Learn how Pfizer Digital uses Elastic in a good manufacturing practice (GMP) environment for indexing, audit reporting, near real-time metric dashboarding, and as a data lake solution.
A presentation I used in .NET Conference 2020, as Microsoft MVP. I spoke about the problem that Form Recognizer want to solve, the service in details, and live demo in action.
Feel free to contact me: twitter : @teerasej
Las principales funciones de un administrador de base de datos (DBA) incluyen la gestión general de la base de datos, el modelado y diseño de la base de datos, y la protección de los datos mediante copias de seguridad y planes de recuperación. Un DBA también se encarga de la integración de aplicaciones con la base de datos, la planificación de capacidad y la administración de cambios.
This document provides information about Sayed Ahmed and his company Justetc Technologies. It also shares learning objectives and free training resources on various topics related to databases and database management systems (DBMS) such as the concept of databases, relational databases, data security, encryption, and SQL. Contact information and references for further study are provided at the end.
QuerySurge Slide Deck for Big Data Testing WebinarRTTS
This is a slide deck from QuerySurge's Big Data Testing webinar.
Learn why Testing is pivotal to the success of your Big Data Strategy .
Learn more at www.querysurge.com
The growing variety of new data sources is pushing organizations to look for streamlined ways to manage complexities and get the most out of their data-related investments. The companies that do this correctly are realizing the power of big data for business expansion and growth.
Learn why testing your enterprise's data is pivotal for success with big data, Hadoop and NoSQL. Learn how to increase your testing speed, boost your testing coverage (up to 100%), and improve the level of quality within your data warehouse - all with one ETL testing tool.
This information is geared towards:
- Big Data & Data Warehouse Architects,
- ETL Developers
- ETL Testers, Big Data Testers
- Data Analysts
- Operations teams
- Business Intelligence (BI) Architects
- Data Management Officers & Directors
You will learn how to:
- Improve your Data Quality
- Accelerate your data testing cycles
- Reduce your costs & risks
- Provide a huge ROI (as high as 1,300%)
ETL Made Easy with Azure Data Factory and Azure DatabricksDatabricks
This document summarizes Mark Kromer's presentation on using Azure Data Factory and Azure Databricks for ETL. It discusses using ADF for nightly data loads, slowly changing dimensions, and loading star schemas into data warehouses. It also covers using ADF for data science scenarios with data lakes. The presentation describes ADF mapping data flows for code-free data transformations at scale in the cloud without needing expertise in Spark, Scala, Python or Java. It highlights how mapping data flows allow users to focus on business logic and data transformations through an expression language and provides debugging and monitoring of data flows.
The 7-step process outlines an effective strategy for pharmaceutical companies to master clinical trials data:
1. Get approval to reuse existing clinical trials data for additional purposes.
2. Determine how clinical trials data can be used for both clinical and non-clinical use cases.
3. Access completed clinical trials data from various sources.
4. Take an agile DataOps approach using machine learning to efficiently integrate and transform the data.
5. Determine how the mastered clinical trials data will be consumed via analytics and business intelligence tools.
6. Link clinical trials data to other internal and external sources like genomics data and electronic health records.
7. Develop the analytics skills of team members to maximize insights
We are pleased to present our review of the life sciences software market for the first half of 2019.
Madison Park Group is a unique investment banking firm that takes a "strategy first" approach to advising software companies. Our partners have developed and advised numerous successful companies as operators, investors and investment bankers.
Rohan Khanna and Jonathan Adler spearhead the firm's efforts in the space.
A presentation I used in .NET Conference 2020, as Microsoft MVP. I spoke about the problem that Form Recognizer want to solve, the service in details, and live demo in action.
Feel free to contact me: twitter : @teerasej
Las principales funciones de un administrador de base de datos (DBA) incluyen la gestión general de la base de datos, el modelado y diseño de la base de datos, y la protección de los datos mediante copias de seguridad y planes de recuperación. Un DBA también se encarga de la integración de aplicaciones con la base de datos, la planificación de capacidad y la administración de cambios.
