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Many UK firms say they don’t really trust their cloud providers any more – TechRadar

September 27, 2022 | Author: admin

Over half of UK IT professionals currently trust public cloud services less than they did two years ago, new research from hosting firm Leaseweb Global has claimed.

The company attributed these issues to concerns around transparency, costs, customer service, and the ease of migrating workloads.

The research talked to 500 UK-based IT professionals with experience with public cloud providers over the last two years.

In terms of the concerns around migration, the majority (57%) of Leaseweb's respondents had previously found it challenging to migrate workloads out of a public cloud environment, while just under half (49%) said they had encountered difficulties in understanding their cloud usage costs.

Despite this, nearly three quarters (72%) of the research's respondents agreed they have effectively controlled public cloud usage costs, while 46% stated they somewhat agree and almost half (49%) had struggled to get hold of a public cloud providers customer services.

The research also demonstrated a move away from the cloud first methodology, where a business considers cloud-based technology solutions before all others.

In the period from January 2019 to December 2021, 36% of organizations described their approach to IT infrastructure as cloud first, with only 19% stating their organization was officially committed to a cloud-only approach.

However from January 2022 onwards, cloud first commitments had decreased to 31%, with the proportion of those selecting cloud only rising to 25% of respondents.

Despite this rising lack of trust, public cloud remains a very popular option among IT professionals.

When asked about the optimum IT infrastructure for their organization, private cloud only (23%) and a mixture of on-premise and public cloud (20%) were the most popular selections among respondents.

These were followed by public cloud only (17%) and a mixture of on-premises and private cloud (14%), with on-premises only the least popular selection at 7%.

In addition, two-thirds (66%) of respondents agreed that the industry will see the end of on-premise infrastructure over the next two years.

But it's perhaps not just IT workers themselves who are becoming critical of public cloud providers, their practices are increasingly drawing the ire of regulators.

UK digital watchdog Ofcom is set to launch an investigation into the state of the cloud computing market, examining the market power of the largest firms such as Amazon Web Services (AWS), Microsoft, and Google, and if this power is causing any detrimental impacts on outcomes for consumers.

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Cloud Computing in Higher Education Market Report with Executive Summary, Size, Analysis and Forecast 2022-2030 The Colby Echo News – The Colby Echo…

September 27, 2022 | Author: admin

Astute Analytica released a new market report on theglobal cloud computing in higher education market.This in-depth study of theCloud Computing in Higher Education Marketincludes inputs, information, and data from primary and secondary sources that have been evaluated and verified by specialists in the target market.

The globalCloud Computing in Higher Education Market size was US$ 2,693.5 Millionin 2021 toUS$ 15,180.1 Millionby 2030, growing at a CAGR of20%from 2022 to 2030.

Along with significant data and other pertinent information, the report also covers market growth drivers, key trends for the present and the future, resources that can help to potentially expand the market into untapped regions, and market growth drivers forCloud Computing in Higher Education Market.

The research offers a comprehensive analysis of revenues, the COVID-19 effect, significant developments, strategies, historical data, and information by key competitors that provide essential perspectives and insights into various market scenarios.

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Cloud computing in higher education provides an online platform for educational institutes through various applications and subscription models. In this era of technology, employing latest IT technologies and services in higher education assists teachers, administrators and students in their education related activities. Cloud computing in higher education centrally manages the various business processes such as student and course management, helps teachers in uploading learning materials, students to access their homework, administrators to easily collaborate with each other and library management among others.Cloud computing segment is gaining majority of the spenders from high income group as well as skilled share of people from around the world.

On the basis of institute type, thetechnical schools are estimated to hold the highest market share in 2021 and is also expected to project the highest CAGR over the forecast period owing to increasing demand for cloud computing in technical schools.Moreover, based on ownership,private institutes segment is anticipated to hold the largest market share owing to increasing funding in private institutes for adoption of cloud computing services. Whereas, the public institutes segment is expected to grow at the highest CAGR over forecast period. Furthermore, in terms of application, administration application holds a major share in the cloud computing in higher education in 2021. Whereas, unified communication is expected to project the highest CAGR over the forecast period due to increasing trend of e-learning. In addition to this, by deployment, the hybrid cloud segment held the largest market share in 2021.

Market Dynamics and Trends

Drivers

The increasing adoption of SaaS based cloud platforms in higher education, increasing adoption of e-learning, increasing IT spending on cloud infrastructure in educationand increasingapplication of quantum computing in education sectorwill boost the global cloud computing in higher education market during the forecast period. Software-as-a-Service (SaaS) is a type of delivery model of cloud computing. In the higher education sector, SaaS applications include hosting various management systems for educational institutes and managing other activities. Moreover, higher education industry witnesses an increased adoption of e-learning due to its easy accessibility and high effectiveness. Users such as drop-outs, transfer learners, full-time employees are increasingly relying on e-learning trainings and education to upgrade their skills. Furthermore, higher education institutes are rapidly moving towards cloud-based services to save an intensive IT infrastructure cost and boost efficiency of operations.

Restraints

Cybersecurity and data protection risks, lack of compliance to the SLAand legal and jurisdiction issues is a restraining factor which inhibits the growth of the market during the forecast period. Issues related to data privacy pose threats in interest to mitigation of higher education institutions to the cloud. There are federal regulations for higher education institutes along with state and local laws to manage information security in the education environment. Moreover, the level of complexity in the cloud is high, which usually complies with several service providers and thus makes it hard for users to make changes or intervene. Also, the cloud computing industry faces various legal and jurisdiction issues that can run into years due to regional laws.

