Case Study: European Machine Learning Platform, by Stefanie Pichler, Solution Manager at A1 Digital.
VSSML18: 4th edition of the Valencian Summer School in Machine Learning.
Many automotive, high tech, and telecom business leaders are now competing in the IoT (Internet of Things) connected car market by providing and developing innovative products/services. For example, Toyota created new department to unify its connected car technologies. Verizon launched ThingSpace IoT platform to simplify the development and deployment of the IoT connected car applications. Samsung, partners with leaders across industries, is going to offer the connected car solution. Patent information can provide insights regarding the state of the art of the IoT innovations for the connected car applications such as Accident Avoidance System, Control Automation (e.g., Autonomous Vehicle), Infotainment, Maintenance/Diagnostic/Alert, and Navigation System and Vehicular Communication System (e.g., V2V, V2I, V2X using DSRC or LTE). Thus, one can identify the potential further innovation R&D areas (“white space”) that can lead to new products/services development through the patent analysis.
Chatbot & AI Conferences You Should Not Miss In Europe In 2019Onlim GmbH
Do you want to learn more about chatbots and artificial intelligence? Here are the chatbot and AI conferences that you should not miss in 2019!
Full article available here: https://onlim.com/en/european-chatbot-and-ai-conferences-2019/
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Onlim - Automating Customer Communication via Chatbots, Voice Assistants and Social Media.
www.onlim.com
Industry 4.0 refers to the trend of increasing connectivity and data exchange in manufacturing technologies. It involves connecting physical objects through sensors to collect and share data, enabling improvements in areas like quality, costs, and time to market. The document discusses Industry 4.0 concepts and Bosch's dual strategy to be a leading provider of Industry 4.0 solutions through external business, while also enabling internal digital transformation across its 250+ plants worldwide.
BigML and our expert partner on Fraud Detection, INFORM GmbH, jointly present how to detect fraud using a Hybrid AI strategy. The webinar showcases the RiskShield Machine Learning solution, a world-class risk assessment, fraud prevention, and Anti-Money Laundering (AML) compliance monitoring solution built on top of the BigML platform to protect any organization against financial crime.
Please visit the event page for more details: https://bigml.com/events/online-webinar-machine-learning-fights-financial-crime
Meetup 18/10/2018 - Artificiële intelligentie en mobiliteitDigipolis Antwerpen
ML6 is a machine learning consulting firm with over 70 years of combined experience. It has offices in Belgium, the Netherlands, and Germany. The document discusses ML6's expertise in areas like license plate recognition, traffic congestion prediction, and edge computing. It describes ML6's approach to these problems, which involves techniques like background subtraction, object detection, optical character recognition, and combining edge and cloud computing for analytics.
IDC España en los medios 4ª semana septiembreidcspain
This document summarizes IDC España's media presence from September 22-28, 2014. It lists appearances by IDC España analysts in Spanish media, articles mentioning IDC research in Spanish media, and internationally relevant articles from IDC research. The document provides an overview of IDC's visibility and influence in both Spanish and global media for that week.
Lynx presentation at the Legal Hackers' EMEA SummitLynx Project
The document summarizes the LYNX project which aims to build a legal knowledge graph of European legal and regulatory open data across languages and jurisdictions. It discusses using linked open data to provide smart compliance services for multinational companies operating in multiple European countries by semantically enriching legal documents and providing cross-lingual and multi-jurisdictional access to European law. It provides details on the project such as its goals, funding source and partners.
Towards a European Industrial Data Space: The Boost 4.0 InitiativeBoost40
This document discusses the potential of big data and Industry 4.0 for European manufacturing. Some key points:
- Big data could increase manufacturing GDP contribution by 15% and be worth $600 billion to industry.
- Production efficiency may improve 20% with big data, while failure to digitally transform could lose over 600 billion euros.
- However, only 3% of manufacturing data is tagged and analyzed, 15% use big data solutions, and 50% use data to drive decisions.
- The document outlines pillars for a European Industrial Data Space to help coordinate big data infrastructure, expertise, tools, and certification standards to support smart factories and digital transformation.
Many automotive, high tech, and telecom business leaders are now competing in the IoT (Internet of Things) connected car market by providing and developing innovative products/services. For example, Toyota created new department to unify its connected car technologies. Verizon launched ThingSpace IoT platform to simplify the development and deployment of the IoT connected car applications. Samsung, partners with leaders across industries, is going to offer the connected car solution. Patent information can provide insights regarding the state of the art of the IoT innovations for the connected car applications such as Accident Avoidance System, Control Automation (e.g., Autonomous Vehicle), Infotainment, Maintenance/Diagnostic/Alert, and Navigation System and Vehicular Communication System (e.g., V2V, V2I, V2X using DSRC or LTE). Thus, one can identify the potential further innovation R&D areas (“white space”) that can lead to new products/services development through the patent analysis.
