Kevin Benedict Ponders the Future

How Digital Leaders are Different

We asked 50 futurists, professionals employed to review trends and develop strategy, to identify and rank the top five ways they believe digital transformation will drive value generation between now and 2020. Here are their top five answers:

Accelerates speed to market
Strengthens competitive positioning
Boosts revenue growth
Raises employee productivity
Expands ability to acquire, engage and retain customers

These top five value generators offer significant business advantages; but if your organization can achieve them faster than your competitors, there is a bonus advantage. We call it the Ax2 phenomenon (advantages have advantages). Not only do digital leaders realize competitive advantages before others, but they also have the advantage of insights from new data, which leads to new actions and new insights not yet understood or possible for laggards.

Research In Motion (RIM), the progenitor of the Blackberry, responded slowly to Apple’s launch of the iPhone. Years passed before RIM responded with its first smartphone. During this time, Apple worked at “digital speed” to improve its iPhones and the iOS operating system, and hundreds of thousands of software applications were developed for it. Each of these versions provided additional insights into consumers and their behaviors. The Ax2 phenomenon enabled Apple to rapidly widen the gap between leader and laggard, a competitive advantage that proved impossible for RIM to overcome.

Executives must closely watch the innovation efforts of competitors, and recognize that it is not only the new products and services that are being introduced that can be differentiating but also the data they glean from new innovations that can spawn additional advantages.

Information dominance is the strategic imperative of the 21st century. The good news for executives is that investing in digital technologies to gain information dominance makes sense as the return on investment for digital technologies averages nearly 50% among survey participants, but jumps to an astounding 230% for the top 25%.

Achieving information dominance involves understanding the data required to achieve competitive advantage, and then collecting and analyzing it to glean business meaning faster than the competition. Information dominance, however, is meaningless unless it results in actionable insights, which lead to appropriate actions, at the right time and place. It’s not the ability to collect and analyze data faster; it is the ability to understand and act on it faster. Businesses that can “understand and act with speed” will dominate those that are slower.

In today’s age of hyper-digital transformation, enterprises must digitally transform and implement OILS (optimized information logistics systems) that can respond and change with self-sustaining business agility. These abilities take more than digital technologies; they require a new way of thinking, which is revealed in our data on digital leaders:

Digital leaders recognize and respond to underlying market forces, and are budgeting and planning to implement specific business strategies and digital technologies in specific sequences to maximize ROI and competitive advantage.
Digital leaders recognize the impact of digital technologies on the expectations of consumers and markets. These expectations are speeding the tempo of operations beyond human time to digital time. The demands for digital time require humans to upgrade IT environments and augment their capabilities with AI and robotic process automation (bots) to enable mass volumes of transactions to be processed in milliseconds in order to support real-time and mobile environments.
Digital leaders develop a digital doctrine and strategy to unify and guide all business and technology strategies, tactics and investments and provide a shared frame of reference across their organization.
Digital leaders are exploiting the Ax2 phenomenon. The Ax2 phenomenon enables enterprises to gain new and unique business insights earlier than their competitors, leading to competitive advantages that result from the collection and analysis of data not yet available to digital laggards.
Digital leaders identify the digital technologies they expect to have a significant impact on their businesses across the three digital transformation ages spanning 2016 to 2025. These technologies are not all created equal in their business impact, and some are still not ready for prime time, but are maturing fast. As a result, it is critical to carefully time the adoption and implementation of digital technologies in accordance with the age in which they will deliver maximum ROI and competitive advantage.

First and foremost, digital leaders understand the reality and degree of impact that digital technologies are having on their customers, and their ability to compete. They recognize the pace of change and are aligning their strategies and budgets in ways that will provide them with competitive advantage now and in the future.

Watch my latest video on digital technology trends:

Download the full report with charts and data sources here: https://www.cognizant.com/FoW/twa-hyper-digital-transformation-codex2478.pdf

Follow Kevin Benedict on Twitter @krbenedict, or read more of his articles on digital transformation strategies here:

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Kevin Benedict

Senior Analyst, Center for the Future of Work, Cognizant

View my profile on LinkedIn

Follow me on Twitter @krbenedict

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***Full Disclosure: These are my personal opinions. No company is silly enough to claim them. I am a mobility and digital transformation analyst, consultant and writer. I work with and have worked with many of the companies mentioned in my articles.

