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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The rise of cloud technologies and continued technical advances in computing architectures have dramatically altered how we design data warehouses, but we continue to see both IT staff and vendors continue to recreate the old data warehouse. As we explore in this Advisor, with the new technologies that are available, instead of having two architectures — one for data lakes and the other for data warehouses — a single “new rules” architecture can handle both.
In Part I of this three-part Executive Update series, we look at the myriad ways that data can operate in your organization. In Part II, we will take the concept further and examine the four dimensions of information superiority in greater detail. Finally, Part III will show how all this impacts building an effective roadmap toward creating a data-driven business.
To ensure success when implementing low-code/no-code solutions, companies should consider the five important priorities described in this Advisor.
In today’s highly competitive environment, it can be challenging to fulfill the development and operational demands needed to keep your businesses running while also continuing to expand and enhance your digital capabilities. This is where “citizen developers” can help — and where “low-code/no-code” (NC/LC) solutions shine.
This Advisor explores the critical need to assess or evaluate the value of EA through the use of metrics or measures to demonstrate the specific strategic business value that EA brings to a particular organization.
In a recent webinar, Cutter Consortium Senior Consultant Whynde Kuehn discussed how organizations can leverage business architecture to support the UN’s 17 Sustainable Development Goals (SDGs). This Advisor shares the Q&A session that followed.
This week's Cutter Edge explores the challenge we face in ensuring the data we collect and analyze promotes a better life for all on this planet, rather than increasing the imbalances and dysfunctional behaviors; why we need to break out of familiar patterns in order to be open to innovation; and more.
A recent settlement between the US Federal Trade Commission (FTC) and photo app developer Everalbum, Inc. could have significant repercussions for organizations developing machine learning (ML) and other artificial intelligence (AI) models using consumer data. The settlement requires Everalbum to delete the face recognition models and algorithms it allegedly developed by using photos and videos uploaded by its users.