Strategic advice to leverage new technologies
Technology is at the heart of nearly every enterprise, enabling new business models and strategies, and serving as the catalyst to industry convergence. Leveraging the right technology can improve business outcomes, providing intelligence and insights that help you make more informed and accurate decisions. From finding patterns in data through data science, to curating relevant insights with data analytics, to the predictive abilities and innumerable applications of AI, to solving challenging business problems with ML, NLP, and knowledge graphs, technology has brought decision-making to a more intelligent level. Keep pace with the technology trends, opportunities, applications, and real-world use cases that will move your organization closer to its transformation and business goals.
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Last year, Barry M. O’Reilly predicted that 2020 would be “the year that Agile got found out.” Well, we all know that 2020 took an unexpected turn. So, in this Executive Update, let’s look deeper into the outcome of my prediction and explore how Agile and agility, especially in the face of a global pandemic, has truly panned out since my “before the world changed” assertion.
This Advisor explores an intelligent system using AI technologies to automate data extraction to any one of many structured formats. The system performs minimal manual annotations to capture the semantics of specific sections for any particular document template. Once that has been done, millions of documents can be fed through the system to extract information automatically. This Advisor provides a brief look at that system.
The role of data architects is sometimes vaguely defined and tends to fall on the shoulders of senior business analysts, data scientists, or database and ETL specialists. As with any kind of architecture, designing for uncertainty is a key requirement with data architecture.
Łukasz Paciorkowski and Piotr Karolczak present a digital twin maturity model that can help organizations make better decisions around the structure of digital twins applied to industrial applications. The model presents several capabilities that organizations can explore across several maturity levels.
Jacqueline Corbett, Adnène Hajji, and Sehl Mellouli discuss how digital twins can promote smart, agile, sustainable cities. First, the authors present the concept of organizational agility and the ways it promotes organizational success. Then, they explain how digital twin dimensions and capabilities support and contribute to organizational agility. The authors also present some examples and conclude with recommendations for cities in their consideration for the use of digital twins.
Jon Geater investigates the relationship of security and trustworthiness to digital twins. He looks at the possible security impact of the analog world on the digital world and how to address it. His application of the “nature versus nurture” analogy to digital twins is compelling. Geater discusses several security-related topics that organizations should consider, and he ends with a look at how to address digital twin security as we move forward.
Madison White explores how digital transformation in the transportation industry is being combined with automotive digital twins to produce the next generation of autonomous vehicles. She looks at the challenges facing production-scale deployment of digital twins, including digital twin accuracy, connectivity, data accuracy, interoperability/standardization, and trust/security. She concludes with the cost benefits of developing a vehicle using digital twins, including predicting maintenance, and thus lowering cost of ownership during the lifetime of a vehicle, and cleaner air.
Chloé Audigier and Dileep Mangsuli explore digital twins in the medical domain, specifically regarding modeling humans and their care. They explore the complexity of data related to various organs and scenarios, especially how models must be based on the behavior of many people yet personalized to a specific person. Medical digital twins can help predict therapeutic outcomes and how an individual will react to a particular approach. This is a promising field with endless applications and possibilities.