Month: September 2013
The People who Move the Dial
Whether you are a business owner, a manager, or a parent, finding the right way to motivate your team is important to maximize performance and results. Each person is a little bit different and is looking for something a little different, and once you figure out what is important, you can get the most out of them. Not everyone wants to be a star – which is usually OK (as long as they have the right attitude, skills, and work ethic and add value).
Then there are those exceptional people who want to be the best, are willing to take risks, work hard, and “think differently” in order to succeed. These people are self-motivated and continue to raise the bar for the entire team as part of a high-performance culture. These are the people who move the dial.
I’ve had the pleasure of being taught by people like this, working with people like this, managing people like this, and helping a few become people like this. Occasionally, you have a few special people working together, which is when amazing things happen. These people are generally curious and wonder, “Why not?” They are confident (not arrogant), intelligent, and passionate about success.
Back when I was funding research projects, I had a trip scheduled to Philadelphia. I asked a friend at a local hospital to make an introduction to meet someone from “CHOP” (the Children’s Hospital of Philadelphia). They were always ranked as a top hospital and research facility, and I wanted to learn why. The introduction was made, and a lunch meeting was scheduled. I was looking forward to the meeting but had no real expectations (other than being asked for money).
To my surprise, a half-dozen people in a large conference room with a catered lunch greeted me. They presented on their various projects (which was unusual as they did not know me, and possibly worse, knew I was involved with research projects at other facilities). Everyone in the room was amazing, and the department head (Dr. Terri Finkel) was one of the most impressive people I had ever met.
After lunch, I told Dr. Finkel I appreciated the lunch, but wondered why she went to so much trouble when I never promised to do anything in return. She smiled and replied, “We love what we do and love having the opportunity to talk about our projects and passions to people with similar interests.” That made a huge impression on me, and within a few months, we were funding projects using a unique approach that Terri suggested. The approach was in response to my question about getting the most “bang for my research dollars” (thinking more like a businessperson than a researcher).
Over the next few years, this team did incredible things that had a tangible impact on Pediatric Rheumatology and the quality of life for children with Juvenile Arthritis. Many great researchers were involved, but two of them really stood out (Drs. Sandy Burnham and Randy Cron – both continue to do amazing things to this day). The results of this team were so much better than everyone else we supported. They provided a huge return on my investment, and I can take pride knowing that I made a difference through these efforts.
To me, it came back to the basics. Intelligent people who were passionate about making a difference, confident enough to be challenged, and led by a visionary person who saw an opportunity to motivate her team and help me achieve my goals. It’s the best type of win-win scenario possible.
These people moved the dial back then and continue to move it today. It is a thing of beauty to watch stars like this perform. These people shine twice as bright and guide others toward success. And you can find them in every industry and every walk of life.
Using Technology for the Greater Good
My company and my family funded a dozen or so medical research projects over several years. I had the pleasure of meeting and working with many brilliant MD/Ph.D. researchers. My goal was to fund $1 million in medical research and find a cure for Juvenile Arthritis. We didn’t reach that goal, but many good things came out of that research.
Something that amazed me was how research worked. Competition for funding is intense, so there was much less collaboration between institutions than I would have expected. At one point, we were funding similar projects at two institutions. The projects went in two very different directions, and it was clear that one would be much more successful than the other. It seemed almost wasteful, and I thought there must be a better, more efficient, and cost-effective way of managing research efforts.
So, in 2006 I had an idea. What if I could create a cloud-based (a very new concept at the time) research platform that would support global collaboration? It would need to support true analytical processing, statistical analysis, document management (something fairly new then), and desktop publishing. Publishing research findings is very important in this space, so my idea was to provide a workspace that supported end-to-end research efforts (inception to publication, including auditing and data collection) and fostered collaboration.
This platform would only work if there were a new way to allow interested parties to fund this research that was easy to use and could reach a large audience. Individuals could make contributions based on areas of interest, specific projects, specific individuals working on projects, or projects in a specific regional area. The idea was a lot like what Crowdtilt is today. This funding mechanism would support non-traditional collaboration and hopefully greatly impact the research community and their findings.
Additionally, this platform would support the collection of suggestions and ideas. Good ideas can come from anywhere – especially when you don’t know that something is not supposed to work.
During one funding review meeting at the Children’s Hospital of Philadelphia (CHOP), I made a naïve statement about using cortisone injections to treat TMJ arthritis. I was told why this would not work. A month or so later, I received a call explaining that my suggestion might work, with a request for another in-person meeting and additional funding. Conceptual Expansion at its best! That led to a new research project and positive results (see http://onlinelibrary.wiley.com/doi/10.1002/art.21384/pdf).
