GEODI is an Innovative Solution which reads and Interprets any kind of content from many different sources by using Natural Language Processing and Machine Learning.
MLCommons aims to accelerate machine learning to benefit everyone.
MLCommons will build a a common set of tools for ML practitioners including:
Benchmarks to measure progress: MLCommons will leverage MLPerf (built on DAWNbench) to measure speed, but also expand benchmarking other aspects of ML such as accuracy and algorithmic efficiency. ML models continue to increase in size and consequently cost. Sustaining growth in capability will require learning how to do more (accuracy) with less (efficiency).
Public datasets to fuel research: MLCommons new People’s Speech project seeks to develop a public dataset that, in addition to being larger than any other public speech dataset by more than an order of magnitude (86K hours labeled speech), better reflects diverse languages and accents. Public datasets drive machine learning like nothing else; consider ImageNet’s impact on the field of computer vision.
Best practices to accelerate development: MLCommons will make it easier to develop and deploy machine learning solutions by fostering consistent best practices. For instance, MLCommons’ MLCube project provides a common container interface for machine learning models to make them easier to share, experiment with (including benchmark), develop, and ultimately deploy.
A conference report of SemTechBiz 2013 in San Francisco, from a datamining and knowledge-management point of view. It covers several companies with their automatic algorithms to extract data from cleverly discovered crowed-curated data sources, or using UI tools to leverage existing utility to lure user help mark up the data...
Many companies face the challenge of building up a data science team from scratch and it can be hard to figure out how to start. In 2016, I was the first hire of a new data science team, with little infrastructure or strategy in place. Over the years, there were many different challenges for us to solve and mistakes to learn from as the team got more and more mature. This talk is about what I learned about the process of building up a data science team, from both my own experience in the past years and conversations with other data scientists in a similar situation.
This document discusses advanced use of metadata in WordPress beyond simple text fields. It defines metadata as additional information about a post like phone number or product price. When used with taxonomies and custom post types, complex data relations can be created. It lists popular plugins for managing metadata, including Advanced Custom Fields, CMB2, and Fieldmanager. Code examples are provided in a Github repository link.
O documento resume os benefícios e serviços oferecidos por um cruzeiro fluvial de luxo pela Uniworld. O cruzeiro oferece cabines luxuosas, refeições de qualidade, programações culturais, passeios exclusivos e atividades como ioga e personal trainer. A Uniworld possui uma frota de 17 navios que navegam por diversas partes do mundo com altos níveis de satisfação entre os clientes.
El aprendizaje virtual es una forma de adquirir conocimiento mediante el uso de tecnologías de la información educativas, las cuales actúan como intermediarias entre la interacción alumno-docente y alumno-alumno. El aprendizaje virtual permite al alumno ser responsable de su propio aprendizaje y adaptarlo a su horario y ubicación geográfica, mediado por la computadora y disponible en cualquier momento. Requiere que el docente propicie la interacción entre participantes y el material digital, y que cuide la cal
MLCommons aims to accelerate machine learning to benefit everyone.
MLCommons will build a a common set of tools for ML practitioners including:
Benchmarks to measure progress: MLCommons will leverage MLPerf (built on DAWNbench) to measure speed, but also expand benchmarking other aspects of ML such as accuracy and algorithmic efficiency. ML models continue to increase in size and consequently cost. Sustaining growth in capability will require learning how to do more (accuracy) with less (efficiency).
Public datasets to fuel research: MLCommons new People’s Speech project seeks to develop a public dataset that, in addition to being larger than any other public speech dataset by more than an order of magnitude (86K hours labeled speech), better reflects diverse languages and accents. Public datasets drive machine learning like nothing else; consider ImageNet’s impact on the field of computer vision.
Best practices to accelerate development: MLCommons will make it easier to develop and deploy machine learning solutions by fostering consistent best practices. For instance, MLCommons’ MLCube project provides a common container interface for machine learning models to make them easier to share, experiment with (including benchmark), develop, and ultimately deploy.
A conference report of SemTechBiz 2013 in San Francisco, from a datamining and knowledge-management point of view. It covers several companies with their automatic algorithms to extract data from cleverly discovered crowed-curated data sources, or using UI tools to leverage existing utility to lure user help mark up the data...
Many companies face the challenge of building up a data science team from scratch and it can be hard to figure out how to start. In 2016, I was the first hire of a new data science team, with little infrastructure or strategy in place. Over the years, there were many different challenges for us to solve and mistakes to learn from as the team got more and more mature. This talk is about what I learned about the process of building up a data science team, from both my own experience in the past years and conversations with other data scientists in a similar situation.