Cloud Computing in Higher Education Market Country Wise Insights

North AmericaCloud Computing in Higher EducationMarket-

US holds the major share in terms of revenue in theNorth Americacloud computing in higher education market in 2021 and is also projected to grow with the highest CAGR during the forecast period. Moreover, in terms of institute type, technical schools hold the largest market share in 2021.

EuropeCloud Computing in Higher EducationMarket-

Western Europeis expected to project the highest CAGR in theEuropecloud computing in higher education market during forecast period. Wherein,Germanyheld the major share in theEuropemarket in 2021 because there is high focus on innovations obtained from research & development and technology adoption in the region.

Asia PacificCloud Computing in Higher EducationMarket-

Indiais the highest share holder region in theAsia Pacificcloud computing in higher education market in 2021and is expected to project the highest CAGR during the forecast period owing to potential growth opportunities, as end users such as schools and universities are turning toward cloud services in order to offer high quality services that help users to collaborate, share and track multiple versions of a document.

South AmericaCloud Computing in Higher EducationMarket-

Brazilis projected to grow with the highest CAGR in theSouth Americacloud computing in higher education market over the forecast period. Furthermore, based on ownership, private institutes segment holds the major share in 2021 in theSouth Americacloud computing in higher education market owing to increasing funding in private institutes for adoption of cloud computing services.

Middle EastCloud Computing in Higher EducationMarket-

Egyptis the highest share holder region in 2021 and UAE is projected to grow with the highest CAGR during the forecast period. Moreover, in terms of application, administration holds a major share in the cloud computing in higher education in 2021. Whereas, unified communication is expected to project the highest CAGR over the forecast period due to increasing trend of e-learning.

AfricaCloud Computing in Higher EducationMarket-

South Africais the highest share holder region in theAfricacloud computing in higher education market in 2021. Furthermore, by deployment, the private cloud segment is expected to witness the highest CAGR during forecast period due to the security benefits provided by the private deployment of the cloud.

Competitive Insights

GlobalCloud Computing in Higher Education Market is highly competitive in order to increase their presence in the marketplace. Some of the key players operating in the global cloud computing in higher education market include Dell EMC, Oracle Corporation, Adobe, Inc., Cisco Systems, Inc., NEC Corporation, Microsoft Corporation, IBM Corporation, Salesforce.com, Netapp, Ellucian Company L.P., Vmware, Inc and Alibaba Group among others.

Segmentation Overview

Global Cloud Computing in Higher Education Market is segmented based on institute type, ownership, application, deployment and region. The industry trends in the global cloud computing in higher education market are sub-divided into different categories in order to get a holistic view of the global marketplace.

Following are the different segments of the Global Cloud Computing in Higher Education Market:

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By Institute Type segment of the Global Cloud Computing in Higher Education Market is sub-segmented into:

By Ownership segment of the Global Cloud Computing in Higher Education Market is sub-segmented into:

By Application segment of the Global Cloud Computing in Higher Education Market is sub-segmented into:

By Deployment segment of the Global Cloud Computing in Higher Education Market is sub-segmented into:

By Region segment of the Global Cloud Computing in Higher Education Market is sub-segmented into:

North America

Europe

Western Europe

Eastern Europe

Asia Pacific

South America

Middle East

Africa

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About Astute Analytica

Astute Analytica is a global analytics and advisory company which has built a solid reputation in a short period, thanks to the tangible outcomes we have delivered to our clients. We pride ourselves in generating unparalleled, in depth and uncannily accurate estimates and projections for our very demanding clients spread across different verticals. We have a long list of satisfied and repeat clients from a wide spectrum including technology, healthcare, chemicals, semiconductors, FMCG, and many more. These happy customers come to us from all across the Globe. They are able to make well calibrated decisions and leverage highly lucrative opportunities while surmounting the fierce challenges all because we analyze for them the complex business environment, segment wise existing and emerging possibilities, technology formations, growth estimates, and even the strategic choices available. In short, a complete package. All this is possible because we have a highly qualified, competent, and experienced team of professionals comprising of business analysts, economists, consultants, and technology experts. In our list of priorities, you-our patron-come at the top. You can be sure of best cost-effective, value-added package from us, should you decide to engage with us.

Contact us:Aamir BegBSI Business Park, H-15,Sector-63, Noida- 201301-IndiaPhone:+1-888 429 6757(US Toll Free);+91-0120- 4483891 (Rest of the World)Email:sales@astuteanalytica.comWebsite:www.astuteanalytica.com

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Final Days to Register: 2 Day Interactive Risk-based Computer System Validation Course: Reduce Costs and Avoid 483 – October 4-5, 2022 – PR Newswire

September 27, 2022 | Author: admin

DUBLIN, Sept. 26, 2022 /PRNewswire/ --The "Risk-based Computer System Validation; Reduce Costs and Avoid 483" training has been added to ResearchAndMarkets.com's offering.

This highly interactive two-day course uses real life examples and explores proven techniques for reducing costs, usually by two-thirds, associated with implementing, and maintaining computer systems in regulated environments.

Learning Objectives:

Who will Benefit:

Who Should Attend:

Key Topics Covered:

DAY 01 (9:00 AM - 3:00 PM PDT)

DAY 02 (9:00 AM - 3:00 PM PDT)

For more information about this training visit https://www.researchandmarkets.com/r/2zsf3a

Media Contact:

Research and MarketsLaura Wood, Senior Manager[emailprotected]

For E.S.T Office Hours Call +1-917-300-0470For U.S./CAN Toll Free Call +1-800-526-8630For GMT Office Hours Call +353-1-416-8900

U.S. Fax: 646-607-1907Fax (outside U.S.): +353-1-481-1716

Logo: https://mma.prnewswire.com/media/539438/Research_and_Markets_Logo.jpg

SOURCE Research and Markets

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Is cloud technology essential for provider organizations? – Healthcare IT News

September 27, 2022 | Author: admin

Cloud-enabled data automation is helping streamline clinical processes for physicians and nurses breaking down data silos and surfacing relevant patient information where it's needed most. It's also helping ease the burden and burnout among health system staff.

