Healthcare and Life Sciences organizations are using data to generate knowledge that helps them provide better patient care, enhances biopharma research and development, and streamlines operations across the product innovation and care delivery continuum. Next-Gen business intelligence (BI) solutions can help organizations reduce time-to-insight by aggregating and analyzing structured and unstructured data sets in real or near-real time.
AWS and AWS Partner Network (APN) Partners offer technology solutions to help you gain data-driven insights to improve care, fuel innovation, and enhance business performance.
Wilson To gave a leadership session on innovation in healthcare at the HLC 2018 conference. The presentation covered how AWS is supporting healthcare through growing HIPAA-eligible services, advanced technology partners, and the AWS Healthcare Competency Center. It also discussed industry pressures and initiatives for both healthcare providers and payers, including the transition to value-based care and using data science for risk modeling. Examples were provided of customers like UPMC leveraging AWS for applications and data management.
Building IoT Devices for Regulated Industries (LFS304-i) - AWS re:Invent 2018Amazon Web Services
In this session, learn how to use AWS IoT services to build devices that can be used in regulated industries, like healthcare and pharma manufacturing. Come hear from AWS solution architects about how you can use the AWS IoT Core to enable your devices, services like AWS Greengrass to build devices that have local compute, messaging, data caching, sync, and machine learning inference capabilities and AWS IoT Analytics to run sophisticated analytics on massive volumes of IoT data without having to worry about all the cost and complexity typically required to build your own IoT analytics platform. You will also hear about how you can set up the fine-grained access control, auditability, and automated guardrails necessary for the creation and maintenance of regulated workloads following Good Laboratory, Clinical, and Manufacturing Practices (GxP) and other industry standards and ISOs.
In this session, AWS will cover our Shared Responsibility Model in relations to Security and our Compliance Program. Customers can expect to learn about how AWS works with customers to build solutions to secure their cloud-based environments. They will also come away with an understanding of our compliance program and what security assurances they inherit as customers
[NEW LAUNCH!] Introducing Amazon Comprehend Medical (AIM398) - AWS re:Invent ...Amazon Web Services
The document introduces Amazon Comprehend Medical, a new machine learning service that can extract medical information from unstructured text with high accuracy. It discusses how Comprehend Medical can help analyze large amounts of clinical notes and reports by identifying entities, relationships, and protected health information. Two customer use cases are presented: Fred Hutchinson Cancer Research Center uses it to gain insights from clinical trials, and Roche Diagnostics uses it to enhance data quality and clinical decision support.
Manufacturing Better Smiles with Neural Networks (HLC311) - AWS re:Invent 2018Amazon Web Services
Streamlining individual processes and shortening deployment times are key to bring efficiencies in manufacturing. This becomes even more critical in specialized products like dental implants. Dental offices need to deploy special equipment to address the complex processes of scanning, measuring, and milling that are expensive. In this chalk talk, you’ll hear from Glidewell Laboratories, a vertically integrated dental product provider specializing in crowns and implants. Glidewell is using AI/ML services from AWS to streamline and simplify the process of developing, manufacturing, and fitting crowns for patients. You’ll learn how Glidewell built and deployed a neural network to automatically generate new dental crown designs, enabling them to bypass multiple manual steps and simplify the process of developing, manufacturing, and fitting crowns for their patients. Learn how to adapt the process Glidewell has developed for manufacturing to shorten deployment times and provide positive business outcomes.
Equinix Big Data Platform and Cassandra - A view into the journeyPraveen Kumar
Story of building Big Data Platform in Equinix to cater a number of use cases. It explains journey and selection of Cassandra for NoSQL solution sitting in the heart of the platform. Storm , flume, AMQ, Drools, Solr technologies playing an important role in the platform. Platform processing large amounts of data in real-time.
Transforming Enterprise IT - AWS Transformation Day: Santa Clara 2018Amazon Web Services
As more and more enterprises start down the path of their digital transformation, the pressure on their IT organizations to support innovation across the business couldn’t be higher. In this session, we will outline a number of cutting edge technologies as well as an operating model that will allow IT to position itself as a business enabler and not a blocker. We will be sharing some mechanisms that will enable the IT organization to meet the pace of innovation that is being set by the business while giving them the flexibility to leverage existing assets.
About the Event:
AWS Transformation Day is designed for enterprise organizations migrating to the cloud to become more responsive, agile and innovative, while staying secure and compliant. Join us for this one-day event and we’ll share our experiences of helping enterprise customers accelerate the pace of migration and adoption of strategic services.
Who should attend?
This event is recommended for IT and business leaders who are looking to create sustainable benefits and a competitive advantage by using the AWS Cloud. CIOs, CTOs, CISOs, CDOs, CFOs, IT leaders and IT professionals, enterprise developers, business decision makers, and finance executives.
Wilson To gave a leadership session on innovation in healthcare at the HLC 2018 conference. The presentation covered how AWS is supporting healthcare through growing HIPAA-eligible services, advanced technology partners, and the AWS Healthcare Competency Center. It also discussed industry pressures and initiatives for both healthcare providers and payers, including the transition to value-based care and using data science for risk modeling. Examples were provided of customers like UPMC leveraging AWS for applications and data management.
Building IoT Devices for Regulated Industries (LFS304-i) - AWS re:Invent 2018Amazon Web Services
In this session, learn how to use AWS IoT services to build devices that can be used in regulated industries, like healthcare and pharma manufacturing. Come hear from AWS solution architects about how you can use the AWS IoT Core to enable your devices, services like AWS Greengrass to build devices that have local compute, messaging, data caching, sync, and machine learning inference capabilities and AWS IoT Analytics to run sophisticated analytics on massive volumes of IoT data without having to worry about all the cost and complexity typically required to build your own IoT analytics platform. You will also hear about how you can set up the fine-grained access control, auditability, and automated guardrails necessary for the creation and maintenance of regulated workloads following Good Laboratory, Clinical, and Manufacturing Practices (GxP) and other industry standards and ISOs.
In this session, AWS will cover our Shared Responsibility Model in relations to Security and our Compliance Program. Customers can expect to learn about how AWS works with customers to build solutions to secure their cloud-based environments. They will also come away with an understanding of our compliance program and what security assurances they inherit as customers
[NEW LAUNCH!] Introducing Amazon Comprehend Medical (AIM398) - AWS re:Invent ...Amazon Web Services
The document introduces Amazon Comprehend Medical, a new machine learning service that can extract medical information from unstructured text with high accuracy. It discusses how Comprehend Medical can help analyze large amounts of clinical notes and reports by identifying entities, relationships, and protected health information. Two customer use cases are presented: Fred Hutchinson Cancer Research Center uses it to gain insights from clinical trials, and Roche Diagnostics uses it to enhance data quality and clinical decision support.
