Ramesh Durvasula (BMS) provides an overview of this potential Pistoia Alliance working group during the Dragons' Den session at the Pistoia Alliance Conference in Boston, MA, on April 24, 2012.
Emerging Life Sciences Collaboration on Common Service SpecificationPistoia Alliance
Presentation by Pistoia Alliance reps Ian Harrow (Pfizer) and Nick Lynch (AstraZeneca) at the International Conference on Trends for Scientific Information Professionals, October 2010.
The Pistoia Alliance Conference in April 2011 included a series of 10-minute "lightning talks" from vendors about what they think pharma will look like in 2020. This presentation was delivered by John P. McAlister of CambridgeSoft.
The Pistoia Alliance: Update on Strategy and ProgressPistoia Alliance
Ramesh Durvasula, Pistoia Alliance board member, discusses the Pistoia Alliance mission and recaps activities in 2011-12, with particular emphasis on the successful completion of the Sequence Squeeze Competition and Sequence Services Phase 2. The presentation was delivered at BioITWorld in Boston in April 2012.
Pablo Castro, inventor of the OData protocol at Microsoft, describes the application of OData to the management of life science data in a presentation delivered in an open meeting and webinar of the Pistoia Alliance Technical Committee.
The document discusses the challenges of complying with legislation controlling substances across different countries and regions. It describes the Controlled Substance Compliance Service (CSCS) project led by Pistoia Alliance to address this issue. The project defined requirements, issued a request for proposals, and selected two vendors - ChemAxon/Patcore and Scitegrity - to develop controlled substance identification solutions using different technologies. The project helped establish a need for such solutions and a community of experts to address the global controlled substance compliance problem.
Pistoia Alliance Debates: IDMP: It’s all about the patient: enhancing patient...Pistoia Alliance
This webinar discusses IDMP (Identification of Medicinal Products) and focuses on substances and their implementation. It provides background on IDMP, timelines for implementation in the EU which is driving standardization, and an example substance record for Brentuximab Vedotin to illustrate the level of detail in substance definitions. The goal of IDMP is to improve patient safety through standardized identification and exchange of information on medicines and ingredients.
Emerging Life Sciences Collaboration on Common Service SpecificationPistoia Alliance
Presentation by Pistoia Alliance reps Ian Harrow (Pfizer) and Nick Lynch (AstraZeneca) at the International Conference on Trends for Scientific Information Professionals, October 2010.
The Pistoia Alliance Conference in April 2011 included a series of 10-minute "lightning talks" from vendors about what they think pharma will look like in 2020. This presentation was delivered by John P. McAlister of CambridgeSoft.
The Pistoia Alliance: Update on Strategy and ProgressPistoia Alliance
Ramesh Durvasula, Pistoia Alliance board member, discusses the Pistoia Alliance mission and recaps activities in 2011-12, with particular emphasis on the successful completion of the Sequence Squeeze Competition and Sequence Services Phase 2. The presentation was delivered at BioITWorld in Boston in April 2012.
Pablo Castro, inventor of the OData protocol at Microsoft, describes the application of OData to the management of life science data in a presentation delivered in an open meeting and webinar of the Pistoia Alliance Technical Committee.
The document discusses the challenges of complying with legislation controlling substances across different countries and regions. It describes the Controlled Substance Compliance Service (CSCS) project led by Pistoia Alliance to address this issue. The project defined requirements, issued a request for proposals, and selected two vendors - ChemAxon/Patcore and Scitegrity - to develop controlled substance identification solutions using different technologies. The project helped establish a need for such solutions and a community of experts to address the global controlled substance compliance problem.
Pistoia Alliance Debates: IDMP: It’s all about the patient: enhancing patient...Pistoia Alliance
This webinar discusses IDMP (Identification of Medicinal Products) and focuses on substances and their implementation. It provides background on IDMP, timelines for implementation in the EU which is driving standardization, and an example substance record for Brentuximab Vedotin to illustrate the level of detail in substance definitions. The goal of IDMP is to improve patient safety through standardized identification and exchange of information on medicines and ingredients.