Bots for President

Presidents are powerful people facing and dealing with complex nation, market and economy sized problems. Making good decisions and managing these deeply complex systems and organizations requires massive amounts of data, analysis, experience and understanding. They must process and analyze millions of data inputs, and have a clear understanding of what the data in aggregate means, and then have an understanding of how they can influence the outcomes by pulling the right levers of power and influence to achieve their goals.

The responsibility of dealing with these massive levels of complexity seems almost inhumane. In fact, so inhumane, perhaps it would be better to not have a human, but a bot as President. Bots are designed and programmed to react in a prescribed way to data inputs. Data is fed into the artificial intelligence (AI) system within the bot, and the bot responds and takes actions as programmed. Add machine and deep learning, and the bot can learn and make decisions faster and better every nanosecond. The more data that it can access and analyze, the more accurately it can predict how pulling the levers of power and influence can change outcomes to achieve a given goal.

With a bot, the voters would vote on their preferred outcome and goals, and the associated algorithm, rather than on a personality, promise or televised debate result. If you want more jobs, a better economy, more security and peace, then vote on the particular algorithm that would give you the predictable outcome of your choice. The algorithm in the bot would take the millions of data inputs and use them to pull the levers of power and influence that deliver you, the voters’, mandate.

A bot’s administration and cabinet would be a celebration of nerds and data scientists (perhaps redundant) - responsible for finding all the possible data inputs needed to be analyzed to make the best decisions, improving deep learning systems to find patterns and hidden meaning, and identifying the appropriate levers of power and influence that could be integrated with the bot to deliver the voters’ mandate.

With a bot in office, public debates could focus on what our dreams and aspirations are for our society. Many of which are widely shared. A prosperous world that honors and supports our elders, invests in the best education, health, safety, peace, respect and renewable energies for all of us. Who doesn’t want that? We could dedicate our time to debating how best to collect the right data, improve the accuracy of data, ensure the right data is being analyzed, understanding what the data means, and then accurately identifying emerging levers of power and influence.

With a bot as President, Sunday morning news programs could spend their time debating algorithms and comparing the outcomes based on game theory and actual data results on sexy business analytic dashboards.

If you are up for a data-driven decision-making world, then Bots for President 2020!

Watch my latest 3-minute video on digital technology trends:

Download the full report with charts and data sources here: https://www.cognizant.com/FoW/twa-hyper-digital-transformation-codex2478.pdf

Follow Kevin Benedict on Twitter @krbenedict, or read more of his articles on digital transformation strategies here:

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Kevin Benedict

Senior Analyst, Center for the Future of Work, Cognizant

View my profile on LinkedIn

Follow me on Twitter @krbenedict

Subscribe to Kevin's YouTube Channel

Join the Linkedin Group Strategic Enterprise Mobility

Join the Google+ Community Mobile Enterprise Strategies

The End Game of Digital Transformation

Digital transformation requires participants to have a vision for and understanding of what they are trying to achieve and why. In fact, the lack of a clear digital strategy is the second biggest mistake companies make in digital transformation, right behind moving too slowly, according to the middle managers we surveyed. Digital strategies, however, should evolve out of a documented, enterprise-focused digital transformation “doctrine.”

The purpose of a digital transformation doctrine is to create a unified understanding of why digital transformation is needed. An organization’s doctrine should influence its strategy, its operating model and the tactics it uses to compete. A simple example of a doctrine could be:

The digital transformation of our marketplace is changing the behaviors of our customers and the nature of our competition. We must embrace and respond to these changes by creating a digitally agile business, and employing digital technologies and strategies. We will achieve transformation and information dominance by investing appropriately in an optimized information logistics system. We will restructure our organizations for business agility, speed and real-time decision-making. We will develop a culture that encourages collaboration, innovation and creativity.

The justification for the pain and stress of digital transformation is to compete at a higher level. Digitally-transformed enterprises have fully functioning “digital nervous systems” consisting of sensors, mobile devices, technology-enabled people, shared situational awareness, networked applications, automated data collection, optimized processes, advanced analytics and a centralized OILS. This system provides full visibility, in real-time, into system changes that require a response from humans and/or bots. This awareness enables leaders to make data-centric decisions and implement automated bots using AI to speed up responses to data triggers.