Manufacturing Better Smiles with Neural Networks (HLC311) - AWS re:Invent 2018Amazon Web Services
Streamlining individual processes and shortening deployment times are key to bring efficiencies in manufacturing. This becomes even more critical in specialized products like dental implants. Dental offices need to deploy special equipment to address the complex processes of scanning, measuring, and milling that are expensive. In this chalk talk, you’ll hear from Glidewell Laboratories, a vertically integrated dental product provider specializing in crowns and implants. Glidewell is using AI/ML services from AWS to streamline and simplify the process of developing, manufacturing, and fitting crowns for patients. You’ll learn how Glidewell built and deployed a neural network to automatically generate new dental crown designs, enabling them to bypass multiple manual steps and simplify the process of developing, manufacturing, and fitting crowns for their patients. Learn how to adapt the process Glidewell has developed for manufacturing to shorten deployment times and provide positive business outcomes.
Equinix Big Data Platform and Cassandra - A view into the journeyPraveen Kumar
Story of building Big Data Platform in Equinix to cater a number of use cases. It explains journey and selection of Cassandra for NoSQL solution sitting in the heart of the platform. Storm , flume, AMQ, Drools, Solr technologies playing an important role in the platform. Platform processing large amounts of data in real-time.
Transforming Enterprise IT - AWS Transformation Day: Santa Clara 2018Amazon Web Services
As more and more enterprises start down the path of their digital transformation, the pressure on their IT organizations to support innovation across the business couldn’t be higher. In this session, we will outline a number of cutting edge technologies as well as an operating model that will allow IT to position itself as a business enabler and not a blocker. We will be sharing some mechanisms that will enable the IT organization to meet the pace of innovation that is being set by the business while giving them the flexibility to leverage existing assets.
About the Event:
AWS Transformation Day is designed for enterprise organizations migrating to the cloud to become more responsive, agile and innovative, while staying secure and compliant. Join us for this one-day event and we’ll share our experiences of helping enterprise customers accelerate the pace of migration and adoption of strategic services.
Who should attend?
This event is recommended for IT and business leaders who are looking to create sustainable benefits and a competitive advantage by using the AWS Cloud. CIOs, CTOs, CISOs, CDOs, CFOs, IT leaders and IT professionals, enterprise developers, business decision makers, and finance executives.
Leadership Session: Accelerating Transformation in the Life Sciences (LFS201-...Amazon Web Services
In this session, learn our vision for continued innovation in the life sciences industry and how AWS services can help. Gain insight into the key cloud computing trends for biotechnology, pharmaceutical, and medical device companies. Hear how you can use the AWS cloud to accelerate research, modernize clinical trials, build smarter manufacturing processes, and create deeper partnerships with healthcare providers and payers through real world evidence and digital therapeutics.
1. Cloud Adoption Journey reference framework to help Teams move to Cloud and become Cloud Native
2. Define basic Pillars to include Security & Compliance, Costs Optimization, Scalability and Performance as well as Operational Excellence, AWS Well-Architected as guidance
3. Goal is to assess and guide Companies/Teams in Portfolio to faster adopt and evolve Cloud concepts to focus on Business value
4. Governance as a key driver to boost flexibility, reduce risks and foster efficiency
5. Enterprise Transformation Architecture offerings
Implementare e gestire soluzioni per l'Internet of Things (IoT) in modo rapid...Amazon Web Services
AWS Summit Milan
Implementare e gestire soluzioni per l'Internet of Things (IoT) in modo rapido, sicuro e scalabile
Speaker: Michele Alessandrini, Solutions Architect AWS
Full Keynote Session- AWS Public Sector Summit Singapore 2017Amazon Web Services
The 2017 AWS Public Sector Summit in Singapore was opened by a Keynote address delivered by a line up of credible speakers from the Public Sector.
- Peter Moore, Regional Managing Director, Worldwide Public Sector, Asia Pacific and Japan, Amazon Web Services
- Mark Ryland, Director, Public Sector Solutions Architect, Amazon Web Services
- Mark Schwartz, Enterprise Strategist, Amazon Web Services
- Tan Eng Pheng, Senior Director, Clusters Group, GovTech Singapore
- Ng Siau Yong, Director, GeoSpatial and Data Division, Singapore Land Authority
- Swaine Chen, Senior Research Scientist, Genome Institute of Singapore
Leadership Session: The Future of Enterprise IT (ENT220-L) - AWS re:Invent 2018Amazon Web Services
The document discusses the future of enterprise IT and cloud computing. It notes that IT organizations are moving away from traditional monolithic applications towards microservices, containers, serverless computing, and machine learning. Companies are adopting a more product-centric model where small cross-functional teams focus on individual products and services. It also discusses how companies can build security into their processes from the start and train their workforce on cloud technologies.
The document discusses how data is a strategic asset for organizations and how moving data to the cloud can unlock innovation and accelerate change. It emphasizes that businesses need a data strategy to ensure data is managed and used as an asset. This involves defining requirements for data quality, quantity, and sources. Migrating data to the cloud allows businesses to realize benefits like cost savings, build analytics capabilities, and gain new insights from data lakes, IoT, and machine learning. Case studies provide examples of how companies have benefited from improved data strategies and analytics.
Cloud Procurement in Public Sector - Making It Work - AWS Public Sector Summi...Amazon Web Services
<Management Track>
Priya Singh, Business Development Capture Manager, APAC Public Sector, Amazon Web Services
Cloud procurement is unlike traditional technology purchasing. Public sector entities are accustomed strict procurement rules governing the purchase of physical hardware and related software. In this session, learn how to make procurement work according to your timeline and needs, so your organization can reap the full benefits of cloud.
Why Public Sector Customers are Moving to the Cloud: Benefits, Security, Cost...Amazon Web Services
<Management Track>
Brad Coughlan, APJ Head of Strategic Business Development, Public Sector, Amazon Web Services
In this session, we will cover the most common questions he answers when meeting with public sector customers across Asia Pacific and Japan. Why do public sector customers move to the cloud? What are the benefits? Is it secure? What are the barriers to adoption? And what does a typical public sector journey to the cloud look like? Find out what you, too, can do to get started.
Leadership Session: Telecom - Empowering Transformation at the Cusp of Radica...Amazon Web Services
The document summarizes a leadership panel discussion on empowering transformation in the telecom industry amid rapid technological advancement. The panel included executives from AWS, T-Systems, BT, Vodafone UK, and Verizon. They discussed how telecom companies can accelerate data center consolidation, enable 5G/IoT deployment, offer new services, improve customer experience through AI, and partner with technology providers to deploy cloud solutions. The AWS telecom leader then outlined capabilities around IT transformation, monetizing new platforms, customer growth, automation's impact, and engaging partners.