This document provides information about Sayed Ahmed and his company Justetc Technologies. It also shares learning objectives and free training resources on various topics related to databases and database management systems (DBMS) such as the concept of databases, relational databases, data security, encryption, and SQL. Contact information and references for further study are provided at the end.
QuerySurge Slide Deck for Big Data Testing WebinarRTTS
This is a slide deck from QuerySurge's Big Data Testing webinar.
Learn why Testing is pivotal to the success of your Big Data Strategy .
Learn more at www.querysurge.com
The growing variety of new data sources is pushing organizations to look for streamlined ways to manage complexities and get the most out of their data-related investments. The companies that do this correctly are realizing the power of big data for business expansion and growth.
Learn why testing your enterprise's data is pivotal for success with big data, Hadoop and NoSQL. Learn how to increase your testing speed, boost your testing coverage (up to 100%), and improve the level of quality within your data warehouse - all with one ETL testing tool.
This information is geared towards:
- Big Data & Data Warehouse Architects,
- ETL Developers
- ETL Testers, Big Data Testers
- Data Analysts
- Operations teams
- Business Intelligence (BI) Architects
- Data Management Officers & Directors
You will learn how to:
- Improve your Data Quality
- Accelerate your data testing cycles
- Reduce your costs & risks
- Provide a huge ROI (as high as 1,300%)
ETL Made Easy with Azure Data Factory and Azure DatabricksDatabricks
This document summarizes Mark Kromer's presentation on using Azure Data Factory and Azure Databricks for ETL. It discusses using ADF for nightly data loads, slowly changing dimensions, and loading star schemas into data warehouses. It also covers using ADF for data science scenarios with data lakes. The presentation describes ADF mapping data flows for code-free data transformations at scale in the cloud without needing expertise in Spark, Scala, Python or Java. It highlights how mapping data flows allow users to focus on business logic and data transformations through an expression language and provides debugging and monitoring of data flows.
The 7-step process outlines an effective strategy for pharmaceutical companies to master clinical trials data:
1. Get approval to reuse existing clinical trials data for additional purposes.
2. Determine how clinical trials data can be used for both clinical and non-clinical use cases.
3. Access completed clinical trials data from various sources.
4. Take an agile DataOps approach using machine learning to efficiently integrate and transform the data.
5. Determine how the mastered clinical trials data will be consumed via analytics and business intelligence tools.
6. Link clinical trials data to other internal and external sources like genomics data and electronic health records.
7. Develop the analytics skills of team members to maximize insights
We are pleased to present our review of the life sciences software market for the first half of 2019.
Madison Park Group is a unique investment banking firm that takes a "strategy first" approach to advising software companies. Our partners have developed and advised numerous successful companies as operators, investors and investment bankers.
Rohan Khanna and Jonathan Adler spearhead the firm's efforts in the space.
The document discusses the role of data lakes in healthcare. It defines a data lake as a system that holds large amounts of raw data from various sources in its original format to enable analysis. Data lakes allow healthcare organizations to gain insights from patient outcomes, fraud detection, clinical trials, and more. Examples of potential use cases in healthcare include genomic analytics, improving clinical trials, predictive healthcare costs, creating a 360-degree view of patients, identifying billing opportunities from unstructured text, and psychographic prescriptive modeling. The document outlines best practices for assessing the need for a data lake, planning, implementing, and governing a data lake project in a healthcare organization.
This document discusses cybersecurity challenges in healthcare. It begins with an agenda covering healthcare cybersecurity headlines, trends, unique issues, practical remedies, where to begin, and building security collaboratively. It then covers each agenda item in more detail. The document emphasizes that healthcare data is highly valuable to hackers and outlines trends like increasing ransomware attacks and data breaches. It describes unique challenges for healthcare like medical devices and real-time access needs. Practical steps are outlined like risk assessments, policies, access controls, and partnering with groups like state agencies and information sharing organizations.