Chatbot & AI Conferences You Should Not Miss In Europe In 2019Onlim GmbH
Do you want to learn more about chatbots and artificial intelligence? Here are the chatbot and AI conferences that you should not miss in 2019!
Full article available here: https://onlim.com/en/european-chatbot-and-ai-conferences-2019/
---
Onlim - Automating Customer Communication via Chatbots, Voice Assistants and Social Media.
www.onlim.com
Industry 4.0 refers to the trend of increasing connectivity and data exchange in manufacturing technologies. It involves connecting physical objects through sensors to collect and share data, enabling improvements in areas like quality, costs, and time to market. The document discusses Industry 4.0 concepts and Bosch's dual strategy to be a leading provider of Industry 4.0 solutions through external business, while also enabling internal digital transformation across its 250+ plants worldwide.
BigML and our expert partner on Fraud Detection, INFORM GmbH, jointly present how to detect fraud using a Hybrid AI strategy. The webinar showcases the RiskShield Machine Learning solution, a world-class risk assessment, fraud prevention, and Anti-Money Laundering (AML) compliance monitoring solution built on top of the BigML platform to protect any organization against financial crime.
Please visit the event page for more details: https://bigml.com/events/online-webinar-machine-learning-fights-financial-crime
Meetup 18/10/2018 - Artificiële intelligentie en mobiliteitDigipolis Antwerpen
ML6 is a machine learning consulting firm with over 70 years of combined experience. It has offices in Belgium, the Netherlands, and Germany. The document discusses ML6's expertise in areas like license plate recognition, traffic congestion prediction, and edge computing. It describes ML6's approach to these problems, which involves techniques like background subtraction, object detection, optical character recognition, and combining edge and cloud computing for analytics.
IDC España en los medios 4ª semana septiembreidcspain
This document summarizes IDC España's media presence from September 22-28, 2014. It lists appearances by IDC España analysts in Spanish media, articles mentioning IDC research in Spanish media, and internationally relevant articles from IDC research. The document provides an overview of IDC's visibility and influence in both Spanish and global media for that week.
Lynx presentation at the Legal Hackers' EMEA SummitLynx Project
The document summarizes the LYNX project which aims to build a legal knowledge graph of European legal and regulatory open data across languages and jurisdictions. It discusses using linked open data to provide smart compliance services for multinational companies operating in multiple European countries by semantically enriching legal documents and providing cross-lingual and multi-jurisdictional access to European law. It provides details on the project such as its goals, funding source and partners.
Towards a European Industrial Data Space: The Boost 4.0 InitiativeBoost40
This document discusses the potential of big data and Industry 4.0 for European manufacturing. Some key points:
- Big data could increase manufacturing GDP contribution by 15% and be worth $600 billion to industry.
- Production efficiency may improve 20% with big data, while failure to digitally transform could lose over 600 billion euros.
- However, only 3% of manufacturing data is tagged and analyzed, 15% use big data solutions, and 50% use data to drive decisions.
- The document outlines pillars for a European Industrial Data Space to help coordinate big data infrastructure, expertise, tools, and certification standards to support smart factories and digital transformation.
Introduction to privacy preserving synthetic dataStatice
This presentation takes a closer look at the concept of privacy-preserving synthetic data: what is synthetic data? what are the origin of synthetic data in the context of data privacy? How do you generate privacy-preserving synthetic data? what are the benefits for organizations?
The Industrial Data Space is a strategic initiative driven by industry and supported by the German Federal Government. It aims at supporting the secure exchange and easy combination of data within ecosystems.
Intelligent Mobility: Embedded Machine Learning, Damage Detection in RailBigML, Inc
BigML’s partner, A1 Digital, showcases in this presentation a specific use case on “Damage Detection in Rail with Embedded Machine Learning”.
Speaker: Dieter Myer, Senior Data Scientist and Machine Learning Consultant at A1 Digital.
*Intelligent Mobility 2021: Virtual Conference.
Decentralized and Distributed Systems as key enabler for digital transformationNebucom
This document discusses how decentralized and distributed systems are enabling digital transformation. It provides examples of how companies are developing application programming interfaces (APIs) to share functionality and data across systems in a distributed manner. Platform business models are also discussed as another example of digital transformation, with two-sided online platforms that match different parties through an automated process. Distributed technologies like blockchain could ensure trust in transactional systems between these distributed components.
FinTech and InsuranceTech case studies digitally transforming Europe's future with BigData and AI
The new data-driven industrial revolution highlights the need for big data technologies to unlock the potential in various application domains. The insurance and finance services industry is rapidly transformed by data-intensive operations and applications. FinTech and InsuranceTech combine very large datasets from legacy banking systems with other data sources such as financial markets data, regulatory datasets, real-time retail transactions, and more, improving financial services and activities for customers.
