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 Nick Encina of Wingu.
How to Become a Data Science Company instead of a company with Data Scientist...Ruth Kearney
The journey of becoming a data science company is more about the culture and thinking, rather than hiring and up-skilling individuals. In Novartis, while we are hiring data scientists and spending a lot of time in training and learning related to data science, the destination for us is one of cultural change, which is required to make us a data science company.
Head of the AI Hub Dublin, Ashwini Mathur will share practical insights into the Novartis journey and how each employee plays a part. He will talk about the value of using the language of data science throughout the organisation and how this takes them one step closer to becoming a data science company.
In developing research for impact, science should support decisions as decision makers are always hungry for information.
Research should be tailored to specifically address particular decisions. This can be achived through direct engagement with decison makers especially in decision making under uncertainity.
Tailor research specifically to address particular decisions
Big data is useful in many ways. But what are they and how they impact our lives. Is it the the ultimate thing that will drive our goals in future? Let's find out. What do we do with all this big data.
Why businesses are moving towards remote working?Vartika Kashyap
Remote work is on the rise. Today, almost 3% of the global workforce work at least half their hours from home. Now a days, it is becoming more commonplace for companies to offer their employees flexibility around when and where they work. Check out this presentation to know why businesses are moving towards remote working.
Are you working remotely? Tell us what you think about remote work.
http://verraes.net
The project was of to a bad start: an inherited legacy codebase, a waterfall contract, and a projected loss. The promise of Kaizen or Continuous Improvement seemed very appealing. But when we tried to incorporate this into our process, it didn’t catch on. Biweekly retrospectives didn’t seem to expose any problems we could improve upon. The ceremonies we tried, like Deming’s Plan-Do-Check-Act cycles, added too much overhead. We were doing something wrong.
Continuous Improvement implies that you know exactly where to focus your efforts. Like scientists, we started to experiment, without deciding upfront what we expected the outcome to be. The rules? Make every experiment as small as possible. No meetings, no consensus, no cumbersome evaluation process. We let the results speak for themselves. This talk explores the successes and failures of a team that went from survival mode to learning mode over the course of a year.
How to Become a Data Science Company instead of a company with Data Scientist...Ruth Kearney
The journey of becoming a data science company is more about the culture and thinking, rather than hiring and up-skilling individuals. In Novartis, while we are hiring data scientists and spending a lot of time in training and learning related to data science, the destination for us is one of cultural change, which is required to make us a data science company.
Head of the AI Hub Dublin, Ashwini Mathur will share practical insights into the Novartis journey and how each employee plays a part. He will talk about the value of using the language of data science throughout the organisation and how this takes them one step closer to becoming a data science company.
In developing research for impact, science should support decisions as decision makers are always hungry for information.
Research should be tailored to specifically address particular decisions. This can be achived through direct engagement with decison makers especially in decision making under uncertainity.
Tailor research specifically to address particular decisions
Big data is useful in many ways. But what are they and how they impact our lives. Is it the the ultimate thing that will drive our goals in future? Let's find out. What do we do with all this big data.
Why businesses are moving towards remote working?Vartika Kashyap
Remote work is on the rise. Today, almost 3% of the global workforce work at least half their hours from home. Now a days, it is becoming more commonplace for companies to offer their employees flexibility around when and where they work. Check out this presentation to know why businesses are moving towards remote working.
Are you working remotely? Tell us what you think about remote work.
http://verraes.net
The project was of to a bad start: an inherited legacy codebase, a waterfall contract, and a projected loss. The promise of Kaizen or Continuous Improvement seemed very appealing. But when we tried to incorporate this into our process, it didn’t catch on. Biweekly retrospectives didn’t seem to expose any problems we could improve upon. The ceremonies we tried, like Deming’s Plan-Do-Check-Act cycles, added too much overhead. We were doing something wrong.