Doug Copley presented on cybersecurity challenges in healthcare. He discussed:
1) Specific cybersecurity threats healthcare organizations face like phishing and valuable patient data.
2) Practical advice to reduce risk such as policies, access controls, and partnering with other organizations.
3) The importance of building security partnerships outside organizational boundaries to improve preparedness through information sharing.
The document outlines ProFAX's go-to-market strategy for positioning itself in the growing biopharmaceutical market. The biopharmaceutical market is large and growing, but companies are slowed down by the high computational needs of their algorithms. ProFAX aims to accelerate these algorithms using FPGA programmability to improve performance and reduce power consumption. ProFAX will create a prototype and promote its capabilities at international conferences to attract customers in need of hardware acceleration for complex biopharmaceutical modeling.
The document discusses open data in clinical research and how it relates to big data. It notes that open data means data that can be analyzed and used by anyone through linkages and evidence-based applications. The document outlines key principles for open data, including clarity of use, data quality, and managing data reuse. It describes benefits like crowd-sourcing analysis, data linkage insights, and improved data quality. Finally, it summarizes that for clinical research, open data is a way to securely analyze and apply insights from big data.
Access the webinar: http://goo.gl/p08pTz
These slides were presented in a webinar by Denodo in collaboration with BioStorage Technologies and Indiana Clinical and Translational Sciences Institute and Regenstrief Institute.
BioStorage Technologies, Inc., Indiana Clinical and Translational Sciences Institute, and Regenstrief Institute (CTSI) have joined Denodo to talk about the important role of technological advancements, such as data virtualization, in advancing biospecimen research.
By watching this webinar, you can gain insight into best practices around the integration of biospecimen and research data as well as technology solutions that provide consolidated views and rapid conversions of this data into valuable business insights. You will also learn how data virtualization can assist with the integration of data residing in heterogeneous repositories and can securely deliver aggregated data in real-time.
This document provides information about the "Biosimilars & Biobetters" conference being held on October 1-2, 2013 in London. The conference will discuss guidelines for biosimilars and biobetters from regulatory bodies, market access pathways, intellectual property, clinical development processes, and case studies on successful products. It will also feature two half-day workshops on developing marketing plans and the commercial realities of biosimilars. The conference is aimed at professionals in areas like regulatory affairs, clinical development, marketing, and intellectual property for pharmaceutical and biotechnology companies.
2016 Thermo Fisher Scientific Company OverviewJosie Zheng
Thermo Fisher Scientific is the world leader in serving science, with 50,000 employees in 50 countries and $17 billion in annual revenues. It invests heavily in R&D and provides resources and opportunities for its employees to make significant contributions. The company has a balanced portfolio across consumables, instruments, services, and end markets. It aims to meet customer needs through innovative technologies and a global presence.
By: Fiona Fitzgerald, GE Healthcare Canada
At Sherbrooke International Life Sciences Summit - 2nd edition | September 28/29/30 2015
www.sils-sherbrooke.com
This document advertises and provides an agenda for the "Data Quality & Technology in Clinical Trials 2016" conference to be held in Philadelphia on April 18-19, 2016. The conference will focus on how pharmaceutical companies can maximize data quality, become data-driven organizations, and harness analytics to improve clinical trial design, monitoring, and outcomes. Speakers will include executives from major pharmaceutical companies as well as regulators and discuss topics like unlocking value from clinical trial data, using patient-generated data, and harnessing new technologies in clinical trials. The goal is to help pharmaceutical companies transition to being data-driven organizations and improve clinical development timelines and success rates through better data practices and technologies.
BullFrog AI is a technology enabled drug development company using machine learning to usher in a new era of precision medicine. Through its collaborations with leading research institutions, including Johns Hopkins University and J. Craig Venter Institute, BullFrog AI is at the forefront of AI-driven drug development. Using its proprietary bfLEAP™ artificial intelligence platform, BullFrog AI aims to enable the successful development of pharmaceuticals and biologics by predicting which patients will respond to therapies in development. BullFrog AI is deploying bfLEAP™ for use at several critical stages of development with the intention of streamlining data analytics in therapeutics development, decreasing the overall development costs by decreasing failure rates for new therapeutics, and impacting the lives of countless patients that may have otherwise not received the therapies they need.