It's well-known that healthcare data is growing at an exponential rate. Are healthcare organizations prepared to keep up?

Organizations that establish cloud-native infrastructure and supportive processes will not only be able to gain insights from their data to better serve their patients and staff, but also usher in an entire new set of tools that disrupts product development across the industry, saidAnders Brown, managing director at Tegria, the healthcare and technology services company founded by Providence.

We sat down with Brown to talk about the cloud in healthcare. Prior to Tegria, Brown held multiple roles at Microsoft and built scalable consulting businesses at the intersection of software, hardware and new markets.

Q. What are the pros and cons of cloud infrastructure for a healthcare provider organization?

A. While we absolutely are believers in the importance of the cloud for healthcare we see it as a positive trend for providers and payers we also understand that it doesn't mean organizations should undertake everything, all at once. Our customers think about this in terms of balance and opportunity.

To start, there is certainly a consensus on the benefits of an "elastic" infrastructure. The ability to easily scale workloads up and down and pay for what is used as opposed to managing the fixed cost of IT infrastructure is most definitely a positive.

Another benefit is faster adoption of new technologies. It is easier to integrate the latest tools, which are cloud-native, into a cloud-based ecosystem.

You really can't use modern innovations like natural language processing or real-time data analytics with on-premise hardware. Those workloads really need the processing power that can today only be found with the cloud service providers.

The pace of innovation happening in and adjacent to the leading cloud service providers supports faster technology adoption. We'll increasingly see new technology first in the various cloud marketplaces, and we'll continue to see cloud service providers add more prebuilt features that can be deployed quickly and easily.

Along the way, customers can streamline their application portfolio by taking more accurate inventory of what is actually used and necessary and make follow-on cost reductions where appropriate.

Related to that is reduced cybersecurity risk. Abstracting core systems away from the user base, which is the most likely attack vector, is a benefit that is clear to our customers. Cloud environments also give our customers access to better log analytics, network and behavior analytics, and more sophisticated security and monitoring tools.

Finally, there's the data. The data around the patient from wearables, remote patient monitoring, etc., is growing exponentially. And while you might be able to store it on-premise, the cloud is really the only place you can effectively scale, organize and analyze all that data for better, more efficient care.

No question, there are also trade-offs and considerations that are unique to each of our customers. Cost, of course, is often the most common theme.

Determining value proposition for any specific customer depends on where they are and where they want to go next. It certainly exists, but it takes a reasonable amount of pre-work to identify and varies from one customer to the next.

Additionally, most of the IT teams we work with are stretched thin with little patience for projects that are purely long-term in their benefits. We get that.So, we try to help with the step-by-step to deliver quick wins.

Q. What are the pros and cons of a cloud electronic health record system for a provider organization?

A. Certainly, our customers benefit from moving off a capital expense "capex" model for IT investment requiring expensive infrastructure refresh every few yearstoward an operating expense "opex" model that is elastic to need and can scale up and down, depending on usage.

You can also take advantage of newer and faster technologies as they become available without having to wait for that refresh cycle. If your Epic database is running on a certain cloud server and Intel releases a faster chipset, you can easily swap to a new cloud server with that chipset and get immediate benefits from the gains in speed and reliability.

The offset of that won't surprise many readers. Most healthcare software is not cloud native, and some have a long way to go to get there. That has an impact on ability, effort and expense to take full advantage of the cloud's benefits.

IT administrators can leverage on-demand cloud services for non-production systems to only pay for what they're using. And overall resiliency of customers' systems improves at a lower cost by deploying disaster recovery solutions.

Some of our customers also report more uptime stability, easier integration of third-party applicationsand easier real-time integration of data. But it's important to factor in the effort to up-level IT staff capabilities as you go our customers are finding they need to invest in a shift in skillsets toward more cloud-based capabilities.

With each go-live for hosting engagements, there is palpable excitement from our customers and not just as a measure of relief when everything goes according to plan. I see a growing recognition across the healthcare IT community for the opportunities available for their organizations in the cloud, whether they choose private, public or hybrid.

Q. You say that organizations with cloud IT can gain insights from their data to better serve their patients and staff. Why can't they do that with on-premise IT? Or how do you think it can be done better with cloud IT?

A. Great question. Most customers might not be facing this issue now, but ultimately and we believe, soon they'll be facing a constraint on their ability to utilize the data they're storing, unless they move to the cloud.

The data wave that is coming from remote patient monitoring, wearables, other in-home devices all of that will dwarf the datasets generated by EHRs. To the extent customers want to move beyond pilot projects for machine learning and artificial intelligence models, on-premise solutions will become obsolete quickly.

What we're seeing from our work which includes projects like de-identifying hundreds of millions of patient notes is that advanced analytics is simply not possible without the cloud. You can certainly store petabytes of data on-premise, but you can't quickly do modeling and analytics that require immediate and significant scale.

You cantry things, fail quickly and try again until you get an outcome that works. This is what the scale of cloud infrastructure provides you.

Q. You also suggest that cloud IT ushers in an entire new set of tools that disrupts product development. What are the tools, and how do they disrupt for the better?

A. Yes, there are a lot of great tools out there. For starters, we'd cite cloud and digital native tools from companies like Microsoft and their Power Platform offerings, as well as Amazon and their Honeycode and AWS for Everyone approach. These tools enable frontline healthcare staff to directly build products that integrate into a cloud-enabled infrastructure.

We absolutely believe more of this should and will happen. Clinicians are a relatively untapped population for incredible ideas on how to improve things. They are living the challenges each and every day.

