innovation
Innovations “Iron Triangle”
The concept of an Iron Triangle is that along each side of the triangle is one item constrained by the items from the other two sides. In Project Management, this is often referred to as a triple constraint. This identifies the fundamental relationships (such as Time, Cost, and Scope in Project Management) without addressing related aspects such as Risk and Quality. It provides a simple understanding of both requirements and tradeoffs.
Yesterday I spoke with Dave Mosby, an impressive person with an equally impressive background. He related Innovation to Fire, noting that in order to create fire, you need fuel, oxygen, and heat. He added that they must be in the right combination to achieve the desired flame. What a brilliant analogy.
Dave stated that for Corporate Innovation to succeed, you need the proper balance of Innovation, Capital, and Entrepreneurship. I found this enlightening because his description substituted “entrepreneurship” for “culture” in my mental model. While the difference is subtle, I found it to be important.
As noted above, simplified frameworks do not provide a complete understanding. But they help understand and plan around the foundational items required for success. Mapping this to past experiences, I gained a better understanding of things that did not move forward as desired and what I could have done differently to be more effective.
One idea was to create a fault-tolerant database using Red Hat’s JBoss middleware. We had a Services partner willing to create a working prototype, tune it for performance, document the system requirements and configuration, and package it for easy deployment. They wanted $10K to cover their costs.
I did not hold a budget at the time, so I created a purchase request supported by a logical justification. It modeled potential revenue increases for database subscriptions based on the need for a failover installation and growth from potential expanded use cases. This was a slam dunk!
In my mind, this was simple as it was “only $10K,” and I had funded many similar efforts when I had my own company. But that’s the rub. I viewed these efforts as investments in understanding, lessons learned, and growth. Not every investment had a direct payoff, but nearly each had an indirect payoff for my company. It was an entrepreneurial mindset that accepted risk as something required for rewards and success. I now see, many years later, how reframing my proposal as a way to foster innovation and entrepreneurship could have been far more effective.
It is never too late to gain new insights and lessons learned. A slightly different perspective on an important topic provided the understanding that should help position projects for future success. And this flowed from a discussion with an interesting person who has “been there, done that” many times.
Interesting Article about ADHD and Creativity
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. Strangely, 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:
These are examples of why it is best to look beyond labels, lay your preconceived notions aside, and explore each individual’s potential to 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 in finding the best approach to teaching, coaching, and motivating your team members. It may take a little extra effort, but the results are amazing.
Biometric Identity Theft
Recently, I have been researching the potential for fraud and identity theft using fingerprints from photos posted on social media. Last week Amazon released its “Amazon One” Palm Scanner to pay for purchases when shopping. That announcement made me wonder, what are the potential implications for fraud and identity theft using biometric data taken from images?
Technology continues to improve rapidly, which often means, “Where there is the will, there’s a way.”
There are a surprising number of ways to accurately identify someone from a photo or video. Moreover, there is technology to copy fingerprints from social media photos taken up to three meters away. New technology has been proven effective at using 3D printing technology to create “fake fingerprints” that bypass many fingerprint scanners.
Since fingerprints can be copied from photos taken up to three meters away, can a palm print be copied from a photo taken 5-10 meters away? That question led to an interesting but unscientific experiment where I took pictures of my hand, enlarged them, measured the distance between the ridges and furrows of my fingers and my palm, and compared the results. Spoiler – probably not (yet) – but likely not far away given the rapid advancement of AI.
There are several areas where that distance was similar for both my fingers and palm. But, there were also areas on my palm where the average distance between “landmarks” was 3-5+ times greater. It turns out that a palm image is often segmented into 3-4 distinct regions for identification purposes, likely due to this type of variation. This link was helpful in understanding the process.
This research led to an idea for a chip-based embedded filter for smart devices and laptops. It would obfuscate key biometric information when extracting the data for display without affecting the integrity of the original stored image. This functionality would automatically provide an additional layer of privacy and data protection. It would require optimized object detection capabilities (possibly R-CNN) that were highly efficient and run on a capable but low-energy processor like the Arm Cortex-M. Retraining and upgrades would be accomplished with firmware updates.
Edit 2020-10-13: This article on “Tiny ML” from Medium.com is the perfect tie-in to the abovementioned idea.
While Amazon’s technology is much newer and presumably at least partially based on their 2019 Patent Application (which does look impressive), it makes you wonder how susceptible these devices might be to fraud given reports of the scans occurring “almost instantaneously.” Speed is one aspect of successful large-scale commercial adoption, but the accuracy and integrity of the system are far more important from my perspective.
