Showing posts with label big data. Show all posts
Showing posts with label big data. Show all posts

Reality is Required

If you have spent any time working on IT projects you will have heard the statement, "The solution is only as good as the data." It's true.  If you lack enough good data to generate an accurate output, stop and find it before moving forward.  I remember having so many good ideas for process improvement when I worked in IT.  Almost all of them, however, were shut down with the words, “We don’t have good data for that.”

Truth is important.  If your data does not reflect reality – digital solutions won’t work.  Many technology projects fail when they move from the whiteboard to reality because they were designed on a notional view of the world, rather than on the state of things as they actually exist.  

Understanding what reality is can often be helped by developing a digital twin.  A digital twin is created by integrating sensors into a thing or series of things for the purpose of capturing enough good data to clearly depict reality.  Sensor-supported digital twins fill in the blind spots. Where previously we operated on conjecture and false assumptions, we can now operate with an improved view of reality.  

Reality, however, is more than data.  Sixty-degrees is a good hiking temperature if it is measured in Fahrenheit, but it would kill you if the results were measured in Celsius. A 500% increase in your annual sales sounds impressive, unless you started with 25 cents. Data that reflects reality must also include context. 

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Kevin Benedict
Partner | Futurist | Leadership Strategies at TCS
View my profile on LinkedIn
Follow me on Twitter @krbenedict
Join the Linkedin Group Digital Intelligence

***Full Disclosure: These are my personal opinions. No company is silly enough to claim them. I work with and have worked with many of the companies mentioned in my articles.

Covid-19, Demographics, Risk Analysis and Mobile Apps

Finally, it seems we have accumulated enough data from Covid-19 cases to focus in on how we can properly and strictly protect our vulnerable populations and reopen our economies.  We know that if a person has underlying health problems* they have a far higher risk so need additional protections.  We know that people over 65 years old and people living in long-term care facilities are more at risk.  In fact, the most recent update from Idaho's Covid-19 statistics show 58 of the 60 reported deaths occurring in individuals 60 or older.  If a person does not fit any of these three high risk categories, then their risk of getting seriously ill from Covid-19 is small.  This data seems to suggest that giving different guidance to different segments of our population may have merit.

AI and Marketing Mix Modeling

In the course of my research on the impact of artificial intelligence on sales, marketing and customer experiences, I have been learning about Marketing Mix Modeling (MMM).  If you are not familiar with it, here is a quick description from our friends at Wikipedia.
"Marketing mix modeling (MMM) is a way to optimize advertising mix (where money is spent on advertising) and promotional tactics with respect to sales revenue or profit.  It is an analytical approach that uses historic information, such as syndicated point-of-sale data and companies’ internal data, to quantify the sales impact of various marketing activities." 
As I dug deeper into MMM I saw both the value and the complexity involved.  However, my liberal arts degree, in no way prepared me for it.

The ideas and concepts around MMM have been used in the CPG (consumer packaged goods) industry for decades, but little outside of that industry.  The reason - it required massive volumes of data and greater computing power than was available at an affordable price.  Today, however, with digital transformation, increasing numbers of digital customer interactions, the abundance of data, algorithms, analytics dashboards, artificial intelligence and everything-as-a-service, MMM is rapidly expanding.

Is Silicon Valley Worth It?

Have you ever wondered why technology start-ups aggregate in Silicon Valley like moths to a flame?  Office space is expensive.  Hiring employees in the valley is costly.  Competition for talent is fierce.  Buying a home is cost prohibitive and traffic is horrible.  Yet start-ups continue to locate here.  What are the attractants?  Let's consider the following:

Traditional consulting practices promote the fact they have decades worth of accumulated business processes, system designs, economic models, methodologies and experiences from years of providing IT and business strategy consulting to large multinational companies. The problem is the large legacy S&P 500 companies are not the models for agility and digital acumen today - think about the trouble GE is in.  Today the average number of years a company can stay in the S&P 500 is predicted to be only 14 years.  Today, agile Silicon Valley companies are the ones commanding the most attention.

