Ken Johnson of Red Hat discusses how Red Hat supports the Internet of Things (IoT) through open source solutions. Red Hat participates in upstream open source projects, integrates those projects into community platforms, and commercializes supported products and solutions. Red Hat helps enterprises collect, communicate, transform, store and act on data from IoT devices through open source solutions that provide enterprise-level security, reliability and scalability while avoiding proprietary lock-in.
BizInt Solutions, Inc. is a small software company based in Seattle. We develop, market and support the BizInt Smart Charts software products, which help information specialists create, customize and distribute tabular reports from the leading patent and drug pipeline databases. Our customers include pharmaceutical, biotech, chemical, petroleum, and device manufacturing companies in North America, Europe, and Japan.
IC-SDV 2018: Stefan Geißler (Expert System) Navigating to new shores: the Bio...Dr. Haxel Consult
We present the latest developments around the Biopharma Navigator, a consolidated large search, analysis and reporting application for tens of millions of biomedical documents. In its latest version the application has expanded to include yet more document sources, is offering real-time data-driven dashboards, an enhanced API that facilitates integration into third-party environments, advances in expert identification, the extension of the pharmacovigilance approach to new sources from news and social media as well as live extension of drug name repositories and clinical trial monitoring.
The Biopharma Navigator is used by a growing number of experts in the industry for their daily analyses and can be employed either on a simple subscription basis or with an on-premise installation. The Biopharma Navigator is our answer for the question how big data, cognitive computing analysis and intuitive webfrontends can be combined to provide broad and up-to-date information access to Life Science professionals.
Business context of FAIR health data networks - The Hyve - MEDINFO Lyon 2019Kees van Bochove
MedInfo Lyon 2019: FAIR Health Data Sharing Initiatives in Europe: Opportunities and Challenges for international cooperation (Ulli Prokosch, Thomas Ganslandt, Ulrich Sax, Christian Lovis, Carlos Luis Parra Calderón, Peter Rijnbeek, Nigel Hughes, Wiro Niessen, Barend Mons, Kees Van Bochove)
In the data-driven age of medical research many initiatives and projects focus on data linkage and functional integration as well as data reuse. Providing “FAIR data” is a common challenge for all of them. For this workshop leaders of six nation-wide and European initiatives/projects have joined in order to identify the major concepts, challenges and hurdles.
This presentation was used to provide the business context of FAIR data in health data networks.
How 2019 became the year FAIR landed in biopharmaceutical R&DKees van Bochove
At the Pharma IT 2019 conference in London, Kees van Bochove, Founder of The Hyve gave a talk on how 2019 became the year in which many biopharmaceutical companies have operational programs to make data FAIR across the enterprise.
2019-10-11 The value of FAIR data in health data networks - The Hyve - ELIXIR...Kees van Bochove
This presentation at the ELIXIR SME Innovation meeting on Personal Health Train and the distributed analysis of health data covered the value of data in health data networks. Slides attached for reference purposes.
#ELIXIR #SME #PHT #personalhealthtrain #healthdata
Deep SEARCH 9 is Data Analysis for the Web.
Combined indexing and search of structured and unstructured sources from the Surface Web, the Deep Web and the Dark Web and corporate data ensure that employees in every part of the organization have access to the information they need without having to use public search engines.
A powerful Application Builder for creating 360° information applications to bring information and analytics together and deliver them to users in a new SEARCH experience.
Advanced content analytics to aggregate, analyze and visualize unstructured (natural language) content to reveal hidden insights and patterns.
Deep SEARCH 9 is the only Web scale analytic search solution that offers corporations a proprietary and anonymous search solution by combining web crawling, content analytics, data linking and search.
Fair webinar, Ted slater: progress towards commercial fair data products and ...Pistoia Alliance
Elsevier is a global information analytics business that helps institutions and professional’s
advance healthcare and open science to improve performance for the benefit of humanity.
In this webinar, we discuss how Elsevier is increasingly leveraging the FAIR Guiding Principles to improve its products and services to better serve the scientific community.
Biased Information Retrieval in Pharmaceutical Drug DevelopmentDr. Haxel Consult
Pharmaceutical companies are highly dependent on access to high quality information retrieval. Insufficient gathering and selection of scientific information could potentially impact corporate decision-making in a wrong direction.
To assess the value of external information retrieval services a number of third party information providers were contacted with two information research requests (within inflammatory diseases). The providers were asked to return with search results and search methodologies used. In the first search the interaction with the providers were kept at a minimal level, whereas in the second search the contact, direction, and interaction were increased.
It is concluded that information research results from different providers are variable. The expected increase in inter-homogeneity of results from the different providers could not be confirmed after the second search. The overall overlap of results was 38% for the first search and 33% for the second search, and surprisingly none of the references were found by all providers.
To fully cover the area of interest and to avoid bias it is recommended to perform exhaustive scientific literature searches. Researchers and decision-makers should accept large amounts of results from literature searches and promote initiatives to analyse these results in detail.
Enriching Content with Semantic Tagging
K. Krishna (Molecular Connections (India))
Jignesh Bhate (Molecular Connections, India)
In spite of rapid transformation of publishing landscape brought about by digital technologies, content remains the focal point for publishers as well as consumers. Content deluge has increasingly made it challenging for consumers to discover and analyze relevant content. Approaches like semantic tagging provide an effective solution to this burgeoning problem.
Semantic tagging facilitates enhanced knowledge discovery and management, automated categorization of content, improved web navigation, easier integration of new knowledge in existing content and better exchange of information across diverse services.
In this talk, we will discuss about various content enrichment methodologies and share some insights from application of our in-house semantic tagging platform for enriching content of publishers.
The OntoChem IT Solutions GmbH ...
... was founded in 2015 as a purely IT-oriented offshoot of the OntoChem GmbH. Even before we had many years of experience and it has always been our mission to provide added value to our customers by helping them to navigate today’s complex information world by developing cognitive computing solutions, indexing intranet and internet data and applying semantic search solutions for pharmaceutical, material sciences and technology driven businesses.
We strive to support our customers with the most useful tools for knowledge discovery possible, encompassing up-to-date data sources, optimized ontologies and high-throughput semantic document processing and annotation techniques.