Our thought is we should be democratizing healthcare IT invention by training clinicians how to build their own solutions, securely and reliably, with the right development tools and engineering support. We think this a powerful idea and one that will unleash unprecedented innovation in healthcare.

Twitter:@SiwickiHealthITEmail the writer:bsiwicki@himss.orgHealthcare IT News is a HIMSS Media publication.

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Organisations that are getting cloud security right, focus on these 5 crucial fundamentals; check them out – Silicon Canals

September 27, 2022 | Author: admin

Those that get cloud security right value productivity, speed, and risk reduction to help their organisations succeed.

The introduction of cloud computing represents a radical departure from the data centre, requiring security teams to operate differently to keep cloud infrastructure secure. The shared responsibility model of cloud, which outlines the security responsibilities of cloud service providers and cloud customers alike, has relieved security teams of the burdens of securing physical infrastructure. But what remains on their plate the virtual server instances, virtual networks, and security groups all require different tools and approaches to secure.

A decade ago, cloud infrastructures looked a lot more like data centre infrastructures (even though the two are fundamentally different). When comparing the cloud services and architectures teams are adopting today, those early cloud environments looked quite familiar, almost like a remote datacentre.

These use cases are still prevalent, but a bigger change is afoot one that has major ramifications for security. More and more, application teams are building and running new applications in the cloud, as opposed to simply using the cloud as a platform for hosting migrated or third party applications. These teams are leveraging new kinds of cloud resources, and their environments no longer resemble anything youd find in a data centre.

Cloud service providers now offer hundreds of specialised cloud services that teams are taking advantage of, and each specialised service has its own unique security considerations. When these newer services are combined into cloud-native architectures, security teams are realising that what worked before no longer works well or scales well now. Cloud attack patterns have also changed; they now leverage automation to detect misconfigurations, and use API keys to operate against the cloud control plane for discovery, movement, and data extraction. Breach victims are often unaware of these attacks until their data shows up on the internet.

On a positive note, there are organisations that are getting cloud security right. Its helpful to examine what theyre doing differently to understand why theyre succeeding when so many others are falling short. Development and security teams at these successful organisations are reducing their rate of misconfiguration vulnerabilities, even as their use of the cloud scales in size and complexity. Theyre also helping teams across the rest of their organisations move faster and become more productive.

All of the organisations that are getting cloud security right, focus on the following five key fundamentals.

These teams are aware of every resource running in their cloud, how the resources are configured, and how they relate to each other (its not uncommon for enterprise cloud security teams to not be aware of 20% or more of whats running in their environment). They know which applications are running on what cloud infrastructure, as well as the data involved. And they maintain visibility over the software development lifecycle (SDLC) for their cloud infrastructure, including any infrastructure as code in development and CI/CD pipelines used.

The way to stop modern cloud breaches is by preventing the conditions that make them possible, not focusing on detecting and stopping attacks in progress. These teams go beyond simply preventing individual resource misconfigurations and focus on designing cloud environments that are inherently secure against control plane compromise attacks. The cloud security architect role becomes a key role at these organisations.

Todays cloud security teams know that they cant do it all, and they focus on empowering other teams to get security right. By providing tools that enable engineers to develop infrastructure as code securely, theyre positioning these engineers to catch and correct issues early, avoid time-consuming remediations and rework later, and to deliver secure infrastructure faster. These security teams also help engineers build security guardrails into CI/CD pipelines, to ensure that vulnerabilities dont make it into running environments.

When security policies are expressed solely in human language and exist in PDF documents, they might as well not exist at all. PaC allows for rules to be expressed in a language that other tools and applications can use to validate the correctness of code and configurations. PaC eliminates differences in interpretation, implementation, and enforcement, and it lets cloud security teams scale their effort without having to scale up headcount.

Cloud security is about operational discipline and getting the right processes in place. Successful security teams identify what matters the most, be it reducing the rate of misconfiguration, speeding up approval processes, or re-allocating resources to higher-value work. They establish their baselines, set goals, and then work diligently toward achieving them. And theyre able demonstrate the security posture of their environmentand their progressat any time.

Those that get cloud security right view it as an innovation enabler, not a blocking function. They operationalise cloud security across the organisation so that everyone can move faster and more securely.

Catch our interview with Paul Down, Head of Sales at Intigriti.

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Staff Engineer, Research Software Engineer job with NORWEGIAN UNIVERSITY OF SCIENCE & TECHNOLOGY – NTNU | 310412 – Times Higher Education

September 27, 2022 | Author: admin

About the position

We have a vacancy limited to 1.5 years for a temporaryStaff Engineer(Research Software Engineer) at the Industrial Ecology Digital Lab (Industrial Ecology Programme(IndEcol),Department of Energy and Process Engineering, NTNU).

You will work on an internal project to improve and extend the environmental footprints webpage (https://environmentalfootprints.org/), maintained by the Digital Lab. The webpage is one of the main outreach channels for the sustainable production and consumption research results from IndEcol and includes several interactive data visualization sub-pages. Data for these come from various (internal and external) sources and is currently manually gathered, harmonised and deployed.Over the course of 1.5 years, we plan to transition this process towards a fully automated data pipeline (CI/CD), starting from the underlying socio-economic databases.Connected to this, we will develop new visualization capabilities for the presentation of environmental footprints with uncertainties connected to the ongoing NRC funded project HiTEA (https://hitea.iedl.no/). This will involve finding novel solutions for providing big-data outcomes from HPC processing on a relatively small-scale web-hosting platform.Thus, the position will require day-to-day interactions with scientists in the sub-domains of industrial ecology, providing solutions for highly scalable applications (HPC and cloud computing).

