The document discusses chemistry informatics at Pfizer, including past, present, and future states. It notes that drug discovery is a long, expensive, and risky process. Informatics costs are rising while budgets are shrinking, driving changes towards more flexible infrastructure like service-oriented architecture. The current state implements common services and applications through a composite application model. The future state envisions more modular, reusable components and services delivered through an integrated analysis workbench to support drug discovery.
15 slide presentation displaying the use cases, features and benefits of the 4th generation Kingland Platform. The platform delivers enterprise data management solutions for some of the world's largest organizations. Powered by an artificial intelligence suite, the platform helps organizations avoid costs, accelerate projects, and improve how you use data to make business decisions.
With every passing day, organizations are becoming more and more mindful about the performance of their Software Products. However, most of them still on look-out for the basics of Performance Engineering.
According to a recent study by Gartner, fixing performance defects near the end of the development cycle costs 50 to 100 times more than the cost required for fixing it during the early phase of development. Hence, if a product suffers from serious performance issues it can be completely scrapped.
Performance Engineering ensures that your application is performing as per expectations and the software is tested and tuned to meet specified or even the unstated performance requirements.
We present you with a webcast on Performance Engineering Basics that would walk you through the elements and process of performance engineering, and also offers a methodical process for the same.
It also offers details on a load testing tool, and describes how best to utilize it.
Visit http: http://www.impetus.com/featured_webcast?eventid=10 to listen to the entire webcast (20 minutes).
OR
To post any queries on Performance Engineering, write to us at isales@impetus.com
For case studies and articles on performance engineering please visit: http://www.impetus.com/plabs/casestudies?case_study=&pLabsClustering.pdf=
A Journey to Enterprise Agility: Migrating 15 Atlassian Instances to Data CenterAtlassian
How do you coordinate the work of thousands of users, balance the need for teams to innovate, optimize performance, and comply with reporting standards and industry regulations?
At Johnson & Johnson we were faced with such a challenge. With 15 Atlassian application instances and tens of thousands of users, we needed to find a viable way to manage applications and our users efficiently. Come hear about our journey—the challenges, best practices, lessons learned, and ROI during one of the largest data transformation migrations we've ever embarked on.
Drug Discovery Innovation in a Precompetitive Cloud Platform (LFS302-S) - AWS...Amazon Web Services
Informatics systems used by research scientists today have significant limitations, since they come from many vendors, use different data formats, and were developed with various UI standards. These limitations create barriers to accessing and integrating heterogeneous, siloed research data in a meaningful way to facilitate innovation and collaboration. In this session, Accenture and Merck discuss the expanded capabilities and benefits—for drug discovery organizations and software providers—of a newly launched research platform that gives the research science world a highly elastic, cloud infrastructure with a single UI and advanced computing power that accelerates drug discovery activities and enables competitive differentiation. This session is brought to you by AWS partner, Accenture.
In medicine - an MRI can quickly reveal a hidden ailment and actionable insight to get better. For IT and business leaders whose key concern with the mainframe is the platform costs and lean operations - the CA Mainframe Resource Intelligene reveals multiple sources of hidden mainframe costs and operational inefficiencies along with actionable recommendations.View this slideshare to understand how this new SaaS offering from CA brings together automation, speed, analytics and mainframe expertise of 40+ years. CA Mainframe Resource Intelligence reports answer your CIO’s toughest questions about mainframe optimization and potential for digital transformation.
For more information, please contact your account director or mainframe specialist at:
http://ow.ly/PALG50htHgF
This presentation tells in brief the solutions provided by Impetus\'s Testing Center of Excellence "qLabs". Please send in your comments at qLabs@impetus.co.in
http://www.impetus.com/qLabs
Automating your EdI Testing in Healthcare | QualiTest GroupQualitest
QualiTest hosts a webinar: Automating your EDI Testing in Healthcare
QualiTest gives an overview of automating your EDI testing. Exploring a case study with MultiPlan and QualiTest, we'll reveal how we solved the challenges associated with implementation, maximizing the benefits of test automation and more!
Hosted by:
Alex Riordan - Test Specialist at QualiTest
Nadia Othman - Manager of SQA at MultiPlan
Hosted on: October 28th, 2015
QualiTest is the world’s second largest pure play software testing and QA company. Testing and QA is all that we do! visit us at: www.QualiTestGroup.com
Centralizing Data to Address Imperatives in Clinical DevelopmentSaama
Karim Damji presents at SCDM 2017 Annual Conference in Orlando, Florida in the Unstructured and Structured Big Data Convergence for Bridging Clinical, Regulatory, and Commercialization session.