Continuous Improvement implies that you know exactly where to focus your efforts. Like scientists, we started to experiment, without deciding upfront what we expected the outcome to be. The rules? Make every experiment as small as possible. No meetings, no consensus, no cumbersome evaluation process. We let the results speak for themselves. This talk explores the successes and failures of a team that went from survival mode to learning mode over the course of a year.
Designing Innovation Ecosystems | Keynote Address to the 2016 ANZRSAI Meeting...Ed Morrison
These slides highlighted a keynote adress to the 40th annual meeting of the Australia New Zealand Regional Science Association International meeting in Melbourne. In it, we reviewed some of our experiments in designing and guiding innovation ecosystems.
Innovation is not just about research and developmentMartin Brunet
Many people think that innovation is just a function of research and development, but in truth an innovation process can be used to solve any problem in any aspect of the business.
How do you boost resilience in adolescents & young adults (AYA) with cancer? Hopelab combines science+design to tackle these complex problems and built a chatbot to do just that.
Working as a Data Science consultant over the years, I had the privilege of collaborating with numerous and diverse software engineering teams, each following its own software development practices.
Every time I joined a new team I had to adjust to those practices; this meant I had to do Data Science in a way that would adhere to general software development principles while aligning with team values and planning conventions. It wasn’t always easy to do so.
In this talk, I attempt to provide a guide on how to practice Data Science as part of an Agile team:
What is a Data Scientist’s role in an Agile team?;
the importance of setting clear expectations to stakeholders;
how experiments (not tasks) can be done in a way that always adds to the team’s understanding;
how to extract value from intermediate results and incomplete solutions//models;
how should work be split?
knowing when your work is done.
The cognitive biases and fallacies that trick us into believing our plans are accurate and achievable, that people are the only barriers to a plans success and that keep us tied to our plans long after they are proved to be hopelessly wrong.
Analysis of the article by Thoman C Redman on 'How to start thinking like a D...Vaibhav Srivastav
Slide 1: Welcome slide on analysis of the article by Thoman C Redman on 'How to start thinking like a Data Scientist?'
Slide 2: Why, Why do we need to think like Data Scientists?
Slide 3: Because Data are forcing their way into all the industries. Data is the new currency.
Slide 4: Procedure to think like a Data Scientist
Slide 5: Step 1- Define the problem statement to be solved.
Slide 6: Step 2- Think about all the data that can solve your problem.
Slide 7: Step 3- Collect your data using necessary functions and protocols.
Slide 8: Clean your data for missing and irregular files.
Slide 9: Have confidence in the efficiency of your data.
Slide 10: Be wise to your data, Don't get too hard on it.
Slide 11: Visualize your data, Plot the graphs.
Slide 12: Do data analysis.
Slide 13: Check for variations in the data.
Slide 14: Formation of hypothesis based on observation from data.
Slide 15: Test your hypothesis on real-valued function.
Slide 16: Communicate the results of the evaluation.
Slide 17: Don't be data illiterate.
Slide 18: Thank You!
Introduction to the thinking processes of the theory of constraint. Create a Current Reality Tree to examine your current situation and use it at decision help!
