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Red Hat Joins Forces with U.S. Department of Energy Laboratories to Bridge the Gap Between High Performance Computing and Cloud Environments -…

RALEIGH, N.C.--(BUSINESS WIRE)--Red Hat, Inc., the world's leading provider of open source solutions, today announced it is collaborating with multiple U.S. Department of Energy (DOE) laboratories to bolster cloud-native standards and practices in high-performance computing (HPC), including Lawrence Berkeley National Laboratory, Lawrence Livermore National Laboratory, and Sandia National Laboratories.

Adoption of HPC is expanding beyond traditional use cases. Advancements in artificial intelligence, machine learning and deep learning, as well as compute and data-driven analytics, is driving greater interest and need for organizations to be able to run scalable containerized workloads on traditional HPC infrastructure. According to industry analyst firm Hyperion Research, roughly one-third of all HPC system revenue will be dedicated to AI-centric systems by 2025, showing nearly 23% CAGR over the five year period1, driven by the influx of AI workloads. Additionally, nearly 20% of HPC users' HPC-enabled AI workloads are currently being run in the cloud.2

Red Hat is a leader in cloud-native innovation across hybrid and multicloud environments, while laboratories understand the needs and unique demands of massive-scale HPC deployments. By establishing a common foundation of technology best practices, this collaboration seeks to use standardized container platforms to link HPC and cloud computing footprints, helping to fill potential gaps in building cloud-friendly HPC applications while creating common usage patterns for industry, enterprise and HPC deployments.

Together with the laboratories, Red Hat will focus on advancing four specific areas that address current gaps and help lay the groundwork for exascale computing, including standardization, scale, cloud-native application development, and container storage. Examples of collaborative projects between Red Hat and DOE laboratories includes:

Bringing standard container technologies to HPC Red Hat and the National Energy Research Scientific Computing Center (NERSC) at Berkeley Lab recognize the importance of standard-based solutions in enabling computing innovation, especially when technologies must span from the edge to the cloud to HPC environments. From container security to scaling containerized workloads, common, accepted practices help HPC sites to get the most from container technologies. To better meet the unique requirements for large scale HPC systems and pave the way for organizations to be able to take advantage of containers in exascale computing, Red Hat and NERSC are collaborating on enhancements to Podman, a daemonless container engine for developing, managing and running container images on a Linux system, to enable it to replace NERSCs custom development runtime, Shifter.

Running Kubernetes at massive scale Red Hat has been collaborating with Sandia National Laboratories on the SuperContainers project for several years, working to make Linux containers and other building blocks of cloud-native computing more readily accessible to supercomputing operations. In this expanded collaboration, Red Hat and Sandia National Laboratories intend to explore the deployment scenarios of Kubernetes-based infrastructure at extreme scale, providing easier, well-defined mechanisms for delivering containerized workloads to users.

Bridging traditional HPC jobs with cloud-native workloads Red Hat and Lawrence Livermore National Laboratory are collaborating to bring HPC job schedulers, such as Flux, to Kubernetes through a standardized programmatic interface helping IT teams supporting supercomputing operations to better manage traditional parallel workflows alongside containerized jobs, including how this mix of technologies operates with low-level hardware devices, like accelerators or high-speed networks.

Reimagining storage for containers For containers to be used effectively across both HPC and commercial cloud resources, a set of standard interfaces is needed in order to manage various container image formats and for providing access to distributed file systems. Red Hat and the three DOE National Laboratories aim to define the mechanisms by which container images can be migrated from and deployed with other container engines, allowing users to freely move their applications across popular container runtime platforms, as well as create mechanisms that allow containers to use distributed file systems as persistent storage.

Through the collaboration and Red Hat's experience supporting some of the most powerful supercomputers in the world, HPC sites will be able to abstract the immense complexities their environments can present, benefiting the range of United States exascale machines being deployed by DOE.

Supporting QuotesChris Wright, senior vice president and chief technology officer, Red HatThe HPC community has served as the proving ground for compute-intensive applications, embracing containers early on to help deal with a new set of scientific challenges and problems. That led to the lack of standardization across various HPC sites creating barriers to building and deploying containerized applications that can effectively span large-scale HPC, commercial and cloud environments, while also taking advantage of emerging hardware accelerators. Through our collaboration with leading laboratories, we are working to remove these barriers, opening the door to liberating next-generation HPC workloads.

Earl Joseph, Ph.D., chief executive officer, Hyperion ResearchHigh performance computing infrastructure must adapt to the requirements of today's heterogeneous workloads, including workloads that use containers. Red Hats partnership with the DOE labs is designed to allow the new generation of HPC applications to run in containers at exascale while utilizing distributed file system storage, providing a strong example of collaboration between industry and research leaders."

Shane Canon, senior engineer, Lawrence Berkeley National LaboratoryThe collaboration with the Podman community and Red Hat engineers is helping us to explore and co-develop enhancements that will allow Podman to scale and perform for the largest HPC workloads. We have already demonstrated this across 512 GPU nodes on Perlmutter. NERSC sees a convergence of HPC and cloud-native workloads, and Podman can be an important tool in helping to bridge between these two worlds.

Bronis R. de Supinski, chief technology officer, Lawrence Livermore National LaboratoryHigh performance computing infrastructure is becoming more diverse and is increasingly being used to run non-traditional HPC workflows. We need to provide mechanisms for scheduling various types of workflows and expect container orchestration frameworks like Kubernetes and Red Hat OpenShift to be a significant part of the software ecosystem effectively contributing to the convergence of the HPC and cloud realms.

Andrew J. Younge, Ph.D., R&D manager and computer scientist, Sandia National LaboratoriesSandia and the DOE are seeing an increased need to support more diverse HPC workloads, beyond traditional batch-based modeling and simulation codes. This requires us to find new and innovative ways to enabling services, tasks, and data persistence models together within tight coordination with current simulation capabilities. Furthermore, workload portability remains an important consideration where containers are now a key component to our code deployment strategy. Sandias collaboration with Red Hat on Podman and Kubernetes-based OpenShift enables us to investigate approaches for delivering modeling and simulation capabilities as a service to Sandias designer and analyst communities.

Additional Resources

Connect with Red Hat

About Red Hat, Inc.Red Hat is the worlds leading provider of enterprise open source software solutions, using a community-powered approach to deliver reliable and high-performing Linux, hybrid cloud, container, and Kubernetes technologies. Red Hat helps customers integrate new and existing IT applications, develop cloud-native applications, standardize on our industry-leading operating system, and automate, secure, and manage complex environments. Award-winning support, training, and consulting services make Red Hat a trusted adviser to the Fortune 500. As a strategic partner to cloud providers, system integrators, application vendors, customers, and open source communities, Red Hat can help organizations prepare for the digital future.

