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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All friction is suicidal because it is your energy being wasted unnecessarily. We don’t have that much energy to waste in fighting with ourselves.
The key point is that pace is relative — it is likely to be comparatively fast or comparatively slow, but there will always be some EA environments with a mixture of both fast and slow, and some that fluctuate between the two extremes.
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Three Waves of Wearables
When we talk about wearables, most of us have one or two specific devices in mind that we use to add tangibility to our thinking.
If you look closely at Agile, it is actually a huge advocate of building in quality and calls for everyone on the team to own quality. Agile/Scrum calls on the product owner to produce clear stories and acceptance criteria, the dev team to test their code, testing staff to be involved with the dev team from the start, and of course have customer involvement whenever possible.
Being true to architecture’s roots in business does a couple of things: it ensures that we stay grounded in things that matter, and it provides a framework of values that guides and validates everything that we do in the name of architecture.
Organizations developing Internet of Things (IoT) connected solutions face a number of considerations, including decisions about which wireless and network protocols to use, device connectivity issues, messaging protocols, security, scalability, and data storage and analysis requirements.
Mobile app security is a problem for the individual user, for the corporation, for the app developer, for the network provider, and for any software or access point available for exploitation. The seriousness and wide extent of these vulnerabilities define the “Great App Trap.” Without sufficient care, it is easy to overlook any of the innumerable issues.
A new pilot application developed by US retailer Sears to help customers find and compare tires offers a good example of the types of natural language processing (NLP)–powered customer engagement and customer experience applications we are seeing.