This document discusses advanced use of metadata in WordPress beyond simple text fields. It defines metadata as additional information about a post like phone number or product price. When used with taxonomies and custom post types, complex data relations can be created. It lists popular plugins for managing metadata, including Advanced Custom Fields, CMB2, and Fieldmanager. Code examples are provided in a Github repository link.
O documento resume os benefícios e serviços oferecidos por um cruzeiro fluvial de luxo pela Uniworld. O cruzeiro oferece cabines luxuosas, refeições de qualidade, programações culturais, passeios exclusivos e atividades como ioga e personal trainer. A Uniworld possui uma frota de 17 navios que navegam por diversas partes do mundo com altos níveis de satisfação entre os clientes.
El aprendizaje virtual es una forma de adquirir conocimiento mediante el uso de tecnologías de la información educativas, las cuales actúan como intermediarias entre la interacción alumno-docente y alumno-alumno. El aprendizaje virtual permite al alumno ser responsable de su propio aprendizaje y adaptarlo a su horario y ubicación geográfica, mediado por la computadora y disponible en cualquier momento. Requiere que el docente propicie la interacción entre participantes y el material digital, y que cuide la cal
Este documento resume varias herramientas web como Slideshare (una plataforma para compartir presentaciones), PDF (un formato de archivo propietario de Adobe), canales de YouTube (donde los usuarios pueden subir videos y suscribirse a otros canales) y las nuevas funciones de edición de video en YouTube.
El documento describe las características de la Web 2.0, la cual se enfoca en facilitar la máxima interacción entre usuarios a través de redes sociales. La Web 2.0 se caracteriza por ser altamente interactiva y dinámica, permitiendo la participación y colaboración de los usuarios. Entre las herramientas clave de la Web 2.0 se encuentran Google, blogs, redes sociales y YouTube.
Virtual City Company Profile 26 July VC HighlightsVirtualCityKe
Virtual City is a technology firm that develops mobile solutions for the agriculture and supply chain sectors in Africa. It provides digital tools to increase financial inclusion for farmers and reduce risks for financial service providers. The document outlines Virtual City's solutions which include collateral management, distribution services, productivity reporting, brokerage solutions, and financial systems. The goal is to increase efficiency, visibility, and transparency across supply chains in Kenya, Uganda, Rwanda, Tanzania and 20 more African countries over the next 5 years.
All on Adaptive and Extended Cursor SharingMohamed Houri
Dig into details on how Oracle has implemented Adaptive Cursor Sharing feature to make using bind variables and having optimal plans at each query execution possible
Du Yaqiong has over 5 years of work experience in human resources, entrepreneurship, and legal work. She holds a Master's degree in MBA and has worked for both private companies and local government. Her experience includes founding two small businesses, holding human resources roles, and conducting research on business strategy and Chinese market trends. She is seeking new opportunities that utilize her skills in management, marketing, law, and cross-cultural business operations.
Farm Africa has received a new £3 million grant from the UK Government, through the FoodTrade East and Southern Africa trade enhancement and promotion programme.
Continuous improvement is important for any organization to succeed. A quiz is provided to test understanding of continuous improvement principles like establishing a vision, engaging employees, measuring performance, identifying issues, testing solutions, and institutionalizing improvements. Answering the quiz questions correctly demonstrates knowledge of how to continuously improve processes within an organization.
There are many different music genres that classify types of music according to their purpose. The main genres include vocal music, performed by singers with or without instruments; instrumental music, played only with instruments; and vocal and instrumental combined genres. Other genres are religious music for religious contexts, both liturgical and non-liturgical; profane genres for entertainment without religious purpose like popular, cultured, and folk music; and functional genres that provide background music for events.
El documento presenta un resumen de las principales teorías del comercio internacional. Comienza con las teorías preclásicas como el mercantilismo y los fisiócratas. Luego pasa a describir las teorías clásicas de Adam Smith, David Ricardo y John Stuart Mill. Más adelante se detalla a los neoclásicos y postclásicos como Keynes. Finalmente menciona brevemente las teorías marxistas y algunas teorías alternativas como la disponibilidad y el ciclo del producto.
The document provides an overview of management information systems (MIS). It defines key concepts such as data, information, and systems. It explains that an MIS is a system for collecting, processing, storing, and distributing data to managers within an organization. The main outputs of an MIS are scheduled reports, key indicator reports, demand reports, and exception reports. These help managers monitor performance and make decisions. Overall, the document serves as an introduction to MIS, covering essential elements like the relationship between data, information, and systems.