We create new knowledge from structured and unstructured data by extracting relationships thereby exploiting the full potential of full-text documents & databases while also scanning social media, news flows and analyzing web-pages.
We aim at an unprecedented, machine understanding of text and subsequent knowledge extraction and inference. The application of our methods towards chemical compounds and their properties supports our customers in generating intellectual property and their use as novel therapeutics, agrochemical products, nutraceuticals, cosmetics and in the field of novel materials.
It's our mission to provide added value to customers by:
developing and applying cognitive computing solutions
creating intranet and internet data indexing and semantic search solutions
Big Data analytics for technology driven businesses
supporting product development and surveillance.
We deliver useful tools for knowledge discovery for:
creating background knowledge ontologies
high-throughput semantic document processing and annotation
knowledge mining by extracting relationships
exploiting the full potential of full-text documents & databases while also scanning social media, news flows and analyzing web-pages.
ICIC 2017: Technology Scouting: Decision Support in Strategic Analyses for Te...Dr. Haxel Consult
Stefan Geißler (Expert System Deutschland, Germany)
Tim Schloen (Fraunhofer IAO Stuttgart, Germany)
Trying to keep up to date with developments, trends and opportunities even in narrow domains involves digesting and considering large amounts of textual information and often is beyond the reading capabilities of human experts. Large organisations may be able to cope with this challenge with dedicated analysis teams, but SMEs are overcharge with this information load.
Under the label „Technology Scouting“ we present an approach to employ modern semantic technologies and artificial intelligence to (semi) automate the collection, analysis and reporting of large document collections in a way that allows to derive important insights for technology-driven companies: Which technologies and markets are emerging or moving, how do my clients, partners and competitors operate?
After an introduction to the technological and methodological basis, we present experiences from past industry engagements where this aproach has be applied in production.
ICIC 2013 Conference Proceedings Richard Garner (LexisNexis)Dr. Haxel Consult
Are there any frontiers left in patent data?
Richard Garner (LexisNexis, UK)
As we have gradually tackled the major challenges in patent data gathering over the past years, the question is: what is the next frontier? Are there any important countries left to be integrated? After translating Chinese, Japanese and Korean patent data in Full text and continuously on the frontfiles, is Asian Patent data ‘unlocked’?
And then after that? Where is the next frontier?
In this presentation we will present our vision on what data will impact patent research in the future and which technological or data developments have the most impact on the possibilities we have in the near and distant future.
PA webinar on benefits & costs of FAIR implementation in life sciences Pistoia Alliance
The slides from the Pistoia Alliance Debates Webinar where a panel of experts from technology support providers and the biopharma industry, who have been invited to share their views on the "Benefits and costs of FAIR Implementation for life science industry".
e-SIDES workshop at EBDVF 2018, Vienna 14/11/2018 e-SIDES.eu
The following presentation was given at the workshop "From data protection and privacy to fairness and trust: the way forward" co-organized by e-SIDES at EBDVF 2018 in Vienna on November 14, 2018. The workshop, chaired by Jean-Cristophe Pazzaglia (SAP - BDVe) and Richard Stevens (IDC - e-SIDES), included a panel discussion with representatives from PAPAYA, SPECIAL and My Health My Data projects.
BizInt Solutions, Inc. is a small software company based in Seattle. We develop, market and support the BizInt Smart Charts software products, which help information specialists create, customize and distribute tabular reports from the leading patent and drug pipeline databases. Our customers include pharmaceutical, biotech, chemical, petroleum, and device manufacturing companies in North America, Europe, and Japan.
IC-SDV 2018: Stefan Geißler (Expert System) Navigating to new shores: the Bio...Dr. Haxel Consult
We present the latest developments around the Biopharma Navigator, a consolidated large search, analysis and reporting application for tens of millions of biomedical documents. In its latest version the application has expanded to include yet more document sources, is offering real-time data-driven dashboards, an enhanced API that facilitates integration into third-party environments, advances in expert identification, the extension of the pharmacovigilance approach to new sources from news and social media as well as live extension of drug name repositories and clinical trial monitoring.
The Biopharma Navigator is used by a growing number of experts in the industry for their daily analyses and can be employed either on a simple subscription basis or with an on-premise installation. The Biopharma Navigator is our answer for the question how big data, cognitive computing analysis and intuitive webfrontends can be combined to provide broad and up-to-date information access to Life Science professionals.
Business context of FAIR health data networks - The Hyve - MEDINFO Lyon 2019Kees van Bochove
MedInfo Lyon 2019: FAIR Health Data Sharing Initiatives in Europe: Opportunities and Challenges for international cooperation (Ulli Prokosch, Thomas Ganslandt, Ulrich Sax, Christian Lovis, Carlos Luis Parra Calderón, Peter Rijnbeek, Nigel Hughes, Wiro Niessen, Barend Mons, Kees Van Bochove)
In the data-driven age of medical research many initiatives and projects focus on data linkage and functional integration as well as data reuse. Providing “FAIR data” is a common challenge for all of them. For this workshop leaders of six nation-wide and European initiatives/projects have joined in order to identify the major concepts, challenges and hurdles.
This presentation was used to provide the business context of FAIR data in health data networks.
How 2019 became the year FAIR landed in biopharmaceutical R&DKees van Bochove
At the Pharma IT 2019 conference in London, Kees van Bochove, Founder of The Hyve gave a talk on how 2019 became the year in which many biopharmaceutical companies have operational programs to make data FAIR across the enterprise.
2019-10-11 The value of FAIR data in health data networks - The Hyve - ELIXIR...Kees van Bochove
This presentation at the ELIXIR SME Innovation meeting on Personal Health Train and the distributed analysis of health data covered the value of data in health data networks. Slides attached for reference purposes.
#ELIXIR #SME #PHT #personalhealthtrain #healthdata
Deep SEARCH 9 is Data Analysis for the Web.
Combined indexing and search of structured and unstructured sources from the Surface Web, the Deep Web and the Dark Web and corporate data ensure that employees in every part of the organization have access to the information they need without having to use public search engines.
A powerful Application Builder for creating 360° information applications to bring information and analytics together and deliver them to users in a new SEARCH experience.
Advanced content analytics to aggregate, analyze and visualize unstructured (natural language) content to reveal hidden insights and patterns.
