Bringing Job Costing to the Field

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.

Spotlight

Novetta

Novetta is an advanced analytics company that extracts value from the increasing volume, variety and velocity of data. By mastering scale and speed, our advanced analytics software and solutions deliver the actionable insights needed to help our customers detect threat and fraud, protect high value networks and improve the bottom line.

OTHER WHITEPAPERS
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How End-to-End Testing is Evolving

whitePaper | May 31, 2022

End-to-End (E2E) testing has traditionally been seen as a ‘final frontier’ of sorts in software development.

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Implementing AI in business challenges and resource

whitePaper | November 10, 2019

Large enterprises need to implement AI solutions quickly and efficiently, but many don’t have the right people, process and technology. Firms can accelerate progress to AI maturity through use of a robust workbench, an operating model built on a data science-led pyramid of skills, and pre-built solutions when data complexity and talent scarcity are too big a challenge.

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Machine Learning on Arm Cortex-M Microcontrollers

whitePaper | January 20, 2022

Machine learning (ML) algorithms are moving to the IoT edge due to various considerations such as latency, power consumption, cost, network bandwidth, reliability, privacy and security. Hence, there is an increasing interest in developing neural network (NN) solutions to deploy them on low-power edge devices such as the Arm Cortex-M microcontroller systems. To enable that, we present CMSIS-NN, an open-source library of optimized software kernels that maximize the NN performance on Cortex-M cores with minimal memory footprint overhead. We further present methods for NN architecture exploration, using image classification on CIFAR-10 dataset as an example, to develop models that fit on such constrained devices.

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Trusted Artificial Intelligence Towards Certification of Machine Learning Applications

whitePaper | March 30, 2022

Artificial Intelligence is one of the fastest growing technologies of the 21st century and accompanies us in our daily lives when interacting with technical applications. However, reliance on such technical systems is crucial for their widespread applicability and acceptance. The societal tools to express reliance are usually formalized by lawful regulations, i.e., standards, norms, accreditations, and certificates. Therefore, the TÜV AUSTRIA Group in cooperation with the Institute for Machine Learning at the Johannes Kepler University Linz, proposes a certification process and an audit catalog for Machine Learning applications.

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TOP FIVE WAYS TO PREPARE FOR YOUR NEXT OFFICE 365TENANT MIGRATION

whitePaper | July 31, 2020

With organizations around the world rapidly adopting Office 365, IT pros need to be prepared to perform efficient, effective tenant-to-tenant migrations. Whether you’re undergoing a merger or acquisition, or it’s time to clean up and consolidate your IT infrastructure to drive productivity and growth, a successful migration requires one thing above all else: a tight focus on your users’ needs. In the end, success is not measured by checking off pieces of data moved; it’s about ensuring that everyone remains productive during the project and after migration is complete.

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Policies and Regulations Around Aiusage: Interpretation and Impact

whitePaper | August 26, 2022

Started in 2013, Arya.ai is the first deep learning (DL) startup in India and has been one of the very early adopters to use DL in Financial Institutions. AryaXAI by Arya.ai, a full stack ML Observability platform, offers multiple components - AI explainability, ML monitoring, ML audit and Policy controls, which organisations require beyond simple ML monitoring tools.

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Spotlight

Novetta

Novetta is an advanced analytics company that extracts value from the increasing volume, variety and velocity of data. By mastering scale and speed, our advanced analytics software and solutions deliver the actionable insights needed to help our customers detect threat and fraud, protect high value networks and improve the bottom line.

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