This “pocket” story is from Scientific American, originally published on March 5, 2019. The Creativity of ADHD.
Over the years I have found that some of the most interesting, creative, and effective CEOs have ADHD-like tendencies. The strange thing is that they may not even be aware that they have it. Hyperfocus can be incredibly effective when attached to a driven person.
Below are links to a couple of posts that make these concepts and their benefits tangible:
Just examples of why it is best to look beyond labels, lay your preconceived notions to the side, and explore the potential that each and every individual can contribute. The best managers and leaders tend to have this ability.
And if you want to take that a step further, let it guide you on finding the best approach to teaching, coaching, and motivating the people on your team. It may take a little extra effort but the results are amazing.
I was researching an idea last weekend and stumbled across something unexpected. My personal view on IoT has been that it provides a framework to support a rich ecosystem of hardware and software products. That flexibility and extensibility foster innovation, which in turn fosters greater use and ultimately adoption of the best products. It was quite a surprise to discover that IoT was being used to do just the opposite.
My initial finding was a YouTube video about “Tractor Hacking” to allow farmers to make their own repairs. That seemed like an odd video to appear in my search results, but midway or so through the video it made sense. There is a discussion about not having access to software, replacement components not working because they are not registered with that tractor’s serial number and that the only alternative is costly transportation of the equipment to a Dealership to have a costly component installed.
My initial thoughts were that there had to be more to the story, as I found it hard to believe that a major vendor in any industry would intentionally do something like this. That led me to an article from nearly two years earlier that contained the following:
“IoT to completely transform their business model” and
“John Deere was looking for ways to change their business model and extend their products and service offering, allowing for a more constant flow of revenue from a single customer. The IoT allows them to do just that.”
That article closed with the assertion:
“Moreover, only allowing John Deere products access to the ecosystem creates a buyer lock-in for the farmers. Once they own John Deere equipment and make use of their services, it will be very expensive to switch to another supplier, thus strengthening John Deere’s strategic position.”
While any technology – especially platforms, has the potential for vendor lock-in, the majority of vendors offer some form of openness, such as:
- Supporting open standards, APIs and processes that support portability and third-party product access.
- Providing simple ways to unload your own data in at least one of several commonly used non-proprietary formats.
Some buyers may deliberately make the decision to implement systems that support non-standard technology and extensions because they believe the long-term benefits of a tightly coupled system outweigh the risks of being locked-into a vendor’s proprietary stack. But, there are almost always several competitive options available so it is a fully informed decision.
Less technology-savvy buyers may never even consider asking questions like this when making a purchasing decision. Even technologically savvy people may not consider IoT as a key component of some everyday items, failing to recognize the implications of a closed system for their purchase. It will be interesting to see if this type of deliberate business strategy changes due to competitive pressure, social pressure, or legislation over the coming few years.
In the meantime, the principle of caveat emptor may be truer than ever in this age of connected everything and the Internet of Things.
Today I ran across this article that was very good as it focused on lessons learned, which potentially helps everyone interested in these topics. It contained a good mix of problems at a non-technical level.
Below is the link to the article, as well as commentary on the Top 3 items listed from my perspective.
The article starts by discussing how the “problem” being evaluated was misstated using technical terms. It led me to believe that at least some of these efforts are conducted “in a vacuum.” That was a surprise given the cost and strategic importance of getting these early-adopter AI projects right.
In Sales and Marketing you start the question, “What problem are we trying to solve?” and evolve that to, “How would customers or prospects describe this problem in their own words?” Without that understanding, you can neither initially vet the solution nor quickly qualify the need for your solution when speaking with those customers or prospects. That leaves a lot of room for error when transitioning from strategy to execution.
Increased collaboration with Business would likely have helped. This was touched on at the end of the article under “Cultural challenges,” but the importance seemed to be downplayed. Lessons learned are valuable – especially when you are able to learn from the mistakes of others. To me, this should have been called out early as a major lesson learned.