Having Silicon Valley DNA today is more important than archives full of historic processes and decades of experience deploying legacy systems.  Silicon Valley is the very epicenter of digital transformation and the companies here think and act differently.  Silicon Valley DNA is a digital mindset, a paradigm, a culture, a perspective and an operational strategy.  It assumes there are competitive advantages to be found in change and innovation - just waiting to be exploited.  It aggressively pursues new business models and innovations based on the belief there is value in learning, whether the experiment is a success or a failure.  It seeks examples of successful proof of concepts across all industries, and then seeks ways to apply those findings to other business problems and situations.

Consulting companies with Silicon Valley DNA are not attracted to projects involving the implementation or deployment of legacy technologies and business models.  They may do them, but only as a means to an end, which is to get more challenging and transformative projects and business. They seek opportunities to help companies advance, in leaps and bounds, rather than in small risk-free iterations.  

Businesses with real Silicon Valley DNA are located in the Silicon Valley.  It means they are surrounded by innovative people both inside and outside the company that are working with and learning about emerging technologies and business and economic models every day.  It means they are collecting and working with new ideas every day - assembling and reassembling them to form new products, services and businesses.  It means they have unleashed their employees’ creativity to integrate and test unique combinations of technologies in search of additional value. 

Being located in the Silicon Valley and having Silicon Valley relationships also benefits new start-ups seeking to fund interesting ideas and new ventures.  In addition, start-up teams benefit from being in close proximity to experienced technology leaders, investors and advisors. 

Consulting companies with Silicon Valley DNA, are made up with people that think differently.  They thrive in an environment and culture that attracts ambitious, competitive and driven innovators and entrepreneurs.  They are not seeking status quo, but rather they are trying to make a positive impact through change.

Where many traditional businesses struggle with change and experience a deep-set institutional and leadership resistance to it, businesses with Silicon Valley DNA recognize change as an opportunity to capture additional competitive advantages and deliver more value.

Businesses with Silicon Valley DNA also look at risk differently.  Where traditional businesses might fear risk and see it as something to avoid, Silicon Valley companies are willing to work with it.  They see risk as a gateway to potential opportunities and competitive advantages that are worth exploring.

Silicon Valley consulting companies often have an abundance of knowledge and experience on how to take an idea from a concept to a new business ventures.  Often within leadership teams they have the accumulated experience of having worked in dozens of different start-ups.  This experience has shaped them into entrepreneurs.  Their natural approach to any project is from a business start-up perspective.  This mindset is missing from many consulting companies that focus primarily on staffing and long-term ERP implementations and deployments.

Another Silicon Valley DNA character trait is a healthy disrespect for how things have been done in the past.  Traditional market rules and behaviors, business model norms, institutional and industry practices are often not respected.  In fact, they are often viewed as mere artificial limitations created by incumbents for the purpose of protecting their own status quo and limiting customer choices and options.  In the Silicon Valley rewards are given most often to those that think out-of-the-box, not to those trying to fit in it.

Silicon Valley consulting companies and entrepreneurs often believe in fuzzy math.  They believe that 2 + 2 does equal 5.  They have witnessed firsthand entrepreneurs networking independent car drivers together with ubiquitous wireless broadband, maps, mobile apps, mobile payments and a demand for transportation into – Uber!  They have experienced the value of collecting concepts, ideas, technologies and best practices from many different industries and combining them into new business models that thrives and add exponential business value!

Businesses with Silicon Valley DNA by their very nature also look beyond technologies.  With an entrepreneurial mind they consider competition, markets, regulatory environments, industry trends and much more.  This is a requirement for start-ups and these considerations are embedded in their approach to consulting.

We have of course generalized in this article.  Not every business with Silicon Valley DNA is geographically located in Silicon Valley, but having this DNA is a huge advantage.  


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Kevin Benedict
Senior Vice President, Solutions Strategy, Regalix Inc.
Website Regalix Inc.
View my profile on LinkedIn
Follow me on Twitter @krbenedict
Subscribe to Kevin's YouTube Channel
Join the Linkedin Group Digital Intelligence
Join the Google+ Community Mobile Enterprise Strategies

***Full Disclosure: These are my personal opinions. No company is silly enough to claim them. I work with and have worked with many of the companies mentioned in my articles.

IT Leaders Series: Nigel Willson, Microsoft's Global Strategist

In this episode of the IT Leader Series, Microsoft's digital expert and guru Nigel Willson and I discuss IT trends, business strategies, emerging technologies and the future.   I learned a great deal and hope you will to.