The three Finalists were:
*WEKIT — Wearable Experience for Knowledge Intensive Training — pitch by Paul Lefrere, Innovation Lead
*Sapien Labs (WINNER) — pitch by Tara Thiagarajan, Founder & Chief Scientist
*MyndYou — pitch by Shira Yama Nir, Project Manager
*Judged by: Bill Tucker, Senior Advisor to the K12 Education Program at the Bill & Melinda Gates Foundation; Eduardo Briceño, CEO and Co-founder of Mindset Works; John Cammack, Angel Investor; Neil Allison, Director of Business Model Innovation at Pearson North America
*Álvaro Fernández, CEO and Editor-in-Chief of SharpBrains
*Sarah Lenz Lock, Senior Vice President for Policy at AARP and Executive Director of the Global Council on Brain Health (GCBH)
*Dr. April Benasich, Director of the Baby Lab at the Rutgers Center for Molecular and Behavioral Neuroscience
*Chaired by: Dr. Cori Lathan, Co-Chair of the World Economic Forum’s Council on the Future of Human Enhancement
Slidedeck supporting session held during the 2017 SharpBrains Virtual Summit: Brain Health & Enhancement in the Digital Age (December 5-7th). Learn more at: https://sharpbrains.com/summit-2017/
Research process funding local_services_generalRanjan sahoo
General research processes,funding in Local services and in General. Local services like what sulekha does,urbanclap and just dial does. It also talks about research funding and evaluation in local services like home services,home improvement,packers and movers, education, health care
Designing Innovation Ecosystems | Keynote Address to the 2016 ANZRSAI Meeting...Ed Morrison
These slides highlighted a keynote adress to the 40th annual meeting of the Australia New Zealand Regional Science Association International meeting in Melbourne. In it, we reviewed some of our experiments in designing and guiding innovation ecosystems.
Innovation is not just about research and developmentMartin Brunet
Many people think that innovation is just a function of research and development, but in truth an innovation process can be used to solve any problem in any aspect of the business.
How do you boost resilience in adolescents & young adults (AYA) with cancer? Hopelab combines science+design to tackle these complex problems and built a chatbot to do just that.
Working as a Data Science consultant over the years, I had the privilege of collaborating with numerous and diverse software engineering teams, each following its own software development practices.
Every time I joined a new team I had to adjust to those practices; this meant I had to do Data Science in a way that would adhere to general software development principles while aligning with team values and planning conventions. It wasn’t always easy to do so.
In this talk, I attempt to provide a guide on how to practice Data Science as part of an Agile team:
What is a Data Scientist’s role in an Agile team?;
the importance of setting clear expectations to stakeholders;
how experiments (not tasks) can be done in a way that always adds to the team’s understanding;
how to extract value from intermediate results and incomplete solutions//models;
how should work be split?
knowing when your work is done.
The cognitive biases and fallacies that trick us into believing our plans are accurate and achievable, that people are the only barriers to a plans success and that keep us tied to our plans long after they are proved to be hopelessly wrong.
Analysis of the article by Thoman C Redman on 'How to start thinking like a D...Vaibhav Srivastav
Slide 1: Welcome slide on analysis of the article by Thoman C Redman on 'How to start thinking like a Data Scientist?'
Slide 2: Why, Why do we need to think like Data Scientists?
Slide 3: Because Data are forcing their way into all the industries. Data is the new currency.
Slide 4: Procedure to think like a Data Scientist
Slide 5: Step 1- Define the problem statement to be solved.
Slide 6: Step 2- Think about all the data that can solve your problem.
Slide 7: Step 3- Collect your data using necessary functions and protocols.
Slide 8: Clean your data for missing and irregular files.
Slide 9: Have confidence in the efficiency of your data.
Slide 10: Be wise to your data, Don't get too hard on it.
Slide 11: Visualize your data, Plot the graphs.
Slide 12: Do data analysis.
Slide 13: Check for variations in the data.
Slide 14: Formation of hypothesis based on observation from data.
Slide 15: Test your hypothesis on real-valued function.
Slide 16: Communicate the results of the evaluation.
Slide 17: Don't be data illiterate.
Slide 18: Thank You!
Introduction to the thinking processes of the theory of constraint. Create a Current Reality Tree to examine your current situation and use it at decision help!