The document discusses how companies can gain a competitive advantage through artificial intelligence. It provides a brief history of AI and an overview of key concepts like machine learning, deep learning and neural networks. Examples are given of medical imaging using deep learning to detect tumors and predicting traffic congestion. The document advocates educating oneself on AI, finding simple applications to test it, and using available cloud services and APIs to get started. It emphasizes that data is important for training models and there are many opportunities but also challenges to developing self-learning systems.
IoT as a significant cross-sector technology,
driving developments forward
that require interoperable environments and platforms
Value chains
◎ 5G Internet of Things/Industrial Internet of Things (IoT/IIoT)
◎ Edge computing and Artificial Intelligence (AI) including at the edge
◎ Cloud infrastructures
This document summarizes information from an event on Horizon 2020 calls related to internet technologies, IoT, industry 4.0, and robotics. It discusses several upcoming calls within these areas, including calls focused on next generation internet, interactive technologies like AR/VR, artificial intelligence, the internet of things, future social media, multilingual internet technologies, digital manufacturing platforms, and robotics applications. For each call, it provides details on funding amounts, deadlines, expected project sizes, and technical topics that proposals should address. It also lists some top performers on past related calls and encourages attendees to take advantage of networking opportunities at an upcoming proposal information day in Budapest.
An overview of the ICARUS project provided during the European Big Data Value Forum, Parallel Session 1.3 “Transforming Transport”, on November 12th, 2018, in Vienna.
2018 12-10 apidays.io eric horesnyi streamdata.io event-driven ap isEric Horesnyi
This document discusses event-driven APIs and provides examples of companies using them. It begins with an overview of event-driven APIs and how they differ from traditional REST APIs. It then provides 10 examples of large companies using event-driven APIs at scale, listing key details about their API products like volume, revenue, use cases, topics, and messaging protocols. The document concludes by highlighting three event-driven technology stacks used by Salesforce, Xignite, and Talend.
Ingrid IHASZ: Hungarian digital & programmatic advertising market overview / ...Ingrid Ihasz
Hungarian digital & programmatic advertising overview covering digital ad spend data, ad market characteristics and challenges. Introduction to HOPPex (Hungarian OmniPublisher Programmatic Exchange), the Hungarian publisher alliance.
Building information modelling market 1किरण सोनवणे
This document summarizes a market research report on the building information modelling (BIM) market. It finds that the global BIM market is expected to grow at a lucrative compound annual growth rate and generate substantial income by 2023. The report also notes that growth in BIM deployment in the transportation industry for infrastructure upgrades and the use of smart BIM technologies are driving market growth. Additionally, the document outlines the major players in the BIM market and segments the market by end-user, industry, product, and project lifecycle.
ICARUS @EASN 2019 - Industry 4.0 in Aeronautics Session (September 2019, Athens)ICARUS2020.aero
A glimpse at the ICARUS aviation data and intelligent marketplace provided during the 9th EASN International Conference on Innovation in Aviation & Space, "Industry 4.0 in Aeronautics" Session, on September 3rd, 2019, in Athens
Smart cities market is broken. What does it take to make it work? This presentation describes open and shared ecosystems and city networks as tools for interoperability and portability of urban solutions.
The Continental Automated Buildings Association (CABA) is a non-profit organization focused on advancing home and building automation through knowledge sharing and research. Its vision is to be an authoritative forum on automation integration. Its goals include being recognized as a knowledge leader in the field, assisting members increase market opportunities, and developing strategic partnerships. CABA conducts research projects, endorses over 100 industry events annually, and provides its members with an online library and opportunities to connect through councils and forums.
A chamada Indústria 4.0 é uma das fronteiras da mudança tecnológica no mundo. A Alemanha é um dos países mais dinâmicos nesse processo. A própria expressão "Indústria 4.0" foi cunhada naquele país, onde ela representa, mais do que palavras, uma estratégia nacional. Para abordar os desafios que a Indústria 4.0 coloca para a Alemanha e também para o Brasil, a Fundação FHC recebe o chefe global de tecnologia e inovação da Siemens, Norbert Luetke-Entrup.
NORBERT LÜTKE-ENTRUP
Mestre e PhD em Física pela Universidade de Bonn (Alemanha) e pela Université Pierre et Marie Curie (Paris), é chefe do Departamento de Tecnologia Corporativa e Gestão da Inovação do Grupo Siemens. Atuou como consultor, líder de projeto e vice-presidente na sede da Siemens Management Consulting (SMC) em Munique, entre 2000 a 2008, e como vice-presidente administrativo do escritório da empresa em Pequim (China).
1) The document discusses trends in industry digitization and the 4th Industrial Revolution, including how 5G deployment is accelerating and enabling new opportunities like industrial internet, smart manufacturing, and AI applications.
