Defining a Practical Path to Artificial Intelligence

June 28, 2019

In this paper we will evaluate the path to AI for public sector agencies and commercial organizations, identify key questions and options to consider, and determine how to accelerate implementation and management within existing budgets.

Spotlight

Marlabs Inc.

Marlabs helps drive digital agility for our clients. We deliver innovative business solutions using digital technologies such as cloud, mobile, analytics, Internet of Things, and social. With a dedicated team of over 2,100 associates, a network of delivery centers in USA, Canada, Mexico, and India, and strong partnerships with industry leaders, Marlabs offers a wide range of IT services across industries. Through our emphasis on quality driven by CMMi, PCMM, ISO 9001-2000, ISO 27001, and SSAE 16 Type II best practices and a customer- centric client engagement model, Marlabs has achieved a dependable track record of meeting high standards of excellence in every customer engagement. This has resulted in several awards and recognitions, including being consistently ranked as one of the best places to work in New Jersey. Marlabs is headquartered in New Jersey, United States.

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THE INTELLIGENT ENTERPRISE FOR CARGO COMPANIES

whitePaper | November 15, 2019

The demands of running global supply chains can be unrelenting – perfection of operations, innovation in support of lastmile delivery, and assurances of sustainability in the pursuit of delivering the “perfect order” as promised. Now, transportation companies face the additional challenge of sharpening their core competencies while increasing the pace of innovation, adapting emerging technologies, and sharing data with their customers to improve transparency and efficiency. Long characterized by capital-intensive assets, forward-looking cargo companies are turning their attention to the data that comes from their own assets and infrastructure as well as from their customers. It is a complex transition, one that requires knowledge-based labor, automation, and predictive planning to turn transportation companies into digital platforms.

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Applying Artificial Intelligence to Built Environments through Machine Learning

whitePaper | 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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Dell PowerScale: Key Performance Prediction using Artificial Intelligence for IT Operations (AIOps)

whitePaper | September 28, 2022

Architecting IT infrastructure has never been more challenging than it is today. Many enduser workloads, such as semiconductor design, autonomous driving development, and life sciences and healthcare are growing more complex every day. With that complexity comes growing demand on IT.

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A Taxonomy of Trustworthiness for Artificial Intelligence

whitePaper | January 11, 2023

Improving the trustworthiness of artificial intelligence (AI) systems is a shared priority for the private and public sectors, as indicated by prolific research and guidelines in recent years.

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AI in Retail Marketing

whitePaper | August 18, 2021

Among retail marketers, a reliance on traditional business intelligence tools has left the intuitive decision-making in the hands of the marketing team. Download this guide to learn how to solve this AI dilemma.

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The Commonsense Path to Simple and Secure Remote Worker IT Management

whitePaper | July 28, 2022

Many businesses have recently evolved to support large remote or hybrid workforces. This initial transition was imagined to be temporary, relying on home networks to provide the connectivity needed for work. Now, two years later, companies are contemplating technology improvements to address a more permanent remote workforce.

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Spotlight

Marlabs Inc.

Marlabs helps drive digital agility for our clients. We deliver innovative business solutions using digital technologies such as cloud, mobile, analytics, Internet of Things, and social. With a dedicated team of over 2,100 associates, a network of delivery centers in USA, Canada, Mexico, and India, and strong partnerships with industry leaders, Marlabs offers a wide range of IT services across industries. Through our emphasis on quality driven by CMMi, PCMM, ISO 9001-2000, ISO 27001, and SSAE 16 Type II best practices and a customer- centric client engagement model, Marlabs has achieved a dependable track record of meeting high standards of excellence in every customer engagement. This has resulted in several awards and recognitions, including being consistently ranked as one of the best places to work in New Jersey. Marlabs is headquartered in New Jersey, United States.

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