This document discusses how IoT can enable smart farming and food systems. It describes an ecosystem of apps that can push data between farmers, equipment, weather services, and government agencies to optimize activities like pesticide spraying. The IoF2020 project aims to demonstrate IoT business cases across the food sector through large-scale trials. It will integrate available technologies, address user needs, and establish an IoT ecosystem to facilitate large-scale adoption of IoT in European agriculture and food.
Bridging the skills gap IoT Tech Expo Berlin 1 Jun 2017Sjaak Wolfert
Bridging the skills gap: How industrial/academic partnerships can benefit your IoT business.
Several of the large IoT players have recently partnered with universities and colleges worldwide to ensure that the next generation of recruits have the high level technical skills and understanding of the IoT ecosystem need to add value to their businesses. How should you take advantage of such collaboration opportunities, and how can they translate into increasing innovation and getting that competitive edge within your organisation? The EU-funded IoT Large Scale Pilot 'The Internet of Food and Farm 2020 (IoF2020)' will be used as a showcase. New opportunities for collaboration will be mentioned.
IoF2020 project overview for BDE/eRosa/GODANSjaak Wolfert
Presentation of the IoF2020 project at the 2nd Joint workshop of Big Data Europe, eRosa & GODAN on European Policy Perspectives on Data-intensive Agriculture & Food.
IoF2020 project overview for S3 platform Big Data and TraceabilitySjaak Wolfert
Presentation at a technical meeting of the S3 AgriFood platform on Big Data and Traceability hosted by the regional government of Andalusia. Special attention was paid to those use cases that are dealing with this theme.
Entrepreneurs active in the agricultural sector spend more and more of their time registering and publishing all kinds of data, as the government, certification bodies, banks, clients, the retail sector and consumers all want to have more insight into how safe and sustainable their food is.
The majority of this agriculture-related data is still paper-based, spread over different systems and difficult to exchange between the people who want to access it. This is why digitising agricultural business data is an important item on the agenda. With FarmDigital, we can respond to these developments.
FarmDigital is an action research programme which is currently working towards a situation in which data only needs to be entered once and can be shared easily. It aims to achieve this goal by standardising data and developing and implementing an independent, digital platform for people to use.
Fostering Business and Software Ecosystems for large-scale Uptake of IoT in F...Sjaak Wolfert
The Internet of Things (IoT) is expected to be a real game changer that will drastically improve productivity and sustainability in food and farming. However, current IoT applications in this domain are still fragmentary and mainly used by a small group of early adopters. The Internet of Food and Farm 2020 Large-Scale Pilot (IoF2020) addresses the organizational and technological challenges to overcome this situation by fostering a large-scale uptake of IoT in the European food and farming domain. The heart of the project is formed by a balanced set of multi-actor trials that reflect the diversity of the food and farming domain. Each trial is composed of well-delineated use cases developing IoT solutions for the most relevant challenges of the concerned subsector. The project conducts 5 trials with a total of 19 use cases in arable, dairy, fruits, vegetables and meat production. IoF2020 embraces a lean multi-actor approach that combines the development of Minimal Viable Products (MVPs) in short iterations with the active involvement of various stakeholders. The architectural approach supports interoperability of multiple use case systems and reuse of IoT components across them. Use cases are also supported in developing business and solving governance issues. The IoF2020 ecosystem and collaboration space is established to boost the uptake of IoT in Food and Farming and pave the way for new innovations.
This document provides an overview of the IoF2020 project, which aims to foster large-scale adoption of IoT technologies in European farming and food production. The project objectives are to (1) demonstrate IoT's business value across various farming and food applications, (2) integrate and reuse available IoT technologies through open standards, and (3) ensure user acceptability by addressing needs like security, privacy and trust. A lean multi-actor approach will be used to conduct trials of IoT use cases in areas like arable, vegetables and dairy farming. The project aims to establish an IoT ecosystem to support large-scale adoption beyond the lifetime of the project.