Red Hats Forward-Looking StatementsExcept for the historical information and discussions contained herein, statements contained in this press release may constitute forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995. Forward-looking statements are based on the companys current assumptions regarding future business and financial performance. These statements involve a number of risks, uncertainties and other factors that could cause actual results to differ materially. Any forward-looking statement in this press release speaks only as of the date on which it is made. Except as required by law, the company assumes no obligation to update or revise any forward-looking statements.

Red Hat, the Red Hat logo and OpenShift are trademarks or registered trademarks of Red Hat, Inc. or its subsidiaries in the U.S. and other countries. Linux is the registered trademark of Linus Torvalds in the U.S. and other countries.

1 Source: Hyperion Research, Worldwide HPC-based Artificial Intelligence (AI) MarketForecast, 2020-2025

2 Source: Hyperion Research, HPC and Containers An Intriguing Combination

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Red Hat Joins Forces with U.S. Department of Energy Laboratories to Bridge the Gap Between High Performance Computing and Cloud Environments -...

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Healthcare Cloud Computing Market is Growing Rapidly with Recent Demand, Trends, Development, Revenue and Forecast to 2029 The Greater Binghamton…

The quality of Global Healthcare Cloud Computing Market market research report is at par which gains customer confidence and trust. This market report directs business in right direction by giving insights about products, market, customers, competitors and marketing strategy at right time. Hence it acts as a backbone to the business. This market report helps to develop a successful marketing strategy for the business. The business report is very helpful to all sizes of business which makes it simpler to take informed decisions in providing the different aspect of HEALTHCARE industry. The worldwide Global Healthcare Cloud Computing Market market report contains all the company profiles of the major players and brands.

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The Global Healthcare Cloud Computing Market market report also indicates a narrowed decisive summary of the market. Along with this, multiple factors which have affected the advancement and improvement in a positive as well as negative manner are also studied in the report. On the contrary, the various factors which will be acting as the opportunities for the development and growth of the Global Healthcare Cloud Computing Market market in the forecasted period are also mentioned.

A combination of best industry insight, practical solutions, talent solutions and latest technology has been used to structure an excellent Global Healthcare Cloud Computing Market market report. Thoroughly analysed market segmentation aspect provides a clear idea about the product consumption based on several factors ranging from type, application, deployment model, end user to geographical region. Moreover, drivers and restraints of the market assessed in this wide ranging report makes aware about how the product is getting utilized in the recent market environment and also provide estimations about the future usage. The proper utilization of established statistical tools and coherent models for analysis and forecasting of market data makes Global Healthcare Cloud Computing Market marketing report outperforming.

Top Keyplayers in Global Healthcare Cloud Computing Market Report:

CareCloud Corporation, Carestream Health, ClearDATA, Dell, NetDepot.com LLC, IBM Corporation, Iron Mountain Incorporated, IBM Watson Health, Cisco Systems Inc., HP Development Company, L.P., Microsoft, VMware, Inc., Salesforce.com, Inc., ClearDATA, SYNOPTEK, LLC., Cisco, Oracle, GE healthcare, CitiusTech Inc., Napier Healthcare Solutions Pte. Ltd., HealthAsyst, Optum, Inc., McKesson Corporation, 3M, Omnicell, Inc., Ciox Health, Wipro, Nuance Communications, Inc., Infosys Limited, and Cognizant, among others.

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Regional Analysis

U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.

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An excellent Global Healthcare Cloud Computing Market market research report has several benefits which can be projected to wide-ranging aspects of HEALTHCARE industry. It helps to draw target audiences for the clients before launching any advertising campaign. With the market report, it becomes easy to collect industry information more quickly. Moreover, this industry analysis report also solves the purpose of validating the information that has been gathered through internal or primary research. With the finest Global Healthcare Cloud Computing Market market report, it becomes possible to achieve holistic view of the market effectively and then also benchmark all the companies in the HEALTHCARE industry.

Highlights of TOC:

Chapter 1: Market overview

Chapter 2: Global Induction Global Healthcare Cloud Computing Market market analysis

Chapter 3: Regional analysis of the Induction Global Healthcare Cloud Computing Market industry

Chapter 4: Market segmentation based on types and applications

Chapter 5: Revenue analysis based on types and applications

Chapter 6: Market share

Chapter 7: Competitive Landscape

Chapter 8: Drivers, Restraints, Challenges, and Opportunities

Chapter 9: Gross Margin and Price Analysis

Goals and objectives of the Global Healthcare Cloud Computing Market Market Study

Understanding the opportunities and progress of Global Healthcare Cloud Computing Market Global Healthcare Cloud Computing Market market highlights, as well as key regions and countries involved in market growth.

Study the different segments of the Global Healthcare Cloud Computing Market market and the dynamics of Global Healthcare Cloud Computing Market in the market.

Categorize Global Healthcare Cloud Computing Market segments with increasing growth potential and evaluate the futuristic segment market

To analyze the most important trends related to the different segments that help to decipher and convince the Global Healthcare Cloud Computing Market market.

To verify region-specific growth and development in the Global Healthcare Cloud Computing Market market.

Understand the key stakeholders in the Global Healthcare Cloud Computing Market market and the value of the competitive image of the Global Healthcare Cloud Computing Market market leaders.

To study key plans, initiatives and strategies for the development of the Global Healthcare Cloud Computing Market market.

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United States Insurance Distribution Technology Market Report 2022: Impact of COVID-19 and Forecast up to 2026 – ResearchAndMarkets.com – Business…

DUBLIN--(BUSINESS WIRE)--The "The US Insurance Distribution Technology Market: Analysis By Function, By Application, By Technology Type, By End-User Size & Trends with Impact of COVID-19 and Forecast up to 2026" report has been added to ResearchAndMarkets.com's offering.

The US insurance distribution technology market was valued at US$181.37 billion in 2021 and is expected to reach US$261.59 billion by 2026.

Insurance distribution technologies mainly focuses on improving the efficiency of the existing insurance industry model. These technologies are also focusing on improving communications with the clients and capabilities to implement automation processes.

The US region offers strong growth potential to the insurance distribution technology market. Insurance technology firms have been showing significant growth in the areas of auto, homeownership, and cyber insurance. Such strong growth would stimulate traditional insurers to either acquire technology capabilities or partner with InsurTech companies.

With an increasing demand for innovative products and services from millennials, such collaboration would become a critical imperative. Due to such collaborations, traditional insurers would benefit from faster results in establishing a tech culture. The US insurance distribution technology market is projected to rise at a CAGR of 7.60% during the forecast period of 2022-2026.

Market Segmentation Analysis:

In 2021, the commission segment lead the insurance distribution technology market, accounted for around 40% share of the market. The commission segment is expected to experience high growth. The rising penetration of digital and telesales models is expected to increase the share of the broker commission. It is also expected that the bulk of integrated distributors' growth would come from the auto and individual health and Medicare markets as these both have a growing digital aspect.