This curriculum vitae outlines Luthfi Mohamad Latief's education and work experience. He received a Bachelor's degree in Information Systems from Bina Nusantara University in 2012. His work experience includes positions as a System Analyst, Data Analyst, and Business Analyst. He is proficient in languages such as Java, ASP.NET, PHP, and databases including MySQL, Oracle, and PostgreSQL.
Key Skills Required for Data EngineeringFibonalabs
Data Engineering is a term whose probability of appearing on social media platforms is as high as encountering a black car on a highway. It is a hot topic everywhere due to many reasons. In the past couple of years, Data Engineering has been chosen as a profession by so many people. Organizations have increased the number of vacancies for this job, and all this for what? Because data is everything. Handling a bulk of data that we store on our clouds or hardware, structuring it, making it useful, formatting it, and so much more can be done if you have the right data engineering skills.
Information Governance and ediscovery in office 365 ediscovery deep divebilgore
This document provides information about a three-part webinar series on Office 365 for information governance and eDiscovery practitioners. Part II focuses on eDiscovery tools in Office 365, including what types of electronically stored information are available for discovery and subject to the built-in eDiscovery tools. It outlines the Exchange-specific and SharePoint eDiscovery tools, including live demonstrations. Key aspects of the Office 365 Compliance Center are also discussed. The document concludes with various considerations regarding eDiscovery capabilities and limitations within Office 365.
This resume is for Rehan Shaik, who has over 5 years of experience working with cloud solutions like Microsoft Office 365, Azure, and Enterprise Mobility Suite. He currently works as a Technical Specialist at Spusht Technologies, where he designs and implements cloud solutions and provides training. Previously he worked as a Cloud Consultant and Support Engineer for Office 365. He holds certifications in CCNA, MCTS for Exchange Server 2010, Windows Server 2008, and Office 365. He has a Bachelor's degree in Information Technology.
Unifying Business Information with Dashboards Rahul Singh
This webinar recording shows how different options both open source and software as a service for building dashboards of visualizations. It includes reviews of Domo.com, Microsoft PowerBI, Tableau, TIBCO Spotfire, Qliq Sense, Metabase, Redash, Cyfe, Grafana, and Kibana
This document provides an overview of what is involved in getting a new database for a charity. It discusses why spreadsheets are problematic and some of the key considerations for charities in selecting and implementing a new database system, such as defining requirements, understanding responsibilities, and ensuring the necessary ecosystem is in place to support the database. The document is adapted from a one-day training course on getting a new database and is intended to start charity leaders thinking practically about the process.
Learn about the types of SaaS and commercial software available that can help your company connect its key systems and unlock new information integration capabilities.
Want to know more about Common Data Model and Service? You need to understant what's the difference between CDS for Apps and Analytics? Feel free to use these slides and send me your feed backs.
This presentation shows how different options of both open source and software-as-a-service applications compare for building dashboards of visualizations. It includes reviews of Domo.com, Microsoft PowerBI, Tableau, TIBCO Spotfire, Qliq Sense, Metabase, Redash, Cyfe, Grafana, and Kibana.
Este documento resume varias herramientas web como Slideshare (una plataforma para compartir presentaciones), PDF (un formato de archivo propietario de Adobe), canales de YouTube (donde los usuarios pueden subir videos y suscribirse a otros canales) y las nuevas funciones de edición de video en YouTube.
El documento describe las características de la Web 2.0, la cual se enfoca en facilitar la máxima interacción entre usuarios a través de redes sociales. La Web 2.0 se caracteriza por ser altamente interactiva y dinámica, permitiendo la participación y colaboración de los usuarios. Entre las herramientas clave de la Web 2.0 se encuentran Google, blogs, redes sociales y YouTube.
Virtual City Company Profile 26 July VC HighlightsVirtualCityKe
Virtual City is a technology firm that develops mobile solutions for the agriculture and supply chain sectors in Africa. It provides digital tools to increase financial inclusion for farmers and reduce risks for financial service providers. The document outlines Virtual City's solutions which include collateral management, distribution services, productivity reporting, brokerage solutions, and financial systems. The goal is to increase efficiency, visibility, and transparency across supply chains in Kenya, Uganda, Rwanda, Tanzania and 20 more African countries over the next 5 years.
