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Digital Empowerment and Transformation

Organizations must adapt faster than ever to remain competitive. Enterprise leaders, including CIOs and other IT leaders, must transform their organizations with nimble digital solutions and processes to thrive. To meet these challenges, organizations are recognizing the need to adopt an enterprise cloud strategy. By enabling increased flexibility and mobility in the business model, a cloud investment can serve as a foundational component of digital transformation.

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Computacenter

Computacenter is Europe’s leading independent provider of IT infrastructure services. We can advise customers on their IT strategy, implement the most appropriate technology from a wide range of leading vendors and manage their technology infrastructures on their behalf. At every stage we make our customers’ businesses sharper by removing cost, complexity and barriers to change across their IT infrastructures. Our corporate and government clients are served by offices across the UK, Germany, France, the Benelux countries, Spain and South Africa. We also serve our customers’ global requirements through our extensive partner network. Formed in 1981 by British Harvard graduates Philip Hulme and Peter Ogden, Computacenter today has over 10,000 employees across Europe and Group revenues of over £2.5 billion. Our business activity falls into the broad categories of Managed & Transformation Services, Consulting & Changing Services and Sourcing & Deployment Services.

OTHER WHITEPAPERS

White Paper on the use of Artificial Intelligence in Trade Facilitation

whitePaper | February 15, 2023

Artificial intelligence (AI) is an enabling technology impacting the global economy and international trade. Combined with business-process-oriented automation and more efficient data flow exchanges, AI further promises to lift barriers to international trade, stimulate growth in global electronic commerce and allow for better predictions and associations to inform policy decisions.

Bringing Job Costing to the Field

whitePaper | April 16, 2020

In construction, we are often designing and constructing made-to-order assets, so there is immediately less certainty. We may be dealing with multiple projects for different people, with different schedules, and run by different project managers. Each will be in a different location, with different site footprints, different ground conditions, different access routes, etc. And, partly influenced by their locations, we are often dealing with different suppliers we might select local designers, subcontractors, plant, materials, and product suppliers based on their proximity to the site.

IBM Watson NLP Performance with Intel Optimizations

whitePaper | December 29, 2022

In our modern world, taking advantage of Artificial Intelligence (AI) to gain insights from data is becoming more prevalent day by day. Graphical Processing Unit (GPU) systems use multiple cores to perform parallel processing, running select workloads to decrease processing times. Compared to GPUs, Central Processing Units (CPUs) have fewer cores; previously, this resulted in less capacity for parallelized processing. To move beyond this limitation, Intel has released new hardware that runs typical AI mathematical computations more efficiently on the CPU, and has also released libraries with hardware optimizations that enable an additional increase in performance.

Artificial Intelligence in Talent Assessment and Selection

whitePaper | December 1, 2021

The health and vibrancy of our national economy depends on the health and vibrancy of our organizations. How an organization is staffed is a key driver of its health. Yet only one in three executives rates his or her company as “very effective” at reducing unsuccessful hiring decisions (Bravery et al., 2019). Thus, industrial-organizational (I-O) psychologists help organizations thrive by choosing the right talent for the right job at the right time, using the most accurate, cost effective, and fair tools available (Ployhart, Schmitt, & Tippins, 2017).

WHAT JOBS ARE AFFECTED BY AI?

whitePaper | December 15, 2019

The debate between experts over how automation will affect the future of work has been one of the most active cottage industries in labor economics in recent years. Numerous scholars forecast major disruptions of human work; others minimize those impacts. And yet, the field has nevertheless managed to generate a number of shared insights, with none more consistent than the finding that least welloff will suffer automation’s greatest shocks on the labor market.

More Whitepapers

Digital Empowerment and Transformation