BIM programs and practices can greatly impact productivity in the construction industry. BIM allows for improved coordination between teams, which reduces errors and rework. Studies show that BIM users report fewer errors in design and less rework during construction. They also see improved communication and reduced project timelines. When implemented properly with trained staff, BIM supports gathering and sharing information across projects to help optimize results and efficiency throughout the construction process.
Building Information Modeling (BIM) provides significant benefits to design, construction, and maintenance of buildings. It saves 45% on design cycle time by allowing errors to be corrected early. Construction costs are reduced by 20% since clashes are detected in the design phase rather than on site. Site meetings are reduced by 50% through better coordination across specialties in the integrated 3D model. BIM also saves 25% on material costs by enabling accurate quantity take-offs.
This document discusses Building Information Modeling (BIM) and its implementation. It begins with definitions of BIM and explains its benefits such as better project outcomes, cost savings, and reduced risks. It then discusses challenges of BIM implementation including lack of expertise, resistance to change, and perceived costs. Key pillars for successful BIM implementation are identified as having a clear vision, leadership, and implementing incremental integrated changes. Methods for fitting BIM to different scales are provided along with common mistakes to avoid. The document concludes with discussions of project controls, optimization, and return on investment when using BIM.
- Building information modeling (BIM) is a process that involves creating and managing digital representations of physical and functional characteristics of buildings.
- BIM adds the 4th dimension of time and 5th dimension of cost to a 3D model, allowing analysis of how a facility will be planned, designed, constructed, and operated.
- BIM provides various benefits such as improved coordination, visualization, productivity, cost savings, and reduced project time. It also enables simulation and analysis of building performance.
Keynote Speech
Mr. Kevin POOLEChairman, Committee on Environment, Innovation and Technology, Construction Industry Council
HKIPM‐HKIBIM Joint Conference: BIM in Project Management
Details of Conference
Date: 2‐Apr‐2014 (Wed)
Time: 2:00 pm – 5:00 pm
Venue: Chiang Chen Studio Theatre – The Hong Kong Polytechnic University
Organizers:
Hong Kong Institute of Project Management (HKIPM)
http://www.hkipm.org.hk/
The Hong Kong Institute of Building Information Modelling (HKIBIM)
http://www.hkibim.org
Sole Sponsor:
建造業議會 - Construction Industry Council
http://www.hkcic.org/
BIM programs and practices can greatly impact productivity in the construction industry. BIM allows for improved coordination between teams, which reduces errors and rework. Studies show that BIM users report fewer errors in design and less rework during construction. They also see improved communication and reduced project timelines. When implemented properly with trained staff, BIM supports gathering and sharing information across projects to help optimize results and efficiency throughout the construction process.
Building Information Modeling (BIM) provides significant benefits to design, construction, and maintenance of buildings. It saves 45% on design cycle time by allowing errors to be corrected early. Construction costs are reduced by 20% since clashes are detected in the design phase rather than on site. Site meetings are reduced by 50% through better coordination across specialties in the integrated 3D model. BIM also saves 25% on material costs by enabling accurate quantity take-offs.
This document discusses Building Information Modeling (BIM) and its implementation. It begins with definitions of BIM and explains its benefits such as better project outcomes, cost savings, and reduced risks. It then discusses challenges of BIM implementation including lack of expertise, resistance to change, and perceived costs. Key pillars for successful BIM implementation are identified as having a clear vision, leadership, and implementing incremental integrated changes. Methods for fitting BIM to different scales are provided along with common mistakes to avoid. The document concludes with discussions of project controls, optimization, and return on investment when using BIM.
- Building information modeling (BIM) is a process that involves creating and managing digital representations of physical and functional characteristics of buildings.
- BIM adds the 4th dimension of time and 5th dimension of cost to a 3D model, allowing analysis of how a facility will be planned, designed, constructed, and operated.
- BIM provides various benefits such as improved coordination, visualization, productivity, cost savings, and reduced project time. It also enables simulation and analysis of building performance.
