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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Digital transformation needs a robust platform that binds the systems of records and integration with the systems of innovation. This digital platform that sits at the cusp of integration and innovation provides the ability to bind the core processes with the new digital processes in order to allow building of new channel applications.

With the rush to new digital platforms, technology leaders often underestimate the value of continuous improvement. Many see it as a waste to invest in “fixing the old,” as it would leave fewer resources to develop “the new.” DevOps practices and cloud platforms can catapult enterprise technology forward, improving consumer responsiveness, time to market, throughput, and resilience, but they depend on continuous improvement to become internalized and self-sustaining.

Organizations are starting to use blockchain to develop a new breed of transactional business applications designed to embed trust, transparency, efficiency, and accountability into the process of sharing and transferring a broad range of assets in a business network. These business blockchains are not limited to currencies. Assets ranging from equipment, shipping containers, and warranties to healthcare records and data related to supply chains can now be shared, exchanged, or transferred via blockchain networks more efficiently, and with greater collaboration and less risk to shareholders, than is practical using traditional centralized approaches.

To ensure that the focus of any analysis of technical debt includes the real causes of technical debt, we must define it in terms that are unbiased relative to cause. One approach that meets this constraint is a definition not in terms of cause, but in terms of consequence. 

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. Here in Part III of this Executive Update series, we examine survey findings pertaining to the specific issues and concerns involving the protection of data maintained in big data platforms and applications.

Attempting more demanding endeavors requires innovative methods for delivering, guiding, and managing projects. Meanwhile, the rise in complexity and uncertainty demands new ways of thinking about projects.

CIOs and their teams are now tasked with enabling digital strategies, and many of the user stories target tangible benefits for customers and the organization.

Digital ecosystems are formed by a network of businesses linked together through a collective goal. Success in the financial services sector will increasingly be determined by which ecosystem you choose to participate in and how these ecosystems will compete against each other.