Kevin Benedict is a TCS futurist and lecturer focused on the signals and foresight that emerge as society, geopolitics, economies, science, technology, environment, and philosophy converge.
Showing posts with label center for digital intelligence. Show all posts
Showing posts with label center for digital intelligence. Show all posts
These days it's not hard to identify the challenges organizations are facing during today's rapid business and digital transformation. What's more difficult is knowing how to succeed. The following recommendations are the result of our analysis after interviewing 37 executives and over 80 high tech professionals involved in digital technologies.
Develop and monitor your own digital mindset and that of your organization's: Understand the need to continuously upgrade and update your own thinking, as well as your organization’s. Accept that digital technologies and a connected world are here to stay, and that the path to business success resides in them. Understand digital technologies and their capabilities, and rethink every aspect of your business, and business strategy, with a digital mindset.
Recognize the role culture plays in being successful in three key areas: your leadership, institutional and customer culture. Purposely develop a digital culture that accepts and embraces the rapid pace of change that comes with the Fourth Industrial Revolution.
We humans have a finite speed at which we think, analyze and make decisions that is largely determined by biology, chemistry and physics. These limitations were not a problem when business was conducted largely by face-to-face interactions with other humans. Today, however, in the digital age, businesses must operate in “digital” and ultimately in “future” time. Here’s a closer look at these different time continuums:
Human time: Time governed by our biological and mental limitations as humans. We can only focus on a small set of data before our minds are overwhelmed. When important decisions must be made, our brains need time, significant time, to weigh all the variables, pros and cons and possible outcomes in order to arrive at a good decision. In times of high stress when making fast decisions is required, many of us don’t perform at our peak. In addition, weak humans that we are, we need sleep. We are not always available; we require daily downtime in order to function.
Throughout history military leaders have suffered through the "fog of war," where they desperately sought answers to six key questions:
• Where are my enemies?
• Where are my friends?
• Where are my forces?
• Where are my materials and supplies?
• What capabilities are available now and at what location?
• What are the environmental conditions?
These “unknowns” impacted the strategies and tactics military leaders employed. Their time and energy as leaders were heavily focused on defending themselves against these unknowns.
The concept of speed as an advantage is not new. Over the course of 700 years, the Romans built and maintained a system of roads extending over 55,000 miles to enable speedy communications and the quick movement of troops across the vast expanse of the empire.
What’s different today is that digital technologies have warped our perception of time. As an example, a person might say they live five minutes from town, but that can have widely different meanings based on whether they were referring to walking or driving a car. Digital technologies compress our perception of time and space while expanding our expectations of what can be accomplished in a given time. We expect to complete the equivalent of one hour of shopping in a supermarket in one minute online. These changes significantly impact the way businesses must operate in a digital era to compete and remain relevant.
The human work of solving problems, facing challenges and
overcoming obstacles tends to share a common goal: creating stable, secure and
predictable environments. The tendency for most humans is that once we solve a
challenge, we want to be done with it. That propensity, however, does not
fit with today’s reality of perpetual change.
In the digital business world, organizations have no choice
but to operate in an unclear, uncertain and continuously shifting environment
that requires a new mindset and approach to formulating business
strategies. Digital winners recognize that change is part of the
game, and that they need to develop ways to exploit
continuous ambiguity. In fact, in our surveys of
high-tech professionals, when we asked how long they thought digital
transformation initiatives would last, about one-third of the surveyed technology
professionals answered “forever” – and as we all know, forever is a long, long
time.
Professor Paul Virilio, a philosopher of speed, urbanist and cultural theorist, wrote at length about the impact of speed on society. He wrote that speed compresses both time and distance. Where once it took a letter 6 months to get to the other side of the world, an email can now arrive in seconds. Today's near real-time communications has changed how nations are governed, markets operate and commerce is conducted. The distance and time involved in communications has been compressed into seconds.
Commanders of Roman armies could once estimate the day and time of battle based upon their soldiers ability to march 20 miles per day on purpose built stone roads. Today, however, a ballistic missile can be launched and reach the other side of the earth in minutes. As a result, nations and their military commanders must now prepare to make critical decisions in mere seconds rather than taking days, weeks or months to deliberate. That's a big deal. In the past, an army could retreat and give up distance for time. In the example of the roman army, an opponent could retreat and separate themselves by 100 miles to give them the security of 5 days of time. Today 100 miles means only a matter of seconds. The distance and time of military conflicts today has been compressed to milliseconds.
How can an organization with decades worth of accumulated ERP customizations and configurations, IT systems and customized software applications digitally transform fast enough to keep up with the rapidly changing behaviors of digital customers? That is a hard question most organizations are wrestling with today. Often complex custom IT environments served a purpose in a past era, but today where IT speed and agility are required, they serve as anchors restraining an organization from moving forward and digitally transforming fast enough to compete.
