Name: Accelerating Scientific Data Ecosystems using Azure HPC
Start: 2022-03-03T20:00:00Z
End: 2022-03-03T20:00:37.000Z
Location: BrightTALK
Rating: 4.5

Join us in the latest series of High-performance computing (HPC) webinars led by top Microsoft partners to learn how to plan, implement, optimize, and manage your HPC solutions running on Azure.  Each webinar will focus on targeted industry solutions highlighting business benefits, solution capabilities, and architectural options to support your computing needs.  Connect with experts who can help develop and implement a cloud strategy that scales to match your growing enterprise.  

If you are in the middle of your corporate digital transformation journey, and you are aiming to also include your High-Performance Computing (HPC) environment, you might consider UberCloud's Engineering Simulation Environment as well. But moving HPC workstations, servers, and applications to Azure yourself requires expertise, people, and time, and trying this yourself might come with high risk. The alternative is to work with experts in this field like UberCloud, and make use of our latest award-winning, fully automated, and self-service engineering simulation platform and our unique HPC containers hosting all your simulation workflows.
 
In this webinar, you will learn about the:
- on-boarding process supported by UberCloud together with the Azure team
- UberCloud Engineering Simulation Platform and workflow containers, and how other companies have adopted the cloud 
- major benefits for your business and your product development
 
And we let partners and customers have their say about their use of the Azure/UberCloud simulation platform and their HPC simulation workflow containers:
 
Antigoni Chrysostomou, EMEA Business Leader for Azure HPC
Gilberto Osornio Nieto, Senior CFD Engineer at Buro Happold
Manfred Ferstl, Head of IT Infrastructure at DEHN
Johan Mikkelä, Head of Solution Architecture at FLSmidth
Ivan Krajinović, Simulations Manager at Rimac Automobili
 
ABOUT UBERCLOUD
UberCloud enables engineers to access and use enormous computing capacity in the simplest way possible in the cloud. Unlike traditional corporate computing silos and their high capital and operating costs, UberCloud helps companies seamlessly integrate HPC into their ‘cloud-first’ strategy, with UberCloud’s fully automated, self-service, multi-cloud Engineering Simulation Platform and HPC containers.
 
UberCloud has been recognized and awarded multiple times internationally by Gartner, Hyperion, IDC, 451 Research, HPCwire as a pioneer in ‘Technical Computing as a Service’.

Unlock the Benefits of HPC Cloud for Compute- and Data-Intensive Workflows

Cloud Computing is driving digital transformations across biopharma and life sciences research institutions. How are organizations architecting, engineering, and optimizing their business and technology culture to take advantage of trends in tools, techniques, and platforms? BioTeam is an independent life sciences consulting company working at the intersection of science, technology, and data. This webinar will be a deep dive on biopharma and life sciences uses cases with advanced capabilities enabled by Azure HPC products and services. 

ABOUT BIOTEAM:
BioTeam is a life sciences IT consulting company passionate about accelerating scientific discovery by closing the gap between what scientists want to do with data—and what they can do.  

Working at the intersection of science, data, and technology since 2002, BioTeam has the interdisciplinary capabilities to apply strategies, advanced technologies, and IT services that solve the most challenging research, technical, and operational problems. 

Skilled at translating scientific needs into powerful scientific data ecosystems, we take pride in our ability to partner with a broad range of leaders in life science research, from biotech startups to the largest global pharmaceutical companies, from federal government agencies to academic research institutions.

Accelerating Scientific Data Ecosystems using Azure HPC

Actuarial modelling systems are requiring an increase in accessible and effective compute power to perform more granular and data-intensive modelling in shorter time frames, especially when stochastic calculations are involved. 

In this webinar, Moody’s Analytics will discuss the challenges of the evolving life actuarial function, and the success of working with Microsoft to deploy our actuarial modelling solutions in the HPC Cloud to access, manage and exploit unlimited compute power. Allowing insurers to achieve critical calculation outcomes faster and more economically, leading to more informed financial risk modelling and decision making.

About Moody’s Analytics:  
Moody’s Analytics provides insurers with industry-leading risk, finance and accounting solutions delivered through high-performance, modular, and configurable software. We combine research excellence with leading-edge enterprise technology. Our unique combination of software, modelling, content, and research delivers comprehensive solutions efficiently while reducing up-front implementation and the ongoing costs of maintenance and continuous technological improvements.

Embedding Cloud Technologies to Enhance the Actuarial Modelling Function

Insurance relies on data, but needs Actuaries to bring data fluency to unlock value from that data. Providing actuaries with the ability to easily manage and manipulate data in a solution directly integrated with their risk models enables better, faster and cheaper risk management and optimization of the returns on capital an insurer can achieve. In this webinar, Milliman will discuss how we are working with Microsoft to provide integrated, cloud native, data and risk modelling solutions. 