You never know where the next good idea might come from, so why not make it easy for people to share those ideas.
By the end of 2007, I had designed an architecture based on SOA (service-oriented architecture) using open-source products that would do most of what I needed. Then, in 2008 Google announced the “Project 10^100” competition. I entered, confident that I would at least get an honorable mention (alas, nothing came from this).
Then, in early 2010 I spent an hour discussing my idea with the CTO of a popular Cloud company. This CTO had a medical background, liked my idea, offered a few suggestions, and even offered to help. It was the perfect opportunity. But, I had just started a new position at work, so this project fell by the wayside. That was a shame, and I only have myself to blame. It is something that has bothered me for years.
It’s 2013, and far more tools are available today to make this platform a reality, and something like this still does not exist. I’m writing this because the idea has merit, and I think there might be others who feel the same way and would like to work on making this dream a reality. It’s a chance to leverage technology to potentially make a huge impact on society. And it can create opportunities for people in regions that might otherwise be ignored to contribute to this greater good.
Idealistic? Maybe. Possible? Absolutely!
What’s so special about Spatial?
Two years ago, I was assigned some of the product management responsibilities and product marketing work for a new version of a database product we were releasing. To me, this was the trifecta of bad fortune. I didn’t mind product marketing, but I knew it took a lot of work to do well. I didn’t feel that product management was a real challenge (I was so wrong here), and even though we saw more demand for products supporting Esri’s ArcGIS, I wasn’t interested in working with maps.
I was so wrong in so many ways. I didn’t realize real product management was as much work as product marketing. And I learned that geospatial was far more than just maps. It was quite an eye-opening experience for me – one that also turned out to be very valuable.
First, let me start by saying that I now greatly appreciate Cartography. I never realized how complex mapmaking is and how there is just as much art as science (a lot like programming). Maps can be so much more than just simple drawings.
I had a great teacher when it came to geospatial – Tyler Mitchell (@spatialguru). He showed me the power of overlaying tabular business data with common spatial data (addresses, zip / postal codes, coordinates) and presenting the “conglomeration of data” in layers that made things easier to understand. I believe that “people buy easy,” which makes this a good thing in my book.
The more I thought about this technology – simple points, lines, and areas combined with powerful functions, the more I began to think about other uses. I realized that you could use it to correlate very different data sets and graphically show relationships that would otherwise be extremely difficult to make.
For example, think about having access to population data, demographic data, business and housing data, crime data, health/disease data, etc. Now, consider a simple, easy-to-use graphical dashboard that overlaps as many data sets as needed. Within seconds, you see very specific clusters of geographically correlated data, which may bring attention to other correlations.
Some data may only be granular to a zip code or city, but others will allow you to identify patterns in specific streets and neighborhoods. Just think of how something so simple can help you make decisions that are so much better. It’s interesting how few businesses take advantage of this cost-effective technology.
If that wasn’t enough, just think about location-aware applications and the proliferation of smart devices and IoT that completely lend themselves to many helpful and lucrative mobile applications. Even more than that, they make those devices more helpful and user-friendly. Just think about how easy it is to find the nearest Indian restaurant when the thought of curry for lunch hits you. And these things are just the tip of the iceberg.
What a lucky day for me when I was assigned this work that I did not want. Little did I know that it would change my thoughts about many things. That’s just the way things work out sometimes.
My perspective on Big Data
Ever since I worked on redesigning a risk management system at an insurance company (1994-1995) I was impressed at how better decisions could be made with more data – assuming it was the right data. The concept of “What is the right data?” has intrigued me for years, as what may seem common sense today could have been unknown 5-10 years ago and could be completely passé 5-10 years from now. Context becomes very important because of the variability and relevance of data over time.
This is what makes Big Data interesting. There really is no right or wrong answer or definition. Having a framework to define, categorize, and use that data is important. And at some point, being able to refer to the data in context will also be very important. Just think about how challenging it could be to compare scenarios or events from 5 years ago with those of today. It’s likely not an apples-to-apples comparison, but it could certainly be done. The concept of maximizing the value of data is pretty cool stuff.
The way I think of Big Data is similar to a water tributary system. Water enters the system in many ways – rain from the clouds, sprinkles from private and public supplies, runoff, overflow, etc. It also has many interesting dimensions, such as quality/purity (not necessarily the same due to different aspects of need), velocity, depth, capacity, and so forth. Not all water gets into the tributary system (e.g., some is absorbed into the groundwater tables, and some evaporates) – just as some data loss should be anticipated.
