In this on-demand webinar, Cutter Consortium Senior Consultant Jon Ward, describes how an Agile team was able to cut time-to-market in half and reduce the cost to deliver by 60%. He addresses how AI could have been used to even further enhance the team's productivity, where AI might inhibit it, and he outlines where AI can be used to improve your productivity.

We believe existing organizational development approaches are not far-reaching or holistic enough when it comes to the scope of the issues they address. Most methods either focus on strengthening the scale/productivity dimension (often within the context of Lean models) or push the speed/creativity dimension (commonly referred to as the Agile model). However, choosing either the Lean or the Agile path does not provide the right mindset and tools to address the complexity and competitive challenges of most large organizations. Moreover, those frameworks that are ambidextrous are not operationally focused enough to enable day-to-day management and lack a link between strategy definition and organizational development. From our experience, these missing qualities are essential to making well-informed business decisions.

In this Executive Update, we look at a purpose-driven approach to innovation that large global companies can successfully apply.

We are increasingly hearing about the rise of the “Chief Customer Officer” (CCO), who has the position and the authority to ensure that the organization provides a unified and seamless customer journey/experience (CX) across all customer channels. But just how standard is the role of the CCO among organizations? According to preliminary findings from our ongoing CX management survey, current use of CCOs — or someone with an equivalent title formally charged with overseeing the adoption of CX practices into the organization — is relatively popular, with approximately 27% of the organizations we have surveyed indicating that they have made such an appointment.

In this webinar, you'll discover why your organization should use a business architecture and value delivery–based approach to digital strategy. And you'll learn why provisioning the platform based on next-generation application, information, security, and technology architectures is critical.

From the moment a work crew from STS Construction (STS) showed up at my house until the whole project was finished almost a year later, I witnessed and participated in some of the best Scrum I have seen. Even though STS had never heard of Scrum and would not have known what the term meant, the company had come up with a way of working that was Scrum. Not only was I impressed by the tactical scrum onsite, but when I learned how STS did its project management and scheduling, I was equally impressed by its strategic scrum working habits. This Executive Update discusses the primary Scrum patterns and practices I saw in STS’s work that helped make our home remodel a success. (Not a client? For a limited time, you can download your complimentary copy here.)

Synthetic data provides a privacy protective mechanism to broadly use and share data for secondary purposes. Using and sharing data for secondary purposes can facilitate innovative big data initiatives and partnerships to develop novel analytics solutions. This Executive Update provides an overview of the use cases for synthetic data, how to generate synthetic data, and some legal considerations associated with synthetic data’s use.

Nowadays, companies are struggling to deal with a more and more sophisticated customer. Online and offline touchpoints are generally unbound, failing to create the unique and continuous journey customers expect. Companies must embrace a new approach in order to give strategic relevance and a clear purpose to the digital marketing practice. As described in this Advisor, this approach is based on seven major activities grouped into three areas, which recur iteratively to achieve progressively more accuracy and commercial success.

Artificial Intelligence (AI) — is it hype, a new industrial dawn, or simply a means to increase leisure time? We are putting AI into nearly everything, including our refrigerators and other domestic appliances. So what about Agile teams — how should they use it? AI in project management tools is not new; indeed it has been a decade since global enterprise software company Planview introduced the optimization engine for capacity and demand. However, it is only now that this AI feature is becoming more widely used. This Advisor explores how organizations can use AI to increase the performance of Agile teams by supporting the product owner.

We are entering an era that will demand unheralded levels of creativity because companies will need to constantly innovate and reinvent themselves to succeed in their search for growth and margins. Some leading companies are rising to the occasion by launching time-limited ideation challenges for key strategic issues and then instituting a dedicated process to enrich and select winning ideas. To sup­port this initiative, senior leaders must devote a significant amount of time to ideation and be fully involved from start to finish in the ideation process. Innovation leaders must also prevent excessive “infant mortality” of radical ideas and ringfence resources to maintain a balanced R&D portfolio. 

Robotic process automation (RPA) has emerged as a popular technique to automate routine and repetitive human-system interactions across functional domains such as finance, marketing, human resources (HR), and other transaction-processing areas. Adopting such intelligent automation techniques allows businesses to enable efficiencies without major system transformations. Business leaders may find it compelling to invest in RPA tools and resources but should be aware of the foundational work required before rolling out the initial robots. This Advisor explores some of challenges facing organizations looking to adopt RPA.

In my years of implementing SPM across different teams and organizations, the notion of an object can be distressing. Unlike its sibling hierarchy, phases, the object concept is not well understood or even implemented much of anywhere in other project methodologies, setting aside enterprise architecture methodologies, which often model objects more extensively. IT people accept the idea of a project phase without question. When confronted with the notion of an object, however, the apparent simplicity of the definition of an object transitions quickly to difficulty upon further probing. 