The US advertising insurance distribution technology market can be further divided into five applications: Auto, Health, Life, Home, and SMB Commercial P&C. The US home advertising market is expected to grow significantly over the forecast period, owing to the rising development of back-end call centers in the home insurance markets, the growing use of connected devices to streamline processes, etc.

Cloud computing held the major share in the market. The cloud computing market is anticipated to grow at a CAGR of 26.8% during the year 2022-2026. The growth is expected to increase as cloud computing is a valuable delivery model that insurers can use to facilitate or accelerate business transformation. Moreover, cloud computing has a huge impact on the insurance industry, with benefits for internal processes, new customer acquisition, and building policyholders' loyalty.

Manufacturing, Transportation, Government, Healthcare, Retail, and Others. The healthcare segment is anticipated to grow at the highest CAGR of 19.7% during the forecasted period. The growth can be attributed to the widespread use of the platform and peer-to-peer business models and lower insurance premium rates leading to a rise in the number of policymakers.

The US Insurance Distribution Technology Market Dynamics:

Growth Drivers: One of the most important factors impacting insurance distribution technology market dynamics is the increasing use of mobile technology and applications. By using mobile app technology, the insurance distributors can now easily reach out to their tech-savvy customers. These apps are extremely useful and viewed as invaluable assets when it comes to claims. They are capable of capturing and transferring data quickly, making the process hassle-free and expediting the complete insurance-related claims process. Furthermore, the market has been growing over the past few years, due to factors such as soaring urban population, rising millennial population, rise in the use of internet to buy insurance products, integration of artificial intelligence (AI) with insurance, etc.

Challenges: However, the market has been confronted with some challenges specifically, security concerns, infrastructure bottlenecks, etc.

Trends: The market is projected to grow at a fast pace during the forecast period, due to various latest trends such as increasing use of social media as a distribution channel, rising personalization trend, growing adoption of telematics, rising penetration of cloud-based insurance technology services, escalating demand for digital self-service, collaboration with bigtechs, surging popularity of virtual insurance advisor, emergence of subscription models, growing adoption of connected insurance, increasing use of blockchain in insurance, rising popularity of gamification in insurance industry, etc.

Telematics refers to devices that merge telecommunications and information technology. With the proliferation of smartphones in the US, telematics has become a convenient method of data collection, with the ability to analyze information and compare data of users, improving underwriting with greater accuracy and efficiency. Therefore, it is expected that the growing adoption of telematics would further provide significant opportunities to the IT sector by making insurance distribution more efficient, and better coordinated.

Impact Analysis of COVID-19 and Way Forward:

The US insurance distribution technology market growth was positively influenced by the COVID-19 pandemic. The COVID-19 pandemic is forcing almost all organizations to speed up their digital transformation priorities. In regards to the insurance distribution technology industry, the most significant change is the growing interest throughout the pandemic in digital products that are more dynamic. This change would lead to much greater levels of personalization and so change the customer experience and value proposition. In post-COVID era, insurers must explore technologies like virtual reality, augmented reality, and virtual-visit solutions for facilitating virtual sales and intermediary enablement.

Competitive Landscape:

The US insurance distribution technology market is fragmented in nature, owing to the presence of a large number of small businesses catering to the demands of life and non-life insurance sectors.

Some of the strategies among key players in the market for insurance distribution technology market are partnerships, mergers, acquisitions, and collaborations. For Instance, Lemonade entered into an agreement in 2021 to acquire Metromile (the data science company focused on auto insurance).

Whereas, GoHealth has invested in multiple sectors such as HRTech, Employer Insurance, Employee Health IT, and more. MediaAlpha is one of the largest digital aggregator companies in the market. Whereas, companies such as GoHealth, Goosehead, and Porch are integrated distributors.

Insurance distribution technology firm's ability to promote insurance industry innovation by generating new products would aid insurance companies in meeting the changing needs of their customers. As a result, various insurance distribution technology companies are gaining traction by providing a new and diverse set of services.

The key players in the US insurance distribution technology market are:

Key Topics Covered:

1. Executive Summary

2. Introduction

2.1 Insurance Distribution Technology: An Overview

2.1.1 Introduction to Insurance Distribution

2.1.2 Introduction to Insurance Distribution Technology

2.2 Insurance Distribution Segmentation: An Overview

2.2.1 Insurance Distribution Segmentation

2.3 Insurance Distribution Technology Segmentation: An Overview

2.3.1 Insurance Distribution Technology Segmentation

3. The US Market Analysis

3.1 The US Insurance Distribution Market: An Analysis

3.2 The US Insurance Distribution Market: Application Analysis

3.3 The US Insurance Distribution Market: Segment Analysis

3.4 The US Insurance Distribution Technology Market: An Analysis

3.5 The US Insurance Distribution Technology Market: Function Analysis

3.6 The US Insurance Distribution Technology Market: Technology Type Analysis

3.7 The US Insurance Distribution Technology Market: End-User Analysis

4. Impact of COVID-19

4.1 Impact of COVID-19 on Insurance Industry

4.1.1 Impact of COVID-19 on Insurance Industry

4.2 Impact of COVID-19 on Insurance Technology Industry

4.2.1 Impact of COVID-19 on Insurance Technology Industry

5. Market Dynamics

5.1 Growth Driver

5.1.1 Soaring Urban Population

5.1.2 Rising Millennial Population

5.1.3 Rise in the Use of Internet to Buy Insurance Products

5.1.4 Increasing Use of Mobile Technology and Applications (Apps)

5.1.5 Integration of Artificial Intelligence (AI) with Insurance

5.2 Challenges

5.2.1 Security Concerns

5.2.2 Infrastructure Bottlenecks

5.3 Market Trends

5.3.1 Increasing Use of Social Media as a Distribution Channel

5.3.2 Rising Personalization Trend

5.3.3 Growing Adoption of Telematics

5.3.4 Rising Penetration of Cloud-based Insurance Technology Services

5.3.5 Escalating Demand for Digital Self-Service

5.3.6 Collaboration with BigTechs

5.3.7 Surging Popularity of Virtual Insurance Advisor

5.3.8 Emergence of Subscription Models

5.3.9 Growing Adoption of Connected Insurance

5.3.10 Increasing Use of Blockchain in Insurance

5.3.11 Rising Popularity of Gamification in Insurance Industry

6. Competitive Landscape

6.1 The US Insurance Distribution Technology Market Players by Business Models

7. Company Profiles

7.1 Business Overview

7.2 Operating Segment

7.3 Business Strategy

For more information about this report visit https://www.researchandmarkets.com/r/6qhgzm

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Cloud Computing Data Center IT Asset Disposition Market Size, Scope and Forecast | SAP Ariba, Sims Recycling, Apto Solutions, Iron Mountain,…

New Jersey, United States TheCloud Computing Data Center IT Asset Disposition Marketreport is the result of extensive and expert research into theCloud Computing Data Center IT Asset Dispositionindustry. TheCloud Computing Data Center IT Asset DispositionMarketreport explains what the market is all about, the market prognosis, several segmentations, and everything that falls under the markets umbrella. It also looks at major and secondary market drivers, market share, potential sales volume, regional analysis, and the markets key segments. The research also includes key variables that contribute to the markets growth as well as elements that might stifle the markets growth. The professionals at VM Reports applied precise research techniques and other analyses.

