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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How does one measure culture? How can measures and metrics be used to influence positive culture change? Cultural measurement needs to focus on evaluating outcomes and processes that reflect behavior change. Two major types of measures that provide valuable perspectives are business outcome and enabling metrics, and we can apply both measurement types to culture change.
My previous Advisors referred to the use of business capability modeling and heat maps to better focus on business areas that require attention for an IT rationalization. In this Advisor, I expand on the use of reference models, what they are, and why to consider them.
Each year, research organizations publish lists of the top technologies to watch in the new year. Many of these trendy “celebrity” technologies appear on every list we see. But what about the ones that don’t always make the lists but are important to our personal and professional lives? In this Executive Update, we present a list of seven underdogs — technologies to watch closely. Look out — they just might become “wonderdogs” in 2021 and beyond.
The Cutter Edge
Leverage BA for Global Change, VPN's Alternative, more!
How a business architecture can help organizations achieve UN SDGs, cloud-based remote access software as an alternative to VPNs, and more.
Increasingly, government agencies, businesses, universities, and other organizations are working together to build AI systems that analyze geo-mapped and other location-based data. One such impressive new ML application uses Uber driver data to track and alleviate urban traffic congestion. It is designed to give urban transportation analysts and traffic engineers access to information about city traffic patterns in order to relieve bottlenecks, chokepoints and other problems.
One of the key advances in software development in recent years has been the automation of many tasks and services. Contemporary software automation goes far beyond simple task runners and is now beginning to augment artificial intelligence and machine learning into the process, which further widens the scope of what can be automated. However, not all tasks in software development are well suited to automation, and not all tasks should be automated. Where do you draw the line, and where is software automation most useful for developers?
While every UN member state should use the SDGs for framing their agendas and political policies, the responsibility and potential for meeting these goals also lies with every individual and organization. This includes governments, non-profit organizations, and even for-profit businesses, which can be a powerful mechanism for change.
It takes a lot more than rugged and hardened data architecture to ensure data quality. One way of thinking about data quality issues as they relate to data architecture is to examine and address them through a layered approach described in this Advisor.