Magnatas, LLC provides strategic guidance and consultation to life sciences companies, venture firms, and service companies. It uses a convergent approach that combines scientific and commercial data to help clients succeed. Magnatas has scientific expertise in areas like immunology and commercial experience in business strategy, operations, and new model development. Its goal is to help clients maximize efficiency and make timely, informed decisions throughout the complex process of developing an asset or service.
Commercial Analytics at Scale in Pharma: From Hackathon to MVP with Azure Dat...Databricks
GSK are a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer.
We have three global businesses that discover, develop and manufacture innovative pharmaceutical medicines, vaccines and consumer healthcare products.
In this talk i will share our experience in the Pharmaceutical business delivering commercial analytics going from hackathon to MVP.
From the initial ideas and business discussions through delivery of a hackathon as an accelerator, on to building an MVP. Using the Azure cloud platform and Databricks to rapidly ingest data and prototype.
I will touch on the challenges, opportunities and learning points of the process we went through to deliver commercial analytics at scale in Pharma.
Pharmaceutical companies can leverage data science to determine patterns, test ideas and understand the effectiveness of treatments. Moreover, it helps in finding out the solution for the industries that need them. Data Science In Pharmaceutical industry can also help track sales efforts and offer feedback received during sales. Many pharmaceutical companies use data science to generate maximum benefits. At Root Facts, we offer advanced analytics that helps pharmaceutical companies to gain real advantage and build data models for turning insights to impact at scale.
Big Data and its Impact on Industry (Example of the Pharmaceutical Industry)Hellmuth Broda
While we bemoan the ever increasing data tsunami new technologies allow to harvest the gold nuggets in the hay stack.
Using the example of the Pharmaceutical Industry some of the possible business uses for Big Data Analitics are outlined.
Sutherland and International Institute for Analytics HIStalk Webinar - Charti...Sutherland Healthcare
The digital era is disrupting every industry and healthcare is no exception. Emerging technologies will introduce challenges and opportunities to transform operations and raise the bar of consumer experience. Success in this new era requires a new way of thinking, new skills, and new technologies to help your organization embrace digital health. This presentation demonstrates how to measure your organization's analytics maturity and design a strategy to digital transformation.
The three main objectives of this presentation are to show how to:
1) Leverage transformational design thinking methodologies to discover new opportunities, optimize existing operations, and improve experiences.
2) Measure and compare their organization's analytics maturity.
3) Develop a strategy for leveraging analytics and design thinking as a competitive differentiator
Predictive analytics uses historical data and machine learning to identify future trends and outcomes, helping businesses make better decisions. Data science plays a key role by collecting, analyzing, and modeling large datasets to build accurate predictive models. Pursuing a data science course offers hands-on training and networking opportunities to learn skills in high demand. It is important for data scientists to consider ethics and ensure predictions are used responsibly and for the benefit of society.
The document discusses applications of artificial intelligence in drug discovery and development. It begins with an introduction stating the overarching question of what AI applications exist and if it can make the process more efficient. It then outlines the structure of the document in answering sub-questions about what AI is, current approaches, breakthroughs, and challenges. Case studies are provided on startups like Atomwise that use AI for drug candidate generation and Phenomics AI for disease mechanism understanding. Challenges of AI include ethical concerns, regulatory hurdles, and technical obstacles but opportunities exist to make the process more efficient.
An introduction to Elasticsearch's advanced relevance ranking toolboxElasticsearch
The hallmark of a great search experience is always delivering the most relevant results, quickly, to every user. The difficulty lies behind the scenes in making that happen elegantly and at a scale. From App Search’s intuitive drag and drop interface to the advanced relevance capabilities built into the core of Elasticsearch — Elastic offers a range of tools for developers to tune relevance ranking and create incredible search experiences. In this session, we’ll explore some of Elasticsearch’s advanced relevance ranking features, such as dense vector fields, BM25F, ranking evaluation, and more. Plus we’ll give you some ideas for how these features are being used by other Elastic users to create world-class, category defining search experiences.