Abstract:
Are you fully leveraging the data you generate from trials, regulatory submissions and post-approval marketing to maximize business outcomes? With the deluge of structured, unstructured, and syndicated data, the use of varied data for targeted outcomes remains difficult, despite increased industry efforts to address the issue. New technologies are federating the ability to leverage analytic-ready data for innovations in clinical development and drug commercialization. With the application of clinical data-as-a-service and meta-data core, centralized clinical data lakes have the power to improve data quality, evidence generation, and time-to-insights.
Join us as we take a deep dive into the architecture of the Salesforce1 Platform, explain how multitenancy actually works, and how it affects you as a developer. Showing the technology we use and the design principles we adhere to, you'll see how our platform teams manage three major upgrades a year without causing any issues to existing development. We'll cover the performance and security implications around the platform to give you an understanding of how limits have evolved. By the end of the session, you'll have a better grasp of the architecture underpinning Force.com and understand how to get the most out of it.
This is the poster that I presented at the 10th Summer School on Ontology Engineering and the Semantic Web which has held on July, 2013. at Cercedilla, Madrid, Spain.
15 slide presentation displaying the use cases, features and benefits of the 4th generation Kingland Platform. The platform delivers enterprise data management solutions for some of the world's largest organizations. Powered by an artificial intelligence suite, the platform helps organizations avoid costs, accelerate projects, and improve how you use data to make business decisions.
With every passing day, organizations are becoming more and more mindful about the performance of their Software Products. However, most of them still on look-out for the basics of Performance Engineering.
According to a recent study by Gartner, fixing performance defects near the end of the development cycle costs 50 to 100 times more than the cost required for fixing it during the early phase of development. Hence, if a product suffers from serious performance issues it can be completely scrapped.
Performance Engineering ensures that your application is performing as per expectations and the software is tested and tuned to meet specified or even the unstated performance requirements.
We present you with a webcast on Performance Engineering Basics that would walk you through the elements and process of performance engineering, and also offers a methodical process for the same.
It also offers details on a load testing tool, and describes how best to utilize it.
Visit http: http://www.impetus.com/featured_webcast?eventid=10 to listen to the entire webcast (20 minutes).
OR
To post any queries on Performance Engineering, write to us at isales@impetus.com
For case studies and articles on performance engineering please visit: http://www.impetus.com/plabs/casestudies?case_study=&pLabsClustering.pdf=
A Journey to Enterprise Agility: Migrating 15 Atlassian Instances to Data CenterAtlassian
How do you coordinate the work of thousands of users, balance the need for teams to innovate, optimize performance, and comply with reporting standards and industry regulations?
At Johnson & Johnson we were faced with such a challenge. With 15 Atlassian application instances and tens of thousands of users, we needed to find a viable way to manage applications and our users efficiently. Come hear about our journey—the challenges, best practices, lessons learned, and ROI during one of the largest data transformation migrations we've ever embarked on.
Drug Discovery Innovation in a Precompetitive Cloud Platform (LFS302-S) - AWS...Amazon Web Services
Informatics systems used by research scientists today have significant limitations, since they come from many vendors, use different data formats, and were developed with various UI standards. These limitations create barriers to accessing and integrating heterogeneous, siloed research data in a meaningful way to facilitate innovation and collaboration. In this session, Accenture and Merck discuss the expanded capabilities and benefits—for drug discovery organizations and software providers—of a newly launched research platform that gives the research science world a highly elastic, cloud infrastructure with a single UI and advanced computing power that accelerates drug discovery activities and enables competitive differentiation. This session is brought to you by AWS partner, Accenture.
In medicine - an MRI can quickly reveal a hidden ailment and actionable insight to get better. For IT and business leaders whose key concern with the mainframe is the platform costs and lean operations - the CA Mainframe Resource Intelligene reveals multiple sources of hidden mainframe costs and operational inefficiencies along with actionable recommendations.View this slideshare to understand how this new SaaS offering from CA brings together automation, speed, analytics and mainframe expertise of 40+ years. CA Mainframe Resource Intelligence reports answer your CIO’s toughest questions about mainframe optimization and potential for digital transformation.
