Strategic advice & alerts to leverage data analytics & new technologies
Leverage data and the technologies that generate it, from IoT to AI/machine learning, wearables, blockchain, and more, to improve decision-making, enrich collaboration and enable new services.
Doug Hadden’s article focuses on the opportunities and threats for governments in developing countries and emerging economies. Governments in developed countries exhibit a sophisticated policy design, enabling them to better exploit Industry 4.0, while developing countries and emerging economies, which have lower government effectiveness and less-sophisticated manufacturing, face more obstacles to benefit from Industry 4.0. Hadden discusses the government and country context that must be considered when developing policy interventions to optimize the potential of 4IR while mitigating vulnerability. In this context, the author suggests that policymakers use a VUCA (volatility, uncertainty, complexity, and ambiguity) analysis to determine potential and vulnerability. He then recommends public policy interventions to maximize potential and reduce vulnerability.
Joel Nichols discusses the barriers and challenges facing regulated industries as they attempt to implement Industry 4.0 technologies and change their culture. The article examines the questions that regulated industries must address as they embrace digital transformation and the advances that specific Industry 4.0 technologies can yield. The author argues that although digital transformation may require more time in regulated than in nonregulated industries, “the impact of regulated industry transformation on producers and consumers alike ultimately will be greater than that of the nonregulated sector.”
For most organizations implementing customer experience (CX) management practices, it is still too soon to tell if their practices are living up to expectations.
Financial institutions have digitally transformed their business processes and products, creating vast sources of structured and unstructured data. AI offers the means to complete this transformation in radical ways — across the front, middle, and back offices, while also addressing the big data problem. In addition, AI is also shaping the fintech and regulation (“regtech”) landscapes, particularly in addressing what has become known as “Big Regulation.” However, AI’s promise must be balanced with current limitations to the application of enabling technologies like machine learning (ML) and natural language processing (NLP). This Advisor looks at the promise, potential, and limitations of AI in the financial industry.
The “Recordkeeping for Timely Deposit Insurance Determination” rule from the US Federal Deposit Insurance Corporation (FDIC), or FDIC 370, seems simple but, as we explore in this Executive Update, it presents several challenges for covered institutions (CIs).
The field of robotics has benefited considerably from advances in various artificial intelligence (AI) technologies — most notably deep learning neural networks, computer vision, intelligent guidance and control systems, and voice and speech recognition. The biggest advances are being realized from developments in deep learning algorithms and machine vision technologies, which are allowing the creation of robots featuring advanced autonomous navigation and intelligent object recognition capabilities.
Here in Part II of this Executive Update series on customer experience (CX) management, we look at survey findings covering budgeting trends for CX initiatives and the status of the “chief customer officer” (CCO) in the enterprise.
Although recent advances in computing user interfaces for decision support tools make the tools much easier to learn, understand, and manipulate, some decision makers may be reluctant to adopt and use a new decision support tool. Potential users with greater IT knowledge and expertise often find it easier to learn new systems than those who are infrequent users and hence lack knowledge and expertise. Thus, developers should strive to build a decision support capability that targets potential users, matching the design to user needs, abilities, and skills.