Data science and visualization lab presentationiHub Research
The Data Science and Visualization Lab! This product is based on a component of research that delves into and innovates on the processes of data science – collection, storage/management, analysis and visualization. You have probably come across one of our amazing info-graphics. What else can you do with data?
Data Science is a form of science that focuses on dealing with huge chunks of data by using modern data analysis tools and techniques to discover hidden patterns, meaningful insights, and make critical business decisions.
A Data Science professional has to utilize complicated machine learning algorithms to develop predictive models. There could be multiple sources present in different formats used in data analysis.
International Journal of Database and Analytics (IJDA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Database and Analytics. The journal focuses on all technical and practical aspects of Database and Analytics. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Database and Analytics and establishing new collaborations in these areas.
International Journal of Data Mining Systems & Applications (IJDSA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Data Mining Systems & Applications. The journal focuses on all technical and practical aspects of Database Management Systems. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Data Mining Systems & Applications and establishing new collaborations in these areas.
International Journal of Database and Analytics (IJDA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Database and Analytics. The journal focuses on all technical and practical aspects of Database and Analytics. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Database and Analytics and establishing new collaborations in these areas.
International Journal of Database and Analytics (IJDA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Database and Analytics. The journal focuses on all technical and practical aspects of Database and Analytics. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Database and Analytics and establishing new collaborations in these areas.
Data science and visualization lab presentationiHub Research
The Data Science and Visualization Lab! This product is based on a component of research that delves into and innovates on the processes of data science – collection, storage/management, analysis and visualization. You have probably come across one of our amazing info-graphics. What else can you do with data?
Data Science is a form of science that focuses on dealing with huge chunks of data by using modern data analysis tools and techniques to discover hidden patterns, meaningful insights, and make critical business decisions.
A Data Science professional has to utilize complicated machine learning algorithms to develop predictive models. There could be multiple sources present in different formats used in data analysis.
International Journal of Database and Analytics (IJDA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Database and Analytics. The journal focuses on all technical and practical aspects of Database and Analytics. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Database and Analytics and establishing new collaborations in these areas.
International Journal of Data Mining Systems & Applications (IJDSA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Data Mining Systems & Applications. The journal focuses on all technical and practical aspects of Database Management Systems. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Data Mining Systems & Applications and establishing new collaborations in these areas.
International Journal of Database and Analytics (IJDA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Database and Analytics. The journal focuses on all technical and practical aspects of Database and Analytics. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Database and Analytics and establishing new collaborations in these areas.
International Journal of Database and Analytics (IJDA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Database and Analytics. The journal focuses on all technical and practical aspects of Database and Analytics. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Database and Analytics and establishing new collaborations in these areas.
Being able to make data driven decisions is a crucial skill for any company. The requirements are growing tougher - the volume of collected data keeps increasing in orders of magnitude and the insights must be smarter and faster. Come learn more about why data science is important and what challenges the data teams need to face.
International Journal of Data Mining Systems & Applications (IJDSA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Data Mining Systems & Applications. The journal focuses on all technical and practical aspects of Database Management Systems. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Data Mining Systems & Applications and establishing new collaborations in these areas.
International Journal of Data Science and Analytics(IJDA) MiajackB
International Journal of Data Science and Analytics(IJDA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Data Science and Analytics. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this field, and establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Data Science and Analytics.
International Journal of Data Mining Systems & Applications (IJDSA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Data Mining Systems & Applications. The journal focuses on all technical and practical aspects of Database Management Systems. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Data Mining Systems & Applications and establishing new collaborations in these areas.
International Journal of Data Mining Systems & Applications (IJDSA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Data Mining Systems & Applications. The journal focuses on all technical and practical aspects of Database Management Systems. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Data Mining Systems & Applications and establishing new collaborations in these areas
International Journal of Database and Analytics (IJDA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Database and Analytics. The journal focuses on all technical and practical aspects of Database and Analytics. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Database and Analytics and establishing new collaborations in these areas.
The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this field, and establishing new collaborations in these areas.
International Journal of Data Mining Systems & Applications (IJDSA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Data Mining Systems & Applications. The journal focuses on all technical and practical aspects of Database Management Systems. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Data Mining Systems & Applications and establishing new collaborations in these areas.
International Journal of Data Mining Systems & Applications (IJDSA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Data Mining Systems & Applications. The journal focuses on all technical and practical aspects of Database Management Systems. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Data Mining Systems & Applications and establishing new collaborations in these areas.