The BigDataGrapes vision enabling global disruption of the grapevine-powered ...Big Data Grapes
Panagiotis Zervas presentation on the vision of the project at the BigDataGrapes workshop "Big Data for the Grapevine Industries" in Pisa, Italy (8/3/2019)
This document discusses how IoT can enable smart farming and food systems. It describes an ecosystem of apps that can push data between farmers, equipment, weather services, and government agencies to optimize activities like pesticide spraying. The IoF2020 project aims to demonstrate IoT business cases across the food sector through large-scale trials. It will integrate available technologies, address user needs, and establish an IoT ecosystem to facilitate large-scale adoption of IoT in European agriculture and food.
Bridging the skills gap IoT Tech Expo Berlin 1 Jun 2017Sjaak Wolfert
Bridging the skills gap: How industrial/academic partnerships can benefit your IoT business.
Several of the large IoT players have recently partnered with universities and colleges worldwide to ensure that the next generation of recruits have the high level technical skills and understanding of the IoT ecosystem need to add value to their businesses. How should you take advantage of such collaboration opportunities, and how can they translate into increasing innovation and getting that competitive edge within your organisation? The EU-funded IoT Large Scale Pilot 'The Internet of Food and Farm 2020 (IoF2020)' will be used as a showcase. New opportunities for collaboration will be mentioned.
IoF2020 project overview for BDE/eRosa/GODANSjaak Wolfert
Presentation of the IoF2020 project at the 2nd Joint workshop of Big Data Europe, eRosa & GODAN on European Policy Perspectives on Data-intensive Agriculture & Food.
IoF2020 project overview for S3 platform Big Data and TraceabilitySjaak Wolfert
Presentation at a technical meeting of the S3 AgriFood platform on Big Data and Traceability hosted by the regional government of Andalusia. Special attention was paid to those use cases that are dealing with this theme.
Entrepreneurs active in the agricultural sector spend more and more of their time registering and publishing all kinds of data, as the government, certification bodies, banks, clients, the retail sector and consumers all want to have more insight into how safe and sustainable their food is.
The majority of this agriculture-related data is still paper-based, spread over different systems and difficult to exchange between the people who want to access it. This is why digitising agricultural business data is an important item on the agenda. With FarmDigital, we can respond to these developments.
FarmDigital is an action research programme which is currently working towards a situation in which data only needs to be entered once and can be shared easily. It aims to achieve this goal by standardising data and developing and implementing an independent, digital platform for people to use.
Fostering Business and Software Ecosystems for large-scale Uptake of IoT in F...Sjaak Wolfert
The Internet of Things (IoT) is expected to be a real game changer that will drastically improve productivity and sustainability in food and farming. However, current IoT applications in this domain are still fragmentary and mainly used by a small group of early adopters. The Internet of Food and Farm 2020 Large-Scale Pilot (IoF2020) addresses the organizational and technological challenges to overcome this situation by fostering a large-scale uptake of IoT in the European food and farming domain. The heart of the project is formed by a balanced set of multi-actor trials that reflect the diversity of the food and farming domain. Each trial is composed of well-delineated use cases developing IoT solutions for the most relevant challenges of the concerned subsector. The project conducts 5 trials with a total of 19 use cases in arable, dairy, fruits, vegetables and meat production. IoF2020 embraces a lean multi-actor approach that combines the development of Minimal Viable Products (MVPs) in short iterations with the active involvement of various stakeholders. The architectural approach supports interoperability of multiple use case systems and reuse of IoT components across them. Use cases are also supported in developing business and solving governance issues. The IoF2020 ecosystem and collaboration space is established to boost the uptake of IoT in Food and Farming and pave the way for new innovations.
This document provides an overview of the IoF2020 project, which aims to foster large-scale adoption of IoT technologies in European farming and food production. The project objectives are to (1) demonstrate IoT's business value across various farming and food applications, (2) integrate and reuse available IoT technologies through open standards, and (3) ensure user acceptability by addressing needs like security, privacy and trust. A lean multi-actor approach will be used to conduct trials of IoT use cases in areas like arable, vegetables and dairy farming. The project aims to establish an IoT ecosystem to support large-scale adoption beyond the lifetime of the project.
The BigDataGrapes vision enabling global disruption of the grapevine-powered ...Big Data Grapes
Panagiotis Zervas presentation on the vision of the project at the BigDataGrapes workshop "Big Data for the Grapevine Industries" in Pisa, Italy (8/3/2019)
DATA-FAIR - value creation by data sharing in agri-food businessSjaak Wolfert
The digitization of society makes data more important. This is enhanced by the Internet of Things (IoT) in which a variety of devices, sensors and the like are connected via the Internet together and deliver real-time data.