Keynote Speech
Mr. Kevin POOLEChairman, Committee on Environment, Innovation and Technology, Construction Industry Council
HKIPM‐HKIBIM Joint Conference: BIM in Project Management
Details of Conference
Date: 2‐Apr‐2014 (Wed)
Time: 2:00 pm – 5:00 pm
Venue: Chiang Chen Studio Theatre – The Hong Kong Polytechnic University
Organizers:
Hong Kong Institute of Project Management (HKIPM)
http://www.hkipm.org.hk/
The Hong Kong Institute of Building Information Modelling (HKIBIM)
http://www.hkibim.org
Sole Sponsor:
建造業議會 - Construction Industry Council
http://www.hkcic.org/
What does BIM mean for Civil Engineers?Chun Keung Ng
BIM is a norm for the building industry. How about for infrastructures? Some countries are over confident on the implementation of BIM in both building and civil engineering industries. Is the BIM technology for infrastructures mature and easily available? Are the professionals ready for BIM?
This Presentation would help you to explore Revit as a BIM tool and get you familiar with Revit features along with its usefulness & importance in the AEC industry. It is a brief presentation enlighting the important attributes of Revit software.
Building Information Modeling (BIM) & Industry Foundation Classes (IFC)metalalp
The document discusses Building Information Modeling (BIM) and Industry Foundation Classes (IFC). It defines BIM as a process for generating and managing building data throughout its lifecycle using 3D modeling software. IFC is described as an open standard developed to facilitate interoperability between BIM software applications. Examples are given of how IFC represents building elements and projects using it around the world. In conclusion, the document states that while BIM and IFC are emerging technologies, IFC has become a de facto standard for exchanging building data internationally.
In this presentation I gave one overall overview about BIM workflow for Construction and D&B companies.
BIM is not a tool, BIM is not a software, BIM is a way of thinking about the project and put together processes to exchange information during the entire lifecycle.
This presentation is mainly focused on Autodesk platform but is applicable to many other solutions.
1) Building Information Modeling (BIM) is a process that generates and manages building data throughout the lifecycle of a construction project using 3D modeling software.
2) BIM allows all project stakeholders to visualize, simulate, and coordinate designs in real-time, improving productivity in design and construction.
3) BIM provides greater project insight through analysis of costs, schedules, and constructability which enables prompt response to changes and more efficient processes.
This document provides information about Building Information Modeling (BIM) training offered by Jupiter Technologies. BIM is a process of digitally representing a building to contain data about the building's physical and functional characteristics. Jupiter Technologies offers both introductory and advanced BIM training courses lasting 50-100 days using software like Revit, Navisworks, and Dynamo. The training aims to equip students with in-demand BIM skills and knowledge for roles in architecture, engineering, and construction.
This document provides an overview of building information modeling (BIM) including its introduction, advantages, usage, examples, and future. BIM is a methodology for gathering and maintaining project information in a digital format to enable quick decision making throughout the project lifecycle. Key advantages of BIM include using consistent 3D models to capture coordinated planning and design data, providing greater project insight for cost and scheduling, and enabling prompt response to changes. BIM can be used for 3D modeling, energy analysis, 4D scheduling, 5D cost estimation, and facility management. The future of BIM is connecting digital models to physical systems for ongoing building operations and leveraging data efficiencies.
Guest Lecture: "BIM & Sustainability" for the MSc. BIM & Integrated Design Summer School 2016. University of Salford, Manchester, United Kingdom
Covers:
1. Sustainable Design
2. BIM for Sustainable Design Decision Making
3. BIM for Sustainable Design Compliance (BREEAM example)
4. BIM for Sustainable Design Performance (Passivhaus example)
Use of BIM in planning and construction and implementation in real projectMANNU KUMAR
This document provides an overview of Building Information Modeling (BIM) including definitions, the evolution of BIM and design processes, different levels of BIM implementation, and the progression of BIM from 3D to 7D. It discusses advantages and uses of BIM such as improved visualization, coordination, productivity and quality. The document also includes case studies on BIM implementation for infrastructure and building projects in India and China, highlighting challenges addressed and outcomes like reduced costs, clashes, and improved planning.
Building information modeling (BIM) allows project teams to visualize, simulate, and analyze a building design using a 3D parametric model before construction begins. This model represents all physical and functional aspects of the building and enables seamless sharing of information throughout the project lifecycle. BIM facilitates improved coordination, identification of issues, and changes between owners, architects, engineers, and contractors compared to traditional document-based approaches. It also supports increased prefabrication, construction planning, and post-occupancy facility management.