Time will tell how robust and foolproof Amazon’s new technology really is. Given their reach, this could occur sooner rather than later. Ultimately, multiple forms of biometric scans (such as a full handprint with shape, palm, and fingerprints or a retina scan 2-3 minutes prior to the palm scan to maintain performance) may be required for enhanced security, especially with mobile devices.
Additional Resources:
- In-depth NIH document that is helpful in understanding the process and issues.
- A Simplified Guide to Fingerprint Analysis
- This is a 2012 Fingerprint and Palmprint Recognition Approach Report from the European Journal of Scientific Research that has many images and very good explanations.
- “A Textural Approach to Palmprint Identification“
The Coming Changes to Manufacturing
Recently, I spoke with a person on a team analyzing ways to “mitigate the risk of exclusive manufacturing in China” while not fully divesting their business interests in a growing and potentially lucrative market. This bifurcation exercise got me thinking about how many other companies are evaluating their supply chain relationships, inventory management, and the predictability of their cost of goods sold.
In the mid-1990s I had done a lot of work with the MK manufacturing software that ran on the Ingres database. Some of the issues were performance-related and fixed by database tuning, some were fixed by using average costs instead of a full Bill of Materials (BOM) explosion using dozens of screws in a window, but some were more interesting and also more business-focused.
After NAFTA became law, one manufacturer built a facility in Mexico and started manufacturing a few basic but important parts. When I arrived as a Consultant the main problem they faced was a reject rate of roughly 20% and additional related QA costs. My suggestion was to treat this part (a single piece of steel like the rotor from a disk brake system) as a component and build in the cost of both the scrap and the QA. They could then benchmark the costs against other suppliers in an apples-to-apples comparison to determine if they saved money. That approach ended up working well for them.
While that approach helped manage costs, it did not address the timeliness of orders or lead time required – important aspects of Just-in-Time (JIT) manufacturing. Additionally, it should be possible to estimate shipping costs by considering changes in petroleum costs or anticipated changes in demand or capacity.
There are systems out there that claim to estimate the cost and availability of commodities based on various global factors and leading indicators. It is tricky, to say the least, and we can’t anticipate an event like a pandemic. But, companies that are able to manage their inventory and production risk the best will likely be the ones that succeed in the long run. They will become the most reliable suppliers and have increased profits to invest in the further growth and improvement of their businesses.
The next 2-3 years will be very interesting due to technological advances (especially AI) and geopolitical changes. Those companies that embrace change and focus on real transformation will likely emerge as the new leaders in their segments by 2025.
New Perspectives on Business Ecosystems
One of the many changes resulting from the COVID-19 pandemic has been a sea change in thoughts and goals around Supply Chain Management (SCM). Existing SCM systems were up-ended in mere months as it has become challenging to procure raw materials to components, manufacturing has shifted to meet new unanticipated needs, and logistics challenges have arisen from health-related staffing issues, safe working distances, and limited shipping options and availability. In short, things are a mess!
Foundational business changes will require modern approaches to Change Management. Change is not easy – especially at scale, so having ongoing support from the top down and providing incentives to motivate the right behaviors, actions, and outcomes will be especially critical to the success of those initiatives. And remember, “What gets measured gets managed,” so focusing on the aspects of business and change that matter will become a greater focus.
Business Intelligence systems will be especially important for Descriptive Analysis. Machine Learning will likely play a larger role as organizations seek a more comprehensive understanding of patterns and work toward accurate Predictive Analysis. And, of course, Artificial Intelligence / Deep Learning / Neural Networks should accelerate as the need for Prescriptive Analysis grows. Technology will provide many of the insights needed for business leaders to make the best decisions in the shortest amount of time, which is both possible and prudent.
This is also the right time to consider upgrading to a collaborative, agile business ecosystem that can quickly and cost-effectively expand and adapt to whatever comes next. Click on this link to see more of the benefits of this type of model.
Whether you like it or not, change is coming. So, why not take a proactive posture to help ensure that this change is good and meets the objectives your company or organization needs.
Changes like this are all-encompassing, so it is helpful to begin with the mindset, “Win together, Lose together.” In general, it helps to have all areas of an organization moving in lockstep towards a common goal, but at a critical juncture like this, that is no longer an option.
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Where Ideas, Experiences, and Lessons Learned Intersect 