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Kevin Benedict
Senior Vice President Solutions Strategy, Regalix Inc.
Website Regalix Inc.
View my profile on LinkedIn
Follow me on Twitter @krbenedict
Subscribe to Kevin's YouTube Channel
Join the Linkedin Group Digital Intelligence
Join the Google+ Community Mobile Enterprise Strategies

***Full Disclosure: These are my personal opinions. No company is silly enough to claim them. I work with and have worked with many of the companies mentioned in my articles.

Digital Expert Interviews: Oracle's Chatbot, AI and Mobility Expert Suhas Uliyar

I am excited to share an interview I recorded with Oracle’s digital, AI, chatbot and mobility expert Suhas Uliyar. In this interview we discuss the meaning of ambient human interfaces, the technology stack that enables chatbots, the power of interfaces that you don’t have to learn, and we learn that algorithms haven’t change that much in 25 years. I learned a lot and hope you will to! Enjoy!



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Kevin Benedict
Senior Vice President Solutions Strategy, Regalix Inc.
Website Regalix Inc.
View my profile on LinkedIn
Follow me on Twitter @krbenedict
Subscribe to Kevin's YouTube Channel
Join the Linkedin Group Digital Intelligence
Join the Google+ Community Mobile Enterprise Strategies

***Full Disclosure: These are my personal opinions. No company is silly enough to claim them. I work with and have worked with many of the companies mentioned in my articles.

Leadership: The Plan for Winning in Digital Transformation

Last year the World Economic Forum labeled 2017 as the beginning of the Fourth Industrial Revolution. What value do we gain from defining industrial revolutions? I believe it is to define new sets of rules for winning in business. Let’s review the three previous industrial revolutions.

  • Industrial Revolution #1. We move from reliance on animals, human muscles and biomass to the use of fossil fuels and mechanical power. A caveman/businessman wishing for a competitive advantage might be the first to use mechanical power fueled by fossil fuels to build cave-condos faster and cheaper than other Neanderthals.
  • Industrial Revolution #2. Electricity is harnessed and distributed, both wireless and wired communication is developed, the synthesis of ammonia provides new fertilizers and harvests increase, and new forms of power generation are developed. A farmer wishing for competitive advantages could adopt mobile phones to communicate wirelessly with their workers, use lights around the farm to extend hours of operation, fertilizers could increase their production.
  • Industrial Revolution #3. Digital systems are developed, communication and rapid advances in computing power achieved, which enable new ways of generating, processing and sharing information. A businessman operating a disco and seeking competitive advantages installs a digital cash register for more accurate cash management, buys an Apple Computer with the VisiCalc spreadsheet to better manage the business, and installs a heavy printer to print disco-oriented newsletters and other business documents from the office.
  • Industrial Revolution #4. Billions of humans are connected by mobile devices and networks, surrounded by sensors, wearing wearables, supported by unprecedented processing power, storage capacity, and access to knowledge, which serves as the springboard for developments in artificial intelligence, robotics, the Internet of Things, autonomous vehicles, 3-D printing, nanotechnology, biotechnology, materials science, energy storage, and quantum computing. A business woman seeking a competitive advantage decides to develop and rent out genetically-altered and custom-designed farm animals with embedded GPS sensors to urban dwellers by developing a mobile app connected to the internet where chatbots take your reservation and deliver the beasts in autonomous self-driving trucks pulling cattle trailers.

Mobile Expert Interview Series: Jonathan Kaplan, CTO and Co-Founder of PowWow Mobile

In this in-depth interview, I get the chance to ask PowWow Mobile’s CTO Jonathan Kaplan why 2012 was a good year to start an enterprise mobility focused platform company, and what problems they recognized still needed resolved in the market.  We also dig deep into how AI and IoT fit in with enterprise mobility.  Enjoy!
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Kevin Benedict
Senior Vice President Solutions Strategy, Regalix Inc.
Website Regalix Inc.
View my profile on LinkedIn
Follow me on Twitter @krbenedict
Subscribe to Kevin's YouTube Channel
Join the Linkedin Group Digital Intelligence
Join the Google+ Community Mobile Enterprise Strategies

***Full Disclosure: These are my personal opinions. No company is silly enough to claim them. I work with and have worked with many of the companies mentioned in my articles.

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