BIM is a digital representation of physical and functional characteristics of a built asset that contains design, construction, operation, and maintenance information. It enables richer analysis than traditional processes by integrating large amounts of multi-disciplinary data throughout the asset's lifecycle. Productivity benefits of BIM include fewer errors, reduced rework, shorter project durations, lower costs, improved communication and understanding between stakeholders, and optimizing design decisions early when changes are cheap to make. Studies show BIM can reduce construction changes by 40% and project durations by up to 37% as users gain experience with the technology.
Find out more around how Artificial Intelligence can be applied in construction management. This introductory session provides an introduction to AI in construction and looks at the practical application of AI in various areas of construction.
Building Information Modeling (BIM)
BIM is a process of generating and managing building data during its complete
lifecycle, from conceptual design through operation of the building
Building information modeling(BIM) is an integrated
workflow that enables architects, engineers, and
builders to explore a project digitally before it is built.
BIM is Evolution not Revolution
The creation and use of coordinated,
internally consistent, computable
information about a building project in
BIM is a modern technology and associated set of
processes to produce, communicate, and analyze
‘building models’…..
• ‘Digital representations’ of the building components that follow
parametric rules, which can be manipulated in an intelligent
fashion
• Carry ‘computable graphic and non‐redundant data attributes’
which are consistent, coordinated which can be viewed
The new revolutionary concept of Building Information Modeling (BIM) is a digital representation of physical and functional characteristics of a facility
A brief introduction to understand Lean's natural development through human evolution, how it was scientifically documented and developed in manufacturing and how it is transforming the construction sector
LogiKal - Project Controls Expo presentation looking at Artificial Intelligence in the construction industry. Presented by Birmingham City University's Dr Shereen Fouad and LogiKal's Principal Consultant, Hassan Emam.
The document discusses Tekla Structures software for building information modeling (BIM). It provides specialized BIM solutions for structural engineering, construction management, steel fabrication, precast fabrication, and rebar detailing. The software allows users to create constructible 3D models, collaborate in a shared model, and generate information for tasks from conceptual design through fabrication and construction.
The presentation covers following areas:
- Typical Problems in Construction Industry
- What is BIM?
-BIM Process
- Influence of BIM on Industry Problems
- BIM Application
- BIM Advantages
- BIM Workflow
- BIM & Project Management
- BIM & Design Team Members
- BIM around the Globe
- Construction Industry with BIM
All work presented in the presentation is carried out by graduates of NUST, Islambad including Abdul Mughees Khan, Syed Kashif Ali Shah, Sharjeel Ahmad Tariq, Malik Awais Ahmad and Hamza Khan Shinwari.
Special credit of the work goes to Engr Tahir Shamshad, Vice President NESPAK and Engr Zia Ud Din, Asst Professor NUST under guidance and mentor ship the whole work was performed.
For more details feel free to contact: amugheeskhan@gmail.com
AI and BIM in the AEC industry and a useful framework for organizations to evaluate where they are and where they need to be.
Deloitte research notes that the window for competitive differentiation in AI is closing quickly and organizations and regions which are not investing stand to fall behind in terms of their share of the estimated $3.9T of business value Gartner predicts will be created by 2022, meanwhile the IDC predicts that worldwide spending on cognitive and Artificial Intelligence systems will reach $77.6B by 2022[3]. This represents a 66.7% Cumulative average growth rate over 2018 values and offers a compelling justification for immediate adoption of AI capabilities across all sectors in Architecture, Engineering and Construction to support significant growth in demand, and build upon the competitive business advantages which Artificial Intelligence can offer.
Artificial Intelligence is positioned to be the most disruptive class of technology the world will experience over the short to medium term. AI isn’t a zero-sum game either; organisations, employees and the community are all positioned to benefit from the advanced capabilities that AI has to offer which typically do not replace, but rather augment current systems and processes. For engineering and construction firms, adopting AI offers substantial returns when investing in the right solutions and fostering new skills and capabilities.
Presentation by Damir Tenishev for Exigen Services webinar Agile Projects Estimations and Planning that was held online on January, 27 2011
Exigen Services webinars schedule is avialable at:
http://www.exigenservices.ru/webinars
What does BIM mean for Civil Engineers?Chun Keung Ng
BIM is a norm for the building industry. How about for infrastructures? Some countries are over confident on the implementation of BIM in both building and civil engineering industries. Is the BIM technology for infrastructures mature and easily available? Are the professionals ready for BIM?