All on Adaptive and Extended Cursor SharingMohamed Houri
Dig into details on how Oracle has implemented Adaptive Cursor Sharing feature to make using bind variables and having optimal plans at each query execution possible
Du Yaqiong has over 5 years of work experience in human resources, entrepreneurship, and legal work. She holds a Master's degree in MBA and has worked for both private companies and local government. Her experience includes founding two small businesses, holding human resources roles, and conducting research on business strategy and Chinese market trends. She is seeking new opportunities that utilize her skills in management, marketing, law, and cross-cultural business operations.
Farm Africa has received a new £3 million grant from the UK Government, through the FoodTrade East and Southern Africa trade enhancement and promotion programme.
Continuous improvement is important for any organization to succeed. A quiz is provided to test understanding of continuous improvement principles like establishing a vision, engaging employees, measuring performance, identifying issues, testing solutions, and institutionalizing improvements. Answering the quiz questions correctly demonstrates knowledge of how to continuously improve processes within an organization.
There are many different music genres that classify types of music according to their purpose. The main genres include vocal music, performed by singers with or without instruments; instrumental music, played only with instruments; and vocal and instrumental combined genres. Other genres are religious music for religious contexts, both liturgical and non-liturgical; profane genres for entertainment without religious purpose like popular, cultured, and folk music; and functional genres that provide background music for events.
El documento presenta un resumen de las principales teorías del comercio internacional. Comienza con las teorías preclásicas como el mercantilismo y los fisiócratas. Luego pasa a describir las teorías clásicas de Adam Smith, David Ricardo y John Stuart Mill. Más adelante se detalla a los neoclásicos y postclásicos como Keynes. Finalmente menciona brevemente las teorías marxistas y algunas teorías alternativas como la disponibilidad y el ciclo del producto.
The document provides an overview of management information systems (MIS). It defines key concepts such as data, information, and systems. It explains that an MIS is a system for collecting, processing, storing, and distributing data to managers within an organization. The main outputs of an MIS are scheduled reports, key indicator reports, demand reports, and exception reports. These help managers monitor performance and make decisions. Overall, the document serves as an introduction to MIS, covering essential elements like the relationship between data, information, and systems.
This curriculum vitae outlines Luthfi Mohamad Latief's education and work experience. He received a Bachelor's degree in Information Systems from Bina Nusantara University in 2012. His work experience includes positions as a System Analyst, Data Analyst, and Business Analyst. He is proficient in languages such as Java, ASP.NET, PHP, and databases including MySQL, Oracle, and PostgreSQL.
Key Skills Required for Data EngineeringFibonalabs
Data Engineering is a term whose probability of appearing on social media platforms is as high as encountering a black car on a highway. It is a hot topic everywhere due to many reasons. In the past couple of years, Data Engineering has been chosen as a profession by so many people. Organizations have increased the number of vacancies for this job, and all this for what? Because data is everything. Handling a bulk of data that we store on our clouds or hardware, structuring it, making it useful, formatting it, and so much more can be done if you have the right data engineering skills.
Information Governance and ediscovery in office 365 ediscovery deep divebilgore
This document provides information about a three-part webinar series on Office 365 for information governance and eDiscovery practitioners. Part II focuses on eDiscovery tools in Office 365, including what types of electronically stored information are available for discovery and subject to the built-in eDiscovery tools. It outlines the Exchange-specific and SharePoint eDiscovery tools, including live demonstrations. Key aspects of the Office 365 Compliance Center are also discussed. The document concludes with various considerations regarding eDiscovery capabilities and limitations within Office 365.
This resume is for Rehan Shaik, who has over 5 years of experience working with cloud solutions like Microsoft Office 365, Azure, and Enterprise Mobility Suite. He currently works as a Technical Specialist at Spusht Technologies, where he designs and implements cloud solutions and provides training. Previously he worked as a Cloud Consultant and Support Engineer for Office 365. He holds certifications in CCNA, MCTS for Exchange Server 2010, Windows Server 2008, and Office 365. He has a Bachelor's degree in Information Technology.
Unifying Business Information with Dashboards Rahul Singh
This webinar recording shows how different options both open source and software as a service for building dashboards of visualizations. It includes reviews of Domo.com, Microsoft PowerBI, Tableau, TIBCO Spotfire, Qliq Sense, Metabase, Redash, Cyfe, Grafana, and Kibana
This document provides an overview of what is involved in getting a new database for a charity. It discusses why spreadsheets are problematic and some of the key considerations for charities in selecting and implementing a new database system, such as defining requirements, understanding responsibilities, and ensuring the necessary ecosystem is in place to support the database. The document is adapted from a one-day training course on getting a new database and is intended to start charity leaders thinking practically about the process.