Transforming Enterprise IT - AWS Transformation Day 2018: DetroitAmazon Web Services
The document discusses transforming enterprise IT using cloud technologies. It notes that IT organizations have two main goals - reducing costs of current technology while also enabling business innovation. The document outlines how AWS, along with partners like Intel and VMware, can help enterprises develop hybrid cloud architectures to achieve these goals through services that provide security, flexibility and cost savings. It provides examples of how various industries are using AWS capabilities and services.
This document outlines a cloud migration plan with the following sections: executive summary, scope, cloud migration prerequisites, considerations, planning assessment tools, application discovery services, evaluation of discovered data, migration recommendations, and conclusion. The scope section defines cloud-ready applications as IaaS, SaaS, and PaaS and identifies the cloud provider as AWS. The document evaluates historical growth trends, outlines service level agreements, addresses data security, privacy and governance concerns, proposes a cloud vendor governance strategy, and analyzes the business and technical impacts of cloud migration.
Enterprise Cloud Adoption Survey ResultsEverest Group
Where are enterprises seeing value in the cloud, and in what stage are they in their cloud adoption? The Enterprise Cloud Adoption Survey set out to answer these questions and more, and after polling 346 executives from across cloud services buyers, providers and advisors, the results are in. Cloud adoption is extending beyond the "low-hanging fruit," but service providers and advisors aren't necessarily seeing eye-to-eye with buyers.
Accelerating AWS Migrations Through Agile Transformation (DEV202-S) - AWS re:...Amazon Web Services
With an increasingly software-based value chain, Sysco Foods has been aggressively moving its infrastructure to AWS in a bid to maintain competitive position against digitally native rivals. Critical to this transition has been a holistic agile and DevOps transformation, which has accelerated cloud adoption through an IT product, platform, and service team structure specifically designed to automate and consume AWS services. In this session, we share the key lessons learned on how agile transformation can accelerate AWS migrations, and the implications of cloud enablement on IT organizations, talent, and culture. This session is brought to you by AWS partner, Deloitte Consulting LLP.
Integra: Get Your Head in the Cloud (Infographic)Jessica Legg
Concepted, copywrote and creative directed the development of a cloud themed infographic as part of a larger campaign for Integra.
Summary: Picture a network of over 50M servers running at 200,000x the speed of a home Internet connection. The cloud lets you virtualize Infrastructure, Platforms, Software, etc., reducing costs, improving efficiencies, and increasing agility. Read Integra's infographic, "Get Your Head Into the Cloud," to learn why you should look to the skies.
The document discusses the importance of data and analytics for organizations. It notes that data is now the world's most valuable resource, not oil. It provides examples of how organizations are using AWS services like data lakes, machine learning, and data migration to unlock innovation from their data and gain strategic business advantages.
Achieving Business Value - Virtual Transformation Day Feb 2019Amazon Web Services
AWS Transformation Day is designed for enterprise organizations looking to make the move to the cloud in order to become more responsive, agile and innovative, while still staying secure and compliant. Join us for this virtual event and we'll share our experiences of helping enterprise customers accelerate the pace of migration and adoption of strategic services.
We recommend this event for IT and business leaders who are looking to create sustainable benefits and a competitive advantage by using the AWS Cloud.
Speaker: Michael Chu, Jake Burns
It is well understood by the enterprise that cloud computing enables companies to host applications, mission critical workloads, and special projects on infrastructure that is built and managed by a third-party provider such as AWS. However, many customers find themselves having a difficult time in assigning value to the benefits of the cloud. In this session we will introduce a framework that can be used to identify the impact of moving to the cloud and the business value around areas such as cost savings, staff productivity, operational resilience, and business agility.
DATAOPS: THE NEXT BIG WAVE ON YOUR DATA JOURNEY - Big Data Expowebwinkelvakdag
DataOps aims to align people, processes, and technology to enable more agile data management in support of business goals. It addresses challenges such as slow analytic velocity due to data engineering difficulties and new data governance demands. Hitachi Vantara's DataOps approach promises to deliver the right data to the right people at the right time through components like data engineering, integration, security, quality control, and monitoring processes. It leverages solutions like Pentaho for data integration and Hitachi Content Platform for data storage and management.
Fast Data Flow Is the Secret to Accelerating Digital TransformationDelphix
Want to disrupt a market? It’s time to address the flow of data in your enterprise, the foundation for accelerating innovation and delivering new customer experiences in today’s digital era.
Trends und Anwendungsbeispiele im Life Science BereichAWS Germany
This document provides an agenda and objectives for an AWS meeting at Cognizant in January 2017. It discusses challenges in the life sciences industry and trends in cloud adoption. It outlines Cognizant's AWS readiness, investments, applications in life sciences, and case studies. It then covers cloud services across the pharmaceutical value chain and discusses Cognizant's strategic relationship with AWS and their joint value proposition.
Real-World AI and Deep Learning for Enterprise with Case StudiesAmazon Web Services
Artificial Intelligence is here this time, to stay. For the Enterprise, AI materializes into solutions that improve customers' experiences by optimizing, automating, and personalizing high-volume tasks while lowering cost and time to market, therefore accelerating innovation. In this session, we cover AWS' AI products and services that enable innovation in the enterprise while maintaining compliance with different regimes such as HIPAA, PCI, and more. Finally, we discuss enterprise architectures on AWS for machine learning and deep learning workloads.
Pfizer's using of cloud to improve time to market, breadth of data, and employee utilization of RWD using AWS cloud. Faster, Broader, and Cheaper. Presentation from AWS re:Invent
Enabling Patient Centricity for Pfizer through AWS Cloud (LFS301-S-i) - AWS r...Amazon Web Services
Pfizer needed the ability to perform rapid analysis on its set of real-world evidence (RWE) data to improve patient outcomes, but its existing platform could not scale and meet its objectives. Pfizer collaborated with Deloitte to transform its real-world data and analytics capabilities that maximize insights and avoid duplicative investments by migrating their existing RWE data and analytics environment to the AWS Cloud. Learn how these strategies for planning, executing, and validating the success of these capabilities helped position Pfizer to use the AWS Cloud environment as the cornerstone of its patient-centric analytics to expand and incorporate new AI/ML capabilities, such as Amazon SageMaker. This session is brought to you by AWS partner, Deloitte Consulting LLP.
Leadership Session: Accelerating Transformation in the Life Sciences (LFS201-...Amazon Web Services
In this session, learn our vision for continued innovation in the life sciences industry and how AWS services can help. Gain insight into the key cloud computing trends for biotechnology, pharmaceutical, and medical device companies. Hear how you can use the AWS cloud to accelerate research, modernize clinical trials, build smarter manufacturing processes, and create deeper partnerships with healthcare providers and payers through real world evidence and digital therapeutics.