Eze Castle Integration is a managed service provider (MSP), cloud service provider (CSP), and internet service provider (ISP) that delivers services to more than 1,000 clients around the world. Different departments within Eze Castle have devised their own log aggregation solutions in order to provide visibility, meet regulatory compliance requirements, conduct cybersecurity investigations, and help engineers with troubleshooting infrastructure issues. In 2019, they partnered with Elastic to consolidate the data generated from different systems into a single pane of glass. And thanks to the ease of deployment on Elastic Cloud, professional consultation services from Elastic engineers, and on-demand training courses available on Elastic Learning, Eze Castle was able to go from proof-of-concept to a fully functioning ""Eze Managed SIEM"" product within a month!
Learn about Eze Castle's journey with Elastic and how they grew Eze Managed SIEM from zero to 100 customers In less than 14 months.
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The document discusses the role of data lakes in healthcare. It defines a data lake as a system that holds large amounts of raw data from various sources in its original format to enable analysis. Data lakes allow healthcare organizations to gain insights from patient outcomes, fraud detection, clinical trials, and more. Examples of potential use cases in healthcare include genomic analytics, improving clinical trials, predictive healthcare costs, creating a 360-degree view of patients, identifying billing opportunities from unstructured text, and psychographic prescriptive modeling. The document outlines best practices for assessing the need for a data lake, planning, implementing, and governing a data lake project in a healthcare organization.
This document discusses cybersecurity challenges in healthcare. It begins with an agenda covering healthcare cybersecurity headlines, trends, unique issues, practical remedies, where to begin, and building security collaboratively. It then covers each agenda item in more detail. The document emphasizes that healthcare data is highly valuable to hackers and outlines trends like increasing ransomware attacks and data breaches. It describes unique challenges for healthcare like medical devices and real-time access needs. Practical steps are outlined like risk assessments, policies, access controls, and partnering with groups like state agencies and information sharing organizations.
Doug Copley presented on cybersecurity challenges in healthcare. He discussed:
1) Specific cybersecurity threats healthcare organizations face like phishing and valuable patient data.
2) Practical advice to reduce risk such as policies, access controls, and partnering with other organizations.
3) The importance of building security partnerships outside organizational boundaries to improve preparedness through information sharing.
The document outlines ProFAX's go-to-market strategy for positioning itself in the growing biopharmaceutical market. The biopharmaceutical market is large and growing, but companies are slowed down by the high computational needs of their algorithms. ProFAX aims to accelerate these algorithms using FPGA programmability to improve performance and reduce power consumption. ProFAX will create a prototype and promote its capabilities at international conferences to attract customers in need of hardware acceleration for complex biopharmaceutical modeling.
The document discusses open data in clinical research and how it relates to big data. It notes that open data means data that can be analyzed and used by anyone through linkages and evidence-based applications. The document outlines key principles for open data, including clarity of use, data quality, and managing data reuse. It describes benefits like crowd-sourcing analysis, data linkage insights, and improved data quality. Finally, it summarizes that for clinical research, open data is a way to securely analyze and apply insights from big data.
Access the webinar: http://goo.gl/p08pTz
These slides were presented in a webinar by Denodo in collaboration with BioStorage Technologies and Indiana Clinical and Translational Sciences Institute and Regenstrief Institute.
BioStorage Technologies, Inc., Indiana Clinical and Translational Sciences Institute, and Regenstrief Institute (CTSI) have joined Denodo to talk about the important role of technological advancements, such as data virtualization, in advancing biospecimen research.
By watching this webinar, you can gain insight into best practices around the integration of biospecimen and research data as well as technology solutions that provide consolidated views and rapid conversions of this data into valuable business insights. You will also learn how data virtualization can assist with the integration of data residing in heterogeneous repositories and can securely deliver aggregated data in real-time.