This Presentation would help you to explore Revit as a BIM tool and get you familiar with Revit features along with its usefulness & importance in the AEC industry. It is a brief presentation enlighting the important attributes of Revit software.
Building Information Modeling (BIM) & Industry Foundation Classes (IFC)metalalp
The document discusses Building Information Modeling (BIM) and Industry Foundation Classes (IFC). It defines BIM as a process for generating and managing building data throughout its lifecycle using 3D modeling software. IFC is described as an open standard developed to facilitate interoperability between BIM software applications. Examples are given of how IFC represents building elements and projects using it around the world. In conclusion, the document states that while BIM and IFC are emerging technologies, IFC has become a de facto standard for exchanging building data internationally.
In this presentation I gave one overall overview about BIM workflow for Construction and D&B companies.
BIM is not a tool, BIM is not a software, BIM is a way of thinking about the project and put together processes to exchange information during the entire lifecycle.
This presentation is mainly focused on Autodesk platform but is applicable to many other solutions.
1) Building Information Modeling (BIM) is a process that generates and manages building data throughout the lifecycle of a construction project using 3D modeling software.
2) BIM allows all project stakeholders to visualize, simulate, and coordinate designs in real-time, improving productivity in design and construction.
3) BIM provides greater project insight through analysis of costs, schedules, and constructability which enables prompt response to changes and more efficient processes.
This document provides information about Building Information Modeling (BIM) training offered by Jupiter Technologies. BIM is a process of digitally representing a building to contain data about the building's physical and functional characteristics. Jupiter Technologies offers both introductory and advanced BIM training courses lasting 50-100 days using software like Revit, Navisworks, and Dynamo. The training aims to equip students with in-demand BIM skills and knowledge for roles in architecture, engineering, and construction.
This document provides an overview of building information modeling (BIM) including its introduction, advantages, usage, examples, and future. BIM is a methodology for gathering and maintaining project information in a digital format to enable quick decision making throughout the project lifecycle. Key advantages of BIM include using consistent 3D models to capture coordinated planning and design data, providing greater project insight for cost and scheduling, and enabling prompt response to changes. BIM can be used for 3D modeling, energy analysis, 4D scheduling, 5D cost estimation, and facility management. The future of BIM is connecting digital models to physical systems for ongoing building operations and leveraging data efficiencies.
Guest Lecture: "BIM & Sustainability" for the MSc. BIM & Integrated Design Summer School 2016. University of Salford, Manchester, United Kingdom
Covers:
1. Sustainable Design
2. BIM for Sustainable Design Decision Making
3. BIM for Sustainable Design Compliance (BREEAM example)
4. BIM for Sustainable Design Performance (Passivhaus example)
Use of BIM in planning and construction and implementation in real projectMANNU KUMAR
This document provides an overview of Building Information Modeling (BIM) including definitions, the evolution of BIM and design processes, different levels of BIM implementation, and the progression of BIM from 3D to 7D. It discusses advantages and uses of BIM such as improved visualization, coordination, productivity and quality. The document also includes case studies on BIM implementation for infrastructure and building projects in India and China, highlighting challenges addressed and outcomes like reduced costs, clashes, and improved planning.
Building information modeling (BIM) allows project teams to visualize, simulate, and analyze a building design using a 3D parametric model before construction begins. This model represents all physical and functional aspects of the building and enables seamless sharing of information throughout the project lifecycle. BIM facilitates improved coordination, identification of issues, and changes between owners, architects, engineers, and contractors compared to traditional document-based approaches. It also supports increased prefabrication, construction planning, and post-occupancy facility management.
BIM is a digital representation of physical and functional characteristics of a built asset that contains design, construction, operation, and maintenance information. It enables richer analysis than traditional processes by integrating large amounts of multi-disciplinary data throughout the asset's lifecycle. Productivity benefits of BIM include fewer errors, reduced rework, shorter project durations, lower costs, improved communication and understanding between stakeholders, and optimizing design decisions early when changes are cheap to make. Studies show BIM can reduce construction changes by 40% and project durations by up to 37% as users gain experience with the technology.
Find out more around how Artificial Intelligence can be applied in construction management. This introductory session provides an introduction to AI in construction and looks at the practical application of AI in various areas of construction.