The three Finalists were:
*WEKIT — Wearable Experience for Knowledge Intensive Training — pitch by Paul Lefrere, Innovation Lead
*Sapien Labs (WINNER) — pitch by Tara Thiagarajan, Founder & Chief Scientist
*MyndYou — pitch by Shira Yama Nir, Project Manager
*Judged by: Bill Tucker, Senior Advisor to the K12 Education Program at the Bill & Melinda Gates Foundation; Eduardo Briceño, CEO and Co-founder of Mindset Works; John Cammack, Angel Investor; Neil Allison, Director of Business Model Innovation at Pearson North America
*Álvaro Fernández, CEO and Editor-in-Chief of SharpBrains
*Sarah Lenz Lock, Senior Vice President for Policy at AARP and Executive Director of the Global Council on Brain Health (GCBH)
*Dr. April Benasich, Director of the Baby Lab at the Rutgers Center for Molecular and Behavioral Neuroscience
*Chaired by: Dr. Cori Lathan, Co-Chair of the World Economic Forum’s Council on the Future of Human Enhancement
Slidedeck supporting session held during the 2017 SharpBrains Virtual Summit: Brain Health & Enhancement in the Digital Age (December 5-7th). Learn more at: https://sharpbrains.com/summit-2017/
Research process funding local_services_generalRanjan sahoo
General research processes,funding in Local services and in General. Local services like what sulekha does,urbanclap and just dial does. It also talks about research funding and evaluation in local services like home services,home improvement,packers and movers, education, health care
Navigating complexity groups a set of principles and activities into a compass. It helps leaders and agilists at any level of the organisation. Apart from inhouse solutions, you can explore the compass in a 3 day public training offer.
AI today and its power to transform healthcareBonnie Cheuk
[Dr Bonnie Cheuk's Presentation at Digital Leadership Forum, 1 Apr 2021] AI sounds so magical. What exactly is AI? How humans learn and how data-driven AI Machines learn differ greatly. We need to set the right expectation as to what AI can do and create value. In this 20-min presentation, Bonnie shared a few (surprising) examples how AI has been applied in the business. You will learn that AI requires us to understand the future of work requires humans and machines to collaborate as diverse team members. Humans need to build learning agility to ensure we trust and learn to challenge AI solutions at the same time. Learning agility is defined as 5 work habits to empower humans to continuously learn and unlearn as we carry out our day-to-day work and life. AI requires us to focus on human experience, and be human centric. Learn more about my thinking on https://sense-making.org/bonniecheuk/ or https://sense-making.org/videos-audio-lectures/
2018 Feb 03 Becoming a Better Student - [ab] - for Methodist Engineering Co...viswanadham vangapally
2018 Feb 03 Becoming a Better Student - [ab] - for Methodist Engineering College, Hyderabad
This power point presentation was used for a session with the first year Engineering Students of Methodist Engineering College. The live audio recording of the session, mainly in English, with a sprinkling of Hindi and Telugu, can be easily accessed:
https://archive.org/details/180203000BaBEngineeringStudentMethodist
You are most welcome to give your valuable feedback:
viswam.vangapally@gmail.com
Curiosity: the blessing and the curse of the PhD entrepreneurCristina Escoda
Learning how to properly channel curiosity is one of the hardest challenges faced by the experienced researcher venturing into entrepreneurship.
Curiosity is defined as "an eager desire to know or learn about something”, and it is the main driver behind the scientist's inquisitive thinking.
But curiosity can also be a distracting force for the PhD entrepreneur, keeping her in a contemplative state rather than helping her achieve the action-driven state of mind necessary for a successful commercial venture.
Carving out Future Brain Health Directions + Expo DaySharpBrains
Expo Day (first part) @ 2014 SharpBrains Virtual Summit. Summit Sponsors announce and showcase their latest initiatives and solutions:
8–8.20am. Carving out future directions, by Dr. Ken Kosik, Co-Director of the UC Santa Barbara Neuroscience Research Institute
Expo Day
8:45–9.15am. Rosetta Stone/ FitBrains: Steve Quan, Head of Business Development & Strategic Partnerships
9.30-10am. Peak: Roy Zahut, Lead Scientist
10.15–10.45am. Baycrest/ Cogniciti: Mike Meagher, President of Cogniciti
11–11.30am. The Arrowsmith Program: Jessica Poulin, Managing Director
Learn more here:
http://sharpbrains.com/summit-2014/agenda/
Making Critical Thinking Real with Digital Content - CUE 2017Julie Evans
Let’s get digital with critical thinking. Using art, science and civics as the context, this workshop examines new digital content for developing and measuring critical thinking skill development. Participants need to bring in their own device.
