Applying Artificial Intelligence to Built Environments through Machine Learning

January 5, 2020

Machine learning (ML) is an application of artificial intelligence (AI) that allows systems to automatically learn and improve from exposure to more data without being explicitly programmed. ML focuses on the development of computer programs that can access data and use it to learn for themselves.1 While AI represents the broader concept of machines being able to carry out tasks in an intelligent way, machine learning is a current application of AI based on the idea that we can give machines access to data, and they can use that data to learn for themselves.

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Pomeroy

Pomeroy provides high quality IT infrastructure services from its locations throughout the United States, Canada, Latin America and Western Europe. Pomeroy's portfolio of infrastructure managed services includes End User Services and Network, Data Center and Cloud Services. Pomeroy also provides staffing services and the full range of procurement & logistics services. A recognized leader in the End User Services markets, Pomeroy’s ITIL-certified professionals employ a process-centric approach to working with clients, either remotely or on-premise, to assess, plan, design, build, test, implement, manage and ultimately optimize each client's IT infrastructure, leading to the creation of tangible business value and return on their IT investments.

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A Blueprint for Equity and Inclusion in Artificial Intelligence

whitePaper | June 28, 2022

Artificial intelligence (AI) has been accelerating across sectors. It has great potential to benefit society but the technology’s full potential can only be realized if it includes the diversity of the populations it represents throughout every step of its development. With growing concerns about bias, data privacy and lack of representation, it is critical to re-evaluate the way in which AI is both designed and deployed to ensure that all affected stakeholders and communities reap the benefits of the technology, rather than any harm.

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TOP 5 REASONS TO PUT PRIVILEGE FIRST

whitePaper | July 20, 2020

Privileged access is the gateway to an organization’s most valuable assets and is at the core of nearly every major security breach. Organizations must have a strategy in place to manage and monitor privileged access, as well as detect and respond to threats if they’d like to mitigate risk from today’s advanced attacks. Your application stack and infrastructure is likely quite complex and it can be hard to identify which assets are the most sensitive. And there is a never-ending supply of vendors knocking down your door competing for your time and attention. These two realities make it increasingly difficult to identify which security project to tackle next. When thinking about how to prioritize, it is advantageous to take a step back and think about your businesses goals, albeit in a slightly different way: try to envision what you would be looking for if you were an external attacker or malicious insider looking to steal sensitive data, commit Ransomware, or use your infrastructure for illicit cryptomining.

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Cloud SOS: Treating a case of cloud failure

whitePaper | August 5, 2020

Your cloud-enabled future loomed bright. Major budgets were allocated. Agonising hours were spent herding stakeholders. You’re now using cloud, but your teams and the wider business aren’t reaping the expected benefits. Even with the best intentions, tech leaders are struggling to fill those skills gaps, particularly when it comes to cloud implementation, migration and net new deployments. As a result, the business is held back – from capitalising on the cloud’s potential to deliver value internally (boosting efficiency and agility) and externally (delivering products and services that boost revenue).

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AI for the Masses

whitePaper | October 13, 2022

Walk into any Fortune 500 organization, and you’re more than likely to find a room full of data scientists. These individuals are being described by many as the difference makers, the propagators of change, the fuel to the fire of innovation, and the essential ingredient to survival in today’s digital economy. Data scientist job openings are among the hardest positions to fill in the market, yet they are among the highest paying jobs at many companies.

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Automate Machine Learning with H2O DriverlessAI on Dell Infrastructure

whitePaper | June 22, 2022

Artificial intelligence (AI) and machine learning have revolutionized how organizations are using their data. Automated machine learning (AutoML) facilitates and improves the endto-end data science process. This process includes everything from preprocessing and cleaning the data, selecting and engineering appropriate features, tuning and optimizing the model, analyzing results, explaining and documenting the model, and of course, deploying it into production.

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AI Test Drive clears the way for business case validation

whitePaper | August 26, 2022

Evolving data centers into intelligent hubs for digitized business processes poses numerous challenges for IT managers. Many organizations are already adopting hybrid IT concepts to make their data center operations more flexible. However, they also have to keep an eye on new requirements such as IoT, AI, blockchain, container technology as well as data security, legal regulations and climate change. How can all this be seamlessly integrated and managed? And, what will matter next for the data center of the future?

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Spotlight

Pomeroy

Pomeroy provides high quality IT infrastructure services from its locations throughout the United States, Canada, Latin America and Western Europe. Pomeroy's portfolio of infrastructure managed services includes End User Services and Network, Data Center and Cloud Services. Pomeroy also provides staffing services and the full range of procurement & logistics services. A recognized leader in the End User Services markets, Pomeroy’s ITIL-certified professionals employ a process-centric approach to working with clients, either remotely or on-premise, to assess, plan, design, build, test, implement, manage and ultimately optimize each client's IT infrastructure, leading to the creation of tangible business value and return on their IT investments.

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