Jeff Bezos sent this incendiary memo to his entire team at Amazon way back in 2002. This edict to Amazon employees signaled a monumental shift. A similar message should be sent to employees at ALL our companies now. As companies in every industry have rapidly expanded, we've entrenched our siloed systems and created quick-fixes that have resulted in fragmented data and processes. The data debt, cultural debt, and operations debt from years of acquisitions and unfettered growth have left a mountain of inefficiencies in the wake of our success. Most of us kicked the can down the road on building the streamlined operating model to scale. We didn't pay the price for our procrastination right away. But now the promise of insights through AI demands integration. The time is now to build the structure in preparation for the new age. Now is the final opportunity to curate and standardize data as inputs into the AI algorithms before the game-changing technology is upon us. If you do that, you'll be one of the few companies truly ready to turn data into Insights. The rest will serve as cautionary tales as we enter the most disruptive chapter in our professional lives. #TheNextLevel #StayTuned
This directive leadership reminds me of the playground study: the fenced in playground provides a boundary where the children felt more comfortable exploring to the edges of the boundary vs. the kids on a playground without a fence who stayed closer to the teacher. Boundaries and directives give us freedom to explore in productive ways, and it’s been extremely fun (and productive) exploring how the new AI playground can augment and improve the way we all work together!
This is so well timed, Joel "Thor" Neeb . The data, cultural and operations debt in enterprises is a serious impediment to business agility. The Jeff Bezos memo was foundational for modern API paradigm and cloud native micro services architecture. This still holds good in the context of Responsible AI. AI at enterprise scale relies on vast amounts of data across organizational and external sources as well as intricate connections between foundational models and business specific features. Visionary leadership guardrails that mandate all data and features be exposed via well defined services is the path towards transparency, collaboration and interoperability. #EnterpriseAI #ResponsibleAI
This is on point. Silos with competing goals a priorities create dysfunctional teams. "Work arounds", lack of standardization and governance exacerbate operational gaps, creates waste, and ultimately derails agility and time to value.
What's the source for this?
You don’t see this type of leadership too often, but it’s needed today more then ever
Service-Oriented Architecture (SOA) for the win! Yeah BOYYY! This was my bread and butter for a decade, built up ZapThink LLC on that before it was acquired by Dovel Technologies. Amazon was slightly ahead of their time and Jeff B. was right!
Great example of visionary leadership. In hindsight, while Jeff's directive was harsh, it was a huge enabler for the AWS cloud business. Clearly it was also a reaction to what had come before and a firm statement of policy needed to be issued.
This is great, but how many CEOs out there sent nonsensical edicts out that cratered their company? And how would they look different to an observer?
I was JUST referring to this example the other day. 👏🏼👏🏼
Visionary Architect of Technology Ecosystems and Alliances
4moJoel "Thor" Neeb you are spot on! The quick win mindset has created tribes; and beneath that, a cornacopia of enterprise platforms that get kludged together which themselves deploy competing lock in strategies that reinforce siloed and inoperablility. Think about this through the lens of Conway’s Law - business operations reflect the underlying info systems and solution/service architecture. Today, we see BOTH siloed systems and operations. It’s a validation of Conways Law, albeit a frightening one. Too much emphasis is put on quick wins and “agile”. Roadmaps and strategic planning seldom go past what’s directly in front of you. This prohibits everyone moving in the same direction and raises anxiety and uncertainty. This creates authoritarian and patriarchal company culture. This isn’t unlike the 1930-50s. Then IBM and lots of new policy ushered in compatible systems; standards and federated ops models driving the commoditization of computing. Better days ahead. But we have to agree short sightedness, greed and “easy” are not sustainable.