Building Information Modeling (BIM)
BIM is a process of generating and managing building data during its complete
lifecycle, from conceptual design through operation of the building
Building information modeling(BIM) is an integrated
workflow that enables architects, engineers, and
builders to explore a project digitally before it is built.
BIM is Evolution not Revolution
The creation and use of coordinated,
internally consistent, computable
information about a building project in
BIM is a modern technology and associated set of
processes to produce, communicate, and analyze
‘building models’…..
• ‘Digital representations’ of the building components that follow
parametric rules, which can be manipulated in an intelligent
fashion
• Carry ‘computable graphic and non‐redundant data attributes’
which are consistent, coordinated which can be viewed
The new revolutionary concept of Building Information Modeling (BIM) is a digital representation of physical and functional characteristics of a facility
A brief introduction to understand Lean's natural development through human evolution, how it was scientifically documented and developed in manufacturing and how it is transforming the construction sector
LogiKal - Project Controls Expo presentation looking at Artificial Intelligence in the construction industry. Presented by Birmingham City University's Dr Shereen Fouad and LogiKal's Principal Consultant, Hassan Emam.
The document discusses Tekla Structures software for building information modeling (BIM). It provides specialized BIM solutions for structural engineering, construction management, steel fabrication, precast fabrication, and rebar detailing. The software allows users to create constructible 3D models, collaborate in a shared model, and generate information for tasks from conceptual design through fabrication and construction.
The presentation covers following areas:
- Typical Problems in Construction Industry
- What is BIM?
-BIM Process
- Influence of BIM on Industry Problems
- BIM Application
- BIM Advantages
- BIM Workflow
- BIM & Project Management
- BIM & Design Team Members
- BIM around the Globe
- Construction Industry with BIM
All work presented in the presentation is carried out by graduates of NUST, Islambad including Abdul Mughees Khan, Syed Kashif Ali Shah, Sharjeel Ahmad Tariq, Malik Awais Ahmad and Hamza Khan Shinwari.
Special credit of the work goes to Engr Tahir Shamshad, Vice President NESPAK and Engr Zia Ud Din, Asst Professor NUST under guidance and mentor ship the whole work was performed.
For more details feel free to contact: amugheeskhan@gmail.com
AI and BIM in the AEC industry and a useful framework for organizations to evaluate where they are and where they need to be.
Deloitte research notes that the window for competitive differentiation in AI is closing quickly and organizations and regions which are not investing stand to fall behind in terms of their share of the estimated $3.9T of business value Gartner predicts will be created by 2022, meanwhile the IDC predicts that worldwide spending on cognitive and Artificial Intelligence systems will reach $77.6B by 2022[3]. This represents a 66.7% Cumulative average growth rate over 2018 values and offers a compelling justification for immediate adoption of AI capabilities across all sectors in Architecture, Engineering and Construction to support significant growth in demand, and build upon the competitive business advantages which Artificial Intelligence can offer.
Artificial Intelligence is positioned to be the most disruptive class of technology the world will experience over the short to medium term. AI isn’t a zero-sum game either; organisations, employees and the community are all positioned to benefit from the advanced capabilities that AI has to offer which typically do not replace, but rather augment current systems and processes. For engineering and construction firms, adopting AI offers substantial returns when investing in the right solutions and fostering new skills and capabilities.
Presentation by Damir Tenishev for Exigen Services webinar Agile Projects Estimations and Planning that was held online on January, 27 2011
Exigen Services webinars schedule is avialable at:
http://www.exigenservices.ru/webinars
The document discusses a roundtable on Solution Architecture training and CITA-A certification. It provides an overview of the training modules which cover topics like business technology strategy, solution architecture, lifecycles, success metrics, stakeholders, and describing solutions. The training aims to help participants understand the solution architect role and gain skills across software, infrastructure, information, and business domains. It also discusses how solution architects balance conflicting priorities and connect with other architects in an organization.
5.2.2013 2013 2013 - Software, System, & IT Architecture - Good Design is G...IBM Rational
Rational Software Architect and Design Manager provide capabilities to help teams address challenges with software design complexity. They allow teams to collaborate in real-time on designs, integrate designs with the full lifecycle, and automate tasks like impact analysis and design reviews. This improves quality, reduces risks and helps teams deliver better designs with less time and effort.
