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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Choosing a dissent strategy is difficult and the strategy chosen will vary from organization to organization. This Advisor helps software architects craft an effective dissent strategy.
This Advisor describes one way of establishing a non-blocking architecture governance practice for Agile development teams.
Effective decision support requires ongoing innovation and refinement. As decisions become more complex and as data increases in quantity and variety, systems must undergo refinement and enhancement. Consequently, decision support requires a continuous and iterative design and development process.
This Advisor looks at the top two benefits that organizations are interested in achieving with their customer experience efforts.
An understanding of the interplay of human users with automation, the underlying system actors (business applications, data, etc.), the business process, and the overall value chain is complex. What better way to keep human users at the center of automation design than the use of design thinking? Design thinking has already been established as the best way to create solutions for wicked problems that cannot be solved by reasoning alone. By adapting design thinking for smart automation, we can analyze the problem space better and incrementally improve on the solution, moving toward success while considering human factors. The design thinking process has five stages: empathize, define, ideate, prototype, and test. Let’s investigate how we can adapt it for smart automation initiatives.
In this week's The Cutter Edge: Find out how business architects play a vital role as guides in an organization’s transformation story, explore the common elements/steps organizations should consider to deliver value to core businesses or to new markets, and identify the current and future state of disruption among industries.
This Advisor focuses on the quest for explainable AI and examines some current tools and techniques for addressing transparency and fairness in machine learning applications.
The cognitive enterprise relies on a business knowledgebase, framed by its business architecture, and cognitive computing technologies. In this on-demand webinar, you'll discover what it takes to evolve to become a highly adaptive enterprise — one that is increasingly efficient, effective, and responsive to customer demands; one that can respond quickly to whatever comes its way.