Many companies see data as the way to generate new business, also in the agri-food sector. However, the added value is only created when multiple data sources are combined, aggregated and analyzed. The sharing of data between companies in the chain is therefore a critical success factor.
Although several initiatives to share data have been initiated, this development seems to be stagnating. Now the agribusinesses are mainly developing their own proprietary platforms, resulting in a maze of platforms which makes it technically difficult to exchange data between different systems and devices. This causes rather more administrative burdens than they reduce.
Exchange of data between platforms and applications is currently inhibited because of discussions about ownership of data, privacy, fear of concentration of power in the chain and the lack of clear business models where added value of data sharing is distributed among the various stakeholders. Now it seems that the benefit to the primary producers - the farmers - is minimal and the agri-business seems to benefit most. This creates resistance to sharing data that inhibits innovations that ultimately serve the interests of the farmer and the competitiveness of the whole agri-food sector.
DATA-FAIR breaks this deadlock and will accelerate innovation by hosting several large-scale trials with companies and Wageningen Research in which applications are developed where data between various platforms is shared and value is created.
In these trials, the farmer plays a central role as a main supplier and manager of data. He or she determines who may use which data and under what conditions. Digital permissions will play an important role enabled by a central register (e.g. AgriTrust). Also, special attention is paid to the development of attractive and transparent business models and good organizational embedding (governance) so that the results will continue to exist after the project.
DATA-FAIR doesn’t create a new platform itself, but uses existing building blocks and will help improving these if necessary. Here one can think of open application interfaces (APIs) and standards to link platforms and databases. DATA-FAIR builds on experiences with existing data hubs such as EDI-Circle and AgriPlace.
FI-PPP SmartAgriFood and FIspace at IoT China 2013Sjaak Wolfert
This document summarizes a presentation about future internet business collaboration networks in agri-food, transport, and logistics. It discusses how information and communication technologies (ICT) are crucial drivers of innovation in multi-dimensional agri-food supply chain networks. It then describes the EU Future Internet Public-Private Partnership program and two projects it has funded - SmartAgriFood and FIspace. SmartAgriFood aims to boost the use of future internet technologies in agri-food through various pilots. FIspace aims to facilitate seamless cross-organizational collaboration and transparency through a platform integrating different technologies.
APIs and the Bot Revolution (APIDays Nordic, May 18)3scale
3scale's Nicolas presented "APIs and the Bot Revolution" at the APIDays Nordic event on May 18. He covered the importance of making bots smart by using APIs. APIs for bots need specific API design considerations and some different thinking about DX. Bots and APIs have the potential to introduce a paradigm shift about how we interact with technology.
Platforms for the Internet of Food & FarmCor Verdouw
Role and vision IoF2020 on platforms. Working Group 2 of the Digitising European Industry meeting on digital industrial platforms in Brussels, Smart Agriculture session, December 8th 2016
Smart Farming is a development that emphasizes the use of information and communication technology in the
cyber-physical farm management cycle. New technologies such as the Internet of Things and Cloud Computing
are expected to leverage this development and introduce more robots and artificial intelligence in farming.
This is encompassed by the phenomenon of Big Data, massive volumes of data with a wide variety that can be
captured, analysed and used for decision-making. This review aims to gain insight into the state-of-the-art of
Big Data applications in Smart Farming and identify the related socio-economic challenges to be addressed. Following
a structured approach, a conceptual framework for analysiswas developed that can also be used for future
studies on this topic. The review shows that the scope of Big Data applications in Smart Farming goes beyond
primary production; it is influencing the entire food supply chain. Big data are being used to provide predictive
insights in farming operations, drive real-time operational decisions, and redesign business processes for
game-changing business models. Several authors therefore suggest that Big Data will cause major shifts in
roles and power relationsamong different players in current food supply chain networks. The landscape of stakeholders
exhibits an interesting gamebetween powerful tech companies, venture capitalists and often small startups
and new entrants. At the same time there are several public institutions that publish open data, under the
condition that the privacy of persons must be guaranteed. The future of Smart Farming may unravel in a continuum
of two extreme scenarios: 1) closed, proprietary systems in which the farmer is part of a highly integrated
food supply chain or 2) open, collaborative systems inwhich the farmer and every other stakeholder in the chain
network is flexible in choosing business partners as well for the technology as for the food production side. The
further development of data and application infrastructures (platforms and standards) and their institutional
embedment will play a crucial role in the battle between these scenarios. From a socio-economic perspective,
the authors propose to give research priority to organizational issues concerning governance issues and suitable
business models for data sharing in different supply chain scenarios.