Deep SEARCH 9 is the only Web scale analytic search solution that offers corporations a proprietary and anonymous search solution by combining web crawling, content analytics, data linking and search.
Fair webinar, Ted slater: progress towards commercial fair data products and ...Pistoia Alliance
Elsevier is a global information analytics business that helps institutions and professional’s
advance healthcare and open science to improve performance for the benefit of humanity.
In this webinar, we discuss how Elsevier is increasingly leveraging the FAIR Guiding Principles to improve its products and services to better serve the scientific community.
Biased Information Retrieval in Pharmaceutical Drug DevelopmentDr. Haxel Consult
Pharmaceutical companies are highly dependent on access to high quality information retrieval. Insufficient gathering and selection of scientific information could potentially impact corporate decision-making in a wrong direction.
To assess the value of external information retrieval services a number of third party information providers were contacted with two information research requests (within inflammatory diseases). The providers were asked to return with search results and search methodologies used. In the first search the interaction with the providers were kept at a minimal level, whereas in the second search the contact, direction, and interaction were increased.
It is concluded that information research results from different providers are variable. The expected increase in inter-homogeneity of results from the different providers could not be confirmed after the second search. The overall overlap of results was 38% for the first search and 33% for the second search, and surprisingly none of the references were found by all providers.
To fully cover the area of interest and to avoid bias it is recommended to perform exhaustive scientific literature searches. Researchers and decision-makers should accept large amounts of results from literature searches and promote initiatives to analyse these results in detail.
Enriching Content with Semantic Tagging
K. Krishna (Molecular Connections (India))
Jignesh Bhate (Molecular Connections, India)
In spite of rapid transformation of publishing landscape brought about by digital technologies, content remains the focal point for publishers as well as consumers. Content deluge has increasingly made it challenging for consumers to discover and analyze relevant content. Approaches like semantic tagging provide an effective solution to this burgeoning problem.
Semantic tagging facilitates enhanced knowledge discovery and management, automated categorization of content, improved web navigation, easier integration of new knowledge in existing content and better exchange of information across diverse services.
In this talk, we will discuss about various content enrichment methodologies and share some insights from application of our in-house semantic tagging platform for enriching content of publishers.
The OntoChem IT Solutions GmbH ...
... was founded in 2015 as a purely IT-oriented offshoot of the OntoChem GmbH. Even before we had many years of experience and it has always been our mission to provide added value to our customers by helping them to navigate today’s complex information world by developing cognitive computing solutions, indexing intranet and internet data and applying semantic search solutions for pharmaceutical, material sciences and technology driven businesses.
We strive to support our customers with the most useful tools for knowledge discovery possible, encompassing up-to-date data sources, optimized ontologies and high-throughput semantic document processing and annotation techniques.
We create new knowledge from structured and unstructured data by extracting relationships thereby exploiting the full potential of full-text documents & databases while also scanning social media, news flows and analyzing web-pages.
We aim at an unprecedented, machine understanding of text and subsequent knowledge extraction and inference. The application of our methods towards chemical compounds and their properties supports our customers in generating intellectual property and their use as novel therapeutics, agrochemical products, nutraceuticals, cosmetics and in the field of novel materials.
It's our mission to provide added value to customers by:
developing and applying cognitive computing solutions
creating intranet and internet data indexing and semantic search solutions
Big Data analytics for technology driven businesses
supporting product development and surveillance.
We deliver useful tools for knowledge discovery for:
creating background knowledge ontologies
high-throughput semantic document processing and annotation
knowledge mining by extracting relationships
exploiting the full potential of full-text documents & databases while also scanning social media, news flows and analyzing web-pages.
ICIC 2017: Technology Scouting: Decision Support in Strategic Analyses for Te...Dr. Haxel Consult
Stefan Geißler (Expert System Deutschland, Germany)
Tim Schloen (Fraunhofer IAO Stuttgart, Germany)
Trying to keep up to date with developments, trends and opportunities even in narrow domains involves digesting and considering large amounts of textual information and often is beyond the reading capabilities of human experts. Large organisations may be able to cope with this challenge with dedicated analysis teams, but SMEs are overcharge with this information load.
Under the label „Technology Scouting“ we present an approach to employ modern semantic technologies and artificial intelligence to (semi) automate the collection, analysis and reporting of large document collections in a way that allows to derive important insights for technology-driven companies: Which technologies and markets are emerging or moving, how do my clients, partners and competitors operate?
After an introduction to the technological and methodological basis, we present experiences from past industry engagements where this aproach has be applied in production.
ICIC 2013 Conference Proceedings Richard Garner (LexisNexis)Dr. Haxel Consult
Are there any frontiers left in patent data?
Richard Garner (LexisNexis, UK)
As we have gradually tackled the major challenges in patent data gathering over the past years, the question is: what is the next frontier? Are there any important countries left to be integrated? After translating Chinese, Japanese and Korean patent data in Full text and continuously on the frontfiles, is Asian Patent data ‘unlocked’?
And then after that? Where is the next frontier?
In this presentation we will present our vision on what data will impact patent research in the future and which technological or data developments have the most impact on the possibilities we have in the near and distant future.
PA webinar on benefits & costs of FAIR implementation in life sciences Pistoia Alliance
The slides from the Pistoia Alliance Debates Webinar where a panel of experts from technology support providers and the biopharma industry, who have been invited to share their views on the "Benefits and costs of FAIR Implementation for life science industry".
e-SIDES workshop at EBDVF 2018, Vienna 14/11/2018 e-SIDES.eu
The following presentation was given at the workshop "From data protection and privacy to fairness and trust: the way forward" co-organized by e-SIDES at EBDVF 2018 in Vienna on November 14, 2018. The workshop, chaired by Jean-Cristophe Pazzaglia (SAP - BDVe) and Richard Stevens (IDC - e-SIDES), included a panel discussion with representatives from PAPAYA, SPECIAL and My Health My Data projects.
HIPAA compliance for Business Associates- The value of compliance, how to acq...Compliancy Group
HIPAA compliance for Business Associates has become critical as you deal with medical professionals. During this webinar we will explain the law and what Business Associates need to know and do and how to differentiate your firm to acquire new and maintain current clients.