Like a CEO that closes down or sells a profitable business unit because it no longer fits with where the organization is going, CTOs and CIOs must rapidly shut down or replace IT systems and processes that no longer support the reality of today, or the vision of the future based on the best information available today - not yesterday. Keeping an outdated IT system or business process for the purpose of achieving a positive return on the original investment is a strategy based on pride, not logic.
I had the honor of interviewing and disrupting the vacation of Hitachi's CTO for Industrial IoT, Rob Tiffany today. In this interview we talk all about IoT platforms, big data analytics, architectures, digital twins and solution stacks for industrial IoT. I learned a lot and hope you will too.
***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.
I have had the opportunity to work for and around a good many start-ups during the course of my career. Often the start-up founders would simply define a problem, develop a solution and launch a company. The marketing department would then do their very best to identify the individuals in each target company that experienced the problem and had a budget to fix it. This was always a challenging task, but it is even harder today.
Today, start-ups must not only identify a problem that needs solved, but they must compete against "digital transformation" initiatives in both the business and IT organizations that are trying to reduce complexity through the elimination of applications, customized software solutions, IT systems, multiple instances of ERPs and vendors.
The goal of many organizations today is to simplify the IT environment, and to make business processes much faster and agile. I see many companies seeking to standardize on a handful of platforms like Salesforce.com, SAP, Adobe, Ariba, SuccessFactor, etc. Too many systems in an IT inventory, means too much complexity and the increased risk that data will be compromised, and that systems will be too expensive to maintain, secure and upgrade. In this age of fast changing digital consumer behaviors, flexibility and simplicity equal organizational speed to keep up with their markets.
What is the answer for start-ups? Start-up solutions must appeal to the digital transformation goals of their target customers. It means their solution must be cloud based and automatically upgraded to stay aligned with customer's core platforms and systems. It means offering artificial intelligence enabled robotic process automation, chatbots and machine learning that can improve predictability, simplify complexity and eliminate troublesome areas of service and performance. It must not result in any additional layers of complexity, rather new solutions need to solve big problems, while at the same time reducing complexity, and increasing agility and the operational tempo of the business.
***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.
I have read several articles recently about projects designed to
teach digital systems to think more like humans.For example one article was about teaching
chatbot systems to communicate empathy to humans.It seems ironic that we are developing
digital systems to think more like humans, while at the same time much of my
work is focused on teaching humans how to think more like and about digital
systems and their capabilities.Let me
explain.
Competitive battles in most industries today are increasingly centered
on digital technologies and digital strategies, and as a result, it benefits
leaders to have a deep understanding of how digital systems work, and how the
impact of new digital innovations will change the behaviors of customers,
competitors and partners.
A few of the areas that I think leaders should really understand
are:
Simple
programming concepts and computer logic
Small World, social
networks and swarming theories
Industry and technology
data exchange standards
Platforms, Cloud
computing, Containers and System thinking
Internet and
network architecture and design
Big Data and
real-time analytics
GPS, GIS and
Mapping
Mobile and
wireless technologies
Sensors, embedded
wireless devices and IoT
Data and device security
and authentication
Databases and
data lifecycle management
Online catalogs,
shopping carts and digital payments
Digital
marketing, personalization and contextual relevance
Digital content
and delivery: websites, blogs, videos, podcasts, social media (e.g. Twitter,
Snapchat, Instagram, YouTube, LinkedIn, Facebook, etc.)
Robotics,
automation, AI and machine learning
Virtual and
augmented reality
There are many more items that
could be added to this short list, but I hope you get the idea.If we can agree that digital technologies are
fundamental to our future success, then we must understand them, or at least
their capabilities.
***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.
The winning trinity in competitive decision-making includes
people, ideas and things according to the renowned military strategist John
Boyd. Although competitive decision-making is not yet an Olympic sport, it affects
us all.Leaders (people) must become
trained experts at using digital technologies to make fast decisions.Leaders must use the right strategies and
methodologies (ideas) to make wise decisions fast, and they must collect the
needed data and analyze it fast enough using the best solutions (things).If any component of this trinity is weak, it
will be hard to compete.
In a recent survey of high tech VP level and above
executives that I conducted, few companies have a formal training program in
place to help develop their leaders to be skilled at digital transformation and
competitive decision-making.Most
enterprises are just rolling the dice on the skill levels of their leadership.Given the emerging challenges that digital
transformation introduces to a complex business, I would strongly advise
companies to invest in formal digital leadership development.
Some of the key goals of digital transformation are to speed
up and improve interactions with digital customers, and to be able to react
faster to new information.As digital
technologies (things) provide more real-time data, and real-time data analysis,
new strategies (ideas) for making real-time decisions must be implemented by
leaders (people) or their proxies.In
the future, more and more proxies involved in real-time decision-making will be
in the form of robotic process automation systems using artificial intelligence
and machine learning.