This document provides information about the "Biosimilars & Biobetters" conference being held on October 1-2, 2013 in London. The conference will discuss guidelines for biosimilars and biobetters from regulatory bodies, market access pathways, intellectual property, clinical development processes, and case studies on successful products. It will also feature two half-day workshops on developing marketing plans and the commercial realities of biosimilars. The conference is aimed at professionals in areas like regulatory affairs, clinical development, marketing, and intellectual property for pharmaceutical and biotechnology companies.
2016 Thermo Fisher Scientific Company OverviewJosie Zheng
Thermo Fisher Scientific is the world leader in serving science, with 50,000 employees in 50 countries and $17 billion in annual revenues. It invests heavily in R&D and provides resources and opportunities for its employees to make significant contributions. The company has a balanced portfolio across consumables, instruments, services, and end markets. It aims to meet customer needs through innovative technologies and a global presence.
By: Fiona Fitzgerald, GE Healthcare Canada
At Sherbrooke International Life Sciences Summit - 2nd edition | September 28/29/30 2015
www.sils-sherbrooke.com
This document advertises and provides an agenda for the "Data Quality & Technology in Clinical Trials 2016" conference to be held in Philadelphia on April 18-19, 2016. The conference will focus on how pharmaceutical companies can maximize data quality, become data-driven organizations, and harness analytics to improve clinical trial design, monitoring, and outcomes. Speakers will include executives from major pharmaceutical companies as well as regulators and discuss topics like unlocking value from clinical trial data, using patient-generated data, and harnessing new technologies in clinical trials. The goal is to help pharmaceutical companies transition to being data-driven organizations and improve clinical development timelines and success rates through better data practices and technologies.
BullFrog AI is a technology enabled drug development company using machine learning to usher in a new era of precision medicine. Through its collaborations with leading research institutions, including Johns Hopkins University and J. Craig Venter Institute, BullFrog AI is at the forefront of AI-driven drug development. Using its proprietary bfLEAP™ artificial intelligence platform, BullFrog AI aims to enable the successful development of pharmaceuticals and biologics by predicting which patients will respond to therapies in development. BullFrog AI is deploying bfLEAP™ for use at several critical stages of development with the intention of streamlining data analytics in therapeutics development, decreasing the overall development costs by decreasing failure rates for new therapeutics, and impacting the lives of countless patients that may have otherwise not received the therapies they need.
Magnatas, LLC provides strategic guidance and consultation to life sciences companies, venture firms, and service companies. It uses a convergent approach that combines scientific and commercial data to help clients succeed. Magnatas has scientific expertise in areas like immunology and commercial experience in business strategy, operations, and new model development. Its goal is to help clients maximize efficiency and make timely, informed decisions throughout the complex process of developing an asset or service.
Commercial Analytics at Scale in Pharma: From Hackathon to MVP with Azure Dat...Databricks
GSK are a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer.
We have three global businesses that discover, develop and manufacture innovative pharmaceutical medicines, vaccines and consumer healthcare products.
In this talk i will share our experience in the Pharmaceutical business delivering commercial analytics going from hackathon to MVP.
From the initial ideas and business discussions through delivery of a hackathon as an accelerator, on to building an MVP. Using the Azure cloud platform and Databricks to rapidly ingest data and prototype.
I will touch on the challenges, opportunities and learning points of the process we went through to deliver commercial analytics at scale in Pharma.
Pharmaceutical companies can leverage data science to determine patterns, test ideas and understand the effectiveness of treatments. Moreover, it helps in finding out the solution for the industries that need them. Data Science In Pharmaceutical industry can also help track sales efforts and offer feedback received during sales. Many pharmaceutical companies use data science to generate maximum benefits. At Root Facts, we offer advanced analytics that helps pharmaceutical companies to gain real advantage and build data models for turning insights to impact at scale.
