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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During this on-demand webinar, Cutter Senior Consultant Prof. Bhuvan Unhelkar introduces a big data framework for agile business that combines analytics and technologies together to create strategic opportunities for business agility.
Pair programming is not about taking turns at the computer. It’s about bringing two minds to bear on a single problem. If you hired a moving company and only one guy showed up, how would he manage to get that king-size mattress on the truck? We wouldn’t hesitate to call moving a king-size mattress a “two-person job.” There are intellectual problems that are just as unwieldy as trying to move a giant mattress alone — and, as we explore in this Executive Update, pair programming can help.
In response to the growing number of data breach incidents, the data-centric security vendors have introduced new, advanced database threat-protection solutions employing machine leaning (ML) and behavior analysis techniques designed to monitor and protect databases in real time. Although these advanced solutions are a fairly new development, we wanted to gauge the extent to which organizations are adopting them.
In this Executive Update, we explore methods for creating actionable intelligence from time series–based sensor data in order to solve specific business problems.
Speed is the new currency of business; customers are expecting organizations to deliver changes and new products at a faster pace. If you’re not going fast enough, you can guarantee that you will be choking on the fumes of organizations that are. New startups are forcing companies to rethink the way they deliver change, but the delivery of the best designs remains an issue. Whilst you may now have your design plainly articulated around the needs of people and outcomes, there is still the matter of resolving the delivery challenge.
Aspects of planning, implementing, and operating a big data platform affect the traditional enterprise viewpoints of business, technology, information, and infrastructure. Managing the change within one of these viewpoints may be difficult, but due to the technical and business reach of big data technology, ensuring that these changes are cohesive across viewpoints and can be successfully delivered within the organization is even more challenging.
Cloud-native design holds a lot of promise. Despite the effort needed to set up the tools, methods, and organizational practice around this approach, more and more organizations are following the successful implementations proven by Netflix and Amazon. But this is not a purely technology-driven trend. Adjusting all parts of your organization to work in a new way will enable your business to gain agility, which is crucial in a digital world. In this Advisor, I discuss the four most important benefits that come from cloud-native design.
Cognitive computing promises to transform information-intensive industries with its ability to ingest, analyze, and summarize massive data sets and facilitate self-service analytics, intelligent decision support, and smart advisory systems via the application of natural language processing (NLP), machine learning (ML), and intelligent reasoning capabilities.