Aikaterini Kassimati presentation on the Table and Wine Grapes Pilot progress at the BigDataGrapes workshop "Big Data for the Grapevine Industries" in Pisa, Italy (8/3/2019)
Presented FIspace in a session at the 2nd European Conference on Future Internet (ECFI) where the FIware accelerators in agri-food were also presenting how they were planning to build upon FIWARE and FIspace.
KG2 has been collecting, compiling and managing data for agricultural marketing professionals for over 20
years.It serves the markets and works with the leading organisations involved in crop production in Australia.
Presented FIspace at a matchmaking event in The Netherlands for the FIWARE Accelerator FInish. Also the other accelerators SmarAgriFood, Fractals and SpeedUP!Europe were mentioned.
Présentation de l'API Prévi-LIS, outil de calculc de stades et d'aide à la décision maladies sur Grandes Cultures par Emmanuel MORIN, ARVALIS - Institut du végétal
Des données disponibles sur les produits phytosanitaires par API pour alimenter les outils d'aide à la décision et les logiciels de traçabilité agricole, par Sandrine HUET, ACTA
Retour d'expérience sur les API présenté par Thierry Gaillet, API Evangelist et de Mathias HERMAN avec un zoom spécifique sur le domaine smart Agriculture
Here are the key points covered in the information sheet:
- Nail care tools are implements that are used in manicure and pedicure services. Examples include cuticle nippers, nail files, nail buffers, etc.
- Nail care equipment includes items like manicure tables, foot spa basins, trolleys, etc.
- Nail care materials/supplies that are consumed include items like nail polish, cotton, lotion, foot soak, etc.
- Tools are durable items used by manicurists, while materials are consumable supplies.
- A variety of tools, equipment and materials are needed for services like manicure, pedicure and hand
Modern APIs: The Non-Technical User’s Guide | The Enterprise WorldTEWMAGAZINE
A Modern APIs (Application Programming Interface) is a software interface that allows two applications to communicate with each other. APIs have been around for quite a while.
DATA-FAIR - value creation by data sharing in agri-food businessSjaak Wolfert
The digitization of society makes data more important. This is enhanced by the Internet of Things (IoT) in which a variety of devices, sensors and the like are connected via the Internet together and deliver real-time data.
Many companies see data as the way to generate new business, also in the agri-food sector. However, the added value is only created when multiple data sources are combined, aggregated and analyzed. The sharing of data between companies in the chain is therefore a critical success factor.
Although several initiatives to share data have been initiated, this development seems to be stagnating. Now the agribusinesses are mainly developing their own proprietary platforms, resulting in a maze of platforms which makes it technically difficult to exchange data between different systems and devices. This causes rather more administrative burdens than they reduce.
Exchange of data between platforms and applications is currently inhibited because of discussions about ownership of data, privacy, fear of concentration of power in the chain and the lack of clear business models where added value of data sharing is distributed among the various stakeholders. Now it seems that the benefit to the primary producers - the farmers - is minimal and the agri-business seems to benefit most. This creates resistance to sharing data that inhibits innovations that ultimately serve the interests of the farmer and the competitiveness of the whole agri-food sector.
DATA-FAIR breaks this deadlock and will accelerate innovation by hosting several large-scale trials with companies and Wageningen Research in which applications are developed where data between various platforms is shared and value is created.
In these trials, the farmer plays a central role as a main supplier and manager of data. He or she determines who may use which data and under what conditions. Digital permissions will play an important role enabled by a central register (e.g. AgriTrust). Also, special attention is paid to the development of attractive and transparent business models and good organizational embedding (governance) so that the results will continue to exist after the project.
