Strategic advice to leverage new technologies

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.

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.

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.

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.

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.