IndEcol is a pioneer in the development and application of industrial ecology methods, as well as the use of large data sets and scientific computing in industrial ecology. We focus on understanding resource use and environmental pollution associated with human activities, assessing the environmental aspects of different technologies and modeling societys use of materials. IndEcol combines world-class competence in Life Cycle Assessment (LCA), Input-Output analysis (I/O), and Material Flow Analysis (MFA) with scientists contribution to IPCC assessment reports, the International Resource Panel, active participation to the UNEP/SETAC Life-Cycle Initiative, and numerous publications featured in high-ranked journals. IndEcol hosts its own International MSc program and contributes to NTNUs engineering education- Theresearch teamconsisting of eight faculty members, theIndustrial Ecology Digital Laboratory, and about 70 researchers, post.docs and PhDs.We offer excellent subsequent job prospects through gaining experience with data science and high- performance computing in combination with sustainability analysis.

You will report to the Manager and Lead Researcher of the Digital Laboratory (https://www.iedl.no/).

Duties of the position

Required selection criteria

Preferred selection criteria

Personal characteristics

In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience and personal suitability, as well as motivation, in terms of the qualification requirements specified in the advertisement

We offer

Salary and conditions

The position of Staff Engineer (avdelingsingenir) is placed in position code 1085 and is remuneratedin accordance with Public Sector salary regulations (Statens lnnsregulativ), normally between NOK 515 000 and NOK 580 000 per year, depending on qualifications and seniority. From the salary, 2% is deducted as a contribution to the Norwegian Public Service Pension Fund.

The engagement is to be made in accordance with the regulations in force concerning State Employees and Civil Servants, and the acts relating to Control of the Export of Strategic Goods, Services and Technology. Candidates who by assessment of the application and attachment are seen to conflict with the criteria in the latter law will be prohibited from recruitment to NTNU. After the appointment you must assume that there may be changes in the area of work.

It is a prerequisite you can be present at and accessible to the institution on a daily basis.

About the application

Please note that your application will be considered based solely on information submitted by the application deadline. You must therefore ensure that your application clearly demonstrates how your skills and experience fulfil the criteria specified above.

The application must contain:

If all, or parts, of your education has been taken abroad, we also ask you to attach documentation of the scope and quality of your entire education. Description of the documentation required can be foundhere. If you already have a statement from NOKUT, please attach this as well.

General information

NTNU believes that inclusion and diversity is a strength. We want our faculty and staff to reflect Norways culturally diverse population and we continuously seek to hire the best minds. This enables NTNU to increase productivity and innovation, improve decision making processes, raise employee satisfaction, compete academically with global top-ranking institutions and carry out our social responsibilities within education and research. NTNU emphasizes accessibility and encourages qualified candidates to apply regardless of gender identity, ability status, periods of unemployment or ethnic and cultural background.

The city of Trondheim is a modern European city with a rich cultural scene. Trondheim is the innovation capital of Norway with a population of 200,000. The Norwegian welfare state, including healthcare, schools, kindergartens and overall equality, is probably the best of its kind in the world. Professional subsidized day-care for children is easily available. Furthermore, Trondheim offers great opportunities for education (including international schools) and possibilities to enjoy nature, culture and family life and has low crime rates and clean air quality.

As an employeeatNTNU, you mustat all timesadhere to the changes that the development in the subject entails and the organizational changes that are adopted.

A public list of applicants with name, age, job title and municipality of residence is prepared after the application deadline. If you want to reserve yourself from entry on the public applicant list, this must be justified. Assessment will be made in accordance withcurrent legislation. You will be notified if the reservation is not accepted.

If you have any questions about the position, please contactDr. Konstantin Stadler (Manager and Lead Researcher of the Indecol Digital Lab), email:konstantin.stadler@ntnu.no, and Prof. Francesco Cherubini (Director of the Industrial Ecology Programme), email:francesco.cherubini@ntnu.no. If you have any questions about the recruitment process, please contactMegan Norris, e-mail:megan.norris@ntnu.no. Please submityourapplication and supporting documentation viajobbnorge.no.

If you think this looks interesting and in line with your qualifications, please submit your application electronically via jobbnorge.no with your CV, diplomas and certificates attached. Applications submitted elsewhere will not be considered. Upon request, you must be able to obtain certified copies of your documentation.

Application deadline: 23.10.2022

NTNU - knowledge for a better world

The Norwegian University of Science and Technology (NTNU) creates knowledge for a better world and solutions that can change everyday life.

Department of Energy and Process Engineering

We conduct research and teaching covering the entire energy chain, from resources to the end-user. We look at how energy is produced and used by humans and machines in a sustainable way with regard to health, climate change and the resource base.The Department of Energy and Process Engineeringis one of eight departments in theFaculty of Engineering.

Deadline23rd October 2022EmployerNTNU - Norwegian University of Science and TechnologyMunicipalityTrondheimScopeFulltimeDuration TemporaryPlace of service

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Staff Engineer, Research Software Engineer job with NORWEGIAN UNIVERSITY OF SCIENCE & TECHNOLOGY - NTNU | 310412 - Times Higher Education

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Air assault mission coming up? The Army has an app for that – ArmyTimes.com

September 27, 2022 | Author: admin

AUSTIN, Texas Air assaults. Theyre some of the most challenging operations to plan and communicate down the chain of command.

Planners have to coordinate across different brigades to know what aircraft are available and when and thats not counting other considerations like land, manifest building and timelines.

And thanks to AIRSYNC, a new application from uniformed coders and software developers at the Army Software Factory, some of that process is now centralized and automated to make life easier for planners and leaders.

Army Times spoke with the developers behind the application Monday while visiting the facility, housed in a recently-renovated historic school thats also home to an Austin Community College facility. Army Times agreed not to name individual developers so they could speak candidly.

