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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This issue of The Cutter Edge discusses the use of an architectural strategy for digital business success, why complementary paths to legacy transformation offer an easy way to acquire new digital capabilities and intellectual capital, and the three roadblocks standing in the way of digital transformation.
This Executive Update series examines the extent that organizations are using or planning to use CX practices and technologies, the status of implementing CX management, the establishment of dedicated enterprise CX groups, and the reason such groups oversee CX initiatives. Here in Part VIII, we examine survey findings about the use cases and domains organizations see as most viable for applying CX.
Transformer-based natural language processing (NLP) models have serious implications for the entire field of NLP — from speech recognition systems to natural language generation (NLG), natural language understanding (NLU), machine translation, and text analysis applications. Consequently, tools for developing transformer-based models have become popular among researchers and developers implementing NLP applications.
Curt Hall predicts an increase in enterprise adoption of AI and, echoing Andriole’s sentiments, emphasizes “calls for new regulations to help guide and ensure the fair use of the technology.” He also anticipates a demand for greater transparency, fairness, and “explainability” in AI applications and products from developers and end-user organizations.
Autonomous systems are on the rise and, according to Cutter Consortium Senior Consultant San Murugesan, will “transform many different sectors in unimaginable ways.” He describes how technologies such as IoT, drones, robotics, ML, AI, and nano, among others, will extend the capabilities of autonomous systems. Current applications of autonomous systems technology draw attention to the adoption challenges.
Claude Baudoin addresses the issue of trust, or mistrust, in the information we rely on to stay informed or to make decisions. He writes, “This article is not a definitive proposal to achieve the elusive goal of knowing what we can trust, but rather a set of perspectives and considerations to justify the urgency of addressing this issue.” Some reasons for our untrusting mindsets include “deep fakes,” voting systems breaches, bias in decision algorithms, unknown sources of email, insufficiently secured IoT systems, and robocalls.
Cybersecurity urgently needs attention from businesses and government, according to Cutter Consortium Senior Consultant Paul Clermont. He highlights how several colliding trends — complexity, AI, and inter-connectedness — are compounding long-standing risks. Clermont discusses the tactics necessary to address them but cautions that “compounding the difficulty of these tasks is the need to be able to execute algorithms and procedures in nanoseconds — a tall order that should inspire a bit of conservatism about how much functionality and connectivity we might want versus what we truly need.”
According to Cutter Consortium Senior Consultant Whynde Kuehn, “Amid a backdrop of digital transformation and a continually shifting landscape of change, business architecture is gaining momentum and relevance.” In her article, she discusses the areas in which business architecture will continue to play a key role and illustrates how three specific scenarios will lead the way to increased relevance and leadership. Kuehn lays out what this might mean to you, along with the steps you need to take to realize these benefits.