Post 1: The Cognitive Enterprise

The business world has a way of coming up with catchy terms which are, in the best case, thought provoking. The idea of the ‘Cognitive Enterprise’ is one such idea that is taking hold: and the genesis is becomes quite apparent, once you start thinking about it. It starts with the basic axiom of a competitive marketplace: Every enterprise today is living in a world of continuously increasing Complexity – from within (e.g. structural changes in the workforce as Millennials have started growing into middle management roles) and without (e.g. disruptive technologies and business models). Every Fortune 500 executive worth her salt is trying to figure out how not just to manage this complexity; but hoping to capitalize on this complexity.

And it turns out that we don’t have to look too far for inspiration: the human race, as a species, is probably the best example of how to thrive in Complexity. From being one of the millions of species on the planet, we have managed to utterly dominate the planet in an astonishingly short span of time. As a species, we have crossed the line in many areas (think global warming, wiping out species etc.) but it stands to reason that we have achieved something that has made us a tremendously successful species.

So, how has the human species achieved this and what can we learn from this? If I were to pick the main factors (the power of 3!), these would be:
1.     The ability to respond to Environmental changes. And not just in the slow reactive evolutionary cycle (which every species does), but in a more active, problem-solving sense. We have, more than any other species, a highly sophisticated “system” for responding to change (more on this later).
2.     The ability to not just learn from experiences and more importantly, share them rapidly across the species. Our ability to build this species level ‘institutional learning repository’ by sharing them through the medium of a language and storing them for future retrieval is uniquely human.
3.     The ability to imagine a future, create “stories” and then rally large groups of people around the shared goal to execute and make the future real is also uniquely human. No other species has come remotely close to us. No one has captured this better than Yuval Harari in ‘Sapiens’

So, what lessons can an enterprise draw from these to become more ‘Cognitive’ and thus, give itself a shot at breaking out from the pack, much like the human species? I will continue to discuss specific ideas of these as we go along – here’s a start:
1.     Organization as a Signal Processing and Response System: Companies need to invest in getting better at making observations: both in terms of precision (e.g. track every SKU as it traverses through the supply chain) and speed (e.g. bring down the latency between taking inventory positions). And then use that information to react faster (e.g. trigger a replenishment up the supply chain all the way to reduce stock-outs)
2.     Organization as a Learning System: Companies need to build the capability to continuously learn from signals to effect both policy and execution changes. E.g. Instead of being saddled with static safety stock policies, adaptive supply chains need to be learn constantly from changing demand patterns by building trigger mechanisms that would seek to improve the safety stock algorithms. The ever-decreasing cost of computing has made this possible like never before.
3.     Organization as an Anticipatory System: Companies are constantly facing choices – from tactical, daily execution challenges to strategic decisions that drive capital allocation. Success is obviously making more correct than incorrect ones – instead of relying solely on past experience, decision makers need to be able to develop models to explore what-if scenarios and develop a ‘choice portfolio’ with the potential outcomes and risks for each choice. Once again, powerful computing resources are available to build highly complex system-level models to explore multiple scenarios, even more so when it comes to expensive capital allocations.

So, how are companies doing on their way to becoming more cognitive? Obviously, the answer varies by individual function, the company culture and the industry context and so on. In my experience, an average Fortune 500 scores reasonably well in #1, thanks to years of CIO driven technology investments. Progress on #2 is getting a lot of attention, especially in more analytically mature organizations. When it comes to #3, the record has been less than stellar – very few have fully observed the power of Simulation and what-if scenario modeling. More on this later.



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