Fairification experience clarifying the semantics of data matricesPistoia Alliance
This webinar presents the Statistics Ontology, STATO which is a semantic framework to support the creation of standardized analysis reports to help with review of results in the form of data matrices. STATO includes a hierarchy of classes and a vocabulary for annotating statistical methods used in life, natural and biomedical sciences investigations, text mining and statistical analyses.
This webinar discusses driving adoption of microphysiological systems (MPS) in drug R&D. The webinar agenda includes presentations on multi-organ chips for safety and efficacy assessment from TissUse, current applications and future perspectives of organ-on-chips in pharmaceutical industry from AstraZeneca, and driving adoption of MPS from ToxRox Consulting. A panel discussion will be moderated by Mary Ellen Cosenza. The presentations will cover benefits of MPS for reducing drug failures and animal testing, applications across drug discovery and development, challenges for adoption, and perspectives from industry.
Federated Learning (FL) is a learning paradigm that enables collaborative learning without centralizing datasets. In this webinar, NVIDIA present the concept of FL and discuss how it can help overcome some of the barriers seen in the development of AI-based solutions for pharma, genomics and healthcare. Following the presentation, the panel debate on other elements that could drive the adoption of digital approaches more widely and help answer currently intractable science and business questions.
It seems that AI is also becoming a buzzword, like design thinking. Everyone is talking about AI or wants to have AI, and sees all the ideas and benefits – that’s fine, but how do you get started? But what’s different now? Three innovations have finally put AI on the fast track: Big Data, with the internet and sensors everywhere; massive computing power, especially through the Cloud; and the development of breakthrough algorithms, so computers can be trained to accomplish more sophisticated tasks on their own with deep learning. If you use new technology, you need to explore and know what’s possible. With design thinking, it aids to outline the steps and define the ways in which you’re going to create the solution. Starting with mapping the customer journey, defining who will be using that service enhanced with intelligent technology, or who will benefit and gain value from it. We discuss how these two worlds are coming together, and how you get started to transform your venture with Artificial Intelligence using Design Thinking.
Speaker: Claudio Mirti, Principal Solution Specialist – Data & AI, Microsoft
Themes and objectives:
To position FAIR as a key enabler to automate and accelerate R&D process workflows
FAIR Implementation within the context of a use case
Grounded in precise outcomes (e.g. faster and bigger science / more reuse of data to enhance value / increased ability to share data for collaboration and partnership)
To make data actionable through FAIR interoperability
Speakers:
Mathew Woodwark,Head of Data Infrastructure and Tools, Data Science & AI, AstraZeneca
Erik Schultes, International Science Coordinator, GO-FAIR
Georges Heiter, Founder & CEO, Databiology
Knowledge graphs ilaria maresi the hyve 23apr2020Pistoia Alliance
Data for drug discovery and healthcare is often trapped in silos which hampers effective interpretation and reuse. To remedy this, such data needs to be linked both internally and to external sources to make a FAIR data landscape which can power semantic models and knowledge graphs.
2020.04.07 automated molecular design and the bradshaw platform webinarPistoia Alliance
This presentation described how data-driven chemoinformatics methods may automate much of what has historically been done by a medicinal chemist. It explored what is reasonable to expect “AI” approaches might achieve, and what is best left with a human expert. The implications of automation for the human-machine interface were explored and illustrated with examples from Bradshaw, GSK’s experimental automated design environment.
This presentation reviewed the challenges in identifying, acquiring and utilizing research data in relation to an evolving data market. Strategic solutions were examined in which the FAIR principles play a key role in the future of data management.
Dr. Dennis Wang discusses possible ways to enable ML methods to be more powerful for discovery and to reduce ambiguity within translational medicine, allowing data-informed decision-making to deliver the next generation of diagnostics and therapeutics to patients quicker, at lowered costs, and at scale.
The talk by Dr. Dennis Wang was followed by a panel discussion with Mr. Albert Wang, M. Eng., Head, IT Business Partner, Translational Research & Technologies, Bristol-Myers Squibb.