PESTLE analysis and SWOT analysis are two of the analyses utilized in theCloud Computing Data Center IT Asset DispositionMarketresearch, and they shed light on numerous internal and external variables that affect the market in every situation. It also includes a section that identifies strengths, weaknesses, opportunities, and threats, as well as Porters five forces model.

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There is also a section dedicated to significant actors and their plans, such as acquisitions, collaborations, and so on. The material in the Cloud Computing Data Center IT Asset Disposition Market research was gathered mostly via expert opinions, interviews, and surveys. Verified Market Research experts have created a Cloud Computing Data Center IT Asset Disposition Market research that is full of clarity, accuracy, and useful information. The data in the report is quite accurate and reliable, with no duplicates or mistakes.

Key Players Mentioned in the Cloud Computing Data Center IT Asset Disposition Market Research Report:

SAP Ariba, Sims Recycling, Apto Solutions, Iron Mountain, CloudBlue.

Cloud Computing Data Center IT Asset DispositionMarket Segmentation:

Global Cloud Computing Data Center IT Asset Disposition (ITAD) Market, By Asset Type

IT Equipment Support Infrastructure

Global Cloud Computing Data Center IT Asset Disposition (ITAD) Market, By Solution

Data Sanitization Recovery (Reuse, Resale and Remarketing) Recycling

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Cloud Computing Data Center IT Asset Disposition Market Report Scope

Key questions answered in the report:

1. Which are the five top players of the Cloud Computing Data Center IT Asset Disposition market?

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5. Which regional market will show the highest growth?

6. What will be the CAGR and size of the Cloud Computing Data Center IT Asset Disposition market throughout the forecast period?

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Cloud Computing in Government Market increasing demand with Industry Professionals: Adobe Systems, Blackboard The Greater Binghamton Business…

JCMRrecently broadcasted a new study in its database that highlights the in-depth market analysis with future prospects ofCloud Computing in Government market.The study covers significant data which makes the research document a handy resource for managers, industry executives and other key people get ready-to-access and self analyzed study along with graphs and tables to help understand market trends, drivers and market challenges. Some of the key players mentioned in this research areAdobe Systems, Blackboard, Cisco, Ellucian, Dell EMC, Instructure, Microsoft, NetApp, Oracle, Salesforce, SAP

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COVID-19 is an infectious disease caused by the most recently discovered novel corona virus. Largely unknown before the outbreak began in Wuhan (China) in December 2019, COVID-19 has moved from a regional crisis to a global pandemic in just a matter of a few weeks.

In addition, production and supply chain delays were also witnessed during the second quarter which poised a challenge to the Cloud Computing in Government market, since end-user industries were still not operating at their full capacity.

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What are the markets problems in Cloud Computing in Government?

Changing regulatory landscapes, operational barriers, and the emergence of alternative technologies are all impacting the Cloud Computing in Government industry.

What are the various types of segments covered in the Cloud Computing in Government Market?

[Segments]

Who are the top key players in the Cloud Computing in Government market?

Adobe Systems, Blackboard, Cisco, Ellucian, Dell EMC, Instructure, Microsoft, NetApp, Oracle, Salesforce, SAP

Which region is the most profitable for the Cloud Computing in Government market?

The emerging economies in the Asia Pacific region will be the lucrative markets for Cloud Computing in Government products. .

What is the current size of the Cloud Computing in Government market?

The current market size of global Cloud Computing in Government market is estimated to be USD XX in 2022.

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North America is the regions largest market forCloud Computing in Government.

North America includes countries such as the US, Canada, and Mexico. North America is the second-largest consumer and producer of electricity, after Asia Pacific. The US and Canada, which are among the largest consumers in this region as well as globally, constitute the largest share of theCloud Computing in Governmentmarket.

Secondary Research:

This Cloud Computing in Government research study made extensive use of secondary sources, directories, and databases such as Hoovers, Bloomberg BusinessWeek, Factiva, and OneSource to identify and collect information useful for a technical, market-oriented, and commercial study of the global portable generator market. Other secondary sources included company annual reports, press releases, and investor presentations, white papers, certified publications, articles by recognized authors, manufacturer associations, trade directories, and databases.

Cloud Computing in Government Primary Research:

Various sources from both the supply and demand sides were interviewed during the Cloud Computing in Government primary research process to obtain qualitative and quantitative information for this report. Primary sources included industry experts from the core and related industries, as well as preferred suppliers, manufacturers, distributors, technology developers, researchers, and organizations from all segments of the value chain of this industry. To obtain and verify critical qualitative and quantitative information, in-depth interviews were conducted with a variety of primary respondents, including key industry participants, subject-matter experts, C-level executives of key market players, and industry consultants.

Estimation of Cloud Computing in Government Market Size

The total size of the Cloud Computing in Government market was estimated and validated using both top-down and bottom-up approaches. These methods were also widely used to estimate the size of various market sub segments. The following research methodologies were used to estimate market size:

Extensive secondary research was used to identify the industrys key players.

The revenues generated by the markets leading players in molecular diagnostics have been determined through primary and secondary research.

All percentage shares, splits, and breakdowns were calculated using secondary sources and confirmed using primary sources.

TABLE OF CONTENTS OF Cloud Computing in Government Market Report

1 INTRODUCTION

1.1 Cloud Computing in Government study objectives1.2 Cloud Computing in Government definition1.3 Cloud Computing in Government inclusions & exclusions

1.4 Cloud Computing in Government market scope1.5 Cloud Computing in Government report years considered1.6 Cloud Computing in Government currency1.7 Cloud Computing in Government limitations1.8 Cloud Computing in Government industry stakeholders1.9 Cloud Computing in Government summary of changes

2RESEARCH METHODOLOGY2.1 Cloud Computing in Government research data

2.2 Cloud Computing in Government market breakdown and data triangulation2.3 Cloud Computing in Government scope2.4 impact of covid-19 on Cloud Computing in Government industry2.5 Cloud Computing in Government market size estimation3 Cloud Computing in Government EXECUTIVE SUMMARY

4 Cloud Computing in Government PREMIUM INSIGHTS

4.1 attractive opportunities in Cloud Computing in Government market4.2 Cloud Computing in Government market, by region4.3 Cloud Computing in Government market in North America, by end user & country4.4 Cloud Computing in Government market, by application4.5 Cloud Computing in Government market, by end user

5 Cloud Computing in Government MARKET OVERVIEW5.1 Cloud Computing in Government introduction5.2 covid-19 Cloud Computing in Government health assessment5.3 Cloud Computing in Government road to recovery

