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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Paul Clermont dives straight into the three overarching issues related to AI: unintended consequences, unintended bias, and privacy. Clermont offers no-nonsense advice for dealing with these issues, advocating for laws that make organizations responsible for the algorithms they use (whether bought or built) and prohibit unexplainable AI in applications that could harm people physically or affect their lives in significant ways.
This article presents the keys to achieving trust in AI. The first step is building cross-disciplinary teams. Then we must impart AI with emotional intelligence, which involves not only transparency, but also explainability and accountability. Eliminating bias and ensuring fairness must, of course, be in the mix.
This Advisor tells the story of two similar organizations with initiatives to derive and define data models. The first organization had a business architecture in place, which included a well-defined capability map, value streams, and information map. The second organization did not.
Making an organization more data-driven doesn’t always entail a large transformation program, but it does require a clarity of vision and pragmatic joined-up thinking. To achieve all or some aspects of vision, there are four dimensions that need to be addressed in your data strategy: reach, richness, agility, and assurance. In this Advisor, we share some questions that Veryard answered at the end of the webinar.
Here in Part VI of this Executive Update series, we examine the remaining five technologies organizations are interested in adopting to support their enterprise IPA efforts.
One of the most pressing questions for the quantum computing community today is: when will quantum computers beat a classical supercomputer by solving a real-world problem of practical interest? This is commonly referred to as “quantum advantage,” which is different from quantum supremacy. The simple answer is that no one knows.
In a recent webinar, Cutter Consortium Senior Consultant Jon Ward introduced an agile approach that uses behavioral theory, lean principles and agile wisdom to help teams create high-value solutions quickly. This Advisor shares the Q&A session that followed. Perhaps Jon's advice will spark some new ideas on how your organization can leverage Agile Lineout practices for team success.
This Advisor examines the findings of a Business Architecture Strengths Study from a Clifton Strengths assessment and provides a few recommendations to leverage the unique abilities of business architecture within our organizations.