With the explosion of interest in both enhanced knowledge management and open science, the past few years have seen considerable discussion about making scientific data “FAIR” — findable, accessible, interoperable, and reusable. The problem is that most scientific datasets are not FAIR. When left to their own devices, scientists do an absolutely terrible job creating the metadata that describe the experimental datasets that make their way in online repositories. The lack of standardization makes it extremely difficult for other investigators to locate relevant datasets, to re-analyse them, and to integrate those datasets with other data. The Center for Expanded Data Annotation and Retrieval (CEDAR) has the goal of enhancing the authoring of experimental metadata to make online datasets more useful to the scientific community. The CEDAR work bench for metadata management will be presented in this webinar. CEDAR illustrates the importance of semantic technology to driving open science. It also demonstrates a means for simplifying access to scientific data sets and enhancing the reuse of the data to drive new discoveries.
Open interoperability standards, tools and services at EMBL-EBIPistoia Alliance
In this webinar Dr Henriette Harmse from EMBL-EBI presents how they are using their ontology services at EMBL-EBI to scale up the annotation of data and deliver added value through ontologies and semantics to their users.
Fair webinar, Ted slater: progress towards commercial fair data products and ...Pistoia Alliance
Elsevier is a global information analytics business that helps institutions and professional’s
advance healthcare and open science to improve performance for the benefit of humanity.
In this webinar, we discuss how Elsevier is increasingly leveraging the FAIR Guiding Principles to improve its products and services to better serve the scientific community.
Application of recently developed FAIR metrics to the ELIXIR Core Data ResourcesPistoia Alliance
The FAIR (Findable, Accessible, Interoperable and Reusable) principles aim to maximize the discovery and reuse of digital resources. Using recently developed software and metrics to assess FAIRness and supported through an ELIXIR Implementation Study, Michel worked with a subset of ELIXIR Core Data Resources to apply these technologies. In this webinar, he will discuss their approach, findings, and lessons learned towards the understanding and promotion of the FAIR principles.
Implementing Blockchain applications in healthcarePistoia Alliance
Blockchain technology can revolutionise the way information is exchanged between parties by bringing an unprecedented level of security and trust to these transactions. The technology is finding its way into multiple use cases but we are yet to see full adoption and real-world business implementation in the Healthcare industry.
In this webinar we will explore the main challenges and considerations for the implementation of Blockchain technology in Healthcare use cases. This is the third webinar in our Blockchain Education series.
Building trust and accountability - the role User Experience design can play ...Pistoia Alliance
In this webinar our panel of UX specialists give a brief introduction to User Experience before presenting the design opportunities UX can bring to AI. We all know that AI has great potential but has some significant hurdles to overcome not least so the human aspect of trust and ethical considerations when designing in the life sciences.
This document summarizes a webinar on using machine learning and data mining techniques to predict drug repurposing opportunities for chronic pancreatitis. Specifically:
1. Ensemble learning techniques like kernel-based models were used to analyze drug and disease target interaction data from multiple sources to identify potential drug candidates for repurposing.
2. The top 5 repurposing candidates identified through this process were being evaluated further by the partner organization Mission-Cure with the goal of beginning patient trials by January 2020.
3. Additional techniques discussed included using compressed sensing to analyze drug-disease networks and predict side effects to help evaluate candidate drugs identified for repurposing opportunities.
PA webinar on benefits & costs of FAIR implementation in life sciences Pistoia Alliance
The slides from the Pistoia Alliance Debates Webinar where a panel of experts from technology support providers and the biopharma industry, who have been invited to share their views on the "Benefits and costs of FAIR Implementation for life science industry".
Creating novel drugs is an extraordinarily hard and complex problem.
One of the many challenges in drug design is the sheer size of the search space for novel chemical compounds. Scientists need to find molecules that are active toward a biological target or pathway and at the same time have acceptable ADMET properties.
There is now considerable research going on using various AI and ML approaches to tackle these challenges.