Initiating and Sustaining Design Systems for the Enterpriseuxpin
1. The document discusses athenahealth's efforts to establish an enterprise design system called Forge to improve design quality, velocity, and consistency across their 200+ product teams.
2. It outlines the challenges of the current state including design debt and wasted time recreating common interfaces.
3. The goals of Forge include focusing designer time on higher-value work, establishing design standards and guidelines, and enabling greater code and design reuse across teams.
Agile Mumbai 2023 | AI-Powered Agility: A New Era of Sustainable Business Inn...AgileNetwork
Dinesh Sharma will present on integrating AI and agile project management. He will discuss how AI can enhance agile practices like sprint planning, daily standups, and retrospectives by automating tasks and providing data-driven insights. AI can also be applied in scaled agile frameworks to assist with capacity planning, risk analysis, and test automation. When applying project management to AI projects, agile methods help deal with the complexity and uncertainty of AI work. Sprints allow AI models to be developed iteratively with customer feedback. Overall, AI and agile complement each other by enabling more efficient, collaborative project management.
Are You an Accidental or Intentional Architect?iasaglobal
The first step in preparing for capability on demand is to set up for capacity on demand, but this can only occur after a CIO gets the IT house in order operationally. An IT organization that cannot manage operations effectively because it lacks understanding of costs relating to business performance and outcomes will have trouble evaluating the price-for-performance trade-offs offered by external suppliers.
The document discusses various emerging technologies such as IoT, RPA, blockchain, AR/VR, AI-ML, 3D printing, DevOps, and Agile. It provides overviews and definitions of each technology, common uses, benefits, risks, and typical roles and responsibilities. It also discusses how to build a profile in emerging technologies through projects, skills development, certifications, competitions, research, and thought leadership.
Leading organizations today all have data scientists and analytics teams. A key challenge is establishing cross-functional teams that can collaboratively derive insights from data and move exploratory interactive analytics into automated production systems. Boston Consulting Group, founded on quantitative decision making, guides global F500 companies in the technical and organizational structures that will provide a foundation for agility, innovation, and competitive advantage. This talk will outline key strategies for building effective cloud-native analytics teams.
The document discusses enterprise architecture artifacts and tools used by Princeton Digital Advisors. It provides a list of techniques and tools used in different phases of a project including business modeling, system modeling, cloud diagramming, and continuous integration/delivery. It also includes examples of deliverables such as impact maps, prototypes, deployment diagrams, and organizational change management.
MongoDB World 2018: How an Idea Becomes a MongoDB FeatureMongoDB
The document describes the software development lifecycle used by the MongoDB Database Engineering Team. It involves carefully scoping projects, designing features, implementing code, testing, and getting acceptance from product management. Key aspects include establishing consensus during scoping, addressing downstream impacts, writing comprehensive tests, and continuously improving processes over time.
Xanadu is a software consulting company specializing in enterprise architecture, requirements gathering, quality and security assessment, and software product development using Microsoft .NET technologies. They provide architecture consulting services to help clients define new software architectures or evaluate existing ones. Their services include requirements gathering, software architecture and design, technology consulting, and architecture, security and quality assessment. They aim to develop secure and reliable software that meets clients' business needs.
Your Challenge
Even though organizations are now planning for Application Integration (AI) in their projects, very few have developed a holistic approach to their integration problems resulting in each project deploying different tactical solutions.
Point-to-point and ad hoc integration solutions won’t cut it anymore: the cloud, big data, mobile, social, and new regulations require more sophisticated integration tooling.
Loosely defined AI strategies result in point solutions, overlaps in technology capabilities, and increased maintenance costs; the correlation between business drivers and technical solutions is lost.
Our Advice
Critical Insight
Involving the business in strategy development will keep them engaged and align business drivers with technical initiatives.
An architectural approach to AI strategy is critical to making appropriate technology decisions and promoting consistency across AI solutions through the use of common patterns.
Get control of your AI environment with an appropriate architecture, including policies and procedures, before end users start adding bring-your-own-integration (BYOI) capabilities to the office.
Formulate the right questions, analyse the aim of a technology development, get direct answers from trusted sources, compare it to the patent landscape. Let your engineers think better and dare.
