The combination of a blockchain data structure and a set of consensus rules allows something magical to happen: stateless, bankless, digital money (aka cryptocurrency). More precisely, what is loosely described as a cryptocurrency is a fungible “token” that is “native” to a blockchain. The major native tokens can be exchanged for the government-backed fiat currencies we are more used to, but smart contracts can create and maintain special-purpose tokens.

In the webinar, “Envisioning the Organization of the Future: The Cognitive Enterprise,” Cutter Consortium Fellow William Ulrich described the formalisms that underpin the cognitive enterprise vision, the benefits to be accrued under that vision, and the steps your organization can take to begin its journey toward a cognitive enterprise vision while achieving incremental value at each step along the way. This Advisor shares with you some of the questions Bill fielded at the end of the webinar and his responses.  

Transformer-based natural language processing (NLP) models have serious implications for the entire field of NLP — from speech recognition systems to natural language generation (NLG), natural language understanding (NLU), machine translation, and text analysis applications. Consequently, tools for developing transformer-based models have become popular among researchers and developers implementing NLP applications.

To increase the chance for blockchain/distributed ledger technology (DLT) to gain traction and for improved market awareness and adoption of the technology, what should the reference model of the regulatory sandbox dedi­cated for blockchain/DLT technology look like?

To create an organization that can effectively respond to heightened customer centricity and product customization, you need effective and coordinated product development teams. To respond to customer needs quickly, teams need to be autonomous, empowered, self-organizing, and cross-functional. They must take high-level direction from management and then, through intense collaboration, complete work more quickly than their predecessors. In this Advisor, we share our thoughts on putting up guardrails for your teams.

Digital architecture involves internal stakeholders shifting paradigms from thinking of solutions from within to fully incorporating external stakeholders (customers) in the solution design process. Different organizations leverage various approaches to achieve this paradigm shift, but one of the main drivers of digital architecture is customer centricity. This Advisor highlights this driver as well as some of the other most critical ones.

This issue of Cutter Business Technology Journal (CBTJ) continues the conversation we began in our last CBTJ and focuses on blockchain technology adoption beyond cryptocurrencies and financial services. The authors explore areas such as energy and utilities and government and present real examples of successful DLT implementations. They share their practical experiences in overcoming and addressing some of the known issues with blockchain projects.

In the era of open source projects, which enable deep analysis of code, it is doubtful that we can maintain privacy through the ages. Publicly accessible code facilitates consistent improvements and debugging through the regular scrutiny of accessible data. At the same time, it also increases the possibility of finalizing an attack on the network, causing losses and a reduction in trust. As a result, several companies now focus on analyzing blockchains.

Digital competitors have raised the bar and are forcing incumbents from virtually every industry into huge transformation programs. To win this race for digitalization, incumbents are investing vast amounts of resources into multi-year programs that require them to change the engine with the train still rolling. This requires executive teams to manage many challenges and produce multiple results that are either different than expected or diluted.

How should project teams corral the natural but emotional forces exerting pressure on project decision making and processes?

Mike Rosen’s webinar “Architecture for Digital Business” explored how to support your business transformation by taking an architectural approach to strategy. Here are four questions we asked Mike at the end of the webinar that you may also be considering.

Transformation of a company and managing through change are inherently difficult. The inclusion of a digital component in this transformation effort makes the work that much more challenging, even for the sharpest and most visionary of executives. Companies undertaking digital transformation, in our opinion and based on our experience, face four major challenges that we believe design thinking tools can help overcome. In this Advisor, we explore two of these challenges and explain how design thinking can provide solutions.

Organizations should view customer analytics as a way to help align the enterprise and make it function from the same set of metrics to provide the much-talked-about but often difficult-to-achieve “single view” of the customer. This view serves as the basis for making decisions about how best to interact with your customers; in effect driving all aspects of the customer lifecycle — from acquisition, retention, and growth to maintaining loyalty and measuring ROI across the organization.

AI strategy, at its core, must address vital questions, such as the following: How can AI deliver better value to customers? How can it help companies increase revenues, enhance efficiency, and reduce human errors? How can AI capabilities be integrated into the existing organizational processes to develop a distinct competitive advantage? To address those questions, AI strategy must closely align with a company’s business objectives, ensuring synergy between the corporate strategy and the AI strategy.

In a recent on-demand webinar, “Using AI to Improve Agile Teams,” Cutter Consortium Senior Consultant Jon Ward described a team that was able to cut time-to-market in half and reduce the cost to deliver by 60% by using Agile with artificial intelligence (AI). He addressed how AI could be used to further enhance a team’s productivity, where AI might inhibit it, and outlined where AI can be used to improve your productivity. This Advisor shares some of the questions Jon responded to at the end of the webinar, which you may also be considering.

How does an architect see things that may be dark otherwise? There are many examples where seeing things differently make things different, sometimes with extraordinary, decades-long impact.

This issue of CBTJ will help you understand that a data architecture should be much more than merely a technology roadmap. To be of any value to people in an organization, the architecture should guide the people in an organization to an understanding of how to organize for ever-changing information requirements.

The data scientist role is perhaps the most important of all roles in the adoption of big data–based decision making.

Clearly, blockchain will have an impact on technology and the ways we conduct business and how governments and not-for-profits provide services. But until we alleviate several clear barriers, progress will be slow. We discuss a handful of those barriers in this Advisor, including lack of interoperability, lack of mature toolsets, and lack of qualified personnel.

In this Advisor, we consider the four types of blockchain and explore some financial services where blockchain can be used effectively to enhance customer experience and increase the efficiency of those services.

Architecture should play a key role in creating the strategy for a digital business. But strategy alone is not enough, so architecture must go deeper by focusing on three pillars: (1) accelerated change, (2) decentralized decisions, and (3) public self-governance.

According to a recent Cutter Consortium survey, approximately a quarter of organizations are looking into using smartbots and intelligent assistants for their customer experience initiatives. Intelligent agents and smartbots enable customers to conduct common interactions in a conversational manner via speech and natural language speech or text-powered interfaces.

Robotics has benefited considerably over the past two years from advances in AI, with the biggest stemming from developments around deep learning neural net architectures and machine vision systems. Consequently, today we are seeing robots employing advanced autonomous navigation and intelligent object recognition capabilities — including image-sensing functions utilizing advanced pattern matching, shape detection, and face-tracking and analysis.

When using Agile methods, the integration and testing effort is performed continuously since capability is built up and delivered in short iterations. In order to implement continuous integration and testing concepts, consider the seven Agile approaches examined in this Advisor.

Working with blockchain over the past few years has made me realize the broad possibilities of distributed networks. Certainly, one could say that blockchain is “just” a distributed database; however, emerging adoption reinforces the potential underneath. There are myriad ways to adopt this technology, including in transferring funds, managing supply chains, handling tax evasion, and performing targeted analyses of data already recorded on the blockchain.