A Single Leader

In the past few years, I’ve been aware of two different organizations that have been greatly impaired by failures of a single person. In the first case, a trusted leader failed to properly do their job and accomplish their responsibilities and the organization nearly sank as a result. I don’t know what that person was thinking. In the second case, one arrogant leader who thought he knew everything and didn’t need any advice from anyone else made poor decisions, spoke authoritatively of things he knew little about and left key resources to neglect.

Great processes and lots of good people, can be overwhelmed by a single bad leader in the wrong place.

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Exaptation

Steven Johnson in his book Where Good Ideas Come From: The Natural History of Innovation used the word exaptation to describe new uses for existing solutions. The word has a biological background and use, but it can be applied to anything. I’ve written about this book before on a post about being cross disciplinary and spreading good ideas.

David King has started a new company called Exaptive which is doing work with a tool and methods designed from the ground up to facilitate leveraging ideas, methods, solutions and data across different disciplinary areas. Very interesting. You can follow their blog here.

Learning to Drive

I missed this thought.

Tesla is rebooting their autonomous driving vehicles and re-teaching them how to drive. Wired has this great article about the changes.

They’ve rolled out a new architecture which uses a very different sensor strategy,” says Tim Dawkins, an autonomous car specialist at automotive tech research company, SBD. “They needed to spend a little time building up their base data before they were able to release the same level of functionally as they had with hardware version 1.0.”

The first iteration of Autopilot relied on a single camera made by Israeli supplier Mobileye. The new setup uses eight cameras, dotted all around the car, feeding an in-house Tesla Vision system. The 12 ultrasonic sensors have been upgraded, the radar is improved. A new on-board Nvidia computer is 40 times more powerful than its predecessor, and runs the necessary artificial intelligence software.

and here is the money quote:

Where a conventional automaker might do that training with qualified drivers in controlled environments, or on private tracks, Tesla used its customers. It pushed fresh software to 1,000 cars on December 31, then to everybody in early January. That code ran in what Tesla calls Shadow Mode, collecting data and comparing the human driver’s actions to what the computer would have done. That fleet learning is Tesla’s advantage when it comes to educating and updating its AI computers.

“This is the uniquely Tesla approach, in the way that they have their consumers build up that rich data set, from which they can train up their AI,” says Dawkins.

Of course. Why didn’t I think of that. I mean, I didn’t have to go do it, but just consider the idea. The car is full of sensors and why not let the car shadow read drivers for a season and learn how real drivers deal with real situations that appear on the road?

Better than rules based. Learn from those who already know how to drive.

You need cars with the sensors. You need a connected car back to Tesla/cloud. And you need lots of drivers driving through all different conditions. Rain, snow, fog, fast, slow, city, suburb, rural, interstate, toll roads, bridges, tunnels, parking garages, etc.

Brillant.

Financial Understanding

In 2013 I wrote a series of posts about what to do as new CIO. My thinking continues to evolve on this topic, but I’ve come to rethink the need to understand the financial model for IT in your organization and to put greater urgency on that understanding.

In an enterprise, an IT organization and associated investments are made to facilitate the operations of the enterprise and to protect the enterprise. We don’t make investments just because they are fun or just because we want to do them. There is a driving force behind these investments.  Those forces are things like: operational improvements (reduce waste, speed, reduced friction, etc.), financial control, collaboration improvement, security, etc.  The benefits of these investments are mostly outside of IT. Yes, some investments benefit IT, but most of what we do benefits other organizations. Saying it differently, the costs might reside in IT but the benefits reside elsewhere.

That is the central problem/opportunity to understand. How does your organization account for this fact of life? This simply must be understood by all parties and it must be clearly highlighted to all parties and that takes a lot of help from Finance. This is probably one of my biggest failures. I should have done more in this area.

Projects in IT can save tens of millions of dollars in operations or across the supply chain yet cost millions in IT to make that happen.

M&A activity are particularly dangerous to IT in that unless the costs of integration are budgeted and called out and planned for as part of the go/nogo decision on the acquisition, IT can appear to spending a lot of money to integrate that that is not really an IT cost, it is an acquisition cost. I read a while back that the two biggest risks in M&A efforts is merging cultures and IT complexity/integration risks. A company board might decide to spend $600M on an acquisition but that decision should upfront account for the cost to integrate the companies together.