5.4 covid-19 Cloud Computing in Government economic assessment5.5 Cloud Computing in Government market dynamics

5.6 Cloud Computing in Government trends5.7 Cloud Computing in Government market map5.8 average pricing of Cloud Computing in Government5.9 Cloud Computing in Government trade statistics5.8 Cloud Computing in Government value chain analysis5.9 Cloud Computing in Government technology analysis5.10 Cloud Computing in Government tariff and regulatory landscape

5.11 Cloud Computing in Government: patent analysis5.14 Cloud Computing in Government porters five forces analysis

6 Cloud Computing in Government MARKET, BY APPLICATION

6.1 Cloud Computing in Government Introduction6.2 Cloud Computing in Government Emergency6.3 Cloud Computing in Government Prime/Continuous

7 Cloud Computing in Government MARKET, BY END USER7.1 Cloud Computing in Government Introduction7.2 Cloud Computing in Government Residential7.3 Cloud Computing in Government Commercial7.4 Cloud Computing in Government Industrial

8 GEOGRAPHIC ANALYSIS

8.1 Cloud Computing in Government Introduction8.2 Cloud Computing in Government industry by North America8.3 Cloud Computing in Government industry by Asia Pacific8.4 Cloud Computing in Government industry by Europe8.5 Cloud Computing in Government industry by Middle East & Africa8.6 Cloud Computing in Government industry by South America

9 Cloud Computing in Government COMPETITIVE LANDSCAPE9.1 Cloud Computing in Government Key Players Strategies9.2 Cloud Computing in Government Market Share Analysis Of Top Five Players9.3 Cloud Computing in Government Market Evaluation Framework9.4 Revenue Analysis Of Top Five Cloud Computing in Government Market Players9.5 Cloud Computing in Government Company Evaluation Quadrant9.6 Cloud Computing in Government Competitive Leadership Mapping Of Start-Ups9.7 Cloud Computing in Government Competitive Scenario

10 Cloud Computing in Government COMPANY PROFILES10.1 Cloud Computing in Government Major Players10.2 Cloud Computing in Government Startup/Sme Players

11 APPENDIX11.1 Insights Of Cloud Computing in Government Industry Experts11.2 Cloud Computing in Government Discussion Guide11.3 Cloud Computing in Government Knowledge Store11.4 Cloud Computing in Government Available Customizations11.5 Cloud Computing in Government Related Reports11.6 Cloud Computing in Government Author Details

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Cloud Computing in Government Market increasing demand with Industry Professionals: Adobe Systems, Blackboard The Greater Binghamton Business...

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Microsoft: Don’t Stress Over The Slashed Guidance (NASDAQ:MSFT) – Seeking Alpha

Jean-Luc Ichard/iStock Editorial via Getty Images

Microsoft (NASDAQ:MSFT) issued a guidance revision Thursday for both its top- and bottom-line, citing stronger-than-expected FX headwinds amidst a surging U.S. dollar. The revision comes on the heels of a similar sales outlook adjustment by software peer Salesforce (CRM) earlier this week, which cited a $600 million negative FX impact on its revenues for the current fiscal year. And more can be expected on the way, including technology giants like Amazon (AMZN), Apple (AAPL), Meta Platforms (FB), and Google (GOOG/GOOGL), which all generate a meaningful portion of sales overseas.

However, a resilient demand environment buoyed by robust secular tailwinds has largely overshadowed such international risks. Despite a looming economic recession, Microsoft has yet to see demand slow, citing that "IT spend would not be the first to see budget cuts" as digital transformation remains a strategic investment area across the corporate sector. Our view is that Microsoft remains a core long-term software investment, underpinned by its market leadership in a wide array of critical software categories and robust growth trajectory, balanced product portfolio and continued margin expansion.

The company decreased its fiscal fourth quarter revenue guidance from a range of $52.4 billion (+14%y/y; % +6 q/q) to $53.2 billion (+15% y/y; +8% q/q), to $51.94 billion (+13% y/y; +5% q/q) to $52.74 billion (+14% y/y; +7% q/q), with the difference fully attributable to additional FX headwinds anticipated through the rest of June. Margins have also been trimmed, with gross profit expected to come in at $35.45 billion to $36.05 billion (vs. previous guidance $35.80 billion to $36.40 billion), and operating income $20.6 billion to $21.3 billion (vs. previous guidance $20.9 billion to $21.6 billion). As a result, the fiscal fourth quarter earnings outlook has been revised from $2.28 to $2.35 per share, down to $2.24 to $2.32 per share, which falls slightly short from consensus estimates of $2.33 per share.

However, Microsoft's latest downward revision to its revenue and margins due to the FX overhang is not expected to result in a material change to its valuation outlook. Adjusting our previous financial forecast for Microsoft for the latest outlook revisions, as well as expectations for further FX headwinds through the calendar year (Microsoft has ~50% revenue exposure overseas), the company is estimated to maintain long-term revenue growth at a 10.0% compounded annual growth rate ("CAGR") still. Specifically, revenues are expected to total $198.7 billion (+18% y/y) by the end of the current fiscal year ending June 30th, with further expansion towards $357.4 billion by fiscal 2027. Higher-margin Intelligent Cloud sales will remain the core powerhouse for growth and continue to represent a higher mix of consolidated revenues over coming years with accelerated deployment of digital investments across the corporate sector.

Meanwhile, signs of softening PC market will likely contribute to a moderated pace of growth across More Personal Computing sales, which we anticipate to be in the low single-digits over the forecast period. Productivity and Business Processes revenue, which include Office and Dynamics sales, are estimated to remain a substantial contributor to consolidated growth at an approximately 9% CAGR through fiscal 2027.

Microsoft Revenue Forecast (Author)

Taking into consideration the near-term macro impacts to business, including FX headwinds, the company is expected to generate net income of $73.3 billion by the end of fiscal 2022 (+20% y/y). With additional consideration of the increasing shift to higher-margin Intelligent Cloud sales over the forecast period, as well as management's discipline in balancing revenue growth with sustained margin expansion, Microsoft's net income is expected to further advance towards $134.2 billion by fiscal 2027.

Microsoft Financial Forecast (Author)

On the valuations front, the latest FX headwinds are not expected to materially alter the Microsoft stock's outlook. Despite the currently volatile macroeconomic environment, the company's fundamental runway remains strong. Microsoft continues to show substantial resilience against the potential recession as corporate spending on core digital transformation categories like cloud migration and collaboration/productivity software adoption remain robust over coming years.

Microsoft Valuation Analysis (Author)

As such, we are maintaining our price target for the Microsoft stock in the mid-$300 level (~$340) despite the recent FX impacts, as well as the broader near-term macroeconomic overhang on growth tech stocks and equities in general. This would represent upside potential of close to 25% based on the stock's last traded share price of $274.58 on June 2nd.