This second area had to do with the perspective of the data, whether that was the angle of the subject in photographs (overhead from a drone vs horizontal from the shoreline) or the type of customer data evaluated (such as from a single source) used to train the ML algorithm.
That was interesting because it appears that assumptions may have played a part in overlooking other aspects of the problem, or that the teams may have been overly confident about obtaining the correct results using the data available. In the examples cited those teams did figure those problems out and took corrective action. A follow-on article describing the process used to make their root cause determination in each case would be very interesting.
As an aside, from my perspective, this is why Explainable AI is so important. There are times that you just don’t know what you don’t know (the unknown unknowns). Being able to understand why and on what the AI is basing its decisions should help with providing better quality curated data up-front, as well as being able to identify potential drifts in the wrong direction while it is still early enough to make corrections without impacting deadlines or deliverables.
This didn’t surprise me but should be a cause for concern as advances are made at faster rates and potentially less validation is made as organizations race to be first to market with some AI-based competitive advantage. The last paragraph under ‘Training data bias’ stated that based on a PWC survey, “only 25 percent of respondents said they would prioritize the ethical implications of an AI solution before implementing it.”
The discussion about the value of unstructured data was very interesting, especially when you consider:
- The potential for NLU (natural language understanding) products in conjunction with ML and AI.
- This is a great NLU-pipeline diagram from North Side Inc. in Canada, one of the pioneers in this space.
- The importance of semantic data analysis relative to any ML effort.
- The incredible value that products like MarkLogic’s database or Franz’s AllegroGraph provide over standard Analytics Database products.
- I personally believe that the biggest exception to assertion this will be from GPU databases (like OmniSci) that easily handle streaming data, can accomplish extreme computational feats well beyond those of traditional CPU based products, and have geospatial capabilities that provide an additional dimension of insight to the problem being solved.
Update: This is a link to a related article that discusses trends in areas of implementation, important considerations, and the potential ROI of AI projects: https://www.fastcompany.com/90387050/reduce-the-hype-and-find-a-plan-how-to-adopt-an-ai-strategy
This is definitely an exciting space that will experience significant growth over the next 3-5 years. The more information, experiences, and lessons learned shared the better it will be for everyone.
I still remember my parents allowing me to stay up late to watch the first moonwalk. It was 9:30 pm, I was 5 years old, and we were huddled around an old “black and white” television that had a circular viewing area. My parents tried to convey how important and monumental that moment was – telling me that I would be telling this story to my children someday.
What I remember most was being amazed seeing the astronauts hop around with ease and not understating how that could be. We had watched the launch on TV and were getting updates nightly from Walter Cronkite on the evening news. Normally my dad would sit at a TV table to eat dinner and watch the news as my mom sat with my sister and me at our kitchen table, but this week was different.
With all of the news this past week on the 50th Anniversary of the first moonwalk it triggered a couple of memories. One of them was that I had a collectible item that I purchased in 2005 at the annual Children’s Circle of Care leadership conference in San Diego, CA. There was a luncheon held on the deck of the USS Midway Museum and afterward, I took a tour. It is an incredible place to visit if you are ever near San Diego.
Before leaving that day I went to the gift shop to get a few trinkets for my wife and children. What I found was a beautiful display, which I immediately purchased and had shipped home. This display was taken to school a couple of times for “show and tell.” It hung on my office wall for 3 years or so and then went into storage with other artwork. It then sat for the past decade and I almost forgot that I had it.
To me, this display is both beautiful to see and very inspirational as well. Human creativity is an incredible thing! As an aside, I have never seen anything like this display so I thought I would share it with you.
Today I also ran across a good article regarding this event that provided information that I had not seen before. It is very interesting and can be found here: https://go.usa.gov/xyVGh
Edit: This was another good article that discusses the advanced flight control computer used at the time – https://www.linkedin.com/pulse/apollo-11-moon-landings-fourth-crew-member-computer-far-fishman/
This anniversary is a great reminder of the power of individuals, teams, and partnerships when they are mission-focused. I find people like the men and women of NASA to be extremely motivational, and the few that I have met have all been very friendly people as well. They are the Humble Heros!