DATA-FAIR doesn’t create a new platform itself, but uses existing building blocks and will help improving these if necessary. Here one can think of open application interfaces (APIs) and standards to link platforms and databases. DATA-FAIR builds on experiences with existing data hubs such as EDI-Circle and AgriPlace.
FI-PPP SmartAgriFood and FIspace at IoT China 2013Sjaak Wolfert
This document summarizes a presentation about future internet business collaboration networks in agri-food, transport, and logistics. It discusses how information and communication technologies (ICT) are crucial drivers of innovation in multi-dimensional agri-food supply chain networks. It then describes the EU Future Internet Public-Private Partnership program and two projects it has funded - SmartAgriFood and FIspace. SmartAgriFood aims to boost the use of future internet technologies in agri-food through various pilots. FIspace aims to facilitate seamless cross-organizational collaboration and transparency through a platform integrating different technologies.
APIs and the Bot Revolution (APIDays Nordic, May 18)3scale
3scale's Nicolas presented "APIs and the Bot Revolution" at the APIDays Nordic event on May 18. He covered the importance of making bots smart by using APIs. APIs for bots need specific API design considerations and some different thinking about DX. Bots and APIs have the potential to introduce a paradigm shift about how we interact with technology.
Platforms for the Internet of Food & FarmCor Verdouw
Role and vision IoF2020 on platforms. Working Group 2 of the Digitising European Industry meeting on digital industrial platforms in Brussels, Smart Agriculture session, December 8th 2016
Smart Farming is a development that emphasizes the use of information and communication technology in the
cyber-physical farm management cycle. New technologies such as the Internet of Things and Cloud Computing
are expected to leverage this development and introduce more robots and artificial intelligence in farming.
This is encompassed by the phenomenon of Big Data, massive volumes of data with a wide variety that can be
captured, analysed and used for decision-making. This review aims to gain insight into the state-of-the-art of
Big Data applications in Smart Farming and identify the related socio-economic challenges to be addressed. Following
a structured approach, a conceptual framework for analysiswas developed that can also be used for future
studies on this topic. The review shows that the scope of Big Data applications in Smart Farming goes beyond
primary production; it is influencing the entire food supply chain. Big data are being used to provide predictive
insights in farming operations, drive real-time operational decisions, and redesign business processes for
game-changing business models. Several authors therefore suggest that Big Data will cause major shifts in
roles and power relationsamong different players in current food supply chain networks. The landscape of stakeholders
exhibits an interesting gamebetween powerful tech companies, venture capitalists and often small startups
and new entrants. At the same time there are several public institutions that publish open data, under the
condition that the privacy of persons must be guaranteed. The future of Smart Farming may unravel in a continuum
of two extreme scenarios: 1) closed, proprietary systems in which the farmer is part of a highly integrated
food supply chain or 2) open, collaborative systems inwhich the farmer and every other stakeholder in the chain
network is flexible in choosing business partners as well for the technology as for the food production side. The
further development of data and application infrastructures (platforms and standards) and their institutional
embedment will play a crucial role in the battle between these scenarios. From a socio-economic perspective,
the authors propose to give research priority to organizational issues concerning governance issues and suitable
business models for data sharing in different supply chain scenarios.
Aikaterini Kassimati presentation on the Table and Wine Grapes Pilot progress at the BigDataGrapes workshop "Big Data for the Grapevine Industries" in Pisa, Italy (8/3/2019)
Presented FIspace in a session at the 2nd European Conference on Future Internet (ECFI) where the FIware accelerators in agri-food were also presenting how they were planning to build upon FIWARE and FIspace.
KG2 has been collecting, compiling and managing data for agricultural marketing professionals for over 20
years.It serves the markets and works with the leading organisations involved in crop production in Australia.
Presented FIspace at a matchmaking event in The Netherlands for the FIWARE Accelerator FInish. Also the other accelerators SmarAgriFood, Fractals and SpeedUP!Europe were mentioned.
Présentation de l'API Prévi-LIS, outil de calculc de stades et d'aide à la décision maladies sur Grandes Cultures par Emmanuel MORIN, ARVALIS - Institut du végétal
Des données disponibles sur les produits phytosanitaires par API pour alimenter les outils d'aide à la décision et les logiciels de traçabilité agricole, par Sandrine HUET, ACTA
Retour d'expérience sur les API présenté par Thierry Gaillet, API Evangelist et de Mathias HERMAN avec un zoom spécifique sur le domaine smart Agriculture
Here are the key points covered in the information sheet:
- Nail care tools are implements that are used in manicure and pedicure services. Examples include cuticle nippers, nail files, nail buffers, etc.