Big Data and its Impact on Industry (Example of the Pharmaceutical Industry)Hellmuth Broda
While we bemoan the ever increasing data tsunami new technologies allow to harvest the gold nuggets in the hay stack.
Using the example of the Pharmaceutical Industry some of the possible business uses for Big Data Analitics are outlined.
Sutherland and International Institute for Analytics HIStalk Webinar - Charti...Sutherland Healthcare
The digital era is disrupting every industry and healthcare is no exception. Emerging technologies will introduce challenges and opportunities to transform operations and raise the bar of consumer experience. Success in this new era requires a new way of thinking, new skills, and new technologies to help your organization embrace digital health. This presentation demonstrates how to measure your organization's analytics maturity and design a strategy to digital transformation.
The three main objectives of this presentation are to show how to:
1) Leverage transformational design thinking methodologies to discover new opportunities, optimize existing operations, and improve experiences.
2) Measure and compare their organization's analytics maturity.
3) Develop a strategy for leveraging analytics and design thinking as a competitive differentiator
Predictive analytics uses historical data and machine learning to identify future trends and outcomes, helping businesses make better decisions. Data science plays a key role by collecting, analyzing, and modeling large datasets to build accurate predictive models. Pursuing a data science course offers hands-on training and networking opportunities to learn skills in high demand. It is important for data scientists to consider ethics and ensure predictions are used responsibly and for the benefit of society.
The document discusses applications of artificial intelligence in drug discovery and development. It begins with an introduction stating the overarching question of what AI applications exist and if it can make the process more efficient. It then outlines the structure of the document in answering sub-questions about what AI is, current approaches, breakthroughs, and challenges. Case studies are provided on startups like Atomwise that use AI for drug candidate generation and Phenomics AI for disease mechanism understanding. Challenges of AI include ethical concerns, regulatory hurdles, and technical obstacles but opportunities exist to make the process more efficient.
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Keynote: Harnessing the power of Elasticsearch for simplified searchElasticsearch
Get an overview of the innovation Elastic is bringing to the Enterprise Search landscape, and learn how you can harness these capabilities across your technology landscape to make the power of search work for you.
Cómo transformar los datos en análisis con los que tomar decisionesElasticsearch
Descubre las áreas de características estratégicas de Elastic Stack: Elasticsearch, un motor de datos inigualable y Kibana, la ventana que da acceso a Elastic Stack.
En la sesión hablaremos sobre:
Cómo incorporar datos a Elastic Stack
Almacenamiento de datos
Análisis de los datos
Actuar en función de los datos
Explore relève les défis Big Data avec Elastic Cloud Elasticsearch
Spécialisée dans le développement et la gestion de solutions de veille documentaire et commerciale, Explore offre à ses clients une lecture précise et organisée de l’actualités des marchés et projets sur leurs territoires d'intervention. Afin de rendre leur offre plus agile et performante, Explore a choisi l’offre Elastic Cloud hébergée sur Microsoft Azure. Découvrez comment les équipes de production et de développement sont désormais en mesure de mieux exploiter les données pour les clients d’Explore et gagnent du temps sur la gestion de leur infrastructure.
Comment transformer vos données en informations exploitablesElasticsearch
Découvrez des fonctionnalités stratégiques de la Suite Elastic, notamment Elasticsearch, un moteur de données incomparable, et Kibana, véritable fenêtre ouverte sur la Suite Elastic.
Dans cette session, vous apprendrez à :
injecter des données dans la Suite Elastic ;
stocker des données ;
analyser des données ;
exploiter des données.
Transforming data into actionable insightsElasticsearch
Learn about the strategic feature areas of the Elastic Stack—Elasticsearch, a data engine like no other, and Kibana, the window into the Elastic Stack.
The session will cover:
Bringing data into the Elastic Stack
Storing data
Analyzing data
Acting on data
"Elastic enables the world’s leading organization to exceed their business objectives and power their mission-critical systems by eliminating data silos, connecting the dots, and transforming data of all types into actionable insights.