1. Cloud Adoption Journey reference framework to help Teams move to Cloud and become Cloud Native
2. Define basic Pillars to include Security & Compliance, Costs Optimization, Scalability and Performance as well as Operational Excellence, AWS Well-Architected as guidance
3. Goal is to assess and guide Companies/Teams in Portfolio to faster adopt and evolve Cloud concepts to focus on Business value
4. Governance as a key driver to boost flexibility, reduce risks and foster efficiency
5. Enterprise Transformation Architecture offerings
Implementare e gestire soluzioni per l'Internet of Things (IoT) in modo rapid...Amazon Web Services
AWS Summit Milan
Implementare e gestire soluzioni per l'Internet of Things (IoT) in modo rapido, sicuro e scalabile
Speaker: Michele Alessandrini, Solutions Architect AWS
Full Keynote Session- AWS Public Sector Summit Singapore 2017Amazon Web Services
The 2017 AWS Public Sector Summit in Singapore was opened by a Keynote address delivered by a line up of credible speakers from the Public Sector.
- Peter Moore, Regional Managing Director, Worldwide Public Sector, Asia Pacific and Japan, Amazon Web Services
- Mark Ryland, Director, Public Sector Solutions Architect, Amazon Web Services
- Mark Schwartz, Enterprise Strategist, Amazon Web Services
- Tan Eng Pheng, Senior Director, Clusters Group, GovTech Singapore
- Ng Siau Yong, Director, GeoSpatial and Data Division, Singapore Land Authority
- Swaine Chen, Senior Research Scientist, Genome Institute of Singapore
Leadership Session: The Future of Enterprise IT (ENT220-L) - AWS re:Invent 2018Amazon Web Services
The document discusses the future of enterprise IT and cloud computing. It notes that IT organizations are moving away from traditional monolithic applications towards microservices, containers, serverless computing, and machine learning. Companies are adopting a more product-centric model where small cross-functional teams focus on individual products and services. It also discusses how companies can build security into their processes from the start and train their workforce on cloud technologies.
The document discusses how data is a strategic asset for organizations and how moving data to the cloud can unlock innovation and accelerate change. It emphasizes that businesses need a data strategy to ensure data is managed and used as an asset. This involves defining requirements for data quality, quantity, and sources. Migrating data to the cloud allows businesses to realize benefits like cost savings, build analytics capabilities, and gain new insights from data lakes, IoT, and machine learning. Case studies provide examples of how companies have benefited from improved data strategies and analytics.
Cloud Procurement in Public Sector - Making It Work - AWS Public Sector Summi...Amazon Web Services
<Management Track>
Priya Singh, Business Development Capture Manager, APAC Public Sector, Amazon Web Services
Cloud procurement is unlike traditional technology purchasing. Public sector entities are accustomed strict procurement rules governing the purchase of physical hardware and related software. In this session, learn how to make procurement work according to your timeline and needs, so your organization can reap the full benefits of cloud.
Why Public Sector Customers are Moving to the Cloud: Benefits, Security, Cost...Amazon Web Services
<Management Track>
Brad Coughlan, APJ Head of Strategic Business Development, Public Sector, Amazon Web Services
In this session, we will cover the most common questions he answers when meeting with public sector customers across Asia Pacific and Japan. Why do public sector customers move to the cloud? What are the benefits? Is it secure? What are the barriers to adoption? And what does a typical public sector journey to the cloud look like? Find out what you, too, can do to get started.
Leadership Session: Telecom - Empowering Transformation at the Cusp of Radica...Amazon Web Services
The document summarizes a leadership panel discussion on empowering transformation in the telecom industry amid rapid technological advancement. The panel included executives from AWS, T-Systems, BT, Vodafone UK, and Verizon. They discussed how telecom companies can accelerate data center consolidation, enable 5G/IoT deployment, offer new services, improve customer experience through AI, and partner with technology providers to deploy cloud solutions. The AWS telecom leader then outlined capabilities around IT transformation, monetizing new platforms, customer growth, automation's impact, and engaging partners.
Transforming Enterprise IT - AWS Transformation Day 2018: DetroitAmazon Web Services
The document discusses transforming enterprise IT using cloud technologies. It notes that IT organizations have two main goals - reducing costs of current technology while also enabling business innovation. The document outlines how AWS, along with partners like Intel and VMware, can help enterprises develop hybrid cloud architectures to achieve these goals through services that provide security, flexibility and cost savings. It provides examples of how various industries are using AWS capabilities and services.
This document outlines a cloud migration plan with the following sections: executive summary, scope, cloud migration prerequisites, considerations, planning assessment tools, application discovery services, evaluation of discovered data, migration recommendations, and conclusion. The scope section defines cloud-ready applications as IaaS, SaaS, and PaaS and identifies the cloud provider as AWS. The document evaluates historical growth trends, outlines service level agreements, addresses data security, privacy and governance concerns, proposes a cloud vendor governance strategy, and analyzes the business and technical impacts of cloud migration.
Enterprise Cloud Adoption Survey ResultsEverest Group
Where are enterprises seeing value in the cloud, and in what stage are they in their cloud adoption? The Enterprise Cloud Adoption Survey set out to answer these questions and more, and after polling 346 executives from across cloud services buyers, providers and advisors, the results are in. Cloud adoption is extending beyond the "low-hanging fruit," but service providers and advisors aren't necessarily seeing eye-to-eye with buyers.
Accelerating AWS Migrations Through Agile Transformation (DEV202-S) - AWS re:...Amazon Web Services
With an increasingly software-based value chain, Sysco Foods has been aggressively moving its infrastructure to AWS in a bid to maintain competitive position against digitally native rivals. Critical to this transition has been a holistic agile and DevOps transformation, which has accelerated cloud adoption through an IT product, platform, and service team structure specifically designed to automate and consume AWS services. In this session, we share the key lessons learned on how agile transformation can accelerate AWS migrations, and the implications of cloud enablement on IT organizations, talent, and culture. This session is brought to you by AWS partner, Deloitte Consulting LLP.
Integra: Get Your Head in the Cloud (Infographic)Jessica Legg
Concepted, copywrote and creative directed the development of a cloud themed infographic as part of a larger campaign for Integra.
Summary: Picture a network of over 50M servers running at 200,000x the speed of a home Internet connection. The cloud lets you virtualize Infrastructure, Platforms, Software, etc., reducing costs, improving efficiencies, and increasing agility. Read Integra's infographic, "Get Your Head Into the Cloud," to learn why you should look to the skies.
The document discusses the importance of data and analytics for organizations. It notes that data is now the world's most valuable resource, not oil. It provides examples of how organizations are using AWS services like data lakes, machine learning, and data migration to unlock innovation from their data and gain strategic business advantages.
