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.
Recently Published
According to a Cutter survey examining the adoption of intelligent process automation (IPA), nearly 60% of organizations identified accelerated document processing as the number one use case for applying IPA in the enterprise. If you think about it, this makes sense because document processing is a huge bottleneck for companies across almost every industry and for most government agencies. This Advisor explores the adoption of IPA including the goals, benefits, industry developments, and major automation vendors who have added intelligent document processing to their platforms
A first step for customer organizations in most digital journeys is an effective CIAM solution that will help connect various applications and systems. As we explore in this Executive Update, delegating administrative activities within your CIAM solution through a tenant approach can allow your digital products to scale.
We have control over whether AI will be a trusted aide to humanity or a threat. But we need a number of convergent approaches to be able to choose the right path. Ultimately, this amounts to AI governance.
There are a number of ways citizen development (CD) adoption can accelerate the intended benefits of IT change programs, streamline business cases and proposals, and deliver real savings. This Advisor explores how citizen development and low-code/no-code can add value, even when considering worst-case scenarios.
In a recent Cutter Consortium survey, we examined findings concerning the major challenges organizations indicate are hindering their efforts to apply IPA. In this Advisor, we take a closer look at the top three of these challenges: IPA is still an emerging technology, issues identifying applicable use cases, and the complexity of IPA development/implementation.
On 12 May 2021, the US White House issued a presidential executive order (EO) on improving the nation’s cybersecurity. The purpose of this Advisor is to point to this EO as a resource that enterprises should study in some depth as well as to use it as a context to highlight ways to think more fundamentally and timelessly about cybersecurity.
In a world increasingly dominated by artificial intelligence (AI) in its various guises, the danger of good data going bad — what we might call “data rot” — is becoming pervasive and dangerous. In this fourth Advisor of my series, I consider a couple of real — and possibly unexpected — ways the rot can set in.
Organizations need to address several issues across four critical steps to make AI work to their best advantage: (1) assess business needs, (2) seek skilled AI people and train staff, (3) identify AI machine learning input data, and (4) choose AI and ML tools. This Executive Update addresses each of the four steps and offers recommendations.