In this webinar, we will discuss:
-The steps on how to become HIPAA compliant as a Business Associate
-What an effective BAA should include
-How to help existing and new healthcare clients with compliance
-Why it is important to differentiate yourself as HIPAA compliant
How to remove disable and cancel shipment functionality in enter purchase or...Ahmed Elshayeb
How To Remove Disable Cancel Shipment Functionality In Enter Purchase Order and Purchase Order Summary Forms
منع المستخدم من إستخدام إمكانية إلغاء شحنة علي أمر توريد تم الإستلام عليها من علي شاشة ملخص أوامر الشراء ومن شاشة إدخال أوامر التوريد
Intel and Cloudera: Accelerating Enterprise Big Data SuccessCloudera, Inc.
The data center has gone through several inflection points in the past decades: adoption of Linux, migration from physical infrastructure to virtualization and Cloud, and now large-scale data analytics with Big Data and Hadoop.
Please join us to learn about how Cloudera and Intel are jointly innovating through open source software to enable Hadoop to run best on IA (Intel Architecture) and to foster the evolution of a vibrant Big Data ecosystem.
Business critical systems—off-the-shelf systems, custom-built applications, or software-as-a-service—consist of many logical end points. However, they are all common in exposing a set of inputs and a set of outputs. They also produce and consume data of different forms, custom binary or a standard format like XML, EDI, JSON, and so on. This data needs to follow a particular protocol—TCP/IP, HTTP, or FTP—in order to ensure seamless communication between different end points.
Integration is a buzzword we hear all the time, but what does it really mean? Essentially, integration is the act of allowing these different end points to work together in meaningful ways to accomplish business value. IBM IIB version 10 provides a significant leap forward from version 9 and provides key enhancements in terms of experience as well as capabilities. Join us to see the difference and learn how it may serve you in your Digital Transformation journey.
How We Do DevOps at Walmart: OneOps OSS Application Lifecycle Management Plat...WalmartLabs
Recently, Dr. Qingsong Zhang spoke at a Meetup about how Walmart is using DevOps.
Within this slide deck, you'll learn about our DataOps, DevOps and OneOps, an application lifecycle management (ALM), and open source DevOps platform for cloud which was developed by Walmart Labs.
Feel free to follow us on Twitter: @one_ops!
Contribute to One_Ops: www.oneops.com
Maximizing Oil and Gas (Data) Asset Utilization with a Logical Data Fabric (A...Denodo
Watch full webinar here: https://bit.ly/3g9PlQP
It is no news that Oil and Gas companies are constantly faced with immense pressure to stay competitive, especially in the current climate while striving towards becoming data-driven at the heart of the process to scale and gain greater operational efficiencies across the organization.
Hence, the need for a logical data layer to help Oil and Gas businesses move towards a unified secure and governed environment to optimize the potential of data assets across the enterprise efficiently and deliver real-time insights.
Tune in to this on-demand webinar where you will:
- Discover the role of data fabrics and Industry 4.0 in enabling smart fields
- Understand how to connect data assets and the associated value chain to high impact domain areas
- See examples of organizations accelerating time-to-value and reducing NPT
- Learn best practices for handling real-time/streaming/IoT data for analytical and operational use cases
¿Cómo las manufacturas están evolucionando hacia la Industria 4.0 con la virt...Denodo
Watch full webinar here: https://bit.ly/3cbpipB
Uno de los sectores en los que la transformación digital está teniendo un efecto más disruptivo es el de la fabricación. Líderes del sector manufacturero están apostando por el Big Data, la computación en la nube, la inteligencia artificial y el Internet de las Cosas (IoT) entre otras tecnologías, además de contemplar la llegada de la 5G, con el fin de:
- Automatizar los procesos de manera eficiente, para permitir una mayor producción en menor tiempo
- Crear valor añadido en los productos manufacturados
- Conectar la planta industrial con el punto de venta
- Impulsar el análisis en tiempo real de datos provenientes de diferentes cadenas de producción
Sin embargo, para alcanzar estos objetivos y llevar a cabo esta revolución tecnológica, también conocida como industria 4.0, las manufacturas tienen que enfrentarse a una serie de desafíos no negligentes. El sector industrial es el que genera más datos en el mundo, y en la era digital, la velocidad, la diversidad y el volumen exponencial de los datos pueden superar las arquitecturas de TI tradicionales. Además, la mayoría de los fabricantes se enfrentan a silos de datos, lo que hace que su tratamiento sea lento y costoso. Necesitan entonces una plataforma de TI fiable que permita integrar, centralizar y analizar datos de distintas fuentes y diferentes formatos de manera ágil y segura para poner la información al servicio del negocio.
Los expertos de Enki y Denodo te proponen este seminario online para descubrir qué es la virtualización de datos, y por qué líderes del sector apuestan por esta tecnología innovadora para optimizar su estrategia de TI y conseguir un ROI significativo gracias a un acceso más rápido, simple y unificado a los datos industriales.
Internet of Things (IoT) overview powered by Red HatDavid Bericat
Introduction delivered at the Summit session with Accenture, before they presented their Connected Platform as a Service (CPaaS) which uses Red Hat JBoss Fuse and A-MQ as their core foundation technologies for integration and messaging.
MongoDB IoT City Tour STUTTGART: Hadoop and future data management. By, ClouderaMongoDB
Bernard Doering, Senior Slaes Director DACH, Cloudera.
Hadoop and the Future of Data Management. As Hadoop takes the data management market by storm, organisations are evolving the role it plays in the modern data centre. Explore how this disruptive technology is quickly transforming an industry and how you can leverage it today, in combination with MongoDB, to drive meaningful change in your business.
Driving Network and Marketing Investments at O2 by Focusing on Improving the ...DataWorks Summit
The idea was to predict the customer experience, and their perception of the O2 network at both the user and area levels to drive the network and marketing investments. Here is why and how we got there.
In order to measure and predict customer network experience, O2 needed a streaming big data solution which would consume billions of events coming in from the network, in real-time, to measure the performance of the network as experienced by the customer. It was important to build a platform to gather all the relevant data; to co-relate that with the customer satisfaction index (CSI) surveys to understand the relationship of metrics to score. We applied machine learning methods to predict the CSI for all users on the network. Customer insights from the network helped us to build customer segmentations which are shaping various marketing and digital propositions at O2.
