Digitizing Intelligence: AI, Robots and the Future of Finance

March 3, 2017

Collapsing costs in computing, geometric growth in data, and intense competition between deep-pocketed companies have begun delivering breakthroughs in artificial intelligence (AI). Within financial services, AI technology could allow companies to establish new business models, reduce risk and expense, and increase productivity.

Spotlight

Foresite Group

Foresite Group, Inc. is a privately-held, full-service engineering, planning, and design firm. Since 2003, we have provided comprehensive consulting services to public and private clients throughout the country. Our team takes pride in its accomplishments; we enjoy enhancing and developing the cities and communities where we live, work, and raise our families.

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Increase Productivity Commercial construction solutions

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From commercial office spaces and classrooms to manufacturing floors, from stadiums to hotels and retail, Eaton offers Crouse-Hinds series and B-Line series products, services and resources that reduce complexity, speed installation and help maximize the overall return on your investment.

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Realizing Connected Construction Promises: Unlocking Growth through Value Chain Digitization and Efficiency Monitoring

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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

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SIMPLIFYING MODEL-BASED SYSTEMS ENGINEERING

whitePaper | June 23, 2022

Model-Based Systems Engineering (MBSE) is perhaps one of the most misunderstood and often abused acronyms in the engineering vernacular. Many companies struggle to understand how it will improve their entire product lifecycle and address the ever-increasing complexity of products. In many companies, executives and middle management experience a lack of understanding regarding the rapid pace of today’s technology and its impact on organizations and processes. Technical practitioners may gain additional insight as they focus their energies on establishing strong MBSE practices. The successful implementation of MBSE includes transformations and enhancements in three key areas: organization, process and technology. This white paper shares proper planning and implementation considerations in adopting an MBSE practice. It provides a high-level view, defines critical components to help success and identifies many problematic areas to avoid in an implementation journey.

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ENGINEERING THE NXT

whitePaper | May 24, 2022

The pace and degree of digital transformation has accelerated in the past year as businesses were forced to devise newer strategies to ensure business continuity while minimizing the negative impact of the pandemic. Enterprises that had made significant investments in digital technologies were better poised to face the unexpected and rapid changes in business scenarios, whereas those with low digital maturity had to spend a significant part of the early days of the pandemic in transforming their operations to suit the new normal. External factors such as customer needs and requirements, quality, reduction of production and control costs, environmental impact of products, etc., are pushing enterprises to re-evaluate their business strategies. They are continuously striving to find the right balance of increasing the margins of legacy products and to generate revenue growth through investments made towards digital innovation, new products, and services.

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Why Deck 7

whitePaper | January 1, 2020

With over 2,800 campaigns each year delivered through a team of 300+ digital, data, and technology specialists, Deck 7 is a first resource for B2B demand generation services for marketers worldwide. Clients leverage Deck 7’s multichannel content marketing services and Media 7’s network of 30+ online publications for content syndication to engage over 95 million buyers across 16 industries and 120+ countries.

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AI Data Engineering Lifecycle Checklist

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.

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Spotlight

Foresite Group

Foresite Group, Inc. is a privately-held, full-service engineering, planning, and design firm. Since 2003, we have provided comprehensive consulting services to public and private clients throughout the country. Our team takes pride in its accomplishments; we enjoy enhancing and developing the cities and communities where we live, work, and raise our families.

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