Microsoft Valuation Analysis (Author)

Microsoft Sensitivity Analysis (Author)

Market leadership in key software segments. Microsoft benefits from large moat created by its market leadership across key software segments spanning cloud-computing and security services to collaboration and productivity software. This prowess bodes well with ongoing secular tailwinds buoyed by an accelerating multi-year investment cycle on digital transformation across the corporate sector.

With proven expertise across core software requirements needed to remain economically and operationally competitive in the "digital-first" world, Microsoft is uniquely positioned to capitalize on related growth opportunities given its market leadership and "strong value proposition through effective bundling" of services offered. Echoing Microsoft CEO Satya Nadella, tech spending's contribution to GDP growth is expected to double by 2030, as software becomes a key "deflationary force" going forward by driving "better economic outcomes". The trends, paired with Microsoft's market leadership across key software segments, underscore the favourable impact anticipated on Microsoft's longer-term fundamentals.

Robust fundamental performance. Microsoft has largely defied the law of large numbers, as it continues to maintain strong double-digit revenue growth in recent years. The company's consolidated revenues expanded at a 15% CAGR over the past three reporting fiscal years, primarily driven by organic growth across core businesses that count Office 365, Azure, and gaming. As discussed in earlier sections, our forecast estimates continued top-line growth at a 10% CAGR through fiscal 2027, buoyed by increased penetration into cloud opportunities.

The bullish commercial demand environment for cloud-computing solutions has continued to provide partial insulation for Microsoft from any "consumer slowdown", assuaging investors' month-long fears that the increasingly complex macroeconomic environment might result in a pullback in corporate IT budgets and backfire on the business' growth outlook. During the fiscal third quarter, Microsoft saw the "number of $100+ million Azure deals more than double year-over-year", which underscores "broad-based acceleration in [cloud] consumption". And momentum is expected to persist for the segment, benefiting from both new cloud customers looking into a transition away from legacy on-premise IT infrastructures, as well as matured cloud customers looking to bolster their IT capabilities through expanded adoption of Microsoft's Azure-based data offerings (e.g., Synapse, Purview, Azure SQL Server).

In addition to Azure, Microsoft also continues to benefit from robust commercial demand for its cloud-based productivity solutions like Office 365/Microsoft 365/Dynamics 365. Collaboration app Teams is also gaining uptake momentum, especially across emerging markets and small and medium enterprises ("SMEs"), in addition to large corporations, to support the post-pandemic era work-from-home norm. Commercial take rate of Office 365 has accumulated to almost 350 million seats as of mid-May, courtesy of additional penetration into peripheral opportunities across smaller-scale business operations.

The rise in demand for security in cloud-based collaborative and productivity tools from the commercial sector has also continued to underpin success for the company's latest Microsoft 365 E5 offering. With a focus on enhancing overall security, compliance, voice and analytic capabilities, the E5 suite is encouraging a flurry of upgrades from existing customers of the preceding E3 suite.

Multiple growth drivers. Microsoft benefits from a diverse growth profile composed of a wide array of core software offerings spanning cloud-computing, security, collaboration and productivity, hyper-automation solutions, and more. The company is uniquely positioned to benefit from growth opportunities arising from key software segments as the consolidation of enterprise IT spend continues to accelerate:

Sustained margin expansion. Balancing revenue growth with margin expansion through disciplined execution of day-to-day operational requirements and investment opportunities remains a priority for Microsoft. The company's gross margin has steadily paced towards 70% in recent quarters, while the operating margin has also gradually edged above 40%. As mentioned in earlier sections, continued capitalization on accelerating demand for higher-margin Intelligent Cloud offerings like those offered by Azure will continue to pave way for gradual margin expansion, albeit at a moderating pace over the longer term as the business matures. Meanwhile, Office margins are likely approaching a "steady-state" given its current size and maturity.

Overall, we remain confident that Microsoft's investment positives will continue to overshadow the near-term FX risks, which it is not alone in. Compared to SaaS peers with a similar international strategy, Microsoft is relatively better off, given its market leadership and the general stickiness of its cloud-based solution offerings in the commercial sector, especially productivity tools like Office 365. The company's diverse growth portfolio across key software categories, paired with a robust digital spending cycle across both the private and public sectors also serves as an effective insulation from the near-term macroeconomic uncertainties. The critical role of Microsoft's offerings in both the corporate and consumer digital fabric will continue to drive long-term growth, providing for robust valuation prospects ahead despite the near-term FX bump.

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Training and Retaining Home-grown Data Scientists | UArizona Health Sciences – The University of Arizona Health Sciences |

Jonathan Lifshitz, PhD, is renowned for his research into traumatic brain injuries. He leads a neurotrauma and social impact research team that advances the national conversation on intimate partner violence-induced traumatic brain injuries and related topics. The success of the teams research projects, and the data obtained for those studies, has resulted in an unexpected problem.

I have a couple of projects that have been mothballed, admitted Dr. Lifshitz, a child health professor at the University of Arizona College of Medicine Phoenix. Ive had to rely on my colleagues goodwill to handle the level of data science these projects require. But sometimes it is hard to find people that have the time to help, even if they want to.

Dr. Lifshitzs experience is not unlike that of many researchers across the university.

We had more people sitting with data ready to be processed than we had people to help them process their data, explained Nirav Merchant, MS, director of the UArizona Data Science Institute and leader of Health Analytics Powerhouse, an initiative of UArizona Health Sciences.

A key part of the Health Analytics Powerhouse initiative is the Data Science Fellows program, which provides training and mentorship to UArizona postdoctoral scientists and doctoral candidates with a health sciences focus.

The goal of the program is workforce development, said Merchant, who is a member of the universitys BIO5 Institute. We want a workforce to be literate in software, data and machine learning so as we grow, we can reduce the strain on researchers.

Data science is more than just dealing with large amounts of data.

If youre working with a lot of data, youre just doing science, Merchant explained. Data science combines data sets and methods that allow you to connect things that are otherwise not easily connected.

For example, a researcher may want to develop a software program to evaluate and train health care providers on their interactions with consenting patients. One way to design the software is by analyzing audio recordings from the patient interactions, Merchant said.

Researchers with medical and clinical expertise could collaborate with speech and hearing scientists, who can help with natural language patterns, but it is unlikely either group will have the technical expertise to work with a software developer to create the program.

Someone trained in data science, however, can bridge these gaps in expertise. A data scientist has the tools to organize and analyze large quantities of data, such as what might be collected over thousands of hours of audio recordings. They can train the researcher how to better collect and organize data on the front end and how to interpret the data that are produced.

A lot of what happens in data science is team science, Merchant said. Expertise is so broad that you cannot expect one person to know everything. Having the diversity of expertise really elevates the kind of science we can do.

With the help of Luisa Rojas, a doctoral candidate in the UArizona Health Sciences Clinical Translational Sciences graduate program, Dr. Lifshitz has found someone capable and eager to get started on his mothballed projects.