Learn about the types of SaaS and commercial software available that can help your company connect its key systems and unlock new information integration capabilities.
Want to know more about Common Data Model and Service? You need to understant what's the difference between CDS for Apps and Analytics? Feel free to use these slides and send me your feed backs.
This presentation shows how different options of both open source and software-as-a-service applications compare for building dashboards of visualizations. It includes reviews of Domo.com, Microsoft PowerBI, Tableau, TIBCO Spotfire, Qliq Sense, Metabase, Redash, Cyfe, Grafana, and Kibana.
The document describes a business intelligence software called Qiagram that allows non-technical domain experts to easily explore and query complex datasets through a visual drag-and-drop interface without SQL or programming knowledge. It provides centralized data management, integration with various data sources, and self-service visual querying capabilities to help researchers gain insights from their data.
Sowjanya H J_BE with 4 yr exp_ Informaticasowjanya H J
The document provides a curriculum vitae for Sowjanya HJ, a software engineer with 4 years of experience in data warehousing using the Informatica ETL tool. She has worked on multiple projects involving data integration and maintenance for clients like Societe Generale and ALD Automotive. Her roles have included developing mappings, performing testing, and providing documentation and training. She is proficient in technologies like Informatica, Oracle, SQL, and UNIX.
Top Business Intelligence Trends for 2016 by Panorama SoftwarePanorama Software
10 top BI trends for 2016 – by Panorama
Its all about the insight
Visual perception rules
The learning suggestive system - AI gets real
The data product chain becomes democratized
Cloud (finally)
“Mobile”
Automated data integration
Interned of things data accelerating into reality
Hadoop accelerators are the last chance for Hadoop
Fading of the centralized on–premise DWH
Do you have a true Big Data Analytics platform? What's a true Big Data Analytics platform? How can it help capitalize big data? What's needed to build one? This short introductory presentation can help understand what's a true Big Data Analytics platform and how it really helps building Big Data Analytics applications.
Canadian Experts Discuss Modern Data Stacks and Cloud Computing for 5 Years o...Daniel Zivkovic
Two #ModernDataStack talks and one DevOps talk: https://youtu.be/4R--iLnjCmU
1. "From Data-driven Business to Business-driven Data: Hands-on #DataModelling exercise" by Jacob Frackson of Montreal Analytics
2. "Trends in the #DataEngineering Consulting Landscape" by Nadji Bessa of Infostrux Solutions
3. "Building Secure #Serverless Delivery Pipelines on #GCP" by Ugo Udokporo of Google Cloud Canada
We ran out of time for the 4th presenter, so the event will CONTINUE in March... stay tuned! Compliments of #ServerlessTO.
The document provides a technical summary and experience profile of Nootan Sharma. It summarizes his 8 years of experience in data warehousing and business intelligence projects. It details his expertise in tools like Informatica PowerCenter, Oracle, SQL Server and data quality management. It also lists his past work experience with companies like Capgemini, Birlasoft and Infogain on various BI and data warehousing projects for clients in different sectors.
Details
For September, DataScience Sg is starting a new series specially for the undergrads. The series aims to showcase undergrads and fresh grads project work.
The series is meant to encourage youths in joining the data science & artificial intelligence career. And for the employers to come in and recruit talents for your companies.
In this inaugural meetup for the series, we have the following youths to share about their work and project and how their projects helped them in their current career.
DSSG strongly encourage current undergrads and fresh grads to join us in this series. Its still open to the general community!
Details:
Ivan is currently a Data Scientist at Tech In Asia (TIA), with experience in developing recommender systems, customer churn prediction, network analysis and driving BI solutions through data visualization and analytics. He graduated with a Bachelor of Science (Informations Systems) and Major in Marketing Analytics from SMU in 2018.
Ivan will be sharing about his Final Year Project when he was an undergrad at SMU — KDDLabs, a web-based data mining application while explaining the team’s motivations, challenges and key takeaways. In addition, he will also be talking about his first data product at TIA, developing recommender systems to help better connect jobseekers with employers and vice versa.
LinkedIn: https://www.linkedin.com/in/yongsiang/
FYP: http://smu.sg/kddlabs
Solving Data Discovery Challenges at Lyft with Amundsen, an Open-source Metad...Databricks
Amundsen is the data discovery metadata platform that originated from Lyft which is recently donated to Linux Foundation AI. Since its open-sourced, Amundsen has been used and extended by many different companies within our community.