2) Key technologies discussed include 5G, edge computing, heterogeneous computing architectures, and wireless connectivity solutions to enable flexible manufacturing and industries.
3) Use cases for 5G in manufacturing are presented, focusing on applications in machine vision, logistics automation, robotics, and predictive maintenance to improve production efficiency and reduce costs.
Introduction to privacy preserving synthetic dataStatice
This presentation takes a closer look at the concept of privacy-preserving synthetic data: what is synthetic data? what are the origin of synthetic data in the context of data privacy? How do you generate privacy-preserving synthetic data? what are the benefits for organizations?
The Industrial Data Space is a strategic initiative driven by industry and supported by the German Federal Government. It aims at supporting the secure exchange and easy combination of data within ecosystems.
Intelligent Mobility: Embedded Machine Learning, Damage Detection in RailBigML, Inc
BigML’s partner, A1 Digital, showcases in this presentation a specific use case on “Damage Detection in Rail with Embedded Machine Learning”.
Speaker: Dieter Myer, Senior Data Scientist and Machine Learning Consultant at A1 Digital.
*Intelligent Mobility 2021: Virtual Conference.
Decentralized and Distributed Systems as key enabler for digital transformationNebucom
This document discusses how decentralized and distributed systems are enabling digital transformation. It provides examples of how companies are developing application programming interfaces (APIs) to share functionality and data across systems in a distributed manner. Platform business models are also discussed as another example of digital transformation, with two-sided online platforms that match different parties through an automated process. Distributed technologies like blockchain could ensure trust in transactional systems between these distributed components.
FinTech and InsuranceTech case studies digitally transforming Europe's future with BigData and AI
The new data-driven industrial revolution highlights the need for big data technologies to unlock the potential in various application domains. The insurance and finance services industry is rapidly transformed by data-intensive operations and applications. FinTech and InsuranceTech combine very large datasets from legacy banking systems with other data sources such as financial markets data, regulatory datasets, real-time retail transactions, and more, improving financial services and activities for customers.
The document discusses how companies can gain a competitive advantage through artificial intelligence. It provides a brief history of AI and an overview of key concepts like machine learning, deep learning and neural networks. Examples are given of medical imaging using deep learning to detect tumors and predicting traffic congestion. The document advocates educating oneself on AI, finding simple applications to test it, and using available cloud services and APIs to get started. It emphasizes that data is important for training models and there are many opportunities but also challenges to developing self-learning systems.
IoT as a significant cross-sector technology,
driving developments forward
that require interoperable environments and platforms
Value chains
◎ 5G Internet of Things/Industrial Internet of Things (IoT/IIoT)
◎ Edge computing and Artificial Intelligence (AI) including at the edge
◎ Cloud infrastructures
This document summarizes information from an event on Horizon 2020 calls related to internet technologies, IoT, industry 4.0, and robotics. It discusses several upcoming calls within these areas, including calls focused on next generation internet, interactive technologies like AR/VR, artificial intelligence, the internet of things, future social media, multilingual internet technologies, digital manufacturing platforms, and robotics applications. For each call, it provides details on funding amounts, deadlines, expected project sizes, and technical topics that proposals should address. It also lists some top performers on past related calls and encourages attendees to take advantage of networking opportunities at an upcoming proposal information day in Budapest.
An overview of the ICARUS project provided during the European Big Data Value Forum, Parallel Session 1.3 “Transforming Transport”, on November 12th, 2018, in Vienna.
2018 12-10 apidays.io eric horesnyi streamdata.io event-driven ap isEric Horesnyi
This document discusses event-driven APIs and provides examples of companies using them. It begins with an overview of event-driven APIs and how they differ from traditional REST APIs. It then provides 10 examples of large companies using event-driven APIs at scale, listing key details about their API products like volume, revenue, use cases, topics, and messaging protocols. The document concludes by highlighting three event-driven technology stacks used by Salesforce, Xignite, and Talend.
Ingrid IHASZ: Hungarian digital & programmatic advertising market overview / ...Ingrid Ihasz
Hungarian digital & programmatic advertising overview covering digital ad spend data, ad market characteristics and challenges. Introduction to HOPPex (Hungarian OmniPublisher Programmatic Exchange), the Hungarian publisher alliance.
Building information modelling market 1किरण सोनवणे
This document summarizes a market research report on the building information modelling (BIM) market. It finds that the global BIM market is expected to grow at a lucrative compound annual growth rate and generate substantial income by 2023. The report also notes that growth in BIM deployment in the transportation industry for infrastructure upgrades and the use of smart BIM technologies are driving market growth. Additionally, the document outlines the major players in the BIM market and segments the market by end-user, industry, product, and project lifecycle.