- Nail care equipment includes items like manicure tables, foot spa basins, trolleys, etc.
- Nail care materials/supplies that are consumed include items like nail polish, cotton, lotion, foot soak, etc.
- Tools are durable items used by manicurists, while materials are consumable supplies.
- A variety of tools, equipment and materials are needed for services like manicure, pedicure and hand
Modern APIs: The Non-Technical User’s Guide | The Enterprise WorldTEWMAGAZINE
A Modern APIs (Application Programming Interface) is a software interface that allows two applications to communicate with each other. APIs have been around for quite a while.
Why APIs need their own development method - Open and Lean method to develop ...Marjukka Niinioja
This document summarizes Marjukka Niinioja's keynote presentation on APIOps Cycles. The presentation introduces APIOps Cycles as a lean method for building good APIs for business. It discusses reasons why APIs need their own development method, including to minimize waste and do things right the first time. The method focuses on collaborating with API consumers early, using a DevOps mindset, and aligning API development with business needs.
Era of APIs: Why do we need an API StrategyBala Iyer
The document discusses the importance of API strategy. It notes that as software and connectivity increase, assets are becoming trapped within companies and an API strategy can liberate this value. An API allows companies to attract partners, build large data repositories, and explore new growth opportunities. The document also discusses how companies should treat developers as sitting between them and customers, and how this shifts the traditional value chain. It provides a case study of Ford's connected car strategy and API-enabled ecosystem.
INTERFACE, by apidays - Design for your API customers with APIOps Cycles by ...apidays
INTERFACE, by apidays 2021 - It’s APIs all the way down
June 30, July 1 & 2, 2021
Design for your API customers with APIOps Cycles
Marjukka Niinioja, Founding partner APItalista, Osaango Oy, Tivi-magazine 100 IT influencer 2018-2020
Webinar: Big Data and Artificial Intelligence: Driving Growth and Innovation ...IDC4EU
This is the slide deck of the webinar held for the European Data Market study.
Artificial intelligence is widely recognised as an area of strategic importance and a key driver of economic development. However, to build reliable and high-performing artificial intelligence-based systems, access ti high quality data is an essential factor. Against this backdrop, the European Commission's aim is to stimulate data sharing and open more data for re-use to enable the conditions for a digital renaissance of new data-driven businesses and a broader take-up of artificial intelligence and other digital technologies throughout Europe.
Key speakers:
Giorgio Micheletti, Consulting Director at IDC4EU and project manager of the European Data Market study
Andrea Minonne, Senior Research Analyst at IDC
Sonja Zillner, Senior Expert Corporate Technology at Siemens
Jarkko Moilanen, APInf, “Get Control of Your IoT Cruisers” - Mindtrek 2017Mindtrek
"Amount of data in IoT devices increases to new heights during the following years – we’ve just witnessed the beginning. Data lakes become oceans. Data oceans are filled with transport which so far has been “boats” capable of small scale service. Future IoT systems and ecosystems required cruise ships with a lot of services, automation and different service plans. How to manage the cruise ship? API management fits in to traditional solutions, but real-time APIs are a bit different case."
Jarkko Moilanen,
Chief APItalist, APInf Oy
International Technology Conference Mindtrek 2017
20th - 21st of September, 2017
Tampere, Finland
IRJET- Voice Controlled Machineries in Agricultural Field using Raspberry PiIRJET Journal
This document describes a voice controlled agricultural machinery system using a Raspberry Pi 3. The system allows farmers to control agricultural devices like motors through voice commands to an Android device. The Android device is connected to the Raspberry Pi 3 via Wi-Fi. The Raspberry Pi 3 receives the voice commands and uses relays to operate devices like motors. This automation reduces human labor needs and makes farming operations easier. The system architecture involves an Android device for voice input, Raspberry Pi 3 for processing commands, relays to control devices, and ThingSpeak as the communication protocol between devices.