Our distinguished speakers, Drs. Alex Tropsha and Ola Engkvist, will discuss their recent work in Drug Design involving Deep Reinforcement Learning and Neural Networks, and will answer questions from the audience on the current state of the research in the field.
Speakers:
Prof Alex Tropsha, Professor at University of North Carolina at Chapel Hill, USA
Dr. Ola Engkvist, Associate Director at AstraZeneca R&D, Gothenburg, Sweden
Alexander Tropsha presented on using AI and machine learning for drug design and discovery. He discussed using QSAR models to predict properties and activity of molecules based on their structural descriptors. He also introduced ReLeaSE, a new method using deep reinforcement learning to generate novel drug-like molecules and guide chemical library design through a thought cycle of molecule generation, model building, and iterative improvement. If successful, this approach could disrupt traditional computational drug discovery pipelines.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
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.
Fairification experience clarifying the semantics of data matricesPistoia Alliance
This webinar presents the Statistics Ontology, STATO which is a semantic framework to support the creation of standardized analysis reports to help with review of results in the form of data matrices. STATO includes a hierarchy of classes and a vocabulary for annotating statistical methods used in life, natural and biomedical sciences investigations, text mining and statistical analyses.
This webinar discusses driving adoption of microphysiological systems (MPS) in drug R&D. The webinar agenda includes presentations on multi-organ chips for safety and efficacy assessment from TissUse, current applications and future perspectives of organ-on-chips in pharmaceutical industry from AstraZeneca, and driving adoption of MPS from ToxRox Consulting. A panel discussion will be moderated by Mary Ellen Cosenza. The presentations will cover benefits of MPS for reducing drug failures and animal testing, applications across drug discovery and development, challenges for adoption, and perspectives from industry.
Federated Learning (FL) is a learning paradigm that enables collaborative learning without centralizing datasets. In this webinar, NVIDIA present the concept of FL and discuss how it can help overcome some of the barriers seen in the development of AI-based solutions for pharma, genomics and healthcare. Following the presentation, the panel debate on other elements that could drive the adoption of digital approaches more widely and help answer currently intractable science and business questions.
It seems that AI is also becoming a buzzword, like design thinking. Everyone is talking about AI or wants to have AI, and sees all the ideas and benefits – that’s fine, but how do you get started? But what’s different now? Three innovations have finally put AI on the fast track: Big Data, with the internet and sensors everywhere; massive computing power, especially through the Cloud; and the development of breakthrough algorithms, so computers can be trained to accomplish more sophisticated tasks on their own with deep learning. If you use new technology, you need to explore and know what’s possible. With design thinking, it aids to outline the steps and define the ways in which you’re going to create the solution. Starting with mapping the customer journey, defining who will be using that service enhanced with intelligent technology, or who will benefit and gain value from it. We discuss how these two worlds are coming together, and how you get started to transform your venture with Artificial Intelligence using Design Thinking.
Speaker: Claudio Mirti, Principal Solution Specialist – Data & AI, Microsoft
Themes and objectives:
To position FAIR as a key enabler to automate and accelerate R&D process workflows
FAIR Implementation within the context of a use case
Grounded in precise outcomes (e.g. faster and bigger science / more reuse of data to enhance value / increased ability to share data for collaboration and partnership)
To make data actionable through FAIR interoperability
Speakers:
Mathew Woodwark,Head of Data Infrastructure and Tools, Data Science & AI, AstraZeneca
Erik Schultes, International Science Coordinator, GO-FAIR
Georges Heiter, Founder & CEO, Databiology
Knowledge graphs ilaria maresi the hyve 23apr2020Pistoia Alliance
Data for drug discovery and healthcare is often trapped in silos which hampers effective interpretation and reuse. To remedy this, such data needs to be linked both internally and to external sources to make a FAIR data landscape which can power semantic models and knowledge graphs.