International Journal of Data Mining Systems & Applications (IJDSA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Data Mining Systems & Applications. The journal focuses on all technical and practical aspects of Database Management Systems. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Data Mining Systems & Applications and establishing new collaborations in these areas.
International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this field, and establishing new collaborations in these areas.
Built to grow: scalability factors to consider before commencing your next di...Marcus Emmanuel Barnes
Discussion piece on scalability factors to consider before commencing your next digital library software project presented at the Third Annual Code4Lib on November 27, 2015 at the UBC Irving K. Barber Learning Centre.
International Journal of Database and Analytics (IJDA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Database and Analytics. The journal focuses on all technical and practical aspects of Database and Analytics. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Database and Analytics and establishing new collaborations in these areas.
Data Science is in high demand, the melting pot
of complex skills requires a qualified data scientist have made them the unicorns in today's data-driven landscape.
International Journal of Database and Analytics(IJDA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Database and Analytics .
International Journal of Database and Analytics(IJDA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Database and Analytics . The journal focuses on all technical and practical aspects of Database and Analytics. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Database and Analytics and establishing new collaborations in these areas.
The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this field, and establishing new collaborations in these areas.
Information Driven Enterprise Architecture - Connected Brains 2018LoQutus
In this session we will show you how to deliver business
improvements with enterprise and information architecture. During this session you will get new insights to increase value to the organisation. We also explain our LEAF framework, an integrated EA framework leveraging information to build architectures more quickly.
Being able to make data driven decisions is a crucial skill for any company. The requirements are growing tougher - the volume of collected data keeps increasing in orders of magnitude and the insights must be smarter and faster. Come learn more about why data science is important and what challenges the data teams need to face.
International Journal of Data Mining Systems & Applications (IJDSA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Data Mining Systems & Applications. The journal focuses on all technical and practical aspects of Database Management Systems. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Data Mining Systems & Applications and establishing new collaborations in these areas.
International Journal of Data Science and Analytics(IJDA) MiajackB
International Journal of Data Science and Analytics(IJDA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Data Science and Analytics. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this field, and establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Data Science and Analytics.
International Journal of Data Mining Systems & Applications (IJDSA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Data Mining Systems & Applications. The journal focuses on all technical and practical aspects of Database Management Systems. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Data Mining Systems & Applications and establishing new collaborations in these areas.
International Journal of Data Mining Systems & Applications (IJDSA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Data Mining Systems & Applications. The journal focuses on all technical and practical aspects of Database Management Systems. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Data Mining Systems & Applications and establishing new collaborations in these areas
International Journal of Database and Analytics (IJDA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Database and Analytics. The journal focuses on all technical and practical aspects of Database and Analytics. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Database and Analytics and establishing new collaborations in these areas.
The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this field, and establishing new collaborations in these areas.
International Journal of Data Mining Systems & Applications (IJDSA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Data Mining Systems & Applications. The journal focuses on all technical and practical aspects of Database Management Systems. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Data Mining Systems & Applications and establishing new collaborations in these areas.
International Journal of Data Mining Systems & Applications (IJDSA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Data Mining Systems & Applications. The journal focuses on all technical and practical aspects of Database Management Systems. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Data Mining Systems & Applications and establishing new collaborations in these areas.
International Journal of Data Mining Systems & Applications (IJDSA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Data Mining Systems & Applications. The journal focuses on all technical and practical aspects of Database Management Systems. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Data Mining Systems & Applications and establishing new collaborations in these areas.
International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this field, and establishing new collaborations in these areas.
Built to grow: scalability factors to consider before commencing your next di...Marcus Emmanuel Barnes
Discussion piece on scalability factors to consider before commencing your next digital library software project presented at the Third Annual Code4Lib on November 27, 2015 at the UBC Irving K. Barber Learning Centre.
International Journal of Database and Analytics (IJDA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Database and Analytics. The journal focuses on all technical and practical aspects of Database and Analytics. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Database and Analytics and establishing new collaborations in these areas.
Data Science is in high demand, the melting pot
of complex skills requires a qualified data scientist have made them the unicorns in today's data-driven landscape.
International Journal of Database and Analytics(IJDA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Database and Analytics .
International Journal of Database and Analytics(IJDA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Database and Analytics . The journal focuses on all technical and practical aspects of Database and Analytics. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Database and Analytics and establishing new collaborations in these areas.
The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this field, and establishing new collaborations in these areas.