ICARUS @EASN 2019 - Industry 4.0 in Aeronautics Session (September 2019, Athens)ICARUS2020.aero
A glimpse at the ICARUS aviation data and intelligent marketplace provided during the 9th EASN International Conference on Innovation in Aviation & Space, "Industry 4.0 in Aeronautics" Session, on September 3rd, 2019, in Athens
Smart cities market is broken. What does it take to make it work? This presentation describes open and shared ecosystems and city networks as tools for interoperability and portability of urban solutions.
The Continental Automated Buildings Association (CABA) is a non-profit organization focused on advancing home and building automation through knowledge sharing and research. Its vision is to be an authoritative forum on automation integration. Its goals include being recognized as a knowledge leader in the field, assisting members increase market opportunities, and developing strategic partnerships. CABA conducts research projects, endorses over 100 industry events annually, and provides its members with an online library and opportunities to connect through councils and forums.
A chamada Indústria 4.0 é uma das fronteiras da mudança tecnológica no mundo. A Alemanha é um dos países mais dinâmicos nesse processo. A própria expressão "Indústria 4.0" foi cunhada naquele país, onde ela representa, mais do que palavras, uma estratégia nacional. Para abordar os desafios que a Indústria 4.0 coloca para a Alemanha e também para o Brasil, a Fundação FHC recebe o chefe global de tecnologia e inovação da Siemens, Norbert Luetke-Entrup.
NORBERT LÜTKE-ENTRUP
Mestre e PhD em Física pela Universidade de Bonn (Alemanha) e pela Université Pierre et Marie Curie (Paris), é chefe do Departamento de Tecnologia Corporativa e Gestão da Inovação do Grupo Siemens. Atuou como consultor, líder de projeto e vice-presidente na sede da Siemens Management Consulting (SMC) em Munique, entre 2000 a 2008, e como vice-presidente administrativo do escritório da empresa em Pequim (China).
1) The document discusses trends in industry digitization and the 4th Industrial Revolution, including how 5G deployment is accelerating and enabling new opportunities like industrial internet, smart manufacturing, and AI applications.
2) Key technologies discussed include 5G, edge computing, heterogeneous computing architectures, and wireless connectivity solutions to enable flexible manufacturing and industries.
3) Use cases for 5G in manufacturing are presented, focusing on applications in machine vision, logistics automation, robotics, and predictive maintenance to improve production efficiency and reduce costs.
Bagsoft is an Egyptian software development company established in 2008. It has four software developers and pursues technologies including software development, RFID, beacons, and mobile applications. The company offers commercial ERP systems, school management systems, maintenance applications, ticketing and fleet management software, RFID applications, and beacon applications to various industry sectors in Egypt. Bagsoft proposes to introduce its RFID, beacon, ticketing/fleet management, and maintenance products to German companies, claiming they will improve productivity and quality while reducing costs compared to alternative options.
FIWARE Global Summit - Building the “AI Marketplace”FIWARE
Presentation by Ruslan Bernijazov
Research Associate, Fraunhofer-Institut für Entwurfstechnik Mechatronik IEM
FIWARE Global Summit
23-24 October 2019 - Berlin, Germany
This document provides an overview of digital business and the digital transformation. It discusses how digital technologies like the internet of things, big data, and 3D printing combined with digital trends are blurring the lines between the physical and digital worlds. This will create new opportunities for private and public sector enterprises to become digital businesses and pursue new business models. Regulations will need to adapt to enable new trends across industries like connected manufacturing, smart cities, autonomous vehicles, digital health, and more. The convergence of the physical and digital is creating a new era for digital business.
Industrial IoT: Connecting Existing Machines to Tomorrow's IoT, ft. Deutsche ...Amazon Web Services
The overwhelming majority of today’s industrial machines is not internet-ready. This is because many industrial machines lack connectivity or have proprietary or industry-specific interfaces. The value of these machines is in their access to data and metadata that can be used to unlock new business opportunities. In this session, we provide a detailed view into how to use AWS Greengrass and AWS Lambda to connect machines with industrial interfaces, such as OPC UA, Modbus, Ethernet/IP, and EuroMap63. We also walk you through a demonstration and show you how to connect to industrial machines and provide data and metadata at the edge and in the cloud.
E-commerce Berlin Expo 2018 - Fundamental eCommerce A.I. in FurnTechE-Commerce Berlin EXPO
The document discusses using AI in e-commerce, specifically for furniture retail. It outlines an agenda covering the status and use cases of AI in e-commerce, benefits and challenges, and how to implement AI. Key points include:
1. X24Factory is a furniture retailer that uses AI for product ranking, data management, and personalized recommendations to 2 million monthly users across 800 shops and 3.5 million products.
2. Popular AI uses in e-commerce include product and user ranking, pricing, search, image recognition, and chatbots. For marketplaces, AI helps with data quality, categorization, and shop ranking.