Skills for industry 4.0 , learnagility, practical intelligence, deliberate practice, competency, Industrie 4.0, 21st century skills, higher order thinking skills,
At InsightNG, we’re always thinking about the future. While our innovative platform has the potential to help solve real and complex problems, we’re aiming higher: we’re determined to empower everyone we touch. Our vision is to help people improve their understanding of the complex challenges or subject matter they encounter every day - whether at school, work or at home.
At InsightNG we’re excited at the possibility of bridging the gap between people and technology: bringing together the wealth of human experience and knowledge and the incredible advances of technology to create something altogether new.
We anticipate a future where people and intelligent technology work together to solve specific problems and challenges – your challenges. The technology we’ve developed, Your Smartest Friend, understands your life, your context.
Our ultimate goal is to create the Cognitive Fabric of a Global Brain, that harnesses distributed intelligence to facilitate the expansion of human understanding and the flexibility in the way each of us perceives the challenges we face.
This discussion document is intended to share our thinking and seek out like-minded individuals or organizations who would like chat or collaborate around areas of mutual interests.
Working Successfully with Emerging Technologies and InnovationsEDUCAUSE
Continuously innovating and transforming our current practices is critical to keep pace with teaching and learning as it evolves. While there is no shortage of candidate innovations, the process by which to discover them, to select them for pilots, and to consider full-scale implementation, can be challenging. How should incubator models be structured? What should be the goals of innovation within our technology portfolios? How should we select technologies to pilot? What processes or rubrics are effective in pilots? Resources: http://tinyurl.com/goodpilot
Fairification experience clarifying the semantics of data matricesPistoia Alliance
This webinar presents the Statistics Ontology, STATO which is a semantic framework to support the creation of standardized analysis reports to help with review of results in the form of data matrices. STATO includes a hierarchy of classes and a vocabulary for annotating statistical methods used in life, natural and biomedical sciences investigations, text mining and statistical analyses.
Innovation applications of microphysiological systems (MPS) have been growing over the past decade, especially with respect to the use of complex human tissues for assessing safety of drug candidates – but broad industry adoption of MPS methods has not yet become a reality.
This webinar addresses some recent advances in MPS development and begins to explore the barriers to increased incorporation of MPS to improve drug safety assessment and to provide safer, more effective drugs into the clinical pipeline.
Federated Learning (FL) is a learning paradigm that enables collaborative learning without centralizing datasets. In this webinar, NVIDIA present the concept of FL and discuss how it can help overcome some of the barriers seen in the development of AI-based solutions for pharma, genomics and healthcare. Following the presentation, the panel debate on other elements that could drive the adoption of digital approaches more widely and help answer currently intractable science and business questions.
It seems that AI is also becoming a buzzword, like design thinking. Everyone is talking about AI or wants to have AI, and sees all the ideas and benefits – that’s fine, but how do you get started? But what’s different now? Three innovations have finally put AI on the fast track: Big Data, with the internet and sensors everywhere; massive computing power, especially through the Cloud; and the development of breakthrough algorithms, so computers can be trained to accomplish more sophisticated tasks on their own with deep learning. If you use new technology, you need to explore and know what’s possible. With design thinking, it aids to outline the steps and define the ways in which you’re going to create the solution. Starting with mapping the customer journey, defining who will be using that service enhanced with intelligent technology, or who will benefit and gain value from it. We discuss how these two worlds are coming together, and how you get started to transform your venture with Artificial Intelligence using Design Thinking.