About Milliman  
Milliman is among the world’s largest providers of actuarial, risk management, and related technology and data solutions. Our consulting and advanced analytics capabilities encompass healthcare, property and casualty insurance, life insurance and financial services, and employee benefits.

Integrated Data and Risk Modelling Using a Cloud Native Solution

Join Owen Thomas, senior partner and co-founder of Red Oak Consulting, as we talk about the capability of spinning up an HPC cluster, in the cloud, in a under an hour. Sounds good, doesn’t it, that speed and agility at your fingertips!?  But what happens if everyone goes off and builds their own HPC clusters? We will talk about the implications to your IT practices and to your business in general.   
    
• What are the risks?     
• What are the things to look for?    
• What needs to change in your IT set-up?      
• What can you do to get the best from this very agile technology?       
 
ABOUT RED OAK CONSULTING    
Red Oak Consulting was formed to bring highly skilled, experienced HPC consultancy to all.  Today, our skillset incorporates Cloud Computing.  Our business has been built on our core values which are at the heart of everything we do: Professionalism, Trust, Integrity, Expertise, and the Customer.

What happens to your IT practices when you spin up a HPC cluster in an hour?

This webinar will discuss and demonstrate how bioinformaticians and data practitioners can create, manage and optimize their data pipelines in the Azure cloud, increasing productivity, reducing the need to manage IT infrastructure, and ultimately allowing them to do more science.

Agenda: 
Introduction - Rob Lalonde, Seqera Labs
Seqera and Nextflow Solutions - Evan Floden, CEO, Seqera Labs
HPC on the Azure Cloud - Angel Caballero, HPC Specialist, Microsoft
Real World Bioinformatics at Weill Cornell Medicine - Manuele Simi, Sr. Software Engineer, Weill Cornell Medicine
Roundtable/Q&A - All speakers

About Seqera Labs
Seqera Labs is the leading provider of workflow orchestration software required for data pipeline processing, multi-cloud infrastructure provisioning, and secure collaboration. The core open-source technology Nextflow has transformed the building of massively scalable and distributed computing solutions. The software enables developers and data scientists to create and securely deploy data applications in the cloud and/or on traditional on-premise infrastructure. The company’s products are widely used by leaders in the life sciences segment and are now being adopted by enterprises across all computational-intense, data pipeline applications, including for machine learning and AI, manufacturing, and financial services. Learn more at www.seqera.io.

Optimizing Bioinformatics and Data Workflows in the Azure Cloud

In this webinar, we will discuss best practices aimed at accelerating the time from choice to execution to results. To minimize your time-to-results, it’s critical you make the right choices for your specific use case … and then execute. But the right choices aren’t always obvious, and requirements may change from run-to-run. When faced with the almost daunting array of possibilities offered by public clouds such as Microsoft Azure, is there a sensible way to proceed?  

We take a deeper dive in two ways:   

1. Making the transition to oneAPI ASAP – as oneAPI eliminates the need to choose  
2. Fast-tracking your HPC cloud use with blueprints – as blueprints eliminate IT as a distraction from your science or engineering   

The best way to get a ‘feel’ for oneAPI-based blueprints is to see them in action. In this webinar, specific examples will include:  

•  oneAPI blueprints for developers – by making use of Microsoft Visual Studio with the Intel oneAPI toolchain on Azure  
•  Blueprints for the Life Sciences – using GROMACS simulations for the purpose of illustration 
•  Blueprints for manufacturing – featuring Computational Fluid Dynamics (CFD)   
  
ABOUT TERAWE 
Terawe is a value-added services and solutions provider that embraces AI, blockchain, HPC, IoT, and mixed reality from the cloud to the edge to create custom and packaged products and offerings for customers worldwide. Terawe is headquartered in Bellevue, WA, with offices distributed globally. As a Gold Partner with numerous Microsoft technical competencies, Terawe is an elite Azure HPC partner and collaborator that has established a center of excellence in partnership with Intel.    

www.terawe.com

Embracing Choice Without Sacrificing Time-to-Results with Intel on Azure HPC

Balance Sheet Management (BSM) has been the cornerstone of every successful bank, guiding them through uncertain times. With growing demands from multiple stakeholders and evolving business models, agile and proactive balance sheet management has gained prominence.   

In this webinar, we will discuss how BSM-on-Cloud: 
1. Provides the crucial ability to become nimbler and more responsive to the dynamic economic, regulatory, and geopolitical environments
2. Enables development of more effective and profitable business models
3. Leads to optimization of IT strategies through multiple deployment options

ABOUT FIS 

FIS is a leading provider of technology solutions for merchants, banks and capital markets firms globally. Our employees are dedicated to advancing the way the world pays, banks and invests by applying our scale, deep expertise and data-driven insights. We help our clients use technology in innovative ways to solve business-critical challenges and deliver superior experiences for their customers.    