Achieving Business Value - Virtual Transformation Day Feb 2019Amazon Web Services
AWS Transformation Day is designed for enterprise organizations looking to make the move to the cloud in order to become more responsive, agile and innovative, while still staying secure and compliant. Join us for this virtual event and we'll share our experiences of helping enterprise customers accelerate the pace of migration and adoption of strategic services.
We recommend this event for IT and business leaders who are looking to create sustainable benefits and a competitive advantage by using the AWS Cloud.
Speaker: Michael Chu, Jake Burns
It is well understood by the enterprise that cloud computing enables companies to host applications, mission critical workloads, and special projects on infrastructure that is built and managed by a third-party provider such as AWS. However, many customers find themselves having a difficult time in assigning value to the benefits of the cloud. In this session we will introduce a framework that can be used to identify the impact of moving to the cloud and the business value around areas such as cost savings, staff productivity, operational resilience, and business agility.
DATAOPS: THE NEXT BIG WAVE ON YOUR DATA JOURNEY - Big Data Expowebwinkelvakdag
DataOps aims to align people, processes, and technology to enable more agile data management in support of business goals. It addresses challenges such as slow analytic velocity due to data engineering difficulties and new data governance demands. Hitachi Vantara's DataOps approach promises to deliver the right data to the right people at the right time through components like data engineering, integration, security, quality control, and monitoring processes. It leverages solutions like Pentaho for data integration and Hitachi Content Platform for data storage and management.
Fast Data Flow Is the Secret to Accelerating Digital TransformationDelphix
Want to disrupt a market? It’s time to address the flow of data in your enterprise, the foundation for accelerating innovation and delivering new customer experiences in today’s digital era.
Trends und Anwendungsbeispiele im Life Science BereichAWS Germany
This document provides an agenda and objectives for an AWS meeting at Cognizant in January 2017. It discusses challenges in the life sciences industry and trends in cloud adoption. It outlines Cognizant's AWS readiness, investments, applications in life sciences, and case studies. It then covers cloud services across the pharmaceutical value chain and discusses Cognizant's strategic relationship with AWS and their joint value proposition.
Real-World AI and Deep Learning for Enterprise with Case StudiesAmazon Web Services
Artificial Intelligence is here this time, to stay. For the Enterprise, AI materializes into solutions that improve customers' experiences by optimizing, automating, and personalizing high-volume tasks while lowering cost and time to market, therefore accelerating innovation. In this session, we cover AWS' AI products and services that enable innovation in the enterprise while maintaining compliance with different regimes such as HIPAA, PCI, and more. Finally, we discuss enterprise architectures on AWS for machine learning and deep learning workloads.
Pfizer's using of cloud to improve time to market, breadth of data, and employee utilization of RWD using AWS cloud. Faster, Broader, and Cheaper. Presentation from AWS re:Invent
Enabling Patient Centricity for Pfizer through AWS Cloud (LFS301-S-i) - AWS r...Amazon Web Services
Pfizer needed the ability to perform rapid analysis on its set of real-world evidence (RWE) data to improve patient outcomes, but its existing platform could not scale and meet its objectives. Pfizer collaborated with Deloitte to transform its real-world data and analytics capabilities that maximize insights and avoid duplicative investments by migrating their existing RWE data and analytics environment to the AWS Cloud. Learn how these strategies for planning, executing, and validating the success of these capabilities helped position Pfizer to use the AWS Cloud environment as the cornerstone of its patient-centric analytics to expand and incorporate new AI/ML capabilities, such as Amazon SageMaker. This session is brought to you by AWS partner, Deloitte Consulting LLP.
OSEHRA is a Great Business Opportunity for Systems IntegratorsShahid Shah
This is an opinionated look at why current health IT systems integrate poorly and how it’s a big opportunity for the systems integrators to profit from supporting the OSEHRA Community.
Background:
* EHRs are not the center of the healthcare data ecosystem.
* Applications come and go, data lives forever. He who owns, integrates, and uses data wins in the end.
* Never leave data in the hands of the application only.
Key takeaways:
* OSEHRA is major business opportunity for ISVs and systems integrators
* There’s nothing special about health IT data that justifies complex, expensive, or special technology.
Data Is the New Strategic Asset in M&As: Is Ripping and Replacing EHRs Really...Health Catalyst
In this webinar, Tim and Dale, who worked together at Northwestern Medicine to establish an early-on and leading enterprise data warehouse solution for the hospital, physicians and medical school, will present their unique perspectives creating a thoughtful environment of comparison and contrast. This won’t be a typical corporate dozer—rather it will provide an opportunity for you to think deeply about the novel nature of your organization’s data. Historically, hospital expansion by building a larger footprint was the way to scale and capture market share. While those things still matter, attention has shifted to the expansion of the distribution of care through virtual and physical access points that embody a far more consumer friendly means to deliver care. It is in those entities that enriched data can be used to deliver care outreach that actually makes a difference for patients. That is where the new margins exist.
We are a technology-led healthcare solutions provider. We combine deep industry expertise with fit-for-purpose technology in an agile and scalable operating model. Many of the leading global healthcare organizations rely on us to deliver effective and efficient clinical, medical, and commercial outcomes every day. From strategy to execution, we enable healthcare organizations be future ready.
Harnessing the Power of Healthcare Data: Are We There YetHealth Catalyst
What can healthcare learn from Formula One racing? According to Dr. Sadiqa Mahmood, SVP of medical affairs and life sciences for Health Catalyst, race support teams leverage about 30TB of baseline data to create a digital twin of the car, track, and racer for simulation models that drive decisions at each race. Applied in the healthcare setting, a digital twin can help clinicians better understand each patient and their health conditions and circumstances in real time and make comprehensive, informed care decisions. But for the healthcare digital twin to happen, the industry must move away from data silos and towards a digital learning healthcare ecosystem.
ABD209_Accelerating the Speed of Innovation with a Data Sciences Data & Analy...Amazon Web Services
"Historically, silos of data, analytics, and processes across functions, stages of development, and geography created a barrier to R&D efficiency. Gathering the right data necessary for decision-making was challenging due to issues of accessibility, trust, and timeliness. In this session, learn how Takeda is undergoing a transformation in R&D to increase the speed-to-market of high-impact therapies to improve patient lives. The Data and Analytics Hub was built, with Deloitte, to address these issues and support the efficient generation of data insights for functions such as clinical operations, clinical development, medical affairs, portfolio management, and R&D finance. In the AWS hosted data lake, this data is processed, integrated, and made available to business end users through data visualization interfaces, and to data scientists through direct connectivity. Learn how Takeda has achieved significant time reductions—from weeks to minutes—to gather and provision data that has the potential to reduce cycle times in drug development. The hub also enables more efficient operations and alignment to achieve product goals through cross functional team accountability and collaboration due to the ability to access the same cross domain data.