Speaker: Claudio Mirti, Principal Solution Specialist – Data & AI, Microsoft
Themes and objectives:
To position FAIR as a key enabler to automate and accelerate R&D process workflows
FAIR Implementation within the context of a use case
Grounded in precise outcomes (e.g. faster and bigger science / more reuse of data to enhance value / increased ability to share data for collaboration and partnership)
To make data actionable through FAIR interoperability
Speakers:
Mathew Woodwark,Head of Data Infrastructure and Tools, Data Science & AI, AstraZeneca
Erik Schultes, International Science Coordinator, GO-FAIR
Georges Heiter, Founder & CEO, Databiology
Knowledge graphs ilaria maresi the hyve 23apr2020Pistoia Alliance
Data for drug discovery and healthcare is often trapped in silos which hampers effective interpretation and reuse. To remedy this, such data needs to be linked both internally and to external sources to make a FAIR data landscape which can power semantic models and knowledge graphs.
2020.04.07 automated molecular design and the bradshaw platform webinarPistoia Alliance
This presentation described how data-driven chemoinformatics methods may automate much of what has historically been done by a medicinal chemist. It explored what is reasonable to expect “AI” approaches might achieve, and what is best left with a human expert. The implications of automation for the human-machine interface were explored and illustrated with examples from Bradshaw, GSK’s experimental automated design environment.
This presentation reviewed the challenges in identifying, acquiring and utilizing research data in relation to an evolving data market. Strategic solutions were examined in which the FAIR principles play a key role in the future of data management.
Dr. Dennis Wang discusses possible ways to enable ML methods to be more powerful for discovery and to reduce ambiguity within translational medicine, allowing data-informed decision-making to deliver the next generation of diagnostics and therapeutics to patients quicker, at lowered costs, and at scale.
The talk by Dr. Dennis Wang was followed by a panel discussion with Mr. Albert Wang, M. Eng., Head, IT Business Partner, Translational Research & Technologies, Bristol-Myers Squibb.
With the explosion of interest in both enhanced knowledge management and open science, the past few years have seen considerable discussion about making scientific data “FAIR” — findable, accessible, interoperable, and reusable. The problem is that most scientific datasets are not FAIR. When left to their own devices, scientists do an absolutely terrible job creating the metadata that describe the experimental datasets that make their way in online repositories. The lack of standardization makes it extremely difficult for other investigators to locate relevant datasets, to re-analyse them, and to integrate those datasets with other data. The Center for Expanded Data Annotation and Retrieval (CEDAR) has the goal of enhancing the authoring of experimental metadata to make online datasets more useful to the scientific community. The CEDAR work bench for metadata management will be presented in this webinar. CEDAR illustrates the importance of semantic technology to driving open science. It also demonstrates a means for simplifying access to scientific data sets and enhancing the reuse of the data to drive new discoveries.
Open interoperability standards, tools and services at EMBL-EBIPistoia Alliance
In this webinar Dr Henriette Harmse from EMBL-EBI presents how they are using their ontology services at EMBL-EBI to scale up the annotation of data and deliver added value through ontologies and semantics to their users.
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.
In the late Fall and Winter of 2018, the Pistoia Alliance in cooperation with Elsevier and charitable organizations Cures within Reach and Mission: Cure ran a datathon aiming to find drugs suitable for treatment of childhood chronic pancreatitis, a rare disease that causes extreme suffering. The datathon resulted in identification of four candidate compounds in a short time frame of just under three months. In this webinar our speakers discuss the technologies that made this leap possible
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
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Briefly touch on the urgent need to re-design the drug discovery paradigm – based on widespread x-company / academia collaborations supported by computer-based technologies
Describe at high-level the need for a life science R&D information eco-system (jointly provided by industrial-strength technology companies able to deploy applications that interplay through the use of standards) to support both public/private data as well as management and analysis tools outside the firewall and in the cloud.
Conclude by challenging the Pistoia Alliance to do something over and above what it is already doing to contribute to this information ecosystem and state how Wingu will attempt to support the vision!