Any business process where there is a documented best
practice for how best to respond to various data inputs can be automated.As data inputs become more real-time, human leadership
decision-making becomes the source of latency in the system.I predict that decision-making will increasingly
be a source of competition, and that decisions will soon be divided into those
where there is a defined best option already which allows for rapid automation,
and those that have ill-defined options and require humans' capacity for
creativity to solve.
***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.
The renowned military strategist John Boyd taught that
people and institutions collect favorite philosophies, strategies, theories and
ideologies over a period of time, and then try to align the future to fit
them.The problem with this is the future
is rarely like the past, and trying to fit new data into old paradigms often
forces us to perform irrational mental gymnastics, which leaves us farther from
the truth.
Our resistance to change and unwillingness to question our
beliefs in the face of mounting evidence, leads us to analytical and execution
failure. A more productive habit would be to continuously review our mental
constructs to find out how to modify our interpretations to align with new
evidence.This action, however, goes
against our human nature that seeks stability and resists change.We see the consequences of these challenges
weekly as we read about companies (especially retail) failing as a result of
their resistance. In the future, developments in artificial intelligence and machine
learning will have the potential to help us overcome many of our own mental
weaknesses that cause us problems in our pursuit of truth.
In the digital era, our ability to change our thinking
becomes even more critical as it must happen at a faster rate.I remember when updates to an enterprise’s
mobile apps required all users to bring their mobile devices into the office to
get them loaded and tested.This was a
slow, tedious and expensive process.Today, as we all know, this can be done worldwide instantly and for very
little money through cloud based app stores.Digital transformation equals speed and accelerated change.
In a world of integrated digital platforms and systems, new digital innovations can impact markets instantly and competitors must be able to react.
The bottom line - one of the biggest factors determining the
digital transformation winners of tomorrow will be the brains of leaders –
their mental constructs.Can executives
and boards look at new evidence and innovations without biases, resistance to
change and prejudices, and grasp how economies, industries, markets and
competition will be impacted?Can they
learn about new digital innovations, understand the breadth of the impact, and
develop new business strategies based on the new realities? Can they overcome
themselves?
It is quite the irony that digital winners will be not
simply those with the best digital technologies, but those that can best
overcome their own human brains.
****
I invite you to watch my latest video on digital technology trends.
Follow me on Twitter @krbenedict, connect with me on LinkedIn or read more of my articles on digital transformation strategies here:
***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.
Consumer behaviors are changing at
speeds never before seen in many industries, which is impacting how businesses
operate and bring products to market. In fact, more than a dozen retailers have
closed this year as a result of having business and IT systems, and supply
chains that are unable to meet the speed requirements of digital consumers.
Most companies report they have IT systems in their inventory that are too
slow or incapable of supporting real-time digital consumers. That spells
trouble. Consumer and competitive changes are forcing enterprises to
rethink their strategies in order to speed up in just about all areas: R&D,
manufacturing, distribution, marketing, and sales.
Enterprises that I speak with today
seem to understand that the need for digital transformation is being driven by
advances in mobile technologies, automation, cloud computing, sensors, big data
analytics and artificial intelligence. They realize they must
upgrade their IT systems and business processes to accommodate these changes
and increase the speed of their operations. They are also focused on how
to improve their agility and flexibility, so they are nimble enough to respond
to changing consumer behaviors, tastes and new competitors. Many
companies today find themselves in a position where their past investments in
IT systems, that once provided competitive advantages, are now anchors
preventing them from moving into the future.
Achieving real-time operational speeds
is required to support real-time digital interactions and experiences.
Supporting these real-time experiences is more than just a technology
issue, it requires companies to support real-time analytics, decision-making
and business operational tempos. An operational tempo, in the context of this
article, is defined as the speed or pace of business operations. Achieving a
faster operational tempo is a significant challenge for many. This is why
we are seeing more applications of real-time analytics, automation and
artificial intelligence.
Changing an enterprise’s operational
tempo requires strong leadership that can transform the entire organization. It
often requires significant IT updates and upgrades, organizational changes, and
reengineering business processes and decision-making matrixes to align with
real-time demands.
The biggest challenge for legacy
companies today, is how to move to real-time.
On
the 20th of July I will be leading an online discussion with
the CIO WaterCooler on "Sequencing Digital Technologies for Competitive
Advantages Over the Next 40 Months of Digital Transformation".
At
my Digital Boardroom we will be discussing that we (consumers) have all changed
as a result of digital and mobile technologies and platforms. Enterprises must
now follow and transform, in order to support these changes and compete fast
enough to matter. If you agree with this premise, then an important question to
ask is what sequence should digital technologies be implemented in order to maximize
the ROI from digital transformation investments? Another important question is
what enterprise business and IT doctrines should guide organizations through
this transformation. These important questions and others will be discussed,
and research findings shared. (Digital Boardrooms typically take approx. 45min)
***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.