We can characterize the fourth stage of automation, smart automation, by intelligence embedded across customer channels (stores, call centers, websites, etc.), processes, systems, and platforms. Smart automation builds on the previous stages and uses intelligent means to bring automation to all aspects of a business value chain, from customer experience (CX), worker experience, internal processes, and operations to partner collaboration, covering all types of systems. As we explore in this Advisor, however, it is important that smart automation design carefully consider the subtle interplay between humans and machines to understand the nuances of those activities humans are good at and those for which machines are efficient and reliable.

In this Executive Update, we take a closer look at the design thinking method and delve into the actual design framework that companies are adopting to advance their ability to digitally transform. We explore the principles of inspiration, ideation, and implementation, along with the benefits of a design mindset. We also break down some myths that have plagued design thinking in the past. 

Almost every organization has some room for grassroots Agile initiatives; projects for which no mandatory process has been defined or organizational units where managers are less interested in how their teams work than in whether they deliver expected results. Launching an experiment with an Agile delivery process is therefore relatively simple. It takes a project, a team motivated to try (or demonstrate) how an Agile approach works, and a project sponsor willing either to play the role of product owner or to appoint one. Such a project does not really challenge the status quo; its results are uncertain, so even naysayers tolerate it. In this Advisor, we share some of the challenges of taking such an initiative.

In light of the changing landscape of cyberattacks, it is critical that organizations change the way they address cybersecurity. Relying only on traditional methods of blocking attacks with firewalls, antivirus software, and passwords will be a mistake. Organizations instead need to implement cybersecurity measures that are capable of handling the new breed of cyberattacks. This is where artificial intelligence (AI) comes into play. AI-based cybersecurity solutions use machine learning (ML) techniques, which are a subset of AI. In this Advisor, we explore two broad categories of ML algorithms: supervised learning and unsupervised learning.

Innovation at its core relies on focused creative thinking, which allows organizations to respond successfully to situations that do not have easy answers or readily apparent solutions and drive results in a collaborative emergence of novelty and marketable value. This focus originates within teams staffed and equipped to apply their collective creativity and experience to business challenges, which fosters the opportunity to make enhanced real-time decisions that benefit both the enterprise and its stakeholders. As we explore in this Executive Update, it is the creative collaboration of organizational teams, in concert with end-user sentiment, that drives the most effective innovation.

With so many variants of the core components of the blockchain definition — like validation, distribution, opportunities, and challenges — it becomes clear that exec­utives may need a matrix or rubric to decide if/how to adopt blockchain based on industry and objectives. Even if your company is not considering automating processes via blockchain, your competitors may be doing so, and government entities may even force your hand. Therefore, it is important to start the internal discussion now. In this Advisor, we’ve shared some questions to help your organization quickly engage in deep discussions.

Industry proponents have been pushing the idea that artificial intelligence (AI) is set to have a major impact on customer experience (CX) practices. But how do end-user organizations feel about AI’s potential for facilitating CX? After all, they are the ones who will or will not utilize the technology. In this Advisor, we share some initial results from our ongoing CX management survey offer some insight into organizations’ attitudes toward AI’s potential impact on CX practices.

In the post-Agile world, the Agile mindset is so natural that people don’t even need to reference it anymore; they look at the larger picture. Where should we be directing our energy, and will we get there? In the fifth piece, Gabrielle Benefield and Kubair Shirazee tell the story of using the Mobius framework, with its double-loop learning and ultra-rapid feedback, to help small business owners in Pakistan and perhaps stop the spread of radicalization and extremism.

In her article, Andi Graham describes how those at her digital marketing agency started working actively with clients, co-planning and co-designing with them. These new behaviors required her staff to expose their doubts and uncertainties to clients. Resistant at first, employees saw the difference in speed and quality of feedback, improved client relations, and higher efficiency. This story shows Agile adoption through small steps with wide-ranging effects.

One of the most exciting ideas percolating through the Agile community is “solutions-focused” thinking, advancing through micro changes. In the next piece, Géry Derbier and Soledad Pinter tell stories of using solutions-focused thinking over several years, in the large — across an organization — and in the small — at the single-person and single-team level.

The Agile Manifesto and its obvious extensions don’t address issues needed at the organizational level. In their article, Jutta Eckstein and John Buck augment Agile with Beyond Budgeting, Open Space, and Sociocracy, something they call “BOSSA nova,” and link those with strategy, structure, and process to cover key organizational issues.

Andy Hunt and Alistair Cockburn were part of the group that wrote the Agile Manifesto, and Joshua Kerievsky was practicing Industrial XP at the time. We, as foundational members of the Agile movement, are among those who feel that Agile has become overly complicated over the years, and we are now working to simplify things; to make sure the core ideas work in all fields, not just software. As we describe in the first article of the issue, it is time to reboot Agile.

We are now in the “post-Agile” age. This issue of CBTJ covers some of the cutting-edge ideas emerging from the Agile community, including Heart of Agile, Modern Agile, the GROWS Method™, BOSSA nova, solutions-focused thinking, and goes further with stories of politics in Zimbabwe, entrepreneurship in Pakistan, and running “agile classrooms” in several countries.