If you think of streams, ponds, rivers, lakes, reservoirs, deltas, etc., many relevant analogies can be made. And just like the course of a river may change over time, data in our “big data” water tributary system could also change over time.
Another part of my thinking is based on my experience of working on a project for a Nanotech company about a decade ago (2002 – 2003 timeframe). In their labs, they were testing various products. There were particles that changed reflectivity based on the temperature that were embedded in shingles and paint. There were very small batteries that could be recharged quickly tens of thousands of times, were light, and had more capacity than a common 12-volt car battery.
And there was a section where they were doing “biometric testing” for the military. I have since read articles about things like smart fabrics that could monitor a soldier’s health and apply basic first aid and notify others once a problem is detected. This company felt that by 2020, advanced nanotechnology would be widely used by the military, and by 2025, it would be in wide commercial use. Is that still a possibility? Who knows…
Much of what you read today is about the exponential growth of data. I agree with that, but as stated earlier, and this is important, I believe that the nature and sources of that data will change significantly. For example, nanoparticles in engine oil will provide information about temperature, engine speed, load, and even rapid changes in motion (fast take-off or stops, quick turns). The nanoparticles in the paint will provide weather conditions. The nanoparticles on the seat upholstery will provide information about occupants (number, size, weight). Sort of like the “sensor web” from the original Kevin Delin perspective. A lot of “Information of Things” (IoT) data will be generated, but then what?
I believe that time will become an essential aspect of every piece of data and that location (X, Y, and Z coordinates) will be just as important. However, not every sensor collects location (spatial) data. I believe multiple data aggregators will be in everyday use at common points (your car, your house, your watch). Those aggregators will package the available data into something akin to an XML object, allowing flexibility. From my perspective, this is where things become very interesting relative to commercial use and data privacy.
Currently, companies like Google make a lot of money by aggregating data from multiple sources, correlating it with various attributes, and then selling knowledge derived from that data. I believe there will be opportunities for individuals to use “data exchanges” to manage, sell, and directly benefit from their own data. The more interesting their data, the more value it has and the more benefit it provides to the person selling it. This could have a significant economic impact, fostering both the use and expansion of the commercial ecosystems needed to manage this technology’s commercial and privacy aspects, especially as it relates to machine learning.
The next logical step in this vision is “smart everything.” For example, you could buy a shirt that is just a shirt. But you could turn on medical monitoring or refractive heating/cooling for an extra cost. And, if you felt there was a market for extra dimensions of data that could benefit you financially, you could also enable those sensors. Just think of the potential impact that technology would have on commerce in this scenario.
I believe this will happen within the next decade or so. This won’t be the only type of use of big data. Instead, there will be many valid types and uses of data – some complementary and some completely discrete. It has the potential to become a confusing mess. But, people will find ways to ingest, categorize, and correlate data to create value – today or in the future.
Utilizing data will become an increasingly competitive advantage for people and companies, knowing how to do something interesting and useful. Who knows what will be viewed as valuable data 5-10 years from now, but it will likely be different than what we view as valuable data today.
So, what are your thoughts? Can we predict the future based on the past? Or, is it simply enough to create platforms that are powerful enough, flexible enough, and extensible enough to change our understanding as our perspective of what is important changes? Either way, it will be fun!
Why I Love Technology
Technology was not native to me, at least relative to children and young adults today. Simple four-function calculators started becoming popular when I was in Elementary School. I only had a single computer course in High School (it was the only one offered). We had a Timex Sinclair and, later, a Commodore 64 computer at home. It was fun, but I wasn’t hooked yet.
I started a car and motorcycle parts business when I was 18. Initially, I was looking for a way to get cheaper parts for myself and thought if I could make money doing it, then all the better. Nearly everything I did was manual. Then I learned about a Radio Shack TRS-80 at college that had a word processing program. I used that to create mailings to parts companies, distributors, and potential customers. Before long, I had a catalog of products I could sell and a small but loyal customer base buying products and services from me. If Quickbooks had been available back then, I may have kept the business running. Doing everything manually just took too much time. Even so, this was my first technology win, and I liked it.
A few years later, I was programming at a local marketing company. The MIS Director (what IT used to be called) purchased a new relational database product with a 4GL application language. This was in 1987, and this technology was very new. The product was sold as saving “75% of your development time and effort.” Most seasoned people in the group did not want to risk their reputations on something that might not work.