For more information, please contact your account director or mainframe specialist at:
http://ow.ly/PALG50htHgF
This presentation tells in brief the solutions provided by Impetus\'s Testing Center of Excellence "qLabs". Please send in your comments at qLabs@impetus.co.in
http://www.impetus.com/qLabs
Automating your EdI Testing in Healthcare | QualiTest GroupQualitest
QualiTest hosts a webinar: Automating your EDI Testing in Healthcare
QualiTest gives an overview of automating your EDI testing. Exploring a case study with MultiPlan and QualiTest, we'll reveal how we solved the challenges associated with implementation, maximizing the benefits of test automation and more!
Hosted by:
Alex Riordan - Test Specialist at QualiTest
Nadia Othman - Manager of SQA at MultiPlan
Hosted on: October 28th, 2015
QualiTest is the world’s second largest pure play software testing and QA company. Testing and QA is all that we do! visit us at: www.QualiTestGroup.com
Centralizing Data to Address Imperatives in Clinical DevelopmentSaama
Karim Damji presents at SCDM 2017 Annual Conference in Orlando, Florida in the Unstructured and Structured Big Data Convergence for Bridging Clinical, Regulatory, and Commercialization session.
Abstract:
Are you fully leveraging the data you generate from trials, regulatory submissions and post-approval marketing to maximize business outcomes? With the deluge of structured, unstructured, and syndicated data, the use of varied data for targeted outcomes remains difficult, despite increased industry efforts to address the issue. New technologies are federating the ability to leverage analytic-ready data for innovations in clinical development and drug commercialization. With the application of clinical data-as-a-service and meta-data core, centralized clinical data lakes have the power to improve data quality, evidence generation, and time-to-insights.
Join us as we take a deep dive into the architecture of the Salesforce1 Platform, explain how multitenancy actually works, and how it affects you as a developer. Showing the technology we use and the design principles we adhere to, you'll see how our platform teams manage three major upgrades a year without causing any issues to existing development. We'll cover the performance and security implications around the platform to give you an understanding of how limits have evolved. By the end of the session, you'll have a better grasp of the architecture underpinning Force.com and understand how to get the most out of it.
This is the poster that I presented at the 10th Summer School on Ontology Engineering and the Semantic Web which has held on July, 2013. at Cercedilla, Madrid, Spain.
How to Create a Big Data Culture in PharmaChris Waller
A talk presented at the Big Data and Analytics conference in Boston on January 28, 2014. Emphasis on data and information sharing cultures in companies.
1. Chemistry Informatics at Pfizer: Past, Present, and Future Chris L. Waller, Ph.D. World Wide Chemistry Informatics Pfizer Global Research and Development [email_address]
4. R&D: Long, Expensive and Risky 16 14 12 10 8 6 4 2 0 Years Cost = $1.3B/new drug Target Selection Chemical Selection Clinical Trials Launch Discovery (2-10 years) Pre-clinical Testing Laboratory and animal testing Phase 1 20-80 healthy volunteers - safety and dosage Phase 2 100-300 patient volunteers efficacy & safety Phase 3 3,000-5,000 patient volunteers used to monitor adverse reactions to long-term use FDA Review/ Approval
5. Productivity is Decreasing Source: PhRMA, FDA, Lehman Brothers; The 2004 Industry R&D Expense is an estimate Annual NME Approvals Industry R&D Expense ($ Billions) R&D Investment NME Approvals
10. Service Oriented Architecture workflow solution Web services orchestrate composite applications pipelines activity modular reuse Business process capabilities
11. SOA – WW Chemistry Informatics workflow solution capabilities Presentation Component Enumeration Service Registration Service Uniqueness Checking Service Search Service Validation Service Design Component Property Calculation Service Enumerate Search Design Register Identify Display Validate Compute
12. SOA – WW Chemistry Informatics Enumeration Service Registration Service Uniqueness Checking Service Search Service Validation Service Design Component Property Calculation Service Presentation Component Components Services
15. From Capabilities to Workflow Presentation Component Enumeration Service Registration Service Uniqueness Checking Service Search Service Validation Service Design Component Property Calculation Service Enumerate Search Design Register Identify Display Validate Compute “ Register” - Commit capabilities Workflow
16. Tool Integration Registration Service Uniqueness Checking Service Search Service Validation Service “ Register” - Commit Register Presentation Component Accord SDK Accord SDK Workflow Accord Structure Checker / Accord Chemistry Cartridge Accord Chemistry Cartridge Accord Chemistry Java Object MN.Tautomer /