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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In this edition of The Cutter Edge, explore the how the growth of AI technology implemention has also increased our our awareness of its negative, unintended consequences; the six key steps to a design thinking mindset; whether or not CX practices are living up to expectations, and more.
The ultimate success of artificial intelligence (AI) will depend on how well society is prepared for its widespread application. This, of course, raises a slew of social, economic, legal, privacy, and ethical issues and challenges that must be seriously studied and addressed.
Sustainability means bringing new functionality to the market while keeping your underlying software assets healthy and nimble. To achieve such balance requires a form of data-driven design and decision making that balances commercial and technical considerations. In this Advisor, we review what is needed in terms of data, design, and decisions.
Cognitive computing provides the underlying “engine” that, when coupled with the business knowledgebase, serves as the technology enabler behind the evolution of the cognitive enterprise.
When an organization decides to structure the teams that look after its digital products and platforms into feature teams, the technology stack must closely follow that structure. Most organizations, however, do not structure their technology stacks in this way, and the challenges that we observe today when trying to make changes at speed are usually attributable to that misalignment.
In this Advisor, we introduce the potential ethical issues in Industry 4.0 and look at these from two aspects: (1) ethical issues related to data and (2) ethical issues related to systems, technology products, and services.
The most sought-after technologies that surveyed organizations are interested in adopting to support their CX initiatives are customer analytics and customer behavioral modeling. Our research also finds considerable interest from responding organizations in using personalization to target content and promotions by audience.
The cognitive enterprise offers a business-driven vision for organizations where technology is merely a means to an end. This Advisor explores some common scenarios that manifest within a cognitive enterprise.