Silicon Valley Series: Cultural Impact on Digital Transformation

In this Silicon Valley Series I am honored to interview a number of very smart and experienced Silicon Valley dignitaries on a variety of important business trends, technologies and strategies.  I hope you find this series of short interviews useful.

In this episode, I interview Tom Thimot, a veteran three time CEO of Silicon Valley companies, on the importance of developing the right culture in your enterprise so you can compete successfully in an age of digital transformation.  Enjoy!

Silicon Valley Series: Customer Analytics, Personalization, Privacy and Context

In this Silicon Valley Series I was honored to interview a number of very smart and experienced Silicon Valley dignitaries on a variety of important business trends, technologies and strategies.  I hope you find this series of short interviews useful.

In this episode, I have the honor of learning from Silicon Valley veteran CMO (Chief Marketing Officer), brand and digital marketing expert, Mark Lewis (Twitter @marklewis_sf).  We discuss the latest trends and strategies in personalization, opportunities and privacy challenges.

Silicon Valley Series: Evolution of Cloud, Analytics, AI and Human Integration

In this Silicon Valley Series I was honored to interview a number of very smart and experienced Silicon Valley dignitaries on a variety of important business trends, technologies and strategies.  I hope you find this series of short interviews useful.

In this episode, I interview Silicon Valley veteran and three time CEO Tom Thimot on how artificial intelligence and automation are evolving from hybrid models to more trusted automation models.

The 12 Step Plan for Digital Transformation Speed

It took Magellan’s crew three years sailing ships to circumnavigate the earth.  Today, at hypersonic speeds of 7,680 MPH, it takes just over three hours to circumnavigate the earth.  Data on the Internet, however, travels at 670 million MPH, which means it only takes milliseconds to circumnavigate the earth.  In this age of digital businesses and digital interactions, companies must digitally transform to work effectively in a world where mass information moves at these unimaginable speeds.

It's not just IT systems that are impacted by the volume and speed of information.  The creators of business processes that were designed and developed in an analog area, simply never envisioned a business environment that would require these operational tempos.  Analog business processes were designed to have humans involved.  These dependencies were designed to slow down the process to ensure accuracy, compliance and accountability.  Today, however, operating at the slow speeds of an analog, human dependent business process, will doom your company.  Analog business processes must be quickly automated via robotic process automation using artificial intelligence and machine learning to effectively interact with impatient digital customers and B2B partners.

Artificial Intelligence, Combined Actions and Digital Strategies

Fingerspitzengefühl: A German word used to describe the ability to maintain attention to detail in an ever-changing operational and tactical environment by maintaining real-time situational awareness. The term is synonymous with the English expression of "keeping one's finger on the pulse".  The problem with fingerspitzengefühl traditionally, in addition to pronouncing it, has been it is hard for an individual to scale up. Today that is changing.  In a world of sensors, AI and mobile devices, having real-time situational awareness is far easier than ever before.  In fact, today the challenge is not how to do it, but what to do with the massive volume of data that can be provided.

Competition, Artificial Intelligence and Balloons

W. Edward Deming taught that quality is achieved by measuring as much as possible and reducing variations, and reducing variation is achieved by improving the system, not just pieces.  Japan widely adopted Deming's philosophies in the 1950s and became the 2nd biggest economy in the world.  Quality improvement didn't decrease jobs in Japan, it increased jobs.

AI now has the ability to expand and codify Deming's philosophies - to take them to the next level. AI can improve and standardize decision making based on logic, rather than the fear of missing objectives, bonuses or losing one's job.  It can continuously monitor for quality against specifications by analyzing streams of real-time data coming from embedded sensors connected to the IIoT, IoT and IoA (internet of agriculture). This means companies that are aggressive early adopters of these digital technologies will have more knowledge, higher quality and significant competitive advantages, which means more demand for their products, sales, customer service, manufacturing, distribution, etc.  It also means aggressive adopters will likely generate more jobs.

What Artificial Intelligence Can Teach Us

Most of us understand that artificial intelligence (AI) offers opportunities for productivity improvements in the form of speed, automation, standardized actions and responses, plus the opportunity for continuous improvements via machine learning. These opportunities are enabled by data inputs that are analyzed and processed through AI algorithms that execute a desired decision and action. For all of the great capabilities and benefits that AI can provide, there is also a potential dark side. AI solutions can easily codify our prejudices, bias, gender stereotypes and promote injustices intentionally or unintentionally. This threat, as real and serious as it is, can also be seen as an opportunity to evaluate who we are, what we want the future to look like, and then codify a better tomorrow.