Information Driven Enterprise Architecture - Connected Brains 2018LoQutus
In this session we will show you how to deliver business
improvements with enterprise and information architecture. During this session you will get new insights to increase value to the organisation. We also explain our LEAF framework, an integrated EA framework leveraging information to build architectures more quickly.
As per Gartner, global revenue in the business intelligence (BI) and analytics software market is forecast to reach $18.3 billion in 2017, an increase of 7.3 percent from 2016, according to the latest forecast from Gartner, Inc. By the end of 2020, the market is forecast to grow to $22.8 billion.
The software development process is complete for computer project analysis, and it is important to the evaluation of the random project. These practice guidelines are for those who manage big-data and big-data analytics projects or are responsible for the use of data analytics solutions. They are also intended for business leaders and program leaders that are responsible for developing agency capability in the area of big data and big data analytics .
For those agencies currently not using big data or big data analytics, this document may assist strategic planners, business teams and data analysts to consider the value of big data to the current and future programs.
This document is also of relevance to those in industry, research and academia who can work as partners with government on big data analytics projects.
Technical APS personnel who manage big data and/or do big data analytics are invited to join the Data Analytics Centre of Excellence Community of Practice to share information of technical aspects of big data and big data analytics, including achieving best practice with modeling and related requirements. To join the community, send an email to the Data Analytics Centre of Excellence
Mobile, Wearables, Big Data and A Strategy to Move Forward (with NTT Data Ent...Barcoding, Inc.
Join NTT Data Enterprise Services, Inc.for a discussion on the Internet of Things (IoT), wearables, augmented reality, predictive analytics, and a strategy for using Big Data effectively in your enterprise. Presented at the Barcoding, Inc. Executive Forum 2014
Big data is a term that describes the huge amount of data (structured and unstructured) that floods the enterprise every day.
Big Data includes the quantity of data , the speed or speed at which it's created and picked up , and therefore the variety or scope of the info points being covered. It very often comes from several sources and arrives in multiple formats.
From the perspective of a project manager or project manager, big data does not necessarily revolve around the amount of data that individuals and companies deal with. Data can be obtained from any source and analyzed to find the answer for the following purposes:
Reduce the time cut costs
Wise decision
Optimized product
New products development
Your present project management and soft skills are likely ultimate for establishing the framework for a replacement or existing Big Data project team and their projects. you only got to enhance the talents and knowledge you have already got .
This is where Tonex training can help.
Tonex Offers Big Data for Project and Program Managers Training
participants will find out how to profit from big data in their projects and programs
Why does one Need This Training?
Need project managers with big data expertise and business awareness
Must have expert judgment ability to use technology
The plan manager should assist in expanding and coordinating tasks throughout the project
Audience
Project managers
Program managers
Big data analytics
Decision makers of organizations
Strategic leaders
Executives
Training Objectives
Describe the big data analytics
Explain the business values of massive data
Talk about the opportunities and challenges of using big data
Choose if big data analytics serve their client’s interest, situation and knowledge
Manage data analytic projects
Assess risks related to the large data
Distinguish between a knowledge analytic project and a fishing expedition
Decide the best approach
Conclude the time to stop the analysis
Talk about how project management can be used to sustain your data analytics capability
Elaborate how big data can be used to secure the progress of the project
Identify what analytics should be implemented
Course Outline:
Overview to Big Data and Project/Program Management
Project Management Process
Where Does Big Data Analytics expertise is Required?
Introduction to Big Data Management
Big Data Challenges
The Status of Big Data Management
Data Science Methods
Technical Practices for Big Data Management
Analytic Exercises and Big Data Management
Applicable Programming Languages
Corporation Practices for Big Data Management
Top Priorities of Big Data Management
Choosing the Best Strategy
Organizational Leadership
Tonex Hands-On Sample Workshop
Learn More:
https://www.tonex.com/training-courses/big-data-project-program-managers-training/
Webinar: Leveraging New Technologies with Migrationpanagenda
Webinar Recording: http://ow.ly/vvRG30gxDnS
Whether you’re dealing with cloud, browser clients, Microsoft Outlook, Office 365 Cloud, Sharepoint or something else – panagenda offers software solutions and the necessary expertise for all phases of your migration project. Learn how to identify the business value of your existing infrastructure, what is worth your time and money to migrate, how to identify dependencies and other important migration steps to ensure a smooth – and on-budget – transformation. Join us and hear on how to automate client-side changes, ranging from analyzing local archives, removing migrated applications, to removing IBM Notes, email decryption and Outlook or Office 365 Cloud setup.