- The overall solution was based on a hybrid architecture, where Open Source technologies were brought together with Tableau visualization which enabled O2 to keep the maintenance cost down to a minimum.
- In order to have quick ROI, the solution was built as the prototype which continued to evolve and now currently handles 30 billion transactions a day, continuously streaming into the platform, and predicting customer experience for 35m+ users.
The O2 solution continued to expand every year to accommodate multi-fold growth in traffic, and to accommodate additional features. The decision to move from a community edition Hadoop to the Hortonworks-based platform enabled us to have a supported, faster, and more reliable service. The migration to Hortonworks was completed in October 2018 which has given us the reliable platform to expand the analytics use cases across the wider O2 businesses.
A Key to Real-time Insights in a Post-COVID World (ASEAN)Denodo
Watch full webinar here: https://bit.ly/2EpHGyd
Presented at Data Champions, Online Asia 2020
Businesses and individuals around the world are experiencing the impact of a global pandemic. With many workers and potential shoppers still sequestered, COVID-19 is proving to have a momentous impact on the global economy. Regardless of the current situation and post-pandemic era, real-time data becomes even more critical to healthcare practitioners, business owners, government officials, and the public at large where holistic and timely information are important to make quick decisions. It enables doctors to make quick decisions about where to focus the care, business owners to alter production schedules to meet the demand, government agencies to contain the epidemic, and the public to be informed about prevention.
In this on-demand session, you will learn about the capabilities of data virtualization as a modern data integration technique and how can organisations:
- Rapidly unify information from disparate data sources to make accurate decisions and analyse data in real-time
- Build a single engine for security that provides audit and control by geographies
- Accelerate delivery of insights from your advanced analytics project
Keynote delivered by Richard Leurig, Senior Vice President, Innovation Development Center at CoreLogic.
CoreLogic is a leading global property information, analytics and data-enabled services provider. As part of a strategic technology transformation, CoreLogic has embarked upon building a product and data delivery platform based on the Cloud Foundry PaaS. Working with Pivotal, the CoreLogic Innovation Development Center is developing new products on a scalable common component ecosystem with a Hybrid Cloud strategy which in turn will facilitate innovation and drive faster product delivery.
Getting started with Hadoop on the Cloud with BluemixNicolas Morales
Silicon Valley Code Camp -- October 11, 2014.
Session: Getting started with Hadoop on the Cloud.
Hadoop and Cloud is an almost perfect marriage. Hadoop is a distributed computing framework that leverages a cluster built on commodity hardware. The Cloud simplifies provisioning of machines and software. Getting started with Hadoop on the Cloud makes it simple to provision your environment quickly and actually get started using Hadoop. IBM Bluemix has democratized Hadoop for the masses! This session will provide a brief introduction to what Hadoop is, how does cloud work and will then focus on how to get started via a series of demos. We will conclude with a discussion around the tutorials and public datasets - all of the tools needed to get you started quickly.
Learn more about BigInsights for Hadoop: https://developer.ibm.com/hadoop/
Watch full webinar here: https://bit.ly/3mdj9i7
You will often hear that "data is the new gold"? In this context, data management is one of the areas that has received more attention from the software community in recent years. From Artificial Intelligence and Machine Learning to new ways to store and process data, the landscape for data management is in constant evolution. From the privileged perspective of an enterprise middleware platform, we at Denodo have the advantage of seeing many of these changes happen.
In this webinar, we will discuss the technology trends that will drive the enterprise data strategies in the years to come. Don't miss it if you want to keep yourself informed about how to convert your data to strategic assets in order to complete the data-driven transformation in your company.
Watch this on-demand webinar as we cover:
- The most interesting trends in data management
- How to build a data fabric architecture?
- How to manage your data integration strategy in the new hybrid world
- Our predictions on how those trends will change the data management world
- How can companies monetize the data through data-as-a-service infrastructure?
- What is the role of voice computing in future data analytic
This slide deck introduces the key capabilities of WSO2 Enterprise Integrator and explores how it can solve even the most complex integration scenarios.
Fairification experience clarifying the semantics of data matricesPistoia Alliance
This webinar presents the Statistics Ontology, STATO which is a semantic framework to support the creation of standardized analysis reports to help with review of results in the form of data matrices. STATO includes a hierarchy of classes and a vocabulary for annotating statistical methods used in life, natural and biomedical sciences investigations, text mining and statistical analyses.
Innovation applications of microphysiological systems (MPS) have been growing over the past decade, especially with respect to the use of complex human tissues for assessing safety of drug candidates – but broad industry adoption of MPS methods has not yet become a reality.
This webinar addresses some recent advances in MPS development and begins to explore the barriers to increased incorporation of MPS to improve drug safety assessment and to provide safer, more effective drugs into the clinical pipeline.
Federated Learning (FL) is a learning paradigm that enables collaborative learning without centralizing datasets. In this webinar, NVIDIA present the concept of FL and discuss how it can help overcome some of the barriers seen in the development of AI-based solutions for pharma, genomics and healthcare. Following the presentation, the panel debate on other elements that could drive the adoption of digital approaches more widely and help answer currently intractable science and business questions.
It seems that AI is also becoming a buzzword, like design thinking. Everyone is talking about AI or wants to have AI, and sees all the ideas and benefits – that’s fine, but how do you get started? But what’s different now? Three innovations have finally put AI on the fast track: Big Data, with the internet and sensors everywhere; massive computing power, especially through the Cloud; and the development of breakthrough algorithms, so computers can be trained to accomplish more sophisticated tasks on their own with deep learning. If you use new technology, you need to explore and know what’s possible. With design thinking, it aids to outline the steps and define the ways in which you’re going to create the solution. Starting with mapping the customer journey, defining who will be using that service enhanced with intelligent technology, or who will benefit and gain value from it. We discuss how these two worlds are coming together, and how you get started to transform your venture with Artificial Intelligence using Design Thinking.