Siva Kanagaraj has over 18 years of experience in information technology, including data modeling, ETL architecture, data warehousing, business intelligence, and data integration projects. He has extensive experience working with Fortune 500 companies in retail, banking, and telecommunications. Some of his key roles and responsibilities included designing conceptual, logical, and physical data models; defining ETL architectures and data mapping; managing software delivery from vendors; and developing enterprise data warehousing and master data management programs. He is proficient in various technologies such as IBM Infosphere, Oracle, SQL, Java, and mainframe applications.
This document provides an overview of big data analytics. It discusses challenges of big data like increased storage needs and handling varied data formats. The document introduces Hadoop and Spark as approaches for processing large, unstructured data at scale. Descriptive and predictive analytics are defined, and a sample use case of sentiment analysis on Twitter data is presented, demonstrating data collection, modeling, and scoring workflows. Finally, the author's skills in areas like Java, Python, SQL, Hadoop, and predictive analytics tools are outlined.
Similar to GEODI : a Practical Information Management Solution For Construction Sector (20)
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...Social Samosa
The Modern Marketing Reckoner (MMR) is a comprehensive resource packed with POVs from 60+ industry leaders on how AI is transforming the 4 key pillars of marketing – product, place, price and promotions.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
The Ipsos - AI - Monitor 2024 Report.pdfSocial Samosa
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
2. • Our solutions target 3 aspects of Information Management
– Access (Search, query and Reporting)
– Capture and Dispatch (Teams, Stakeholders,..)
– Store and Archive
Content of The Presentation
– First, Problem definition and a few challenge
– After, Basic Features of our Solution and How İt Solves
– A Short Video of Running Software (~5m)
– Questions - Answers
3. A Few Challenge
Access (Search, Query and Reportings)
– Unstuctured Data continuously coming from many different sources creates the problem.
– Researchs show that 40% of White Collar Workers spent their times for searching.
– Key person dependancy is always an issue.
– Increasing need to Access the information any where, any time.
Capture and Dispatch (Teams , Stakeholders ,..)
– There are many stakeholders and each Works differently. Forcing them to use a single
platform is not practical and sustaninable. E-Mail is a practical solution and widely used
but not observable.
– In Construction Sector almost every piece of data is related to some place or location. How
well do we use this infomation?
Store And Archive
– Archiving data stored in many diffrent places and different format is
not easy and sustainable.
4. Solution!
• 2 Solution named GEODI ve MOBIDI can mostly overcome
these challenges.
• GEODI ve MOBIDI Provides:
– Unique,
– Simple
– Sustainable solutions.
5. Unique!
GEODI is an Innovative Solution which reads and Interprets
any kind of content from many different sources by using
Natural Language Processing and Machine Learning.
Unique synthesize of a Search Engine and a GIS. Use Location
Information inside the Content. Access documents from the Lists
or Map. By means of a tick you can query Locations of DrillHoles, Reports or Drawings about
a kilometer, A Drawing or a Report for a place.
Uses existing data. No extra data entry or data
transformation is required. Office Documents like Word, Excel, PDF, CAD
Drawings like DWG, DGN, e-Mails , Sections Files, Web Pages, Twitter or DataBases ….
Automated Information or Metadata Extracting. Peoples, Kilometers, Place
Names, Parcel Lots, Terms, Companies, Electric Panels, Part Numbers … or anything you can
define.
6. Simple!
Search, Query or Archive from a single point. The content you search may
come from many different places. İn a Dropbox storage, in an e-mail body or in an e-mail
attachment.
GEODI does not require data entry. Uses existing data from
where they reside. Does not create new training requirements or new hard to follow
processes.
Open CAD Drawings, Office or PDF Documents or Databases
from any where using a single software.
Typos and Different Languages in content are not important anymore.
GEODI searchs take these realities into account. «kil and clay» are the same thing. You may also write
«klay».
7. Sustainable!
• GEODI continuously monitors data souces. Once you define
the sources rest is automatic.
• Enrich the content. Take notes to any document, CAD Drawing or a Photograph.
Mentions about about a person, a location, a kilometer or a parcel. Next search you will
find them for you or your team member. These will also Show up in the map.
• Field data capture is very easy. Photograps, Sound Recordings,
Videos will match a location and project. You don’t have to think
about data transfer or whether network is available.
• Sending data or messages to field teams is also possible and veri
easy.
8. Watch The Working Software (~5m)
• https://www.youtube.com/watch?v=EKU0XIY7SgY
• GEODI.v10.mp4