3. Benefits of AI include higher conversion rates through more relevant products
OT - How IoT will Impact Future B2B and Global Supply Chains - SS14Mark Morley, MBA
This presentation was originally given at an EDIFICE plenary in Brussels in May 2014. EDIFICE is a European based industry association driving B2B standards across the high tech industry. The presentation discussed digital disruption and how the Internet of Things is likely to impact future design of B2B platforms and global supply chains. - Updated March 2015
Miguel Angel Perdiguero - Head of BIG data & analytics Atos Iberia - semanain...COIICV
This document discusses Industry 4.0 and the digital transformation of industry. It describes key technological pillars like the Internet of Things, additive manufacturing, and data analytics. It provides examples of how these technologies can be applied through predictive maintenance and customized products. The document also introduces Atos Codex, an open industrial analytics platform that uses big data, high performance computing, and machine learning to deliver business insights and solutions.
Presentation on current status of the German ICT market. The slides provide data and statistics on trends and opportunities for domestic and foreign companies interested in doing business there.
Second part deals with possible strategies to enter the German market and what challenges are to be expected.
The slides are part of a lecture held at a technology and entrepreneurship conference in Belgrade, Serbia.
IoT services are becoming crucial for both automotive enterprises and consumers. As the automotive industry shifts from a product-centric to service-centric business model, the connected car will function as a platform for various services. However, security is the main challenge to overcome as vehicles become more connected. Standards must be developed to securely interface connected vehicles while maintaining privacy. This transition allows automakers to develop continuous customer relationships beyond the point of sale.
This document provides an overview and agenda for a webinar on the BIG IoT project and its second open call. It introduces the project coordinators and technical manager. The agenda includes presentations on the BIG IoT architecture and marketplace, and how to apply to the second open call. It summarizes the goals of the BIG IoT project to bridge interoperability gaps between IoT platforms and foster collaboration. It provides details on the open call timeline and budget, eligible applicants, and desired proposals in smart mobility and environmental monitoring domains.
There are about 16 million vending machines worldwide and many of the vending operators are now considering adding connectivity. Berg Insight forecasts that the number of connected vending machines worldwide will grow at a CAGR of 16.2 percent from 2.6 million units in 2017 to reach 5.4 million units by 2022. The penetration rate will then reach 32.2 percent at the end of the forecast period. Get up to date with the latest information about vendors, products and markets.
GE uses digital technologies like industrial IoT, 3D printing, and cloud-based platforms to transform its business and optimize operations. Caterpillar connects machines to collect data for predictive maintenance and minimize downtime. Disney collects customer data through its MyMagic+ program to create personalized experiences. A survey found that CEOs prioritize revenue growth through strategic partnerships and view data analytics and disruptive business models as opportunities.
Current state of industrial IoT / Industrie 4.0 markets - IoT Tech ExpoKnud Lasse Lueth
This document provides an overview of the current state of Industrial IoT/Industrie 4.0 markets based on a presentation given in June 2017. It finds that while connected industry projects make up around 22% of IoT projects, the industry is still immature with no standard architecture and a lack of data science skills. Predictive maintenance is identified as the use case with the largest market opportunity by 2025. Barriers to growth include a lack of interoperability standards and data science skills.
Gartner CIO & IT Executive Summit -- Event Mesh: The Architecture Layer That ...Solace
Crispin Clarke, SVP Europe at Solace and Martin Bachmann, Head of Product Management, Connected Cores SAP SE, presented at Gartner CIO & IT Executive Summit 2019 in Munich.
Similar to VSSML18. European Machine Learning Platform (20)
Digital Transformation and Process Optimization in ManufacturingBigML, Inc
Keyanoush Razavidinani, Digital Services Consultant at A1 Digital, a BigML Partner, highlights why it is important to identify and reduce human bottlenecks that optimize processes and let you focus on important activities. Additionally, Guillem Vidal, Machine Learning Engineer at BigML completes the session by showcasing how Machine Learning is put to use in the manufacturing industry with a use case to detect factory failures.
The Road to Production: Automating your Anomaly Detectors - by jao (Jose A. Ortega), Co-Founder and Chief Technology Officer at BigML.
*Machine Learning School in The Netherlands 2022.
DutchMLSchool 2022 - ML for AML ComplianceBigML, Inc
Machine Learning for Anti Money Laundering Compliance, by Kevin Nagel, Consultant and Data Scientist at INFORM.
*Machine Learning School in The Netherlands 2022.
DutchMLSchool 2022 - Multi Perspective AnomaliesBigML, Inc
Multi Perspective Anomalies, by Jan W Veldsink, Master in the art of AI at Nyenrode, Rabobank, and Grio.
*Machine Learning School in The Netherlands 2022.