Speaker: Claudio Mirti, Principal Solution Specialist – Data & AI, Microsoft
Themes and objectives:
To position FAIR as a key enabler to automate and accelerate R&D process workflows
FAIR Implementation within the context of a use case
Grounded in precise outcomes (e.g. faster and bigger science / more reuse of data to enhance value / increased ability to share data for collaboration and partnership)
To make data actionable through FAIR interoperability
Speakers:
Mathew Woodwark,Head of Data Infrastructure and Tools, Data Science & AI, AstraZeneca
Erik Schultes, International Science Coordinator, GO-FAIR
Georges Heiter, Founder & CEO, Databiology
Knowledge graphs ilaria maresi the hyve 23apr2020Pistoia Alliance
Data for drug discovery and healthcare is often trapped in silos which hampers effective interpretation and reuse. To remedy this, such data needs to be linked both internally and to external sources to make a FAIR data landscape which can power semantic models and knowledge graphs.
2020.04.07 automated molecular design and the bradshaw platform webinarPistoia Alliance
This presentation described how data-driven chemoinformatics methods may automate much of what has historically been done by a medicinal chemist. It explored what is reasonable to expect “AI” approaches might achieve, and what is best left with a human expert. The implications of automation for the human-machine interface were explored and illustrated with examples from Bradshaw, GSK’s experimental automated design environment.
This presentation reviewed the challenges in identifying, acquiring and utilizing research data in relation to an evolving data market. Strategic solutions were examined in which the FAIR principles play a key role in the future of data management.
Dr. Dennis Wang discusses possible ways to enable ML methods to be more powerful for discovery and to reduce ambiguity within translational medicine, allowing data-informed decision-making to deliver the next generation of diagnostics and therapeutics to patients quicker, at lowered costs, and at scale.
The talk by Dr. Dennis Wang was followed by a panel discussion with Mr. Albert Wang, M. Eng., Head, IT Business Partner, Translational Research & Technologies, Bristol-Myers Squibb.
With the explosion of interest in both enhanced knowledge management and open science, the past few years have seen considerable discussion about making scientific data “FAIR” — findable, accessible, interoperable, and reusable. The problem is that most scientific datasets are not FAIR. When left to their own devices, scientists do an absolutely terrible job creating the metadata that describe the experimental datasets that make their way in online repositories. The lack of standardization makes it extremely difficult for other investigators to locate relevant datasets, to re-analyse them, and to integrate those datasets with other data. The Center for Expanded Data Annotation and Retrieval (CEDAR) has the goal of enhancing the authoring of experimental metadata to make online datasets more useful to the scientific community. The CEDAR work bench for metadata management will be presented in this webinar. CEDAR illustrates the importance of semantic technology to driving open science. It also demonstrates a means for simplifying access to scientific data sets and enhancing the reuse of the data to drive new discoveries.
Open interoperability standards, tools and services at EMBL-EBIPistoia Alliance
In this webinar Dr Henriette Harmse from EMBL-EBI presents how they are using their ontology services at EMBL-EBI to scale up the annotation of data and deliver added value through ontologies and semantics to their users.
Application of recently developed FAIR metrics to the ELIXIR Core Data ResourcesPistoia Alliance
The FAIR (Findable, Accessible, Interoperable and Reusable) principles aim to maximize the discovery and reuse of digital resources. Using recently developed software and metrics to assess FAIRness and supported through an ELIXIR Implementation Study, Michel worked with a subset of ELIXIR Core Data Resources to apply these technologies. In this webinar, he will discuss their approach, findings, and lessons learned towards the understanding and promotion of the FAIR principles.
Implementing Blockchain applications in healthcarePistoia Alliance
Blockchain technology can revolutionise the way information is exchanged between parties by bringing an unprecedented level of security and trust to these transactions. The technology is finding its way into multiple use cases but we are yet to see full adoption and real-world business implementation in the Healthcare industry.
In this webinar we will explore the main challenges and considerations for the implementation of Blockchain technology in Healthcare use cases. This is the third webinar in our Blockchain Education series.
Building trust and accountability - the role User Experience design can play ...Pistoia Alliance
In this webinar our panel of UX specialists give a brief introduction to User Experience before presenting the design opportunities UX can bring to AI. We all know that AI has great potential but has some significant hurdles to overcome not least so the human aspect of trust and ethical considerations when designing in the life sciences.
In the late Fall and Winter of 2018, the Pistoia Alliance in cooperation with Elsevier and charitable organizations Cures within Reach and Mission: Cure ran a datathon aiming to find drugs suitable for treatment of childhood chronic pancreatitis, a rare disease that causes extreme suffering. The datathon resulted in identification of four candidate compounds in a short time frame of just under three months. In this webinar our speakers discuss the technologies that made this leap possible
Creating novel drugs is an extraordinarily hard and complex problem.
One of the many challenges in drug design is the sheer size of the search space for novel chemical compounds. Scientists need to find molecules that are active toward a biological target or pathway and at the same time have acceptable ADMET properties.
There is now considerable research going on using various AI and ML approaches to tackle these challenges.
Our distinguished speakers, Drs. Alex Tropsha and Ola Engkvist, will discuss their recent work in Drug Design involving Deep Reinforcement Learning and Neural Networks, and will answer questions from the audience on the current state of the research in the field.
Speakers:
Prof Alex Tropsha, Professor at University of North Carolina at Chapel Hill, USA
Dr. Ola Engkvist, Associate Director at AstraZeneca R&D, Gothenburg, Sweden
The slides from thecontinuing part of Pistoia Alliance's drive to improve education and communication around new technologies to life science professionals, this webinar explored how blockchain/DLT and IoT could come together to add even more trust to the GxP domain. If you want to know more about how these new technologies could help enhance GxP compliance, then this webinar will give you much food for thought.
This talk presents an overview of the philosophy and ongoing work of the PhUSE project “Clinical Trials Results as Resource Description Framework.” The team is converting data from the CDISC Study Data Tabulation Model (SDTM) to graph data using an ontology-based approach. The wider implications of this work will be discussed, along with deployment strategies within and beyond the industry.
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
Introduction:
RNA interference (RNAi) or Post-Transcriptional Gene Silencing (PTGS) is an important biological process for modulating eukaryotic gene expression.
It is highly conserved process of posttranscriptional gene silencing by which double stranded RNA (dsRNA) causes sequence-specific degradation of mRNA sequences.
dsRNA-induced gene silencing (RNAi) is reported in a wide range of eukaryotes ranging from worms, insects, mammals and plants.
