RPA, the Next Revolution of Corporate Functions

whitePaper | August 8, 2022

Engineering and construction (E&C) companies have traditionally accepted this volatility as a result of the inherent complexity of jobs: Construction projects bring together contractors, suppliers, equipment, labor, and global supply chains that are more precarious than ever. But one root problem is that most E&C companies are still trying to juggle this high level of complexity with a relatively low level of technology adoption. The construction industry lags far behind nearly all others in digitization, spending less than 2% of revenue on Information Technology

whitePaper | March 2, 2020

The automotive industry is going through the greatest revolution in its history. From insurance and financing to after-market services and flexible business models, digital disruption is driving every organization out of its comfort zone. In this white paper, you’ll learn how technology-driven trends and customer service expectations are redefining the CX.

whitePaper | April 12, 2022

COBOD is a globally leading company within the 3D construction printing segment. One of a few companies in this segment that has been making headlinesin the press for the commercial projects completed by the many users of its 3D construction printers around the world. Among others, they have completed the first 3D printed building in Europe, The BOD, in 2017 and Europe’s first two- and three-story buildings when most still thought it would be impossible to 3D print multi-story houses.

whitePaper | February 24, 2022

Cloud-native engineering empowers organizations to design and develop scalable, agile, cost-effective applications and run them in dynamic environments such as on-premises or in public, private, or hybrid clouds. A cloud-native application consists of microservices working together in an application that can be scaled easily. These microservices are often packaged in code along with libraries and dependencies to run anywhere. In a cloud-native app, the application code is designed, built, and delivered very differently than it would be for conventional, monolithic apps. Cloud-native engineering enables loosely coupled systems that are resilient, manageable, and observable to be combined with robust automation, allowing engineers to make changes frequently.

whitePaper | July 21, 2022

President Biden has called for net-zero emissions, economy-wide, by 2050. Accomplishing this will require increasing efficiency, vastly increasing renewable energy capacity, and transitioning from fossil fuels to clean electricity. Buildings have a critical role to play in achieving each of these objectives. This paper proposes a framework for determining which metrics are best suited for policies to move existing commercial and multifamily buildings forward on the path toward zero carbon emissions. Choosing the right metrics is necessary for effective policies, but it is not sufficient to achieving a just and inclusive energy transition. Building performance policies — in conjunction with other complementary policies — must bring the benefits of improved performance to those living in affordable housing andhistorically underserved communities, and at the same time ensure that the cost of compliance does not create new burdens. Jurisdictions must consider the impact of policy decisions on equitable outcomes, particularly with respect to establishing performance levels, options for compliance, and penalties for non-compliance.

whitePaper | May 12, 2022

Machine learning is powering most of the recent advancements in artificial intelligence including autonomous systems, computer vision, natural language processing, predictive analytics, and a wide range of applications among the seven patterns of AI. However, in order for these systems to be able to create accurate generalizations, these machine learning systems must be trained on data. The more advanced forms of machine learning, especially deep learning neural networks, require significant amounts of data to be able to create models with acceptable levels of accuracy.