DutchMLSchool 2022 - My First Anomaly Detector BigML, Inc
The document discusses building an anomaly detector model to identify unusual transactions in a dataset. It describes loading transaction data with 31 features into the BigML platform and creating an anomaly detector model. The model scores new data and identifies the most anomalous fields to help detect fraud. Creating the anomaly detector involves interpreting the data, exploring the dataset distribution, and setting a threshold score to define what is considered anomalous.
DutchMLSchool 2022 - History and Developments in MLBigML, Inc
History and Present Developments in Machine Learning, by Tom Dietterich, Emeritus Professor of computer science at Oregon State University and Chief Scientist at BigML.
*Machine Learning School in The Netherlands 2022.
Introduction to End-to-End Machine Learning: Classification and Regression - Mercè Martín, VP of Bindings and Applications at BigML.
*Machine Learning School in The Netherlands 2022.
DutchMLSchool 2022 - A Data-Driven CompanyBigML, Inc
A Data-Driven Company: 21 Lessons for Large Organizations to Create Value from AI, by Richard Benjamins, Chief AI and Data Strategist at Telefónica.
*Machine Learning School in The Netherlands 2022.
DutchMLSchool 2022 - ML in the Legal SectorBigML, Inc
How Machine Learning Transforms and Automates Legal Services, by Arnoud Engelfriet, Co-Founder at Lynn Legal.
*Machine Learning School in The Netherlands 2022.
This document describes a proposed solution using machine learning and artificial intelligence to help create a safer stadium experience. The solution involves two parts: 1) linking access to stadiums to a verified identity through a fan app for preregistration, and 2) using AI/ML to help detect unwanted behaviors or events early. The rest of the document provides more details on the proposed smart video review framework, including using computer vision and audio analysis techniques to help identify issues like flares, flags, banners, chants including monkey chants. The goal is to help reviewers more efficiently identify potential problems but with privacy, ethics and human oversight.
DutchMLSchool 2022 - Process Optimization in Manufacturing PlantsBigML, Inc
Process Optimization in Manufacturing Plants, by Keyanoush Razavidinani, Digital Business Consultant at A1 Digital.
*Machine Learning School in The Netherlands 2022.
DutchMLSchool 2022 - Anomaly Detection at ScaleBigML, Inc
Lessons Learned Applying Anomaly Detection at Scale, by Álvaro Clemente, Machine Learning Engineer at BigML.
*Machine Learning School in The Netherlands 2022.
DutchMLSchool 2022 - Citizen Development in AIBigML, Inc
The document discusses the need for citizen developers and humans in the AI/ML process. It notes that while technology and talent are important, company culture must also support broad data analytics and AI/ML adoption. It then provides examples of how involving domain experts can help attribute meaning to correlations and build better causal models to improve AI systems. The document advocates for a systems thinking approach and having humans in the loop to help AI/ML systems consider the wider context and avoid issues like bias.
This new feature is a continuation of and improvement on our previous Image Processing release. Now, Object Detection lets you go a step further with your image data and allows you to locate objects and annotate regions in your images. Once your image regions are defined, you can train and evaluate Object Detection models, make predictions with them, and automate end-to-end Machine Learning workflows on a single platform. To make that possible, BigML enables Object Detection by introducing the regions optype.
As with any other BigML feature, Object Detection is available from the BigML Dashboard, API, and WhizzML for automation. Object Detection is extremely helpful to tackle a wide range of computer vision use cases such as medical image analysis, quality control in manufacturing, license plate recognition in transportation, people detection in security surveillance, among many others.
This new release brings Image Processing to the BigML platform, a feature that enhances our offering to solve image data-driven business problems with remarkable ease of use. Because BigML treats images as any other data type, this unique implementation allows you to easily use image data alongside text, categorical, numeric, date-time, and items data types as input to create any Machine Learning model available in our platform, both supervised and unsupervised.
Now, it is easier than ever to solve a wide variety of computer vision and image classification use cases in a single platform: label your image data, train and evaluate your models, make predictions, and automate your end-to-end Machine Learning workflows. As with any other BigML feature, Image Processing is available from the BigML Dashboard, API, and WhizzML, and it can be applied to solve use cases such as medical image analysis, visual product search, security surveillance, and vehicle damage detection, among others.
Machine Learning in Retail: Know Your Customers' Customer. See Your FutureBigML, Inc
This session presents a quite common situation for those working in food and beverage retail (FnB) and highlights interesting insights to fight waste reduction.
Speaker: Stephen Kinns, CEO and Co-Founder at catsAi.
*ML in Retail 2021: Webinar.
Machine Learning in Retail: ML in the Retail SectorBigML, Inc
This is an introductory session about the role that Machine Learning is playing in the retail sector and how it is being deployed across the different areas of this industry.
Speaker: Atakan Cetinsoy, VP of Predictive Applications at BigML.
*ML in Retail 2021: Webinar.
