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IT SERVICES

IT as a service (ITaaS) is an operational model where the enterprise IT department acts and operates as a distinct business entity, creating services for the other lines of business within the organization. This report is designed to provide insight into the requirements for supporting ITaaS. ITaaS is a competitive business model where an IT department views the LOBs as having many options for IT services, and the internal IT organization has to compete against external providers to serve these LOBs.

Spotlight

JMT Technology Group

JMT Technology Group is a dynamic geospatial services provider that assists government and private sector markets to solve complex business challenges through the use of web, desktop, and mobile technologies. We help our clients to access and visualize their data spatially making it possible to ask and answer questions that would otherwise not be possible. JMT’s industry experience allows our clients to receive more immediate and measureable return on investment through our ability to facilitate a proven, collaborative process that ensures the best solution for each unique challenge.

OTHER WHITEPAPERS

Understanding the Oracle APEX Application Development Lifecycle

whitePaper | October 21, 2022

Oracle APEX is the world’s most popular low-code application platform for enterprise apps. It’s free to use with any Oracle database or database cloud service. Using a browser-based builder, you and your team create modern data-centric web apps that are reliable, scalable, and secure. End users access them with desktop or mobile browsers or install them like native apps in one click. Every day APEX developers the world over help each other succeed. They produce everything from small departmental apps done by one or two people, to complex, business critical systems engineered by a team of IT professionals.

Machine learning and artificial intelligence in a brave new world

whitePaper | December 22, 2022

Machine learning, one of the key building blocks of AI, has been a part of the technological world since the 1950s, when the earliest programmers asked computers to make sense of large sets of data. Programmers have increasingly refined the ability of machines to study data in order to detect patterns that allow computers to then organise information, identify relationships, make predictions and detect anomalies. Today, modern applications of AI have already given us self-driving cars and virtual assistants and have helped us detect fraud and manage resources like electricity more efficiently. Sectors as diverse as retail, sports, banking, manufacturing and healthcare have all found applications for machine learning and AI.

Unleash data and AI forcompetitive advantageReady your data for AIand multicloud

whitePaper | January 10, 2020

Instead of following a set of rote, preprogrammed instructions, AI enables machines to learn, and then “act,” on information. Your voice-activated phone, technologies such as speech and image recognition, autonomous vehicles, the smart devices in your home—all of these advances were made possible by AI technology. AI also marks a fundamental advancement in critical, often time-consuming, business processes. It’s poised to dramatically enhance human decision-making and improve an organization’s ability to make predictions, automate business practices, and optimize logistics.

Optimize Microsoft SQL Server Workloads with NetApp Solutions

whitePaper | July 31, 2020

IT organizations face constant change. There’s the overarching transition to cloud, which raises questions about what workloads to move when. And there are application-level transitions imposed by vendors when they end support for older versions of software, forcing companies to upgrade. Microsoft SQL Server is swept up in both of these transitions. Organizations rely on SQL Server for everything from ERP to analytics, and thousands of them are running the 2008 or older versions that are now end of support.

AIOps: The future is here 2

whitePaper | October 18, 2022

The term Artificial Intelligence for IT Operations (AIOps) combines big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination.

Fair Use of AI

whitePaper | June 28, 2022

Questions touching on AI ethics and fairness are becoming more mainstream. In recent years we have seen greater public consciousness of what was once a relatively obscure academic issue. This includes the close attention paid to the use of an algorithm to determine 2020 A-levels by the Office of Qualifications and Examinations Regulation (or “Ofqual”).

IT SERVICES