IT spend is a cost to do business. Probably, the best answer to this problem is to work out a clearly understood, above board way to charge costs back to business units that are driving the investments. That chargeback would include the startup costs for sure, but also might include the sustaining costs to run or support the capabilities. In any case, the costs need to be clearly visible and either chargeback or shown back to the business and across the business. Tools like Apptio might greatly help in these conversations too.

 

 

Not Average

I recently completed reading The End of Average: How We Succeed in a World That Values Sameness by Rose. And yesterday I read a related article called “What Are You Hiding?” which goes along the same lines. The book is outstanding and makes a great case for you can’t compare yourself against averages in many cases. The articles does the same in a shorter version.

We tend to compare our IT shops against an average in benchmarks yet both of these make the point that this is not always reasonable. None of us are average. None of our organizations are average. We are all unique in some aspects. We all have unique business requirements. We all have unique characteristics.

The standard benchmark in IT is IT spend as a % of revenue. We compare what our ‘organization’ spends on IT compared against the average for our ‘industry group.’  Really, are any of us average? Do these benchmarks mean anything? Should a group be ‘judged’ by these benchmarks?

They might only provide directional considerations, but we are all unique.

Diversity Wins

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I’ve written a bit before about diversity and how it fits into getting better results and how it is a key part of collaboration success. I’ve recently finished the book Future Perfect: The Case For Progress In A Networked Age by Steven Johnson. As mentioned before, I’m a huge fan of his material which I’ve referenced here and here.  He writes:

When groups are exposed to a more diverse range of perspectives, when their values are forced to confront different viewpoints, they are likely to approach the world in a more nuanced way, and avoid falling prey to crude extremism.

and a key thought:

Diversity does not just expand the common ground of consensus. It also increases the larger group’s ability to solve problems. The pioneer in this line of research is the University of Michigan professor Scott E. Page. He has spent the past twenty years building a convincing case for what he calls the “Diversity trumps ability” theory, demonstrating the phenomenon in sociological studies and mathematical models. Take two groups of individuals and assign to each one some kind of problem to solve. One group has a higher average IQ than the other, and is more homogeneous in its composition. One group, say, is all doctors with IQs above 130; the second group doesn’t perform as well on the IQ tests, but includes a wide range of professions. What Page found, paradoxically, was that the diverse group was ultimately smarter than the smart group. The individuals in the high-IQ group might have scored better individually on intelligence tests, but when it came to solving problems as a group, diversity matters more than individual brainpower.

and in summary
We want diversity for another reason as well: because we are smarter as a society—more innovative and flexible in our thinking—when diverse perspectives collaborate.
In a corporate setting, it means our teams needs to contain diverse backgrounds and experiences with some new ideas and some older experiences mixed together.
And as a leader, it means I need to really be dialed into listening to opinions of people who differ from me because they might have a perspective that I can’t see. I once told one of my staff that I was blind to something that she felt passionate about and she later told me that meant a lot to her to hear me say that to the group.
Diversity wins.

Interesting Reading

I’ve picked out a few articles that struck me this week as particularly interesting. Thought I’d share them here.

  1. How Long Till Hackers Start Faking Leaked Documents appeared in The Atlantic a few days ago. I had never considered this possibility before and it has really struck me. Distribute thousands of real emails and insert in 2-3 carefully crafted ones into the mix. Elections could be influenced. Governments could fall. Businesses could collapse. I had never thought of this before and is absolutely no reason to believe it isn’t happening already or will happen.
  2. Spotting the Gaps is a wonderful reminder that we need to learn to see what is missing. We need to learn to look for the missing pieces, the things that aren’t there or aren’t happening. We tend to only see what is right in front of us. Perhaps we should start purposely asking about what is missing in discussions about problems and opportunities.
  3. Six Rules to Simplify Work is another gem. Reenforce the integrators is particularly important. Those who connect and tie things together are very valuable. Learn to be that person.
  4. Seven Steps Toward Better Critical Thinking is another very good list of things to consider. Don’t believe something just because everyone else does. I might add to the list that you need to consider the source of a position because they might be biased in favor of one position over another. I recently read an article where someone came out criticizing a position yet it wasn’t clear in the article that the author was motivated and prospered by the decision going a particular way.

I post a lot of articles that I like on twitter at @brewerma.