ML in GRC: Machine Learning in Legal Automation, How to Trust a LawyerbotBigML, Inc
This presentation analyzes the role that Machine Learning plays in legal automation with a real-world Machine Learning application.
Speaker: Arnoud Engelfriet, Co-Founder at Lynn Legal.
*ML in GRC 2021: Virtual Conference.
ML in GRC: Supporting Human Decision Making for Regulatory Adherence with Mac...BigML, Inc
This is a real-life Machine Learning use case about integrated risk.
Speakers: Thomas Rengersen, Product Owner of the Governance Risk and Compliance Tool for Rabobank, and Thomas Alderse Baas, Co-Founder and Director of The Bowmen Group.
*ML in GRC 2021: Virtual Conference.
State of Artificial intelligence Report 2023kuntobimo2016
Artificial intelligence (AI) is a multidisciplinary field of science and engineering whose goal is to create intelligent machines.
We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence.
The State of AI Report is now in its sixth year. Consider this report as a compilation of the most interesting things we’ve seen with a goal of triggering an informed conversation about the state of AI and its implication for the future.
We consider the following key dimensions in our report:
Research: Technology breakthroughs and their capabilities.
Industry: Areas of commercial application for AI and its business impact.
Politics: Regulation of AI, its economic implications and the evolving geopolitics of AI.
Safety: Identifying and mitigating catastrophic risks that highly-capable future AI systems could pose to us.
Predictions: What we believe will happen in the next 12 months and a 2022 performance review to keep us honest.
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
Predictably Improve Your B2B Tech Company's Performance by Leveraging DataKiwi Creative
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!).
From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
- - -
This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/
Natural Language Processing (NLP), RAG and its applications .pptxfkyes25
1. In the realm of Natural Language Processing (NLP), knowledge-intensive tasks such as question answering, fact verification, and open-domain dialogue generation require the integration of vast and up-to-date information. Traditional neural models, though powerful, struggle with encoding all necessary knowledge within their parameters, leading to limitations in generalization and scalability. The paper "Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks" introduces RAG (Retrieval-Augmented Generation), a novel framework that synergizes retrieval mechanisms with generative models, enhancing performance by dynamically incorporating external knowledge during inference.
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.
End-to-end pipeline agility - Berlin Buzzwords 2024Lars Albertsson
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
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."
3. BigML, Inc VSSML18: European Machine Learning Platform 3
Internet Of Things
…an industry specific network of diverse Things
sensing & analyzing data
Internet of Things
Asset tracking
Corporate car sharing
Industrial Automation &
Remote Maintenance
Connected productsSmart Metering & Energy
efficiency
Fleet Management
4. BigML, Inc VSSML18: European Machine Learning Platform 4
IoT Data
…is distributed and so will be the underlying analytical models
5. BigML, Inc VSSML18: European Machine Learning Platform 4
IoT Data
…is distributed and so will be the underlying analytical models
1.2M Customers
A1 Digital IoT Platform Dashboard
Support, QA
Marketing, BIEdge device
Sales
Notifications
Application
Backend
Device
Management
Connectivity
End customer
EDGE PLATFORM ENTERPRISE
Manufacturing
6. BigML, Inc VSSML18: European Machine Learning Platform 4
IoT Data
…is distributed and so will be the underlying analytical models
1.2M Customers
A1 Digital IoT Platform Dashboard
Support, QA
Marketing, BIEdge device
Sales
Notifications
Application
Backend
Device
Management
Connectivity
End customer
EDGE PLATFORM ENTERPRISE
Manufacturing
ML analytical models
7. BigML, Inc VSSML18: European Machine Learning Platform 5
Our beliefs and core assumptions
•ML will be driven by Radical Simplification of AI
Tools and Platforms
•ML will be integrated in data related routines
•Will fulfill strong demand for Data Centric
Applications in every enterprise
! We need to focus on democratization of ML
…SOMEONE WILL FIGURE OUT
HOW TO MAKE MACHINE
LEARNING AS DEMOCRATIC AS
SPREADSHEETS DID FOR MATRIX
MATHEMATICS…
BOB WILLIAMSON
8. BigML, Inc VSSML18: European Machine Learning Platform 6
Perfect symbioses
European Data Analytics Platform
•Digital Transformation Services
•IoT solutions provider
•Owner of
- European Cloud Provider
(highly performant, secure, flexible)
•Team of ML experts
•State-of-the-arte ML platform (auto-
scalable, auto-deployable)
•ML for everyone
•Open API
9. BigML, Inc VSSML18: European Machine Learning Platform 7
European Data Analytics Platform
Cloud based in
Europe
Platform as a service
Customized Analytical
Applications
Predictive
Maintenance
Resource OptimizationUtilization Forecasting Event & Alarm
prediction
powered by
Machine Learning
Platform
Compute
Object
Storage
GPU
Servers