In order to do great work you need to influence more parts of the design process than creating wireframes or front-end code. In this presentation, I walk you through the expanded sphere of influence on the user experience. I encourage you to look beyond your deliverables, outside of your department, and past your current way of working. I help you spot opportunities and draft a plan to improve your design process.
Rushcode IT Solutions provides IT and software development services including cloud transformation, data science, software testing, and consulting. As an IBM business partner, it leverages IBM cloud solutions to optimize software development costs for clients. It has expertise in domains such as BFSI, healthcare, and telecom. The document outlines Rushcode's services, technologies, solutions, case studies, future roadmap, and partnership with IBM.
The Role Of The Architect In Turbulent TimesDavid Chou
The document discusses the role of architects in turbulent times. It notes that architecture translates business needs into technical solutions. In hard economic times, the architect's role may split into areas like business analysis, project management, and domain-focused roles. Architects should focus on aligning architecture to business imperatives, optimizing existing assets, externalizing non-core functions, and consolidating redundancies. The architect must also look to the future by inventing new uses of technology, systematically scanning for trends, and co-creating the future with customers.
You can do better! Improve your design process (UX Scotland)Peter Boersma
To do great work, you need to influence more parts of the design process than the creation of wireframes or running usability tests. I will walk you through the expanded sphere of influence on the user experience. I will encourage you to look beyond your deliverables, outside of your department and past your current way of working. I will help you spot opportunities and draft a plan to improve your design process.
This session will be a mix of tutorial and exercises ranging from listing deliverables to drawing an org chart. The intended audience is UX practitioners who want to expand their influence in order to improve the way design is done in their organisation.
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
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UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
3. Our Path Forward
To move towards AI we need to
think differently from the past, in
the future software will be an
integral role in developing solutions.
We need to get better at cross
discipline integration for non-
traditional approaches.
Algorithms will begin to replace
repetitive functions, before the
more advanced decision making.
AI maturity will complement
existing skills, changing the dynamic
between Designers, Engineers and
Programmers. Multi-skilled staff will
be in high in-demand.
Engineer Drafter
Engineer DrafterDesigner
AI
80s
90s
00s
10s
Source(s): Modified from an original concept by
Craig Lamont (2016)
20s
30sEngineerProgrammerAI
Engineer Designer
Engineer Designer Drafter
ProgrammerAI Engineer
4. Parametric Design
Iterative / Codified /
Rules based / Parameterised /
Constraints based
Benefits
Can generate a large number of
options
Simplifies future design
Automation
Cost reduction
Dynamic
5. Generative Design
We’re able to deliver both
parametric and generative
design. Here we’ve applied
it to RET design.
7. How mature are you?
Level 0 Level 1 Level 2 Level 3 Level 4 Level 5
Collaborative
design
Parametric design
for single
functions.
Parametric design
for multiple
disciplines.
Automated design
for a single
discipline.
Automated
Verification for a
single discipline
Fully autonomous
design and
verification for
multiple
disciplines, but a
limited set of
knowledge
domains.
Fully autonomous
design, acting like
a human across a
wide range of
knowledge
domains.
You’re living here You might holiday
here
You could live here
tomorrow
You could live here
in 6 months
You need to be
here in 1~2 years
You need to be
here in 3~5 years
All competitors live
here
Some competitors
live here
Some competitors
live here
Some competitors
are holidaying here
Competitors are
researching a
holiday here
Competitors are
dreaming of living
here
Copyright: Alex Ferguson (2018)
8. What can you do today?
Level 0 Level 1 Level 2 Level 3 Level 4 Level 5
Collaborative
design
Parametric design
for single
functions.
Parametric design
for multiple
disciplines.
Automated design
for a single
discipline.
Automated
Verification for a
single discipline
Fully autonomous
design and
verification for
multiple
disciplines, but a
limited set of
knowledge
domains.
Fully autonomous
design, acting like
a human across a
wide range of
knowledge
domains.
Encourage teams
to look beyond
traditional delivery
approaches
towards Level 1.
Generate
awareness of the
developing toolset
Invest in
parametric design
capabilities.
Strategically hire
individuals with
this expertise.
Leverage existing
expertise to solve
repetitive tasks.
Implement design
management
processes that
require the
extensive use of
parametric design
to deliver
outcomes.
Invest in fast-
tracking research
and development
of automated
design solutions
alongside industry
expertise.
