At AgileCraft, we are driven to expose and enable what’s truly important to running successful programs and release trains. We leverage our extensive experience collaborating with customers as they transform their companies to uncover unique insight into the best way to work, day to day, on programs, release trains and PIs. What we’ve discovered is that program managers and RTEs are the soul of servant-leadership on scaled agile teams. They need to have top-to-bottom transparency and insights into all aspects of their programs and release trains. This can only be accomplished when all the elements of the program and associated data can be intelligently connected through tooling.
Steve Elliot, the AgileCraft CEO, and I recently conducted a webinar on Value Engineering – if you missed it, please take a look here. This practice is new to many, and yet is truly lean way of maximizing your innovation portfolio, products and investments. We had such an incredible response to the webinar, that we decided to jointly publish a white paper which goes into much more detail about how to implement Value Engineering in your organization, along with some real success stories. This white paper can be downloaded for free in the AgileCraft resource library.
At AgileCraft we are very fond of our Pegasus AI, it’s able to leverage big data with machine learning to help sense and adapt to changes at the business level, drive portfolios and power engineering teams.
In my last post, I covered the seven characteristics of what being #WorldsMostAgile means to me. These were inspired by a group of humans that have had or are currently changing the world with their ability to think and act with agility. So without further ado, I’ll introduce you to my dream team roster of #WorldsMostAgile humans, divided into two categories:
The first list includes the immediate movers and shakers who are currently tearing it up out there on the front lines, in the throes of their immediate transformation successes. The second list covers the lifetime achievement awards, for leaders who have changed the world in over the course of their long and influential careers
At AgileCraft we like to have a little fun, and one night, after we were up late building out the new website (I sure hope you like it!), we did a little joshing around about what agile superheroes might be able to do. Could they jump 50 release trains in a single bound? Could they groom a backlog using mind powers? Photoshop, a few beers and some stock photos of millennials with impressive beards got involved, and, well, we ended up with this tongue-in-cheek portfolio of the #WorldsMostAgile humans. And hey – if you can think of any superhuman agile powers, feel free to submit them to add to our collection!
Atlassian recently released a terrific, yet cautionary, article and infographic on strategic ways to prepare for scaling Jira to the enterprise. They shared some pretty mind-boggling statistics on the size and scale of their enterprise-sized customers’ Jira instances. As a Jira fan, my eyebrows raised so high they nearly left my head when I read the statistics around the sheer scale of what enterprises are doing with Jira at the team level:
I’m very pleased to announce that we’ve been included in the Gartner Magic Quadrant for Enterprise Agile Planning Tools as the top visionary offering a comprehensive solution for large-scale organizations aspiring to embrace Agile and DevOps. This is the first time we’ve been included in a Gartner Magic Quadrant, and we are honored that we’ve been chosen for such a prestigious position.
Innovation. Speed. Quality. Value. Today’s tech savvy customers demand these from the companies they support. If your organization can’t deliver on those expectations, consumers are just a single mouse click away from another company that can fill their order in a millisecond. Jeff Bezos, founder and CEO of Amazon, put it this way; “Our customers are loyal to us right up until the second somebody offers them a better service.” When scaling Agile in your transforming organization, you need to be fully confident in the repeatable robustitude* of your delivery pipeline. The principles surrounding DevOps (people, process and technology), play a key role in that journey, and front and center is automation around testing, continuous integration, and continuous delivery.
Now that January is behind us and I have been able to read up on all the latest predictions for digital transformation in 2018, I wanted to highlight some of my favorites that resonated with me and I think they will resonate with you also.
- By the End of 2019, DX Spending Will Reach $1.7 Trillion Worldwide, a 42% Increase from 2017 –IDC Top 10 Worldwide Digital Transformation (DX) Predictions
- By 2019, All Digitally Transformed Organizations Will Generate at Least 45% of Their Revenue from "Future of Commerce" Business Models - IDC Top 10 Worldwide Digital Transformation (DX) Predictions
- 20% of CEOs will fail to act: As a result, those firms will be acquired or begin to perish. –Forrester 2018 Predictions – A Year of Reckoning
- By 2020, five of the top seven digital giants will willfully "self-disrupt" to create their next leadership opportunity. Gartner Top Strategic Predictions for 2018 and Beyond/ Pace Yourself, for Sanity's Sake
- Individuals are increasingly asserting their desire to communicate and collaborate however they want, using their choice of tools. Employees ─ particularly millennials don’t just prefer to use their own devices, they also want to use their own applications. –Dimension Data Top IT Trends for 2018: digital workplaces
- Digital disruptions … show no sign of being reduced in frequency or impact. Instead, those who seek value from technology-based options must move faster as their bimodal IT efforts move into high gear. – Gartner Top Strategic Predictions for 2018 and Beyond/ Pace Yourself, for Sanity's Sake
- Over the next 18 to 24 months, we will likely see CIOs begin reengineering not only their IT shops but, more broadly, their approaches to technology. – Deloitte Insights Tech Trends 2018 - The symphonic enterprise
- By 2020, we expect that the ‘new normal’ operating model will be customer- and context-cantered. That is, companies will change the way they interact with their customers based on the context of the exchange. They will offer a seamless omnichannel experience, through a smart balance of human and machines.- Financial services technology 2020 and beyond: Embracing disruption
- Seventy percent of healthcare companies are looking to digitize their operations in order to facilitate growth. While healthcare organizations see the value of digitalization, just 3 percent have completed digital transformations across their enterprises, while 54 percent of the organizations are testing or piloting digital transformation programs. - SAP Digital Transformation Executive Study: “4 Ways Leaders Set Themselves Apart"
- And one last one from me - 2018 will be the first year AI is truly harnessed in large scale enterprises to optimize software delivery and accelerate digital transformation.