Soldiers and contractors at the Army Software Factory conduct a morning meeting on Sept. 26, 2022 in Austin, Tex. (Davis Winkie/Staff)

One of Airsyncs developers, a field grade officer, explained that 101st Airborne Division senior leadership approached the Software Factory and asked for help standardizing and automating the painful air assault planning process, which frequently falls onto battalion-level staff officers who are already stretched thin.

Division officials lamented that we relearn [the planning process] and it always seems to just barely come together near the end of the planning periods, the developer recounted. But it wasnt clear why.

After visiting units at Fort Campbell and elsewhere to investigate further, developers realized that units werent tracking performance or memorializing what worked (or what didnt), they werent effectively communicating mission changes in a timely manner and they didnt have standardized training or products available for the battalion air planners.

Often, mission requirements and resources change at the last second, the developer said, making it difficult to keep everyone in the loop.

Its a lot of coordination of information, structuring it and communicating it out in near real time, explained the developer. As the system currently stands, planners lean heavily on a combination of tools like Sharepoint, network drives and email to get info out, which can lead to confusion over where current information is located.

Soldiers assigned to 10th Special Forces Group, debark a UH-60 Black Hawk helicopter, March 9, 2016, at Hurlburt Field, Fla. (Sgt. Brandon Franklin/Army)

AIRSYNC attempts to address many of those issues by creating a standardized format for air assault mission plans all hosted on a web application that everyone involved can access. The app supports real-time updates to the plan, too.

The applications user interface is intended to communicate a bare bones version of the plan as quickly as possible, the developer explained, so that subordinate units have as much time as possible to complete their portion of the planning process. A recent update added a manifest feature that allows units to assign troops to specific aircraft by whatever format they prefer battle roster number, last name or even an abbreviated identification number.

While AIRSYNC currently only can be accessed from a government network, the developers are hopeful that it can help standardized information quickly travel down the chain of command. Units will also easily be able to store and access previous mission plans which are stored in the applications cloud hosting, allowing for self-assessment and performance tracking.

The AIRSYNC team isnt sure yet what features might come out next, but one of its developers indicated that finding a way to get the aviation units onto the app is one idea.

Also potentially in the works? Airborne mission planning.

Theres a lot of crossover...with airborne mission planning...its just a fixed wing asset, said the developer. He added that the Software Factory team is evaluating whether a solution would be most effective as part of AIRSYNC or as a separate app.

Davis Winkie is a senior reporter covering the Army, specializing in accountability reporting, personnel issues and military justice. He joined Military Times in 2020. Davis studied history at Vanderbilt University and UNC-Chapel Hill, writing a master's thesis about how the Cold War-era Defense Department influenced Hollywood's WWII movies.

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Five Best Career Choices For Certified Data Scientists – Spiceworks News and Insights

September 25, 2022 | Author: admin

Data science has been around for a few decades, but it was only lately that companies realized they need to leverage the approach to use enormous data stacks for decision making. The employment prospects expand as the profession diversifies and rises in prominence. Here are the top five data science careers in terms of roles and responsibilities, skills, certifications, job prospects, and average pay.

Data science has been around since the 1990s, but its importance was acknowledged only when organizations found themselves unable to utilize massive amounts of data for decision-making. Data science has aided organizations in expanding beyond the traditional boundaries of data consolidation. It helps enterprises to have access to more and more information and to perceive new things in a different light.

Are you a certified data scientist with a relevant bachelors degree looking to move beyond your current entry-level job? Data science positions can encompass everything from business intelligence and machine learning to data architecture and big data managementall of which make it extremely confusing when charting a career path for yourself. Which position will match your talents and goals? To help you decide, here we compare five top data science careers in terms of job objectives and responsibilities, skills, certifications, job outlook, and average salary.

See More: What Is Data Science? Definition, Lifecycle, and Applications

This career path is for those possessing both business acumen and consulting skills and an excellent understanding of data. As a BI Analyst, your focus will be on analyzing your organizations existing data, such as monthly sales, quarterly expenses, or customer churn. Youll examine the data in terms of your organizations key performance indicators (KPIs) and business performance and recommend where improvements need to be made. In addition to mining your own companys data, you will be gathering data from various sources, including your competitors and industry data. Among the goals of your analysis will be to find ways your company can improve its market position, profit margins, and the efficiency of its systems, procedures and functions, as well as new ways to better its data collection and analysis methodologies.

Skill Sets

Certification: Certifications available to BI analysts include the Microsoft Certified: Data Analyst Associate and TDWIs Certified Business Intelligence Professional certification. Certifications in specific computer languages like SAS are also available.

Job outlook: 11% growth rate through 2029 (U.S. Bureau of Labor Statistics (BLS)

Average annual salary: $66,000 $79,000 (Glassdoor and Payscale)

Individuals pursuing this career path are more interested in using data to help companies make better decisions and improve their business practices than in creating the algorithms used for data discovery and acquisition. As a data analyst, you will use existing tools, systems and data sets to generate actionable insights from your organizations data. You will identify, extract, and analyze key business performance, risk and compliance data and present your findings to the organizations decision-makers. You will be called upon to write reports and present your findings. You will need to be able to recognize and understand the trends and insights that can be found in big data sets. Many data analysts move on to become data engineers, data architects, or data scientists after they have acquired over ten years of experience.

Skill sets

Certification: Online certification courses are available for data analytics, including certifications in business analytics, predictive analytics, and data visualization, such as those provided by 365 Data Science and Analytics Vidhya.