Headquartered in Jacksonville, Florida, FIS ranks #241 on the 2021 Fortune 500 and is a member of Standard & Poor’s 500® Index.   

To learn more, visit www.fisglobal.com. Follow FIS on Facebook, LinkedIn and Twitter (@FISGlobal).

Balance Sheet Management Cloud Agility

Cloud has democratized access to increasing compute power by lowering barriers to entry, creating the flexibility to scale elastically, and enabling distributed workloads. But there is more to moving EDA to the cloud than simply swapping on-prem hardware for cloud; software needs the same license flexibility and elasticity to match. Learn how Synopsys Cloud’s disruptive technology is reinventing and optimizing electronic design automation workflows to ensure maximum performance, enabling semiconductor designers to harness the full potential of the cloud.
 
About Synopsys 
Synopsys is the world’s leading provider of solutions for designing and verifying advanced semiconductor products. Scaling high performance computing on cloud presents a unique opportunity to accelerate the design and verification process of silicon chips. Learn how to bring your semiconductor products to market faster using Synopsys electronic design automation products on the Microsoft Azure platform.  

www.synopsys.com

Rapidly Scale and Reduce Time-to-Market for Your Designs with Synopsys Cloud

Actuarial modelling systems are requiring an increase in accessible and effective compute power to perform more granular and data intensive modelling in shorter time frames, especially when stochastic calculations are involved. 

In this webinar, Moody’s Analytics will discuss the challenges of the evolving life actuarial function, and the success of working with Microsoft to deploy our actuarial modelling solutions in the HPC Cloud to access, manage and exploit unlimited compute power. Allowing insurers to achieve critical calculation outcomes faster and more economically, leading to more informed financial risk modelling and decision making.

About Moody’s Analytics  
Moody’s Analytics provides insurers with industry-leading risk, finance and accounting solutions delivered through high-performance, modular, and configurable software. We combine research excellence with leading-edge enterprise technology. Our unique combination of software, modeling, content, and research delivers comprehensive solutions efficiently, while reducing up-front implementation and the ongoing costs of maintenance and continuous technological improvements.

Embedding Cloud Technologies to Enhance the Actuarial Modeling Function

速石科技（fastone）致力于构建为应用定义的云，让任何应用程序，始终以自动化、更优化和可扩展的方式，在任何基础架构上运行。我们为有高算力需求的用户提供一站式azure算力运营解决方案。基于本地+公有混合云环境的灵活部署及交付，帮助用户提升10-20倍业务运算效率，降低成本达到75%以上，加快市场响应速度。我们提供为应用优化的一站式交付平台，对药物研发/基因分析/CAE/EDA/AI等行业应用进行分析与加速，通过Serverless框架屏蔽底层IT技术细节，实现用户对本地和azure资源无差别访问。/Fastone is committed to building a cloud defined for applications, enabling any application to always run on any infrastructure in an automated, optimized and scalable manner. We provide one-stop Azure computing power operation solution for users with high computing power requirements. Flexible deployment and delivery based on local + public hybrid cloud environment can help users improve their business computing efficiency by 10-20 times, reduce costs by more than 75% and speed up market response. We provide a one-stop delivery platform optimized for applications, analyzing and accelerating pharmaceutical R&D/genetic analysis /CAE/EDA/AI and other industry applications, shielding underlying IT technical details through the Server less framework, enabling users to have undifferentiated access to local and Azure resources.

应用定义云 - 基于azure大规模算力自动化智能调度

Insurance companies need to comply with an increasing number of regulatory requirements, implementing these may require big changes to existing IT systems and business processes.     

In this webinar, Moody's Analytics and Microsoft will discuss how insurers should consider SaaS deployments to derive additional benefits beyond compliance. We will share best practice advice for those embarking on their Cloud journey and the benefits Moody’s Analytics customers have achieved by adopting a SaaS-based solution to meet their IFRS 17 financial reporting requirements.  

ABOUT MOODY'S ANALYTICS
Moody’s Analytics provides insurers with industry-leading risk, finance and accounting solutions delivered through high-performance, modular, and configurable software. We combine research excellence with leading-edge enterprise technology. Our unique combination of software, modeling, content, and research delivers comprehensive solutions efficiently, while reducing up-front implementation and the ongoing costs of maintenance and continuous technological improvements.

The Benefits of SaaS Deployment to Address Insurance Regulatory Requirements

In this session we will hear about how cloud scalability is opening up exciting new possibilities in Capital Modelling for Property and Casualty Insurers. Previously it would take hours to run a single model, now many models can be run in parallel in just minutes. The session will cover various aspects such as architecture, security and some of the ways this new capability is being put to use. We will also hear about the experiences in the Life Insurance market which has been using this technology for a number of years. 

