP Server update!
And More!cnc-processing-centers-centateq-p-110-en.pdf
cnc-processing-centers-centateq-p-110-en.pdfAmirStern2
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廨 廣 廬廣廩廬 廣 3/4/5 廢廨, 廣 22 廚廬 廣 廚廩廨廬 廣 廨廩廬.油廣 廩 廣 廩 廡 廚廣 廩廚 廣廨廬/廨廖廬/廬/廖廚廨廬/廣廨廬 廣..
廖 廢廣 廚廣廬 廣 廩廬 廬廬 廣廚 廩: 廡 , 廚廡, 廖廨, 廨廖 .Connecting Data and Intelligence: The Role of FME in Machine Learning
Connecting Data and Intelligence: The Role of FME in Machine LearningSafe Software
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In this presentation, we want to explore powerful data integration and preparation for Machine Learning. FME is known for its ability to manipulate and transform geospatial data, connecting diverse data sources into efficient and automated workflows. By integrating FME with Machine Learning techniques, it is possible to transform raw data into valuable insights faster and more accurately, enabling intelligent analysis and data-driven decision making.Quantum AI: Where Impossible Becomes Probable
Quantum AI: Where Impossible Becomes ProbableSaikat Basu
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Imagine combining the "brains" of Artificial Intelligence (AI) with the "super muscles" of Quantum Computing. That's Quantum AI!
It's a new field that uses the mind-bending rules of quantum physics to make AI even more powerful.Ad
The importance of the communication culture for the success of a business focused Digital Workplace
- 1. INTRANTVERK 2014 DIGITAL WORKPLACE : READY TO GO ? A BAYER CS STORY ABOUT COMMUNICATION CULTURE Cristina FILIPE ARAUJO @filipecristinaMAY 22, 2014
- 2. DW more than a technology 2 The Digital Workplace is much more than technology, it lives at the intersection of PEOPLE, organization and tools. www.digital-workplace-trends.com
- 3. Communication tools 3 EMPLOYEE NEEDS 2 3 1 EDUCATE (KM) Wiki E-Learning COLLABORATE Sharepoint sites @Connections & Lync CRM INFORM Intranet Newsletter
- 4. How do we want to work ? 4 this is a COM or an IT thing I cant share it here, I dont have the right to The information is duplicated !
- 5. The Digital Workplace dream 5 STRATEGIC FOR BUSINESS 2 3 1 EDUCATE (KM) Wiki E-Learning COLLABORATE Sharepoint sites @Connections & Lync CRM INFORM Intranet Newsletter
- 6. The communication culture Managed Intranet approach 2.0 approach Data pushed to end-user Data pulled by end-user 6 INFORMATION CREATION
- 7. Barriers to the DW 7 Despite a positive attitude towards technology: ! Communication behaviour (one-way) ! Information control culture ! No clear leadership ! Not seen as a strategic element to support business
- 8. The actors of the change DW & Business Managers COM HR IT 8
- 9. The DW challenges ! People issues not technology ! The DW breaks silos and forces us to think holistically 9
- 10. Key take aways ! Digital Workplace is mainly a cultural change not only a technology or information architecture change ! Build your own model of Digital Workplace ! Focus on business value rather than technology implementation 10
- 11. THANK YOU FOR YOUR ATTENTION ! Cristina FILIPE ARAUJO @filipecristinaMAY 22, 2014