2020.04.07 automated molecular design and the bradshaw platform webinarPistoia Alliance
This presentation described how data-driven chemoinformatics methods may automate much of what has historically been done by a medicinal chemist. It explored what is reasonable to expect “AI” approaches might achieve, and what is best left with a human expert. The implications of automation for the human-machine interface were explored and illustrated with examples from Bradshaw, GSK’s experimental automated design environment.
This presentation reviewed the challenges in identifying, acquiring and utilizing research data in relation to an evolving data market. Strategic solutions were examined in which the FAIR principles play a key role in the future of data management.
Dr. Dennis Wang discusses possible ways to enable ML methods to be more powerful for discovery and to reduce ambiguity within translational medicine, allowing data-informed decision-making to deliver the next generation of diagnostics and therapeutics to patients quicker, at lowered costs, and at scale.
The talk by Dr. Dennis Wang was followed by a panel discussion with Mr. Albert Wang, M. Eng., Head, IT Business Partner, Translational Research & Technologies, Bristol-Myers Squibb.
With the explosion of interest in both enhanced knowledge management and open science, the past few years have seen considerable discussion about making scientific data “FAIR” — findable, accessible, interoperable, and reusable. The problem is that most scientific datasets are not FAIR. When left to their own devices, scientists do an absolutely terrible job creating the metadata that describe the experimental datasets that make their way in online repositories. The lack of standardization makes it extremely difficult for other investigators to locate relevant datasets, to re-analyse them, and to integrate those datasets with other data. The Center for Expanded Data Annotation and Retrieval (CEDAR) has the goal of enhancing the authoring of experimental metadata to make online datasets more useful to the scientific community. The CEDAR work bench for metadata management will be presented in this webinar. CEDAR illustrates the importance of semantic technology to driving open science. It also demonstrates a means for simplifying access to scientific data sets and enhancing the reuse of the data to drive new discoveries.
Open interoperability standards, tools and services at EMBL-EBIPistoia Alliance
In this webinar Dr Henriette Harmse from EMBL-EBI presents how they are using their ontology services at EMBL-EBI to scale up the annotation of data and deliver added value through ontologies and semantics to their users.
Fair webinar, Ted slater: progress towards commercial fair data products and ...Pistoia Alliance
Elsevier is a global information analytics business that helps institutions and professional’s
advance healthcare and open science to improve performance for the benefit of humanity.
In this webinar, we discuss how Elsevier is increasingly leveraging the FAIR Guiding Principles to improve its products and services to better serve the scientific community.
Application of recently developed FAIR metrics to the ELIXIR Core Data ResourcesPistoia Alliance
The FAIR (Findable, Accessible, Interoperable and Reusable) principles aim to maximize the discovery and reuse of digital resources. Using recently developed software and metrics to assess FAIRness and supported through an ELIXIR Implementation Study, Michel worked with a subset of ELIXIR Core Data Resources to apply these technologies. In this webinar, he will discuss their approach, findings, and lessons learned towards the understanding and promotion of the FAIR principles.
Implementing Blockchain applications in healthcarePistoia Alliance
Blockchain technology can revolutionise the way information is exchanged between parties by bringing an unprecedented level of security and trust to these transactions. The technology is finding its way into multiple use cases but we are yet to see full adoption and real-world business implementation in the Healthcare industry.
In this webinar we will explore the main challenges and considerations for the implementation of Blockchain technology in Healthcare use cases. This is the third webinar in our Blockchain Education series.
Building trust and accountability - the role User Experience design can play ...Pistoia Alliance
In this webinar our panel of UX specialists give a brief introduction to User Experience before presenting the design opportunities UX can bring to AI. We all know that AI has great potential but has some significant hurdles to overcome not least so the human aspect of trust and ethical considerations when designing in the life sciences.
This document summarizes a webinar on using machine learning and data mining techniques to predict drug repurposing opportunities for chronic pancreatitis. Specifically:
1. Ensemble learning techniques like kernel-based models were used to analyze drug and disease target interaction data from multiple sources to identify potential drug candidates for repurposing.
2. The top 5 repurposing candidates identified through this process were being evaluated further by the partner organization Mission-Cure with the goal of beginning patient trials by January 2020.