Find out how to maintain control over servers during and after your project, how to test server transformation without compromising SLA’s. Learn how to analyze your security infrastructure so you can adapt your IBM Notes and Domino landscape in manageable steps while leveraging new technologies.
Data architecture is foundational to an information-based operational environment. It is your data architecture that organizes your data assets so they can be leveraged in your business strategy to create real business value. Even though this is important, not all data architectures are used effectively. This webinar describes the use of data architecture as a basic analysis method. Various uses of data architecture to inform, clarify, understand, and resolve aspects of a variety of business problems will be demonstrated. As opposed to showing how to architect data, your presenter Dr. Peter Aiken will show how to use data architecting to solve business problems. The goal is for you to be able to envision a number of uses for data architectures that will raise the perceived utility of this analysis method in the eyes of the business.
Find more Data-Ed webinars here: www.datablueprint.com
Data-Ed Online: Data Architecture RequirementsDATAVERSITY
Data architecture is foundational to an information-based operational environment. It is your data architecture that organizes your data assets so they can be leveraged in your business strategy to create real business value. Even though this is important, not all data architectures are used effectively. This webinar describes the use of data architecture as a basic analysis method. Various uses of data architecture to inform, clarify, understand, and resolve aspects of a variety of business problems will be demonstrated. As opposed to showing how to architect data, your presenter Dr. Peter Aiken will show how to use data architecting to solve business problems. The goal is for you to be able to envision a number of uses for data architectures that will raise the perceived utility of this analysis method in the eyes of the business.
Takeaways:
Understanding how to contribute to organizational challenges beyond traditional data architecting
How to utilize data architectures in support of business strategy
Understanding foundational data architecture concepts based on the DAMA DMBOK
Data architecture guiding principles & best practices
SC6 Workshop 1: Big Data Europe platform requirements and draft architecture:...BigData_Europe
Presentation by Martin Kaltenböck, Semantic Web Company, at the first workshop of Societal Challlenge 6 in the BigDataEurope project, taking place in Luxembourg on 18 November 2015.
http://www.big-data-europe.eu/social-sciences/
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Creating a Users Guide for NIST Big Data Documents
1. Suggestion for Creating a NIST Big Data PWG Users Guide
by Bob Marcus
One method for creating a Users Guide is to list the Users of the NIST Documents and
their Big Data questions. The answers to these questions could include pointers to
relevant sections and key takeaways in the documents. A list of users and their
questions are below. The list is meant to be a rough draft to stimulate discussion.
Senior Executives
- What applications are appropriate for Big Data technology?
- What are the benefits?
- What are the risks?
System Architects
- What are the alternatives for Big Data architectures?
- How can the NIST Reference Architecture be used architectural planning?
- How should Big Data architectural alternatives be evaluated?
Project Managers
- Which Big Data technologies should be used on my project?
- Are there standards and/or best practices for Big Data development and deployment?
- What skill sets are needed on my project staff based on technology choices?
Data Scientists
- Where can I find information about the latest analytics and machine learning
technologies and tools?
- What are the future directions for Big Data applications, data stores, and standards?
- What will be the future role for Data Scientists?
Database Managers
- What are the alternatives for Big Data data stores?
- What are the benefits and risks of each alternative?
- What are possible future standards for portability and interoperability?
Security and Privacy Analysts
- How well do Big Data data stores implement security and privacy?
- Are there emerging best practices and/or standards?
- Should there be some type of compliance evaluation for future Big Data data stores
and applications?
Developers
- Where can I find information about the latest Big Data software development
technologies and tools?
- How are Big Data technologies prototyped and tested?
- What are the changes to the software development process for Big Data applications?
2. Vertical Application End-Users
- Are there examples of Big Data application in my vertical application area?
- Where can I find more information about potential future applications in my
vertical application area?
- Is additional end-user training required for the use of Big Data applications in my
vertical application area?
IT Staff
- How can make IT use of the NIST Reference Architecture to understand roles and
responsibilities in developing, deploying and running applications?
- What changes will be needed to network, data store, software, and hardware platforms
for Big Data applications?
- What tools and best practices are available for monitoring, managing, and maintaining
Big Data applications?
Standards Groups
- Are there emerging standards for Big Data applications?
- How can the NIST documents be used to help create future standards?
- What are the highest priorities for developing future standards?
Chief Data Officers
- How do new Big Data technology and applications fit into existing technology and
application architectures?
- What changes are needed in organizational structure for development, deployment
and operation of Big Data applications?
- What are the management, security, privacy, compliance, governance, and standards
best practices for Big Data?