Rojas, a native of Colombia, is in the second cohort of data science fellows that began in January. She is quickly gaining expertise and sharing that knowledge with Dr. Lifshitz and fellow researchers. Rojas even created a Slack channel called Data Science to share information she is learning with her peers.

She is inspiring others to embrace data science, Dr. Lifshitz said. Perhaps now we can make strides on the projects that stalled because we didnt have an analyst able or available to do the required work.

Dr. Lifshitz includes Rojas in meetings with his research teams so she can listen and provide relevant input when she sees opportunities to implement data science principles. Rojas is applying data science techniques to her own research, as well. For her translational dissertation, she is conducting research using the fecal microbiome to track the effects of therapeutic drugs for traumatic brain injury.

I am grateful for the fellowship because now I have a different mindset about data science, the need to think about all the tools, and how we apply these to research projects, Rojas said.

The second class of fellows also includes Lydia Jennings, PhD, a postdoctoral researcher in the Department of Community, Environment and Policy at the UArizona Mel and Enid Zuckerman College of Public Health. Dr. Jennings research focuses on data policy and governance of environmental databases in relationship to Indigenous communities.

Only a few months into the fellowship, Dr. Jennings is already seeing the benefits of the data science toolsets she is acquiring, which go far beyond organizing data.

I did not learn these skills in my doctoral program, but I really feel like this is the direction research is going, Dr. Jennings said. If youre going to be at the forefront of research, I think it is important to have these skills because they are going to be required for most of the funding opportunities going forward.

A lot of what happens in data science is team science.Nirav Merchant, MS

Dr. Jennings also offers a unique perspective for her peers in the Data Science Fellows program, according to her postdoctoral advisor, Stephanie Russo Carroll, DrPH, MPH, assistant professor of public health policy and management at the Zuckerman College of Public Health.

I think she is contributing more than most students are able to, in terms of thinking about the broader sets of principles that need to affect not only how we behave as data scientists, but how we create cyber infrastructure and how we set policies for interacting with that infrastructure, Dr. Carroll said.

Data science fellows are trained and mentored for one year, during which they meet for formal lecture and lab time twice weekly.

They are expected to spend some of their time in the Bioscience Research Laboratories Data Science Learning Space, where they work with other fellows, assisting on special projects, developing their data science and domain expertise, developing training material, and delivering workshops and webinars. They spend the rest of their time applying the tools and concepts to their laboratories and research projects.

The program already has its first success story. Gustavo de Oliveira Almeida, PhD, coordinator of the University of Arizona Health Sciences Sensor Lab, was among the first cohort of data science fellows. His fellowship focused on how multiple streams of data can be collected in real time to drive action. The experience prepared Dr. Almeida for his new position with the UArizona Sensor Lab, and now he is helping others across campus.

We did not lose this talent, Merchant said. That is our goal with each cohort. We want to find them a home at the university, where they can help multiple people. We are hoping to build a network of people across campus to collectively elevate data science and the best practices for research analysis.

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Training and Retaining Home-grown Data Scientists | UArizona Health Sciences - The University of Arizona Health Sciences |

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Why Hiring More Data Scientists Won’t Unlock the ROI of Your AI – InformationWeek

Enterprises have poured billions of dollars into artificial intelligence based on promises around increased automation, personalizing the customer experience at scale, or delivering more accurate predictions to drive revenue or optimize operating costs. As the expectations for these projects have grown, organizations have been hiring more and more data scientists to build ML models. But so far there has been a massive gap between AIs potential and the outcomes, with only about 10% of AI investments yielding significant ROI.

When I was part of the automated trading business for one of the top investment banks a decade ago, we saw that finding patterns in the data and building models (aka, algorithms) was the easier part vs. operationalizing the models. The hard part was quickly deploying the models against live market data, running them efficiently so the compute cost didnt outweigh the investment gains, and then measuring their performance so we could immediately pull the plug on any bad trading algorithms while continuously iterating and improving the best algorithms (generating P&L). This is what I call the last mile of machine learning.

Today, line of business leaders and chief data and analytics officers tell my team how they have reached the point that hiring more data scientists isnt producing business value. Yes, expert data scientists are needed to develop and improve machine learning algorithms. Yet, as we started asking questions to identify the blockers to extracting value from their AI, they quickly realized their bottleneck was actually at the last mile, after the initial model development.

As AI teams moved from development to production, data scientists were being asked to spend more and more time on infrastructure plumbing issues. In addition, they didn't have the tools to troubleshoot models that were in production or answer business questions about model performance, so they were also spending more and more time on ad hoc queries to gather and aggregate production data so they could at least do some basic analysis of the production models. The result was that models were taking days and weeks (or, for large, complex datasets, even months) to get into production, data science teams were flying blind in the production environment, and while the teams were growing they weren't doing the things they were really good at.

Data scientists excel at turning data into models that help solve business problems and make business decisions. But the expertise and skills required to build great models aren't the same skills needed to push those models in the real world with production-ready code, and then monitor and update on an ongoing basis.

ML engineers are responsible for integrating tools and frameworks together to ensure the data, data engineering pipelines, and key infrastructure are working cohesively to productionize ML models at scale. Adding these engineers to teams helps put the focus back on the model development and management for the data scientists and alleviates some of the pressures in AI teams. But even with the best ML engineers, enterprises face three major problems to scaling AI:

To really take their AI to the next level, todays enterprises need to focus on the people and tools that can productionize ML models at scale. This means shifting attention away from ever-expanding data science teams and taking a close look at where the true bottlenecks lie. Only then will they begin to see the business value they set out to achieve with their ML projects in the first place.

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Why Hiring More Data Scientists Won't Unlock the ROI of Your AI - InformationWeek

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Saving Furry Pets: Data Science Students to the Rescue – Newsroom | University of St. Thomas – University of St. Thomas Newsroom

As animal rescues work to recover from the pandemic, Secondhand Hounds in Minnetonka has a secret weapon: three data science graduate students from the University of St. Thomas.

When the pandemic hit in March 2020, thousands of families went searching for a new furry friend. Unfortunately, many of those pets are now being returned. As their human owners return to in-person work, pets may experience separation anxiety, making it more difficult for the owner to care for its needs.

Looking to cut down on surrenders and help keep pets in their loving homes, Secondhand Hounds turned to St. Thomas.

Working as part of a graduate data science capstone project, students were tasked with finding ways to collect and analyze Secondhand Hounds data from local surrenders.

When someone applies online to surrender an animal, theyre giving us a lot of information, said Maggie Schmitz, director of marketing for Secondhand Hounds. Prior to the St. Thomas project, we didnt have a super automated way of looking at this data.

St. Thomas graduate students Nanda, Sumit Panjwani 22 MS and Ola Sanusi 23 MS got to work, relying on lessons learned in the classroom and extra mentorship from local data engineering firm phData.