Job outlook: 22% growth rate through 2030 (BLS)

Average annual salary: $57,000 68,000 (Glassdoor and PayScale)

This career path is for those more interested in building and optimizing data systems than mining them for actionable insights. Unlike the other data science careers, data engineering focuses on the systems and hardware that facilitate an organizations data activities rather than data analysis. As a data engineer, you will use your analytical and decision-making skills to develop your organizations data infrastructure and build data pipelines that ensure the relevant departments and decision-makers can access the data they need. Your focus will be on collecting, managing, analyzing and visualizing large datasets, and ensuring that all big data applications are accessible and working properly. The data engineer career path could also be a stepping stone toward a career in machine learning engineering.

Skill sets

Certification: Online certification courses are available, such as the Certified Data Management Professional (CDMP) certification offered by Data Management Association (DAMA) International, Googles Certified Professional in data engineering, IBM Certified Engineer in Big Data, the CCP Data Engineer from Cloudera, and the Microsoft Certified Solutions Expert certification in data management and analytics.

Job outlook: Between 22% and 33% through 2030 (BLS)

Average annual salary: $103,000 $117,000 (Glassdoor and PayScale)

This career path is for analytical and creative individuals whose main interest lies in innovating and designing new solutions for storing and managing complex database systems. As a data architect, you will work with software designers and data engineers to develop databases from the ground up, including design patterns, data modeling, and database integration. You will also be charged with integrating, centralizing, protecting and maintaining all data sources within your company. Youre responsible for how your organizations data is collected, stored and accessed.

Skill sets

Certification: Certified Data Management Professional (CDMP) from the Institute for Certified Computing Professionals.

Job outlook: 9% through 2031. (BLS)

Average annual salary: $104,000 $125,000 (Glassdoor and Payscale)

This career path is for those excited about the patterns and trends they can learn from building predictive machine learning models. As a data scientist, you need an analytical mindset and a passion for seeing your work improve business outcomes. Individuals pursuing a data scientist career must be able to take on the roles of mathematician, computer scientist, and business strategist and convey their analyses to technical and non-technical stakeholders. You will build and deploy predictive models that go beyond discovering what has happened to what will happen using machine learning or deep learning techniques. This role requires you to be an excellent problem-solver and be willing to keep your skills current. Many start their data scientist careers as data architects or data analysts.

Skill sets

Certification: Online certification courses are available for data science practitioners, such as those provided by 365 Data Science and Analytics Vidhya.

Job outlook: 27.9% growth rate through 2026 (BLS)

Average annual salary: $100,000-118,000 (Glassdoor and Payscale)

See More: Data Scientist: Job Description, Key Skills, and Salary in 2022

When choosing which career path, you should follow, take into consideration the advice of Yvon Chouinard, billionaire and founder of outdoor apparel brand Patagonia:

I regard purpose as being at the intersection of what the world needs, what youre good at, what youre passionate about, and how you can make money.

The world needs data scientists and is willing to compensate them well for their skills. Thus, choosing the direction of your career comes down to how your skill set matches that required by your chosen career and, more importantly, how passionate you are about it. You can always add to your skill set, but you can never recover the time spent in a job you are not passionate about.

Which data science career path would you like to pursue? Comment below or let us know on LinkedIn, Twitter, or Facebook. We would love to hear from you!

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School of Data Science and Society gains momentum – The Well : The Well – The Well

September 25, 2022 | Author: admin

After years of planning by hundreds of faculty and administrators across campus, Carolinas School of Data Science and Society (SDSS) is well underway.

The schools inaugural dean, Stan Ahalt, former director of the Renaissance Computing Institute, has been working tirelessly with an implementation leadership team. They are planning an official launch event later this semester.

The School of Data Science and Society will leverage the talents of world-class faculty across disciplines and focus on the foundations and applications of data science to improve lives in North Carolina and across the globe, said Chancellor Kevin M. Guskiewicz. The new school will also prepare students for a changing workplace and help attract and keep competitive employers in our state.

On Sept. 12, Guskiewicz joined Ahalt for a well-attended public conversation about expectations and future plans for the school at the UNC CURRENT ArtSpace + Studio. Also on hand to field questions from Ahalt were Interim Vice Chancellor for Research Penny Gordon-Larsen and Assistant Professor of Art History Kathryn Desplanque. The event was part of the popular Carolina Data Science Now series, co-sponsored by the new school and RENCI to illuminate data science research across disciplines.

I love the and society at the end of the schools name, Guskiewicz said when Ahalt asked about his expectations for the school. Were going to bring the social sciences, the human dimension, into the school, in the way we not only capture data, analyze data, interpret data, but (consider) how society uses that data to make informed decisions.

During the event, Ahalt and guests discussed how the school will address the increasing need for data literacy across different industries and research fields, including hiring faculty with diverse research backgrounds, forming relationships with relevant industry partners, providing training on effective data science methods and building a curriculum that addresses critical topics such as cybersecurity, artificial intelligence, and data privacy and ethics.

And they spoke a lot about the schools role in aiding the sharing of data between experts at the Universitys numerous research centers and institutes.

Data is really the language of collaboration, Gordon-Larsen said.

Gordon-Larsens insight into the collaborative nature of data science resonated with those in attendance on Sept. 12 for good reason. Throughout the decade or so of planning that led to this moment, collaboration has been a core principle. The schools interdisciplinary approach will be reflected in a pan-University advisory council to be named later this fall.

Other next steps include:

Over the next few months, Ahalt and the implementation team RENCIs Jay Aikat, Carolina geneticist Terry Magnuson and administrator Anna Rose Medley will define research clusters based on the subject areas on which the school will concentrate. At first that might mean three to five research clusters, all interdisciplinary, involving people from different schools focused on a major challenge that needs to be solved.