Session sponsored by Deloitte"
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.
AI and the Future of Clinical Research - CDISC 2020 US InterchangeRyan Tubbs
This document provides information about a virtual CDISC 2020 US Interchange event on October 7-8, 2020. It includes a disclaimer noting the views expressed do not necessarily reflect CDISC's official policy. The remainder summarizes a presentation by Ryan Tubbs on AI and the future of clinical research, including how Microsoft's cloud platform can provide scalable, flexible, and compliant access to diverse health data sources to enable data sharing and further innovation across the clinical research value chain. It outlines Microsoft's principles for responsible AI and discusses how various data sets could be used to power AI for health and life sciences.
Microsoft: A Waking Giant in Healthcare Analytics and Big DataDale Sanders
Ten years ago, critics didn’t believe that Microsoft could scale in the second generation of relational data warehouses, but they did. More recently, many of these same pundits have criticized Microsoft for missing the technology wave du jour in cloud offerings, mobile technology, and big data. But, once again, Microsoft has been quietly reengineering its culture and products, and as a result, they now offer the best value and most visionary platform for cloud services, big data, and analytics in healthcare.
Data Collaboration in Healthcare -- presented at VLDB 2018Anand Deshpande
These are the slides from my VLDB 2018 presentation.
Shares what we are doing in healthcare and also shares research opportunities in data and healthcare.
This document discusses improving medication adherence through a credit-based system and app store called IMPACTMeds. It describes IMPACTMeds as a platform that would provide patients credits to access adherence solutions from a marketplace. These solutions, like reminders and counseling, are provided by third parties and integrated through the IMPACTMeds platform. The platform would also collect health data to generate reports on return on investment for insurers, manufacturers, and others interested in improving adherence. It seeks seed funding to further develop partnerships, pilots, and the technology platform.
Microsoft: A Waking Giant In Healthcare Analytics and Big DataHealth Catalyst
In 2005, Northwestern Memorial Healthcare embarked upon a strategic Enterprise Data Warehousing (EDW) initiative with the Microsoft technology platform as the foundation. Dale Sanders was CIO at Northwestern and led the development of Northwestern’s Microsoft-based EDW. At that time, Microsoft as an EDW platform was not en vogue and there were many who doubted the success of the Northwestern project. While other organizations were spending millions of dollars and years developing EDW’s and analytics on other platforms, Northwestern achieved great and rapid value at a fraction of the cost of the more typical technology platforms. Now, there are more healthcare data warehouses built around Microsoft products than any other vendor. The risky bet on Microsoft in 2005 paid off.
Ten years ago, critics didn’t believe that Microsoft could scale in the second generation of relational data warehouses, but they did. More recently, many of these same pundits have criticized Microsoft for missing the technology wave du jour in cloud offerings, mobile technology, and big data. But, once again, Microsoft has been quietly reengineering its culture and products, and as a result, they now offer the best value and most visionary platform for cloud services, big data, and analytics in healthcare.
In this context, Dale will talk about:
His up and down journey with Microsoft as an Air Force and healthcare CIO, and why he is now more bullish on Microsoft like never before
A quick review of the Healthcare Analytics Adoption Model and Closed Loop Analytics in healthcare, and how Microsoft products relate to both
The rise of highly specialized, cloud-based analytic services and their value to healthcare organizations’ analytics strategies
Microsoft’s transformation from a closed-system, desktop PC company to an open-system consumer and business infrastructure company
The current transition period of enterprise data warehouses between the decline of relational databases and the rise of non-relational databases, and the new Microsoft products, notably Azure and the Analytic Platform System (APS), that bridge the transition of skills and technology while still integrating with core products like Office, Active Directory, and System Center
Microsoft’s strategy with its PowerX product line, and geospatial analysis and machine learning visualization tools
Cloud-Based Open-Platform Data Solutions: The Best Way to Meet Today’s Growin...Health Catalyst
This document discusses the benefits of cloud-based, open-platform data solutions and analytics as a service (AaaS) for meeting growing health data demands. Traditional on-premises data warehouses lack scalability, elasticity, and analytical agility needed today. Cloud-based solutions allow data from multiple sources to be integrated in real-time and deliver insights when needed. This approach facilitates rapid application development using real-time data, domain-specific analytics, and open APIs. While healthcare has been slow to adopt cloud technologies, utilization is increasing as security concerns are addressed and offerings mature.
CSNI: How State Medicaid Agencies Can Use Analytics to Predict Opioid Abuse a...Seeling Cheung
This document discusses how state Medicaid agencies can use analytics to improve outcomes. It describes CNSI, a company that provides cloud platforms and analytics solutions for Medicaid. CNSI uses IBM technologies like Watson Explorer and Cognos to help clients with predictive modeling, claims analysis, and consolidating member data from multiple sources. Examples of CNSI projects include using text analytics to automate medical record reviews, building models to predict at-risk members for opioid abuse, and creating 360-degree views of member data. The presentation outlines CNSI's approach and provides a roadmap for continued use of analytics.
Using Advanced Analytics for Value-based Healthcare DeliveryMichael Joseph
Promoting Value-based Healthcare Delivery
The fundamental principles of the Affordable Care Act recognize that the volume-based, fee-for-service payment model is unsustainable and that a value-based healthcare delivery system is essential. With the emergence of Accountable Care Organizations (ACOs), providers are incentivized to implement payment reforms and participate in shared savings programs that seek to balance quality of care, access to care and cost of care.
Our healthcare analytics payment model uses predictive analytics to assist ACOs in patient attribution, budget development, bench-marking and performance monitoring to maximize incentives through shared savings and quality improvements.
Solving the Data Management Challenge for HealthcareDelphix
Need a proven blueprint to fast-track application development in your healthcare organization? With triple-digit growth, 3,000+ databases and over a petabyte of data, Molina Healthcare needed a way to accelerate application development and drive digital transformation.
Success meant slashing time to provision new dev and test environments in half, putting self-service data access in the hands of application teams―and doing it all without taking an eye off data security and HIPAA compliance.
A look at the key trends and challenges in applying Big Data to transform healthcare by supporting research, self care, providers and building ecosystems. Purchase the report here: https://gumroad.com/l/PlXP
We are a digital-first, life sciences commercialization company. We help biopharmaceutical, emerging biotech and medical device companies develop products, get them to the market, and grow their impact through the life cycle in a more effective, efficient, and modern way. We bring together healthcare domain expertise, fit-for-purpose technology, and an agile operating model to provide a diverse range of solutions. These aim to deliver, amongst other outcomes, a personalized, scalable and omnichannel experience for patients and physicians. It’s what drives our team and our purpose to enable healthcare organizations to be future ready.