We started this project to better help them be able to preempt surrendering of pets by their owners, Sanusi said. If they can analyze that data theyll find out factoids that make people want to surrender their pets, which they can now try to mitigate and reduce surrender applications.

With a manual entry system now transformed by the students use of cloud technologies, Secondhand Hounds hopes to put the information it will glean from each surrender application toward new initiatives.

Most people who come to us would love another option than surrender, Carrie Openshaw, program director for Secondhand Hounds, said. If given another opportunity they would take a resource and go a different route.

Options include additional owner training or even therapy, training or medication for the pet to help calm anxiety.

The experience is considered a win-win from all sides. Secondhand Hounds is walking away with overhauled systems, while St. Thomas graduate students have enjoyed a walk in the real world.

"It was as life-changing for us as it was for them," Nanda said.

Were always looking for projects in the real world where students can apply whatever they have learned in class and go and solve a real-world problem, said Manjeet Rege, professor and chair of graduate programs in software and data science.

And the journey is far from over. Secondhand Hounds hopes to apply its new data collection system to other areas of its operation, while St. Thomas hopes to share the project more widely, so that other rescues might benefit in similar ways.

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Saving Furry Pets: Data Science Students to the Rescue - Newsroom | University of St. Thomas - University of St. Thomas Newsroom

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Bryant announces interdisciplinary School of Health and Behavioral Sciences, extends its high ROI academic programs to healthcare – Bryant University

SMITHFIELD, RI -Answering the call for impact thinkers equipped with critical 21st century skills, Bryants Vision 2030 Strategic Plan is expanding the Universitys academic programs that prepare real-world ready students for outcomes and economic mobility ranked in the nations top 1%.

A new School of Health and Behavioral Sciences with a unique interdisciplinary educationintegrating studies in health sciences, cognitive and behavioral sciences, data analytics and businessaddresses the growing demand for healthcare experts and prepares students for successful careers in data-rich STEM fields.

In establishing its School of Health and Behavioral Sciences, Bryant University is providing a uniquely focused education for future healthcare professionals, said Bryant President Ross Gittell, Ph.D. Bryants new programs at the intersection of health and behavioral sciences, data analytics and business will prepare students for exceptional career opportunities in fields including healthcare analytics, healthcare management and finance, and public and community health."

Data from the Bureau of Labor and Statistics indicates a growth rate of 16% percent for occupations in healthcare until 2030, more than triple the projected average employment growth rate of 5%, with projected earnings well above national and New England averages for college graduates.

Bryant is creating an ecosystem of experiential learning where students will develop the specialized skills and insights to provide employers and society with professionals who can enter the field directly and make immediate impact and contributions.

Bryants School of Health and Behavioral Sciences has a unique perspective on healthcare education that addresses the need for skilled professionals who can integrate knowledge between disciplines. We will prepare the next generation of healthcare professionals by building on our core strengths in business and leadership skills, data analytics and quantitative skills, and cognitive and psychological skills, said Provost and Chief Academic Officer Rupendra Paliwal, Ph.D.Bryant is creating an ecosystem of experiential learning where students will develop the specialized skills and insights to provide employers and society with professionals who can enter the field directly and make immediate impact and contributions.

Bryant has recently commissioned architectural design to establish a dedicated Science wing and expanded lab and classroom space within its landmark Unistructure facility.

"Bryant is poised to provide leaders who are dedicated to improving the health and well-being of others and embrace a collaborative and interdisciplinary approach to solving problems.

With the new School of Health and Behavioral Sciences and its new degrees, Bryant is poised to provide leaders who are dedicated to improving the health and well-being of others and embrace a collaborative and interdisciplinary approach to solving problems, said Kirsten Hokeness, Ph.D., Chair of the Biology Department who will be assuming the role of Director of Bryants School of Health and Behavioral Sciences. Healthcare is a data-intensive industry, she notes. Specialists who can transform data into meaningful insights for numerous and diverse stakeholders are urgently needed and in high demand.

Our new Bachelors degrees in Health Analytics and Exercise and Movement Science are a natural extension of Bryants core strengths."

Our new Bachelors degrees in Health Analytics and Exercise and Movement Science are a natural extension of Bryants core strengths, said Joseph Trunzo, Ph.D., Chair of the Psychology Department and a practicing clinical psychologist who will be assuming the role of Associate Director of the School. Bryants student-centered focus and strong interdisciplinary collaborations between faculty and students across the University empower Bryant graduates to excel. The new School and added majors will provide students with unparalled opportunities.

Bryant Universitys School of Health and Behavioral Sciences builds on the success of its School of Health Sciences, first established in 2014, and its fully-accredited Master of Science in Physician Assistant Studies (MSPAS) program and Center for Health and Behavioral Sciences. The new School unites undergraduate and graduate programs and complements the Universitys College of Business and College of Arts and Sciences. It also unifies new majors in some of the worlds fastest-growing fields, Healthcare Analytics and Exercise and Movement Science, with areas of strength in Bryants current Health Sciences, Biology and Psychology majors.

New majors in Healthcare Analytics and Exercise Science

Bryants Bachelor of Science in Healthcare Analytics degree is the first of its kind in Rhode Island.The interdisciplinary degree integrates health sciences, statistics, math and data science with behavioral science and is designed to provide students with real-world, specialized skills for careers in fields such as biomedical research and public health. At Bryant, Healthcare Analytics majors will have the flexibility to minor in a complementary discipline they select from either the College or Business or the College of Arts and Sciences.

The Bachelor of Science in Exercise and Movement Science draws upon the strength of the Universitys highly competitive NCAA Division I athletics program to prepare graduates forcertification as a Strength and Conditioning Specialist (CSCS) andsurging career opportunitiesin a wide array of fitness and athletic settings. The program develops the foundation to understand and analyze human movement, incorporating an appreciation of the overlapping influences from anatomical, physiological, psychological and neurological factors. Two tracks of study are available: the Applied Exercise and Coaching track, designed for students who plan to enter the workforce directly after graduation, and the Healthcare Provider Prep track, designed for those who plan to pursue graduate study in a healthcare or medical field. All students will select a complementary minor in the College of Business and complete an internship to gain real-world experience in a setting that aligns with their career goals.

About Bryant University

For nearly 160 years, Bryant University has been at the forefront of delivering an exceptional education that anticipates the future and prepares students to be innovative leaders of character in a changing world. The University delivers a uniquely integrated academic and student life experience with nationally recognized academic programs at the intersection of business, STEM fields and the liberal arts. Located on a 428-acre contemporary campus in Smithfield, R.I., Bryantis recognized as a top 1% national leader in student education outcomes and ROI and regularly receives high rankings fromU.S. News and World Report, Money, Bloomberg Businessweek, Wall Street Journal, College Factual and Barrons. Visit http://www.bryant.edu.

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Bryant announces interdisciplinary School of Health and Behavioral Sciences, extends its high ROI academic programs to healthcare - Bryant University

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