API.AI is a natural language understanding platform that makes it easy for developers (and non-developers) to design and integrate intelligent and sophisticated conversational user interfaces into mobile apps, web applications, devices, and bots.
Voice Controlled News Web Based Application With Speech Recognition Using Ala...IRJET Journal
The document describes a voice-controlled news web application that allows users to access news using voice commands through an AI assistant. The application was developed using technologies like ReactJS, NodeJS, MongoDB, and the Alan AI platform. It aims to make accessing news a more interactive and fun experience by allowing users to get news updates through natural voice interactions with a virtual assistant. The application analyzes voice commands through Alan AI's speech recognition capabilities and responds by presenting the requested news in an audio format.
8 Python Tools That Empower Android App Development.pptxOliviaManek
What makes Python even more interesting is the variety of Python tools for android app development. Let us look at the top 8 python tools helpful in android app development.
This document describes a virtual personal assistant created by students at Priyadarshini College of Engineering. It discusses the implementation of the assistant using Python programming language and key technologies like artificial intelligence and machine learning. The assistant is able to understand voice commands, answer questions, and complete basic tasks through integration of speech recognition, text-to-speech, and other libraries. The document outlines the hardware and software requirements and provides examples of how such a voice assistant could potentially be used in applications like customer service, education, and shopping.
IRJET - Speech Recognition using AndroidIRJET Journal
This document describes a speech recognition Android application that allows users to convert speech to text and text to speech. The application provides a fast, user-friendly interface for voice recognition and conversion. It uses modern algorithms to efficiently process speech signals and generate text. The application is useful for people with physical disabilities as it allows input and output without typing. The application development is discussed along with the technologies used, including the Android speech API and text-to-speech functionality.
Marketing in an API Environment Part 1 of 2Lori Fisher
1) An API allows software components to communicate by providing a set of routines, protocols, and tools for building applications. APIs standardize how programs interact with each other and access common data formats or functionality.
2) APIs enable connectivity both within and outside organizations, powering engaging customer experiences and breaking down data silos. The growth of APIs is fueling an "API economy" where businesses expose functionality through APIs to become platforms.
3) Leveraging APIs helps companies integrate systems, connect data and places, and enable new solutions and services, positioning them for success in the digital era where customers expect instant connectivity.
This document discusses APIs (application programming interfaces). It defines APIs and describes how they allow software components to communicate. It notes that APIs for web development typically involve HTTP requests and JSON/XML responses. The document discusses how APIs allow services to be combined into new applications ("mashups") and how websites providing APIs are becoming platforms for other programs. It also summarizes some critiques of APIs, such as limited access, changing interfaces over time, issues of control and access, and ethics around scraping data versus using APIs.
This document discusses the API economy and how organizations can participate. It defines the API economy as the ability to create new value and revenue streams through APIs. It provides examples of companies like Stripe that generate all revenue through APIs. It describes how APIs enable connectivity for many devices and services. The document advocates that organizations both consume APIs from others and contribute their own to fully participate in the API economy. It discusses how low-code platforms are making waves by enhancing programmability and connectivity.
The document discusses the Internet of Things (IoT) and the FIWARE program. It provides the following key points:
(1) FIWARE aims to build an open ecosystem that enables collaborative development of solutions to improve quality of life and increase productivity through IoT.
(2) FIWARE provides a public, open-source platform and tools to accelerate IoT innovation. It includes over 60 reusable components and open APIs.
(3) The FIWARE Lab serves as a meeting point for innovation, providing access to real IoT data from deployments in cities like Santander, Trento, and Malaga through standardized FIWARE APIs.
This presentation was given within the event "Trasparenza e dato pubblico: due asset strategici al servizio dell'interesse generale", organised by Polis Lombardia.
My intervention followed the first part of the "I dati pubblici in Lombardia e in Europa: una fonte rinnovabile di energia informativa" section. The first part was presented by MArco Panebianco of ARIA.
During my talk, I have briefly introduced the context and last results of the Joint Research Centre (JRC), European Commission, studies about Application Programming Interfaces (APIs) strategies and implementation in the public sector.