This process mediates resistance to both endogenous parasitic and exogenous pathogenic nucleic acids, and regulates the expression of protein-coding genes.
What are small ncRNAs?
micro RNA (miRNA)
short interfering RNA (siRNA)
Properties of small non-coding RNA:
Involved in silencing mRNA transcripts.
Called “small” because they are usually only about 21-24 nucleotides long.
Synthesized by first cutting up longer precursor sequences (like the 61nt one that Lee discovered).
Silence an mRNA by base pairing with some sequence on the mRNA.
Discovery of siRNA?
The first small RNA:
In 1993 Rosalind Lee (Victor Ambros lab) was studying a non- coding gene in C. elegans, lin-4, that was involved in silencing of another gene, lin-14, at the appropriate time in the
development of the worm C. elegans.
Two small transcripts of lin-4 (22nt and 61nt) were found to be complementary to a sequence in the 3' UTR of lin-14.
Because lin-4 encoded no protein, she deduced that it must be these transcripts that are causing the silencing by RNA-RNA interactions.
Types of RNAi ( non coding RNA)
MiRNA
Length (23-25 nt)
Trans acting
Binds with target MRNA in mismatch
Translation inhibition
Si RNA
Length 21 nt.
Cis acting
Bind with target Mrna in perfect complementary sequence
Piwi-RNA
Length ; 25 to 36 nt.
Expressed in Germ Cells
Regulates trnasposomes activity
MECHANISM OF RNAI:
First the double-stranded RNA teams up with a protein complex named Dicer, which cuts the long RNA into short pieces.
Then another protein complex called RISC (RNA-induced silencing complex) discards one of the two RNA strands.
The RISC-docked, single-stranded RNA then pairs with the homologous mRNA and destroys it.
THE RISC COMPLEX:
RISC is large(>500kD) RNA multi- protein Binding complex which triggers MRNA degradation in response to MRNA
Unwinding of double stranded Si RNA by ATP independent Helicase
Active component of RISC is Ago proteins( ENDONUCLEASE) which cleave target MRNA.
DICER: endonuclease (RNase Family III)
Argonaute: Central Component of the RNA-Induced Silencing Complex (RISC)
One strand of the dsRNA produced by Dicer is retained in the RISC complex in association with Argonaute
ARGONAUTE PROTEIN :
1.PAZ(PIWI/Argonaute/ Zwille)- Recognition of target MRNA
2.PIWI (p-element induced wimpy Testis)- breaks Phosphodiester bond of mRNA.)RNAse H activity.
MiRNA:
The Double-stranded RNAs are naturally produced in eukaryotic cells during development, and they have a key role in regulating gene expression .
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.Sérgio Sacani
The return of a sample of near-surface atmosphere from Mars would facilitate answers to several first-order science questions surrounding the formation and evolution of the planet. One of the important aspects of terrestrial planet formation in general is the role that primary atmospheres played in influencing the chemistry and structure of the planets and their antecedents. Studies of the martian atmosphere can be used to investigate the role of a primary atmosphere in its history. Atmosphere samples would also inform our understanding of the near-surface chemistry of the planet, and ultimately the prospects for life. High-precision isotopic analyses of constituent gases are needed to address these questions, requiring that the analyses are made on returned samples rather than in situ.
This pdf is about the Schizophrenia.
For more details visit on YouTube; @SELF-EXPLANATORY;
https://www.youtube.com/channel/UCAiarMZDNhe1A3Rnpr_WkzA/videos
Thanks...!
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
Cancer cell metabolism: special Reference to Lactate PathwayAADYARAJPANDEY1
Normal Cell Metabolism:
Cellular respiration describes the series of steps that cells use to break down sugar and other chemicals to get the energy we need to function.
Energy is stored in the bonds of glucose and when glucose is broken down, much of that energy is released.
Cell utilize energy in the form of ATP.
The first step of respiration is called glycolysis. In a series of steps, glycolysis breaks glucose into two smaller molecules - a chemical called pyruvate. A small amount of ATP is formed during this process.
Most healthy cells continue the breakdown in a second process, called the Kreb's cycle. The Kreb's cycle allows cells to “burn” the pyruvates made in glycolysis to get more ATP.
The last step in the breakdown of glucose is called oxidative phosphorylation (Ox-Phos).
It takes place in specialized cell structures called mitochondria. This process produces a large amount of ATP. Importantly, cells need oxygen to complete oxidative phosphorylation.
If a cell completes only glycolysis, only 2 molecules of ATP are made per glucose. However, if the cell completes the entire respiration process (glycolysis - Kreb's - oxidative phosphorylation), about 36 molecules of ATP are created, giving it much more energy to use.
IN CANCER CELL:
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
introduction to WARBERG PHENOMENA:
WARBURG EFFECT Usually, cancer cells are highly glycolytic (glucose addiction) and take up more glucose than do normal cells from outside.
Otto Heinrich Warburg (; 8 October 1883 – 1 August 1970) In 1931 was awarded the Nobel Prize in Physiology for his "discovery of the nature and mode of action of the respiratory enzyme.
WARNBURG EFFECT : cancer cells under aerobic (well-oxygenated) conditions to metabolize glucose to lactate (aerobic glycolysis) is known as the Warburg effect. Warburg made the observation that tumor slices consume glucose and secrete lactate at a higher rate than normal tissues.
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
A brief information about the SCOP protein database used in bioinformatics.
The Structural Classification of Proteins (SCOP) database is a comprehensive and authoritative resource for the structural and evolutionary relationships of proteins. It provides a detailed and curated classification of protein structures, grouping them into families, superfamilies, and folds based on their structural and sequence similarities.
