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.
It’s not always clear where to begin on analytics projects. This Advisor provides some guidelines on how your business can get started.
Cutter Consortium is conducting a series of surveys on how organizations are adopting, or planning to adopt, artificial intelligence (AI) technologies. We also seek to identify important issues and other considerations they are encountering or foresee encountering in their efforts. Here in Part III, we look at survey findings concerning the benefits and goals organizations hope to achieve with their AI initiatives.
This Update highlights the role of the cloud in big data strategies. In particular, it builds on the characteristics of the cloud and how big data analytics can utilize them.
According to our research, the biggest obstacle to enterprise artificial intelligence (AI) adoption is a lack of available experts skilled in AI development. So how are organizations meeting or planning to meet their AI implementation needs? Results from our ongoing survey examining the adoption and application of AI technology in the enterprise — based on the initial responses from 107 participating organizations worldwide — helps to somewhat clarify this question.
A new breakthrough discovery — the Wallet Allocation Rule — is solving the CX metric and ROI problem and opening the door to strategic advances that elevate the role of CX for leading companies by changing the way we track metrics, understand key driver analyses, define marketplace differentiation, and develop strategies to win share of wallet.
Merchant mobile payment applications represent a first step toward frictionless commerce but achieving this initial milestone has been challenging in the US.
As you read through the articles in this month’s issue, we invite you to consider the customer experience that your organization provides and what lessons our authors offer for improving CX and making it great.
Data-driven decision management is an approach to managing business that focuses on decision making that can be backed up with verifiable data.