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 Consortium survey examining IPA adoption in the enterprise, organizations rank retail as the sixth leading industry in which IPA will have its most significant impact. Retailers are applying robotic process automation (RPA) and other process automation tools bolstered with machine learning (ML), predictive analytics, and computer vision to a number of applications and domains. This Advisor explores how these tools help make their supply chains more flexible, revitalize the retail shopping experience, and boost customer satisfaction in both online and in-store scenarios.
This edition of The Cutter Edge identifies the nine lessons embodied by Steve Jobs that helped him create a lasting legacy, considers why the IT industry continues to perpetuate the spread of disinformation, and more!
As we give in to our “very powerful tendency to anthropomorphize ML and AI, imbuing it with human characteristics,” we set our ML projects up for failure. This Advisor explores the importance of deciding on the question you are trying to answer before you embark on an ML analytics project.
As we explore in this Executive Update, the responsibility for alignment between corporate strategy and business unit innovation and R&D frequently lands with the CTO, who needs the right processes and tools to achieve this. Making the right choice of tools is key to ensuring optimal balance between sector-level autonomy and group-level alignment.
Cutter Consortium recently conducted a survey to see how organizations are adopting, or planning to adopt, intelligent process automation (IPA). According to survey respondents, IPA will have the most significant impact on banking and financial services (see Figure 1). In this Advisor, we take a closer look at two areas of IPA application in that industry: customer experience (CX) and compliance and financial crimes prevention.
Artificial intelligence (AI) and machine learning (ML) are driving change on both ends of the business-technology continuum. This Advisor explores why companies should accelerate their piloting of AI/ML, deploying internal teams to assess its potential while giving special attention to the range of methods, tools, and platforms /application domains.
Nearly all software projects are premised on understanding user needs and requirements. In our experience with clients, we typically address this phase by working with prospective users to develop use cases. What are some common use cases? Well, it depends on the company, but we’ve seen use cases primarily fall into four categories for early-stage, toe-in-the-water AI compared to full-scale ML efforts:
-
Market and consumer intelligence
-
Sales and marketing
-
Pricing and optimization
-
Customer care
The professional life of architects is tough, often dealing with tasks typically not performed in everyday non-IT life. They always must support a “future state,” a situation not yet in existence that users or stakeholders can’t predict if not stressed with the proper questions. This Advisor explores how architects look “beyond the hill” and impose superstructures and patterns that may appear unnecessary today but are useful when things ultimately change.