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.
Recently Published
Over the last decade, we've been engaged in an enthusiastic and far-ranging exploration of various kinds of openness. We've explored open data standards and open application platforms as well as the concept of open innovation in which we seek to leverage both the intellectual property and exploitive capability of external individuals and organizations.
In my recent Cutter Webinar "Implementing a Technical Debt Prevention, Measurement, and Reduction Program in Your Company" (8 June 2011
The business analysis profession is in the midst of change. Work is underway within organizations and associations to formalize and standardize what it means to be a business analyst (BA). The role has had a long and tortuous existence. A child of necessity, the role evolved to bridge the gap between what those responsible for operating an organization wanted to do and what those responsible for implementing technology were able to deliver.
Watch Ken Collier in this on-demand webinar to learn how to enable the collaboration and continuous realignment of expectations between developers, customers, and managers that agile analytics requires; who makes up the core group of critical project community members without whom the agile analytics project cannot succeed?; the collaboration characteristics shared by effective analytics teams, and how you can become an effective leader who fosters these characteristics.