3. Additional techniques discussed included using compressed sensing to analyze drug-disease networks and predict side effects to help evaluate candidate drugs identified for repurposing opportunities.
PA webinar on benefits & costs of FAIR implementation in life sciences Pistoia Alliance
The slides from the Pistoia Alliance Debates Webinar where a panel of experts from technology support providers and the biopharma industry, who have been invited to share their views on the "Benefits and costs of FAIR Implementation for life science industry".
Creating novel drugs is an extraordinarily hard and complex problem.
One of the many challenges in drug design is the sheer size of the search space for novel chemical compounds. Scientists need to find molecules that are active toward a biological target or pathway and at the same time have acceptable ADMET properties.
There is now considerable research going on using various AI and ML approaches to tackle these challenges.
Our distinguished speakers, Drs. Alex Tropsha and Ola Engkvist, will discuss their recent work in Drug Design involving Deep Reinforcement Learning and Neural Networks, and will answer questions from the audience on the current state of the research in the field.
Speakers:
Prof Alex Tropsha, Professor at University of North Carolina at Chapel Hill, USA
Dr. Ola Engkvist, Associate Director at AstraZeneca R&D, Gothenburg, Sweden
Alexander Tropsha presented on using AI and machine learning for drug design and discovery. He discussed using QSAR models to predict properties and activity of molecules based on their structural descriptors. He also introduced ReLeaSE, a new method using deep reinforcement learning to generate novel drug-like molecules and guide chemical library design through a thought cycle of molecule generation, model building, and iterative improvement. If successful, this approach could disrupt traditional computational drug discovery pipelines.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
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.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
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.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
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.
Webinar: Designing a schema for a Data WarehouseFederico Razzoli
Are you new to data warehouses (DWH)? Do you need to check whether your data warehouse follows the best practices for a good design? In both cases, this webinar is for you.
A data warehouse is a central relational database that contains all measurements about a business or an organisation. This data comes from a variety of heterogeneous data sources, which includes databases of any type that back the applications used by the company, data files exported by some applications, or APIs provided by internal or external services.
But designing a data warehouse correctly is a hard task, which requires gathering information about the business processes that need to be analysed in the first place. These processes must be translated into so-called star schemas, which means, denormalised databases where each table represents a dimension or facts.
We will discuss these topics:
- How to gather information about a business;
- Understanding dictionaries and how to identify business entities;
- Dimensions and facts;
- Setting a table granularity;
- Types of facts;
- Types of dimensions;
- Snowflakes and how to avoid them;
- Expanding existing dimensions and facts.
2. Business Challenge
• Legislation exists at local, national and
international levels to restrict the
production, import/export, supply, use
and possession of certain substances
• Pharmaceutical companies must hold
multiple licences to conduct research
across the field of restricted compounds
2
3. Business Challenge
• Legislation is constantly evolving and becoming
more complicated as it attempts to mirror
developments in substance abuse
mephedrone
U.S. bans chemicals in "bath salts" street drug
methylenedioxypyrovalerone (MDPV) 3
4. Vision for this Project
‘The list’ – a single source of restricted
compound knowledge for the pharmaceutical
industry
– Totally comprehensive in regards to current legislation
– Have knowledge of all pending/proposed legislation – keep the pharma industry
‘ahead of the game’
– Have global coverage – it must be possible to check against the restricted
compound law in any country/region or check against global legislation
– Have complete and correct interpretation of legislation, this interpretation being
confirmed by the legislative body concerned
– Ideally be ‘certified’ by governments, i.e. use this list and you will be compliant
– The list to be provided as required by the industry – Individual Structures
(Molfiles, SMILES, INCHI, etc) , Markushes, Compound Names (INN, Trademark,
etc), CAS No’s, other identifiers as required, legal status, legal documentation,
etc.
4
5. Business Case: Restricted Compounds List
• Project cost
– $300,000 one-time, plus $100,000 annually
• Value Created
– Reduce annual cost of $100,000 per company
5