I was new and had nothing to lose, so for the next month, I read every manual cover-to-cover. Before long, I worked on new applications and soon became the in-house RDBMS/4GL expert. This led to a fast track of promotions and being selected to develop the majority of new custom applications sold by our company. It was not easy, but it was fun and good for my career.
My first and arguably most influential mentor was my manager at this job (Jim). He taught me about designing parameter-driven systems that were flexible and extensible. He also taught me that “good enough usually isn’t good enough.” Most people are lucky to have one really good mentor during their career. I’ve been blessed with four of them at different stages of my career. It has motivated me to return the favor and help others whenever possible. This job helped me grow in so many ways.
A few years later, I worked at a software company creating a new standard product on this database platform. Nobody was trained on the product, and most wrote their embedded C / SQL programs like any other 3GL program (i.e., non-transactionally). I pointed out to the VP of Development that this would be a problem. He didn’t want to hear that. I pushed for a concurrency test, and everything locked up. Many people were suddenly upset with me, but the longer you wait to solve problems like these, the more expensive it becomes.
We spent the next two months creating functions to manage transactions, optimizing everything (even table structures to get the best byte alignment), and making this new packaged system work. The VP now liked and respected me, which changed our working dynamics. That shifted the focus from people and personalities to technologies and results.
We also worked on other aspects of the system to enhance performance. We created a system much like Memcached in Perl (back in 1990) that allowed us to handle the workflow of even the fastest warehouses in near real-time. We did many leading-edge things at the time (HA clusters with automatic failover, automated restart of remote devices to resume work in progress to the point of failure, outsourcing to India using an X.400 connection that I configured, distributed systems, client/server systems, etc.) I learned a lot from that experience and was proud of the results.
Later, I worked for that database company (Ingres). This was in the heyday of consulting, where projects were huge, and rates were high. My first project (started on my second day on the job) was being assigned to redesign a Risk Management System at an insurance company that started using our products. I soon found that the project had been in progress for two years and had binders full of specifications, but nothing was actionable. I did not make many friends those first two weeks, as I pointed these things out.
I offered to facilitate a JAD (joint application design) session with multiple lines of business. This pointed out issues that even they were unaware of and allowed us to begin designing a flexible system that would accommodate all lines of business. We used an agile approach to prototype the new system, demonstrations to get buy-in, and moved the project forward quickly. Six months later, the first part of that functionality went live. The system was fully functional within a year!
I had the opportunity to work on some of the largest databases at the time (roughly 300 GB total, which is small by today’s measures), work on leading-edge technology (Clustering, VLDB, and Enterprise Unix systems), and really become a true Consultant along the way (with the help of another mentor – Bill). I was sent to several Unix Internals courses and then worked with our Engineering team to improve our products and create configurations supporting other large companies with similar problems.
A few years later,, I worked at a small start-up company that created the world’s first commercial JDBC driver. I have worked with many very smart people before, but now I worked with a couple of very brilliant people. My main contribution this time was on the business side, but we learned a lot from each other as we grew the business to over $1M in sales within the first year.
One thing that sticks with me is that I became interested in VRML (virtual reality modeling language) during this time. I had an idea (1997) that we could create a website to show the insides of buildings, productize them, and sell them to real estate companies and larger apartment complex owners. My idea was not well received by the team, but a few years later, systems like this were being developed, and a few people were making a lot of money. That taught me to have more faith in ideas based on new technology, regardless of what others thought. It also brought me back to an important concept in Business and Consulting, which is being able to communicate ideas and benefits in ways that are easy enough for everyone to understand as opposed to focusing on the technology itself.
Over the years, these lessons learned have helped with BI (business intelligence) – building dashboards using relevant KPIs tailored to the specific audience, mobile computing, cloud computing, IoT, and big data. Most people think these things are “not important until they become important,” often 6 – 12 months (or more) later. From my perspective, the real trick isn’t in trying to understand the next big thing but rather in considering better, easier, and more efficient ways of doing things you do today.
This is why I love technology. It has helped me accomplish many things that have had a tangible impact on the businesses I have worked for and consulted with. It has taught me to think about problems and ideas from various perspectives and to leverage lessons learned in one area to help solve problems in another (i.e., transfer knowledge and skills from one area to another). Technology has provided me opportunities to learn about and work on solving business and technical problems in several industries as I ponder, “Why not?”
My interest in technology has allowed me to meet and work with many interesting and incredible people throughout my career in many industries and settings. That’s much more than I ever expected when I took my first programming course so long ago, and it has become a significant aspect of almost everything I do.
Welcome to this journey of discovery and sharing.
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Where Ideas, Experiences, and Lessons Learned Intersect 