Implement design
management
processes that
require use of
automated design
to deliver
outcomes.
Invest in research
and development
into the use of AI
for design
development
Copyright: Alex Ferguson (2018)
9. What could you do today?
Level 0 Level 1 Level 2 Level 3 Level 4 Level 5
Collaborative
design
Parametric design
for single
functions.
Parametric design
for multiple
disciplines.
Automated design
for a single
discipline.
Automated
Verification for a
single discipline
Fully autonomous
design and
verification for
multiple
disciplines, but a
limited set of
knowledge
domains.
Fully autonomous
design, acting like
a human across a
wide range of
knowledge
domains.
Encourage teams
to look beyond
traditional delivery
approaches
towards Level 1.
Generate
awareness of the
developing toolset
Invest in
parametric design
capabilities.
Strategically hire
individuals with
this expertise.
Leverage existing
expertise to solve
repetitive tasks.
Implement design
management
processes that
require the
extensive use of
parametric design
to deliver
outcomes.
Invest in fast-
tracking research
and development
of automated
design solutions
alongside industry
expertise.
Implement design
management
processes that
require use of
automated design
to deliver
outcomes.
Invest in research
and development
into the use of AI
for design
development
Copyright: Alex Ferguson (2018)
10. Get Started
Problem Definition
•Understanding the
design intent and
desired outcomes
•Review existing
processes for
production and
opportunities for
parameterisation
•Identification of the
problem to be
solved through
parameterisation
•Estimate the cost,
time and resources
to create a solution
in traditional ways
(benchmark)
Define Parameters
•Definition of the
problem in terms of
the key inputs and
variables that are to
be manipulated
•Confirmation of the
intended inputs and
outputs of the
solution
•Confirmation of the
extent of control or
level of automation
to be applied to the
solution
•Confirmation of any
constraints
Define Architecture
•Identify suitable
software platforms
and capabilities
•Develop a concept
of the parametric
solution
•Agree a high-level
definition of the
standards, rules and
frameworks to be
applied
•Plan for and agree
the cost, time,
resources to be
used.
•Confirm parametric
modelling equates
to positive value (i.e.
compared to
benchmarks)
Develop Parametric
Solutions
•Commence
development of the
parametric model
•Review of the model
at each stage for
each discipline to
validate approach
•Independent
verification of the
model outputs for
given inputs
•Document the
solution in code as
required
•Document
information
required to operate
the model
Solve the Problem
•Use the model to
generate outputs
with client input
•Review model
outputs with the
client
•Confirm design
objectives are being
met
•Generate final
design deliverables
•Record details of
the problem
solution
Finalisation
•Archive the project
•Extract and
document IP created
which may be
reused in future
projects
•Publish reusable
modules and code
to knowledge
management
system
•Document lessons
learned and publish
to knowledge
management
system
You can see the strength and speed of development of AI in software like AlphaGo, which, in the span of 6-9 months, went from being unable to beat a reasonably good Go player to beating the previous world champion 4-5, the current world champion, then beating everyone while playing simultaneously! Then there was AlphaZero, which shortly after, crushed AlphaGo 100 to Zero and AlphaGo just learnt by playing itself, and it can play basically any game in which you input the rules.
It is literally, read the rules, play the game and be superhuman
It is wishful thinking to believe an AI is not going to replace us. It is capable of vastly more than almost anyone knows.
Source(s): Elon Musk (2018)
AlphaGo – better than a human in less time to train, better than an algorithm which brute forces to check every solution, 2000 years of history of “this is how the game is best played” to determine strategy and AlphaGo plays moves that humans believed to result in certain defeat, only to win. It has mastered the art.
OpenAI – 5 vs 5 competitive gameplay decision making, long term and short term memory, how might this improve our ability to manage risk, identifying strategies for delivering projects in adversarial environments.
BIM 360 IQ – about implementing AI / machine learning algorithms on top of data collected during construction.
Dynamo / Grasshopper – enabling iterative design – effectively creating search heuristics to find optimal designs that meet desired criteria
AI & Architecture – Sketch a building and have it designed for you, input a space constraint and have an AI generate a suitable layout based on your space usage requirements
Generative Design – Automatically lay out multi-discipline MEP services in a service corridor
Question.. How many lines of code do you think it takes to do the last task?