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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Today, big data platform providers and third-party security vendors offer enterprise-grade security solutions designed specifically for protecting and securing data maintained in Hadoop and other big data environments.
To gain insight into the various trends and issues impacting enterprise data security and protection practices, and the extent to which organizations employ data-centric security practices and technologies, Cutter Consortium surveyed 50 organizations worldwide. This Executive Update examines problems and considerations surrounding the protection of sensitive data in Internet of Things (IoT) devices, platforms, and applications.
The impact that providing a capability catalog and roadmap for the portfolio would have on Agile leaders is significant. Linking this portfolio catalog and roadmap to other efforts and capabilities across the enterprise ensures that there is continued alignment to the enterprise’s strategic direction and that teams are not recreating redundant capabilities but rather leveraging and reusing current capabilities in new, innovative ways.
Because of its capabilities in security, privacy, and data management, blockchain has captured the interest and resources of the financial industry as well as numerous other major sectors — from music to healthcare and even governments — around the globe.
In a recent Cutter Webinar, “Cognitive Digital Transformation: The Next Wave,” Cutter Senior Consultant Paul Harmon considered the growing role of artificial intelligence (AI) and cognitive technologies in all aspects of business. He argued that cognitive technologies will simply extend the ongoing digital transformation of today’s enterprises, requiring them to reconsider their business models and understand fully why they will need to incorporate intelligent elements to remain competitive. Paul’s webinar concluded with a lively Q&A session. In this Executive Update, we highlight some of his thoughtful responses.
Digital transformation is a journey of creating and combining specific business capabilities so that they give organizations a competitive advantage in the digital excellence domains in a way that reflects their chosen mix of strategic options. This journey is shaped also by the availability of critical resources — data, analytical skills, technology proficiency. It is very often seriously affected by the state of business and IT architecture, the style of integration, and data quality. It seems wise to focus on domains of excellence where the resources are available or can be relatively easily developed or acquired.
Data-centric protection and security focuses on the organization's sensitive data as opposed to its overall computer networks and applications, as is the case with the more traditional IT security models that typically operate by implementing a well-defended security perimeter designed to keep bad actors out. This is accomplished by locating, identifying, and cataloging sensitive data as well as by applying encryption, data masking, and policy-based data access controls (and end-user monitoring) to protect data residing across multiple enterprise environments. But to what extent are organizations adopting, or planning to adopt, data-centric protection and security practices?
In today’s global socioeconomic landscape, with its multitude of varied and disruptive technological innovations, business organizations are forced to quickly respond and evolve. Continuous business transformation is the new normal. Business executives are expected to make informed and leading decisions against a dynamic business transformation baseline. In such an environment, quantifying the business operation’s effectiveness is a challenge and becomes particularly important when many critical operational decisions demand hard evidence. This is where the doctrine of information superiority comes into play.