Similar to Next-Gen BI for Healthcare and Life Sciences on AWS (20)
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Amazon Web Services
Il Forecasting è un processo importante per tantissime aziende e viene utilizzato in vari ambiti per cercare di prevedere in modo accurato la crescita e distribuzione di un prodotto, l’utilizzo delle risorse necessarie nelle linee produttive, presentazioni finanziarie e tanto altro. Amazon utilizza delle tecniche avanzate di forecasting, in parte questi servizi sono stati messi a disposizione di tutti i clienti AWS.
In questa sessione illustreremo come pre-processare i dati che contengono una componente temporale e successivamente utilizzare un algoritmo che a partire dal tipo di dato analizzato produce un forecasting accurato.
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Amazon Web Services
La varietà e la quantità di dati che si crea ogni giorno accelera sempre più velocemente e rappresenta una opportunità irripetibile per innovare e creare nuove startup.
Tuttavia gestire grandi quantità di dati può apparire complesso: creare cluster Big Data su larga scala sembra essere un investimento accessibile solo ad aziende consolidate. Ma l’elasticità del Cloud e, in particolare, i servizi Serverless ci permettono di rompere questi limiti.
Vediamo quindi come è possibile sviluppare applicazioni Big Data rapidamente, senza preoccuparci dell’infrastruttura, ma dedicando tutte le risorse allo sviluppo delle nostre le nostre idee per creare prodotti innovativi.
Ora puoi utilizzare Amazon Elastic Kubernetes Service (EKS) per eseguire pod Kubernetes su AWS Fargate, il motore di elaborazione serverless creato per container su AWS. Questo rende più semplice che mai costruire ed eseguire le tue applicazioni Kubernetes nel cloud AWS.In questa sessione presenteremo le caratteristiche principali del servizio e come distribuire la tua applicazione in pochi passaggi
Vent'anni fa Amazon ha attraversato una trasformazione radicale con l'obiettivo di aumentare il ritmo dell'innovazione. In questo periodo abbiamo imparato come cambiare il nostro approccio allo sviluppo delle applicazioni ci ha permesso di aumentare notevolmente l'agilità, la velocità di rilascio e, in definitiva, ci ha consentito di creare applicazioni più affidabili e scalabili. In questa sessione illustreremo come definiamo le applicazioni moderne e come la creazione di app moderne influisce non solo sull'architettura dell'applicazione, ma sulla struttura organizzativa, sulle pipeline di rilascio dello sviluppo e persino sul modello operativo. Descriveremo anche approcci comuni alla modernizzazione, compreso l'approccio utilizzato dalla stessa Amazon.com.
Come spendere fino al 90% in meno con i container e le istanze spot Amazon Web Services
L’utilizzo dei container è in continua crescita.
Se correttamente disegnate, le applicazioni basate su Container sono molto spesso stateless e flessibili.
I servizi AWS ECS, EKS e Kubernetes su EC2 possono sfruttare le istanze Spot, portando ad un risparmio medio del 70% rispetto alle istanze On Demand. In questa sessione scopriremo insieme quali sono le caratteristiche delle istanze Spot e come possono essere utilizzate facilmente su AWS. Impareremo inoltre come Spreaker sfrutta le istanze spot per eseguire applicazioni di diverso tipo, in produzione, ad una frazione del costo on-demand!
In recent months, many customers have been asking us the question – how to monetise Open APIs, simplify Fintech integrations and accelerate adoption of various Open Banking business models. Therefore, AWS and FinConecta would like to invite you to Open Finance marketplace presentation on October 20th.
Event Agenda :
Open banking so far (short recap)
• PSD2, OB UK, OB Australia, OB LATAM, OB Israel
Intro to Open Finance marketplace
• Scope
• Features
• Tech overview and Demo
The role of the Cloud
The Future of APIs
• Complying with regulation
• Monetizing data / APIs
• Business models
• Time to market
One platform for all: a Strategic approach
Q&A
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Amazon Web Services
Per creare valore e costruire una propria offerta differenziante e riconoscibile, le startup di successo sanno come combinare tecnologie consolidate con componenti innovativi creati ad hoc.
AWS fornisce servizi pronti all'utilizzo e, allo stesso tempo, permette di personalizzare e creare gli elementi differenzianti della propria offerta.
Concentrandoci sulle tecnologie di Machine Learning, vedremo come selezionare i servizi di intelligenza artificiale offerti da AWS e, anche attraverso una demo, come costruire modelli di Machine Learning personalizzati utilizzando SageMaker Studio.
OpsWorks Configuration Management: automatizza la gestione e i deployment del...Amazon Web Services
Con l'approccio tradizionale al mondo IT per molti anni è stato difficile implementare tecniche di DevOps, che finora spesso hanno previsto attività manuali portando di tanto in tanto a dei downtime degli applicativi interrompendo l'operatività dell'utente. Con l'avvento del cloud, le tecniche di DevOps sono ormai a portata di tutti a basso costo per qualsiasi genere di workload, garantendo maggiore affidabilità del sistema e risultando in dei significativi miglioramenti della business continuity.
AWS mette a disposizione AWS OpsWork come strumento di Configuration Management che mira ad automatizzare e semplificare la gestione e i deployment delle istanze EC2 per mezzo di workload Chef e Puppet.
Scopri come sfruttare AWS OpsWork a garanzia e affidabilità del tuo applicativo installato su Instanze EC2.
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsAmazon Web Services
Vuoi conoscere le opzioni per eseguire Microsoft Active Directory su AWS? Quando si spostano carichi di lavoro Microsoft in AWS, è importante considerare come distribuire Microsoft Active Directory per supportare la gestione, l'autenticazione e l'autorizzazione dei criteri di gruppo. In questa sessione, discuteremo le opzioni per la distribuzione di Microsoft Active Directory su AWS, incluso AWS Directory Service per Microsoft Active Directory e la distribuzione di Active Directory su Windows su Amazon Elastic Compute Cloud (Amazon EC2). Trattiamo argomenti quali l'integrazione del tuo ambiente Microsoft Active Directory locale nel cloud e l'utilizzo di applicazioni SaaS, come Office 365, con AWS Single Sign-On.
Dal riconoscimento facciale al riconoscimento di frodi o difetti di fabbricazione, l'analisi di immagini e video che sfruttano tecniche di intelligenza artificiale, si stanno evolvendo e raffinando a ritmi elevati. In questo webinar esploreremo le possibilità messe a disposizione dai servizi AWS per applicare lo stato dell'arte delle tecniche di computer vision a scenari reali.