Multi-source connectivity as the driver of solar wind variability in the heli...Sérgio Sacani
The ambient solar wind that flls the heliosphere originates from multiple
sources in the solar corona and is highly structured. It is often described
as high-speed, relatively homogeneous, plasma streams from coronal
holes and slow-speed, highly variable, streams whose source regions are
under debate. A key goal of ESA/NASA’s Solar Orbiter mission is to identify
solar wind sources and understand what drives the complexity seen in the
heliosphere. By combining magnetic feld modelling and spectroscopic
techniques with high-resolution observations and measurements, we show
that the solar wind variability detected in situ by Solar Orbiter in March
2022 is driven by spatio-temporal changes in the magnetic connectivity to
multiple sources in the solar atmosphere. The magnetic feld footpoints
connected to the spacecraft moved from the boundaries of a coronal hole
to one active region (12961) and then across to another region (12957). This
is refected in the in situ measurements, which show the transition from fast
to highly Alfvénic then to slow solar wind that is disrupted by the arrival of
a coronal mass ejection. Our results describe solar wind variability at 0.5 au
but are applicable to near-Earth observatories.
insect taxonomy importance systematics and classification
Pistoia Alliance USA Conference 2016
1. RED HAT, OPEN SOURCE AND THE
INTERNET OF THINGS
Ken Johnson
Sr. Director, Product Management
Red Hat
2. OPEN
SOURCE
LEADER
#
1
MORE THAN
90%
of the
FORTUNE
500
use
RED HAT
PRODUCTS &
SOLUTIONS. *
* Red Hat client data, 2015
1993 1999 2002 2006 2011 20122009 2013 2014
COUNTRIES
AWARD-WINNING
SOLUTIONS
500
S&P
COMPANY
NYSE:
RHT
2015
~9,300
EMPLOYEES
85
WORLDWIDE
OFFICES
35
4. We participate in and create community-
powered upstream projects.
We integrate upstream projects,
fostering open community platforms.
We commercialize these platforms
together with a rich ecosystem of
services and certifications.
PARTICIPATE
INTEGRATE
STABILIZE
(upstream projects)
(community platforms)
(supported products
platforms, and solutions)
1M+
Projects
COMMUNITY PROJECTS-TO-PRODUCTS
6. 6
OPEN-SOURCE IOT COMMUNITIES
The Eclipse Foundation
Eclipse IoT Project
Iot.eclipse.org
Goal: to provide open source
implementations of standards,
services and frameworks that
enable an Open Internet of Things.
9. 9
THE DATA-DRIVEN IoT
Devices are the eyes and ears of the intelligent system, not its brain.
DATADEVICES BUSINESS MODELS
10. 10
INTERNET OF THINGS INFORMATION
LIFECYCLE
Information triggers
pre-defined business rules
Summarized information
sent to back office
for deep analysis
New rules created and pushed to
business rules engine
New data analysis
optimizations
Controlled and
augmented by
domain experts
Field level
data analysis
DATA
Data emitted from
sensors, control panels,
actuators, human
interfaces, etc.
INTELLIGENCE
Actions driven from
information
INFORMATION
Data analyzed to drive
tactical action
KNOWLEDGE
Information stored in DB
and analyzed, yielding
optimized tactical tools.
11. 11
ENTERPRISE IoT ARCHITECTURE
DATACENTER
GATEWAYS
DEVICES
Driving datacenter function to the edge
• Business processing
• Reporting
• Long-term data analytics
• Data infrastructure
• Enterprise integration
• Software-defined storage
• Communications/messaging
• Data pre-processing
• Real-time data analytics
• Real-time actions/rules
• Software-defined storage
• Communications/messaging
• Data acquisition
13. 13
CRITICAL AREAS FOR IoT SUCCESS
M2M COMMUNICATION
PROTOCOLS
DEVICE
MIDDLEWARE
APPLICATION
M2M COMMUNICATION
INFRASTRUCTURE
BUSINESS APPLICATION
INTEGRATION
COMPLEX EVENT
PROCESSING
(CEP)
1 2 3 5 6
• Selecting and integrating
operating system, device
support/drivers
• Implementing the
business logic
• Optimizing
M2M protocols
• WAN cost reduction
• Security
• Decoupling of producers
and consumers of data
• Write speeds
• Real-time data streams
• Data storage
• Standard APIs
• Ready to use adapters for
standard applications
• CEP capabilities
• Application development
and lifecycle management
• Dashboards, user interaction
and interfacing
• Integration (big data, social
networks, enterprise IT)
1 2 3 5 6
• Device data management
• Device lifecycle
management
• Security
4
4 DEVICE MANAGEMENT
14. 14
Red Hat helps enterprises and partners
collect, communicate, transform, store, and
act upon critical data generated by the Internet
of Things.
RED HAT AND IOT
Our open-source solutions
• free you from proprietary lock-in and cost
escalation
• capture community innovation
• provide the enterprise-level security, reliability,
scalability and support required by the IoT
Converging the worlds of OT and IT
The Internet of Things is transforming operational technology - OT. Next-generation IP-based operational control systems can help businesses improve economics and automation.
Forward-looking companies are aligning OT and IT infrastructure as part of IoT initiatives. By unifying OT and IT systems and practices enterprises can optimize business processes and slash operating expenses.
When integrating OT and IT environments it is important to address both technological and organizational requirements.
Implement a tiered intelligent systems architecture to ensure high scalability, availability, and security.
Use IoT gateways to efficiently bridge the gap between the OT and IT realms.
Set strategic direction at the executive level to avoid turf wars.
Establish cross-functional teams to share knowledge and harmonize business practices.
By aligning OT and IT, enterprises can transform raw data into meaningful and actionable information that increases productivity, improves decision making, and boosts business results. For example…
Managing the information lifecycle:
In the IoT, the ability for newer, smarter devices to communicate with each other, with back-end datacenters, and with related systems requires data to be processed into information in different ways and in more than one location and direction.
Typically, we think of data being sent to and crunched in massive datacenters, producing analytics that can then be turned into intelligence for determining actions. But with the IoT, intelligent systems are redefining that process.
As the figure illustrates, tactical data processing can occur at the device level with data analyzed near field to allow immediate action to be taken. This field level data analysis prompts action based on pre-defined business rules. Once those actions occur, summary data is relayed to the back-office for deep analysis. Additional knowledge gained from that analysis determines how best to optimize the system and can result in new rules being set to improve process flow.
This is possible thanks to the addition of edge processing capabilities (more on that later). The constant feedback loop between tactical field operation and strategic process analysis allows decisions to be made as close as possible to the edge of the network. This results in reduced transmission costs and quicker decision time horizons, crucial factors in enterprise IoT implementations.