For more information about the API studies the JRC is conducting please consult: https://joinup.ec.europa.eu/collection/api4dt
Biometric authentication is one of the most popular and accurate technology. Now a days, it is used in many real time applications. However, recognizing finger prints in Linux based embedded computers (raspberry pi) is still a very complex problem. This entire work is done on the Linux based embedded computer called raspberry pi, in which database creation, fingerprint reader access, authentication and recognition using python were entirely done on raspberry pi This paper discusses on the standardized authentication model which is capable of extracting the finger prints of individual and store that in database . Then the use of final finger print to match with others in finger prints present in the database to show the capability of this model and also updating the database obtained to the organisation by creating an application through cloud. Pradeep Kumar M S | Dr. K. Suresh | Indumati T | Kishor kumar R"Smart Attendance System using Raspberry Pi" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-5 , August 2017, URL: http://www.ijtsrd.com/papers/ijtsrd2306.pdf http://www.ijtsrd.com/computer-science/bioinformatics/2306/smart-attendance-system-using-raspberry-pi/pradeep-kumar-m-s
Apidays Paris 2023 - The IoT, API, and AI Harmony, Saheed Abiola Lasisi, JPMo...apidays
Apidays Paris 2023 - Software and APIs for Smart, Sustainable and Sovereign Societies
December 6, 7 & 8, 2023
Ambient Intelligence for Smarter and Sustainable Societies: The IoT, API, and AI Harmony
Saheed Abiola Lasisi, Executive Director - Principal API Architect - JPMorgan Payments, JPMorgan Chase & Co.
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Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
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.
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Aggregage
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
Open Source Contributions to Postgres: The Basics POSETTE 2024ElizabethGarrettChri
Postgres is the most advanced open-source database in the world and it's supported by a community, not a single company. So how does this work? How does code actually get into Postgres? I recently had a patch submitted and committed and I want to share what I learned in that process. I’ll give you an overview of Postgres versions and how the underlying project codebase functions. I’ll also show you the process for submitting a patch and getting that tested and committed.
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."
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
EFITA 2015 - API-AGRO
1. API-AGRO: An Open Data
and Open API platform
EFITA 2015 Conference
June, 30th - Poznań
Théo-Paul HAEZEBROUCK - Mehdi SINÉ - Emeric EMONET
2. Qu’est-ce qu’une API ?
API-AGRO:Agricultural Technical Institutes Ecosystem
2
What Is an API?
API stands for Application Programming Interface.
Application : If you have a smartphone, you are well acquainted with what applications are, i.e., the
tools, games, social networks and other software that we use everyday.
Programming : Programming is how engineers create all the software that make our lives so much
easier.
Interface : An interface is a common boundary shared by two applications or programs that
allow both to communicate with one another.
So an API is essentially a way for programmers to communicate with a certain application.
Why it’s important?
• Allow access to a set of data
from an application
• Creating value by structuring ,
connecting and releasing data
• Provide opportunities for
partnerships to co- develop
innovative applications
EFITA 2015 Conference. 30th, June - Poznań
3. API-AGRO:Agricultural Technical Institutes Ecosystem
Multicriteria
evaluation
EDI Import
Tracabeality
Software
Exploitation system
Modeling
Environnement
assesment
Pesticides
API(s)
References databases
Varietes
API(s)
Soil
API(s)
Pests
API(s)
Indicators calculating functions
&
…Web interface
Decision
Support
System
FMIS
EFITA 2015 Conference. 30th, June - Poznań 3
8. API-AGRO: Security and Management
EFITA 2015 Conference. 30th, June - Poznań 8
Users and group permissions
9. API-AGRO: An ecosystem for Open Innovation
EFITA 2015 Conference. 30th, June - Poznań 9
FMIS
Editors
Agricultural
Technical Institutes
DSS Developers
Providers (seeds,
pesticides,
fertilizers,
machinery
manufacturer, etc.)
Start-ups
Research (INRA,
IRSTEA)
Agricultural
Organization
(Cooperatives,
Wholesalers,
Chamber or
Agriculture)
As an B2B2C model
10. http://www.api-agro.fr
Théo-Paul HAEZEBROUCK
Mail : theo-paul.haezebrouck@acta.asso.fr
Thank you for your attention.
“By 2016, 50% of B2B collaboration will take place
through Web APIs.”
Sources: Gartner, Predicts 2012:Application Development, 4Q, 2011;
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