Come learn how the power of search can help you quickly surface relevant insights at scale. Whether you are an executive looking to reduce operational costs, a department head striving to do more with fewer tools, or engineer monitoring and protecting your IT environment, this session is for you. "
Empowering agencies using Elastic as a Service inside GovernmentElasticsearch
It has now been four years since the beta release of Elastic Cloud Enterprise which kicked off a wave of the Elastic public sector community running Elastic as a service within Government rather than utilizing purely hosted solutions. Fast forward to 2021 and we have multiple options for multiple mission needs. Learn top tips from Elastic architects and their experience enabling their teams with the automation and provisioning of Elastic tech to change the game in how government delivers solutions.
The opportunities and challenges of data for public goodElasticsearch
The document discusses data for public good and the opportunities and challenges involved. It notes that data infrastructure is needed to deliver public good through data. There are almost endless opportunities to use data for public services, policy, and citizen benefits. However, challenges include legacy systems, data silos, unclear governance, and risk aversion. As a case study, it outlines how the UK Census 2021 addressed index faced challenges but showed progress on using data better, with lessons for continued public sector transformation.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...alexjohnson7307
Predictive maintenance is a proactive approach that anticipates equipment failures before they happen. At the forefront of this innovative strategy is Artificial Intelligence (AI), which brings unprecedented precision and efficiency. AI in predictive maintenance is transforming industries by reducing downtime, minimizing costs, and enhancing productivity.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
This presentation provides valuable insights into effective cost-saving techniques on AWS. Learn how to optimize your AWS resources by rightsizing, increasing elasticity, picking the right storage class, and choosing the best pricing model. Additionally, discover essential governance mechanisms to ensure continuous cost efficiency. Whether you are new to AWS or an experienced user, this presentation provides clear and practical tips to help you reduce your cloud costs and get the most out of your budget.
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...Tatiana Kojar
Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI.
With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
Trusted Execution Environment for Decentralized Process MiningLucaBarbaro3
Presentation of the paper "Trusted Execution Environment for Decentralized Process Mining" given during the CAiSE 2024 Conference in Cyprus on June 7, 2024.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
A Comprehensive Guide to DeFi Development Services in 2024Intelisync
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
A Comprehensive Guide to DeFi Development Services in 2024
Elastic as a Fundamental Core to Pfizer’s Scientific Data Cloud
1. 1
Jim Silva – Director
Kimberly Butler – Lead Data Engineer
3 October 2019, Pfizer, Inc.
Elastic as a Fundamental
Core to Pfizer’s Scientific
Data Cloud
2. 2
Our Purpose
Our Company
$53.6BILLION
in revenue in 2018
40MANUFACTURING
sites worldwide
MORE THAN
125COUNTRIES
in which Pfizer sells products
8PRODUCTS
with sales greater
than $1 billion in 2018
MORE THAN
180NEW R&D
COLLABORATIONS
in 2018
90,000
COLLEAGUES
around the world
3. 3
Worldwide Research and Development
Research and Development is at the heart of fulfilling Pfizer’s purpose
as we work to translate advanced science and technologies into
therapies that matter for patients in need.
We focus our resources in disease areas with the best chance of
scientific and commercial success:
Oncology Internal Medicine Inflammation
& Immunology
Vaccines Rare Disease
4. 4
Introduction to the Scientific Data Cloud (SDC)
Goals
• Accelerate timelines through exploratory analysis and predictive modelling
• Modeling helped to accelerate a previous project discovery and development project.
• Physical experiments can be avoided through data reuse enabling faster decisions
• Satisfy regulatory requirements for secure data retention
• Regulators expect immediate response to data requests and demonstration of audit trail
10. 10
Elastic Upgrade Remediation Plan
Upgrade from ELK version 5.3 to 6.4
1 2 3 4 5
Build ELK 6.4 Sandbox Rebuild Indices Run Queries Install Custom Kibana
Plugin and Import
Visualizations
Point Applications to
Sandbox