The implementation team views establishing the curriculum as among the groups most important goals. Theyre well underway in building the online masters degree program. A minor in the College introduced in the fall of 2021 has proven extremely popular, attracting more than 500 students in its first year. And the team is working on both the Bachelor of Science and Bachelor of Arts degrees in collaboration with the College and other schools.

The implementation team members and Ahalt welcome engagement with faculty, staff and students who have questions about the schools next steps and how they can get involved. Email sdss@unc.edu with questions, comments or suggestions.

The implementation team projects the first three years as a startup phase hiring faculty and staff and launching degree programs to move the school into a steady state of operations in five to seven years. A brick-and-mortar location will come later.

The schools leadership team is in the process of building out infrastructure to support curriculum, academic and faculty affairs, student enrollment and student mentoring. Additionally, discussions are underway with units across campus to develop a strategic roadmap to promote data literacy and data-related research and training across the entire University.

The collective expertise we need is already present on this campus. The SDSS will grow this pool of expertise and provide a focal point for collaborations, Ahalt said. Carolina is a unique institution that practices the credo of collaboration across disciplines. We will focus on the science, methods and technologies that anchor data science as well as applications that have an impact on society.

Based on the interest shown so far by faculty, staff and students, the School of Data Science and Society will be a welcome addition to the University.

What: SDSS Distinguished Speaker Series with Dr. Phil Bourne, founding dean of the School of Data Science at the University of Virginia (seminar open to the public, reception to follow)When: Wednesday, Sept. 28 at 12:20 p.m.Where: Kerr Hall, room 2001

Data science is transformative an easy assertion to make when one has worked in academia for several years. Nevertheless, the digital transformation of society cannot be denied. Academic data science initiatives around the country are responding and contributing to the transformation with new trainees, innovative research and local community action. As UNC launches its new School of Data Science and Society, we will spend time reflecting on the age-old question: Whats in it for me?

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Analytics and Data Science News for the Week of September 23; Updates from Count, Domino Data, Power BI, and More – Solutions Review

September 25, 2022 | Author: admin

The editors at Solutions Review have curated this list of the most noteworthy analytics and data science news items for the week of September 23, 2022.

Keeping tabs on all the most relevant analytics and data science news can be a time-consuming task. As a result, our editorial team aims to provide a summary of the top headlines from the last month, in this space. Solutions Review editors will curate vendor product news, mergers and acquisitions, venture capital funding, talent acquisition, and other noteworthy analytics and data science news items.

Count is a hyper-collaborative data platform that is putting collaboration and problem-solving at the heart of data analysis. Its flagship product canvas is an all-in-one data analysis and contextualization platform that helps teams join forces during the entire analytics workflow, accelerating data-driven decision-making across the whole business.

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The new Domino integration with NVIDIA GPUs and NetApp data management and storage solutions will allow teams to run AI and machine learning workloads in either data centers or AWS without refactoring them. To support partners as they advance AI centers of excellence with full-stack solutions, Domino has also released an NVIDIA-validated reference architecture for integrating MLOps and on-premises NVIDIA DGX systems.

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Domo released the 10th edition of its Data Never Sleeps (DNS) infographic, the annual glimpse at how much data is generated on the internet every minute by the ways people interact online. Over the last decade of chronicling the worlds data usage, Domo finds that the use of services such as Instagram, YouTube, Amazon, and Venmo among others has increased hundreds and even thousands of percentage points in some cases.

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Matik Team enables individuals and small teams to automate the creation of any presentation that needs to be personalized regularly or updated frequently. Matik Team automates the process of creating these data-driven presentationsall users have to do is provide Matik with a few inputs, like who the presentation is for or a specific date range, and Matik will generate a presentation natively in Google Slides or Microsoft PowerPoint that is ready for use.

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Horizontal Fusion is the term used to highlight the approach of fusing multiple smaller data source queries together into a larger data source query. Fewer data source queries mean fewer roundtrips and fewer expensive scans over large data sources, which ultimately results in sizeable DAX performance gains plus reduced processing demand at the data source. Not only do DAX queries run faster with Horizontal Fusion, especially in DirectQuery mode, but scalability also increases.

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The aim is to offer a unique webinar featuring an inside look at the vendors new platform for automation and remediation, which enables visibility across all environments so IT teams can continuously improve the digital workplace by optimizing productivity and cost. Alongside a live product demo, the Spotlight event will also feature an interview about the product with a member of Nexthinks team.

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Striim announced at the Big Data LDN conference and expo that it has expanded its worldwide reach and is making its fully managed data streaming service Striim Cloud available to the United Kingdom and Europe. Databricks Technology Partners integrate their solutions with Databricks to provide complementary capabilities for ETL, data ingestion, business intelligence, machine learning, and governance.

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ThoughtSpot has announced the opening of a new office in Trivandrum, the companys third R&D center in India. The new investment will fuel continued product innovation for the companys Modern Analytics Cloud vision and product line. The investments ThoughtSpot is making in India over the next five years is part of the companys long term strategy in the market and a natural evolution of activity to date.

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Youll master the skills necessary to become a successful Data Scientist. Youll work on projects designed by industry experts, and learn to run data pipelines, design experiments, build recommendation systems, and deploy solutions to the cloud. It is recommended that students be familiar with machine learning concepts and Python programming, probability, and statistics.

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For consideration in future analytics and data science news roundups, send your announcements to the editor: tking@solutionsreview.com.

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Tim is Solutions Review's Editorial Director and leads coverage on big data, business intelligence, and data analytics. A 2017 and 2018 Most Influential Business Journalist and 2021 "Who's Who" in data management and data integration, Tim is a recognized influencer and thought leader in enterprise business software. Reach him via tking at solutionsreview dot com.

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Analytics and Data Science News for the Week of September 23; Updates from Count, Domino Data, Power BI, and More - Solutions Review

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