Amazon Web Services e VMware organizzano un evento virtuale gratuito il prossimo mercoledì 14 Ottobre dalle 12:00 alle 13:00 dedicato a VMware Cloud ™ on AWS, il servizio on demand che consente di eseguire applicazioni in ambienti cloud basati su VMware vSphere® e di accedere ad una vasta gamma di servizi AWS, sfruttando a pieno le potenzialità del cloud AWS e tutelando gli investimenti VMware esistenti.
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
Crea la tua prima serverless ledger-based app con QLDB e NodeJSAmazon Web Services
Molte aziende oggi, costruiscono applicazioni con funzionalità di tipo ledger ad esempio per verificare lo storico di accrediti o addebiti nelle transazioni bancarie o ancora per tenere traccia del flusso supply chain dei propri prodotti.
Alla base di queste soluzioni ci sono i database ledger che permettono di avere un log delle transazioni trasparente, immutabile e crittograficamente verificabile, ma sono strumenti complessi e onerosi da gestire.
Amazon QLDB elimina la necessità di costruire sistemi personalizzati e complessi fornendo un database ledger serverless completamente gestito.
In questa sessione scopriremo come realizzare un'applicazione serverless completa che utilizzi le funzionalità di QLDB.
Con l’ascesa delle architetture di microservizi e delle ricche applicazioni mobili e Web, le API sono più importanti che mai per offrire agli utenti finali una user experience eccezionale. In questa sessione impareremo come affrontare le moderne sfide di progettazione delle API con GraphQL, un linguaggio di query API open source utilizzato da Facebook, Amazon e altro e come utilizzare AWS AppSync, un servizio GraphQL serverless gestito su AWS. Approfondiremo diversi scenari, comprendendo come AppSync può aiutare a risolvere questi casi d’uso creando API moderne con funzionalità di aggiornamento dati in tempo reale e offline.
Inoltre, impareremo come Sky Italia utilizza AWS AppSync per fornire aggiornamenti sportivi in tempo reale agli utenti del proprio portale web.
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareAmazon Web Services
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
In queste slide, gli esperti AWS e VMware presentano semplici e pratici accorgimenti per facilitare e semplificare la migrazione dei carichi di lavoro Oracle accelerando la trasformazione verso il cloud, approfondiranno l’architettura e dimostreranno come sfruttare a pieno le potenzialità di VMware Cloud ™ on AWS.
1) The document discusses building a minimum viable product (MVP) using Amazon Web Services (AWS).
2) It provides an example of an MVP for an omni-channel messenger platform that was built from 2017 to connect ecommerce stores to customers via web chat, Facebook Messenger, WhatsApp, and other channels.
3) The founder discusses how they started with an MVP in 2017 with 200 ecommerce stores in Hong Kong and Taiwan, and have since expanded to over 5000 clients across Southeast Asia using AWS for scaling.
This document discusses pitch decks and fundraising materials. It explains that venture capitalists will typically spend only 3 minutes and 44 seconds reviewing a pitch deck. Therefore, the deck needs to tell a compelling story to grab their attention. It also provides tips on tailoring different types of decks for different purposes, such as creating a concise 1-2 page teaser, a presentation deck for pitching in-person, and a more detailed read-only or fundraising deck. The document stresses the importance of including key information like the problem, solution, product, traction, market size, plans, team, and ask.
This document discusses building serverless web applications using AWS services like API Gateway, Lambda, DynamoDB, S3 and Amplify. It provides an overview of each service and how they can work together to create a scalable, secure and cost-effective serverless application stack without having to manage servers or infrastructure. Key services covered include API Gateway for hosting APIs, Lambda for backend logic, DynamoDB for database needs, S3 for static content, and Amplify for frontend hosting and continuous deployment.
This document provides tips for fundraising from startup founders Roland Yau and Sze Lok Chan. It discusses generating competition to create urgency for investors, fundraising in parallel rather than sequentially, having a clear fundraising narrative focused on what you do and why it's compelling, and prioritizing relationships with people over firms. It also notes how the pandemic has changed fundraising, with examples of deals done virtually during this time. The tips emphasize being fully prepared before fundraising and cultivating connections with investors in advance.
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...Amazon Web Services
This document discusses Amazon's machine learning services for building conversational interfaces and extracting insights from unstructured text and audio. It describes Amazon Lex for creating chatbots, Amazon Comprehend for natural language processing tasks like entity extraction and sentiment analysis, and how they can be used together for applications like intelligent call centers and content analysis. Pre-trained APIs simplify adding machine learning to apps without requiring ML expertise.
Amazon Elastic Container Service (Amazon ECS) è un servizio di gestione dei container altamente scalabile, che semplifica la gestione dei contenitori Docker attraverso un layer di orchestrazione per il controllo del deployment e del relativo lifecycle. In questa sessione presenteremo le principali caratteristiche del servizio, le architetture di riferimento per i differenti carichi di lavoro e i semplici passi necessari per poter velocemente migrare uno o più dei tuo container.
26. Today’s Biggest Challenges for Healthcare Providers
Providers must deliver better quality care at a lower cost
Downward
pressure on
reimbursements
New mandates by payors
for quality tracking &
performance metrics
Increasing competition from
existing and new entrants
29. Real-World Challenge: Utilization
$1.5 – $2.5 billion wasted per year on
inappropriate & unnecessary blood
transfusions
$2.1 – $2.5 billion of healthcare costs
spent each year on unnecessary lab
testing
Over Utilization is Costing Healthcare
32. Previous State:
Strained Resources, Outdated Results & Diminished Service
32
Static Reports and
Spreadsheets
Business Analyst
Business Analyst
Business Analyst
Old Data
Old Data
Old Data
33. Current State:
Efficient Processes, Real-time Visibility & Better Outcomes
33
Real-Time Data Visualization
and Drill Down Insights
Real-Time Data
Real-Time Data
Real-Time Data
38. 38
The Problem
Free T4 vs. Total T4
Free T4 is a better indication of the clinical
picture
39. 39
Communication Challenge
1st Round of Communication
2nd Round of Communication
Pathologists Contacted Providers• Emailed all providers to order Free T4 test instead
of Total T4
• Saw an initial decline then volume increased again
(using hc1 for order volume visibility)
• Sent another email to all providers
• Saw another decline in ordering practices
• Drilled down to find specific provider
groups
41. 41
Test Utilization Successes with Next-Gen BI
Relationship
Building
Sustainability
• Achieved a 50% reduction in
high-cost unreimbursed test
ordering
• Generated 127% increase in
new test ordering over obsolete
tests
• Enhanced client
communication
• Faster issue resolution &
greater client satisfaction
• Ordering practice is now
mainstream
• Proactively identifying
trends to uncover
meaningful, actionable data
Key Takeaways