ABOUT WILLIS TOWERS WATSON
Willis Towers Watson provides a powerful combination of advisory services for insurance companies, integrated with leading-edge technology solutions, all underpinned by unparalleled analytical capability.

Cloud scalability – a Game Changer for P&C Capital Modelling

In this session we will hear about how cloud scalability is opening up exciting new possibilities in Capital Modelling for Property and Casualty Insurers. Previously it would take hours to run a single model; now many models can be run in parallel in just minutes. The session will cover various aspects such as architecture, security and some of the ways this new capability is being put to use. We will also hear about the experiences in the Life Insurance market which has been using this technology for a number of years.  

ABOUT WILLIS TOWERS WATSON
 Willis Towers Watson provides a powerful combination of advisory services for insurance companies, integrated with leading-edge technology solutions, all underpinned by unparalleled analytical capability.

For nearly two decades compute cycles have been the primary, often only, dimension considered for scheduling jobs in an HPC infrastructure.  Now, HPC has gone multi-dimensional. 
 
Competitive HPC systems optimize for more than CPUs and even GPUs. They can schedule across the many critical dimensions of modern infrastructure including software licenses, data storage requirements, and importantly, to and between owned on-premise resources and on-demand assets in the cloud. 

In this webinar, Altair and Microsoft will discuss three workload management capabilities that are critical to ensuring your high-performance computing infrastructure can optimize the use of cloud resources and edge out the competition in today’s multi-dimensional cloud landscape. 

Topics will include: 
 • License-aware scheduling in the cloud 
 • Storage (I/O- aware) scheduling
 • Cloud scaling, migration and automation 

Who Should Attend? 
This webinar is ideal for HPC and IT stakeholders and enthusiasts interested in an introduction to multi-dimensional job scheduling. Attendees will come away with an understanding of the distinct cloud scaling, migration and automation tools that can empower their organization to optimize the use of cloud resources in Microsoft Azure, as well as how to leverage license-aware scheduling and storage/I/O to achieve breakthrough results. Attendees will be able to participate in a live Q&A with our expert hosts and fellow attendees.

About Altair (Nasdaq: ALTR) 
Altair is a global technology company that provides software and cloud solutions in the areas of simulation, high-performance computing (HPC), and artificial intelligence (AI). Altair enables organizations across broad industry segments to compete more effectively in a connected world while creating a more sustainable future. To learn more, please visit www.altair.com.

Multi-dimensional HPC for Breakthrough Results in the Cloud

Life insurers are facing increased pressures on both people and infrastructure. This may be due to increased competition, greater regulatory demands, or simply more uncertainty. In turn senior management requires more detailed, frequent, and timely management information and investigation. To meet these pressures, insurers require a highly robust, scalable, and efficient risk modelling platform. 

In this webinar, Milliman and Microsoft will discuss how to empower risk teams to handle such pressures, exploring the uses of cloud technology within the context of insurance risk modelling.

Who Should Attend?
This webinar is ideal for senior managers in life insurers or connected businesses looking to improve efficiency and derive more value from their insurance risk modelling. Attendees will come away with an understanding of the benefits that Azure based data management, calculation, and reporting solutions can provide. Attendees will be able to participate in a Q&A with our expert hosts.

About Milliman
Milliman is among the world’s largest providers of actuarial, risk management, and related technology and data solutions. Our consulting and advanced analytics capabilities encompass healthcare, property and casualty insurance, life insurance and financial services, and employee benefits.

Increasing the Value of Insurance Risk Models with Timely Insights at Lower Cost

Cloud Computing is driving digital transformations across biopharma and life sciences research institutions. How are organizations architecting, engineering, and optimizing their business and technology culture to take advantage of trends in tools, techniques, and platforms? BioTeam is an independent life sciences consulting company working at the intersection of science, technology, and data. This webinar will be a deep dive on biopharma and life sciences uses cases with advanced capabilities enabled by Azure HPC products and services. 

ABOUT BIOTEAM
BioTeam is a life sciences IT consulting company passionate about accelerating scientific discovery by closing the gap between what scientists want to do with data—and what they can do.  

Working at the intersection of science, data and technology since 2002, BioTeam has the interdisciplinary capabilities to apply strategies, advanced technologies, and IT services that solve the most challenging research, technical, and operational problems. 

Skilled at translating scientific needs into powerful scientific data ecosystems, we take pride in our ability to partner with a broad range of leaders in life science research, from biotech startups to the largest global pharmaceutical companies, from federal government agencies to academic research institutions.

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Accelerating Scientific Data Ecosystems using Azure HPC

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