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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Data democratization means providing equal access to everyone — leveling the playing field between parts of the organization so that all parties can get access to the data. Data democratization is also a recognition that today’s economy is truly an information one, filled with information workers — and information workers need information.
This Advisor is a call to pause — to ponder where architecture has been and where it is and to provide a framework within which to do that.
In this issue, you'll discover why it's survival of the fittest in the digital game, why software delivery talent is so hard to find, how to meet the challenges of the skills shortage, and more!
Emotion recognition is an evolving technology that is still in the very earliest stages of enterprise adoption. However, commercial providers now offer platforms and services utilizing emotion recognition, and we are seeing end-user organizations express growing interest in using the technology.
This Advisor describes what an organization needs to develop and implement the organizational skills and capabilities associated with big data.
Organizations are interested in adopting several technologies to support their customer experience initiatives. This Advisor considers two specific areas: personalization and omnichannel customer engagement and marketing platforms.
Similar to the semantics of user stories, which always express change, it is beneficial to describe architecture as a series of changes — structural changes through time. The smaller the gap between the architecture representation of the architecture and its realization, both in expressiveness and timing, the more relevant the architectural changes.
Artificial intelligence (AI) and machine learning (ML) has vulnerabilities that can create serious consequences for lives and property. In this Advisor, we investigate AI’s vulnerabilities, examining where problems can occur in development and application.