PG&E is a great example of a company with such a doctrine and an accompanying “digital nervous system.” PG&E supports 50 million customers with 1,500 distributed work crews managed from 67 different locations using separate software applications and databases. With this scale of customer service operations, PG&E’s pre-digital infrastructure was highly stretched and brittle. Each dispatcher’s visibility and authority was limited only to the local work crew’s schedules, which resulted in poor and inefficient resource allocation, slow responses to major events and high administrative costs. To solve these inefficiencies, PG&E redesigned its business strategy and IT infrastructure by implementing an OILS, including cybersecurity, mobile, telematics and IoT systems, and consolidating all of its dispatching and field services management into two centralized centers, which were standardized on a shared software solution for scheduling. The results: Management now has centralized control over workforce scheduling and can accurately measure work crew utilization. With these capabilities, management can move work crews between different regions for optimal efficiency; dispatch is now consolidated to two offices (from a previous 67); and the company is standardized on one solution that can be enhanced and upgraded in a uniform manner.

It's important that all participants understand not only what digital transformation is, but what it means for your business and what the endgame looks like.

Watch the 3-minute video:

Download the full report with charts and data sources here: https://www.cognizant.com/FoW/twa-hyper-digital-transformation-codex2478.pdf

Follow Kevin Benedict on Twitter @krbenedict, or read more of his articles on digital transformation strategies here:

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Kevin Benedict

Senior Analyst, Center for the Future of Work, Cognizant

View my profile on LinkedIn

Follow me on Twitter @krbenedict

Subscribe to Kevin's YouTube Channel

Join the Linkedin Group Strategic Enterprise Mobility

Join the Google+ Community Mobile Enterprise Strategies

The 3 Tsunamis of Digital Transformation - Be Prepared

Change is hard, and many of us procrastinate, make excuses or lag behind. Today, we simply can’t. Digital technologies are no longer “nice-to-have” tools of the business – today they are the business. Digital laggards are already finding their markets disrupted and their abilities to compete overturned. As they desperately try to outrun the Darwinian effect of their slow responses, they are faced with not one but three periods – or ages – of digital transformation to navigate – disruptive transformation, hyper-digital transformation and ubiquitous transformation. Understanding these three ages, and when they will emerge, is critical for business success.

Some may argue digital transformation started 70 years ago with ENIAC, the first commercially available computer, while others argue it started with the Internet. Whenever the starting point actually was, we can all agree that the proliferation of digital over the last five years has brought unprecedented personal and business disruption.

The age of disruptive transformation introduced eight specific technologies that disrupted traditional business operations and IT infrastructures, and are having a “large to very large” business impact on at least one-quarter of the digital leaders in our survey:

Cybersecurity (59%) 
Big data/business analytics (54%)
Mobile technologies (40%) 
Cloud computing (32%)
Social media (31%)
Collaboration technologies (26%)
IoT/sensors (26%)
Biotechnology (25%)

These eight technologies are data-centric – they are all about producing, managing, analyzing, securing and storing data in new and innovative ways, and then acting on it. With the exception of biotechnology, these digital technologies are critical components of OILS, and profoundly impact business strategies, business processes and human interactions.

These digital technologies – which should already be implemented and scaling to have an impact on your organization – now serve as the foundation for the next two periods of digital transformation. If these top eight digital technologies are not already in place within your IT infrastructure, the current age of hyper-digital transformation will threaten your company’s very existence.

During the second period of digital-related change – the age of hyper-digital transformation – the pace of change and the business impact of digital technologies greatly accelerate. The eight top technologies from the previous era will rapidly increase their business impact by an average of 74% among digital leaders by 2020. This increase is a sign of the enormity of the forces at work, the size of investments needed, and the cadence at which organizations need to adapt to stay relevant and competitive.

In the age of hyper-digital transformation, nine additional, incremental digital technologies join the eight from the previous age. These nine start with a relatively low level of importance today but increase by an average of 145% among digital leaders by the year 2020. These nine additional digital technologies reach the threshold of having an “important to very important” business impact among at least one-fourth of digital leaders:

Telepresence (Skype, Google Hangouts, etc.) (49%)
Digital currency (49%)
Artificial intelligence (46%)
Robotic process automation (software) (41%)
Sharing economy platforms like Uber (39%)
Nanotechnologies (35%)
Robots (hardware) (33%)
Telematics (29%)
Wearables (28%)

When combined, these seventeen digital technologies increase their business impact among digital leaders by an average of 112% between 2016 and 2020. The predicted business impact of these digital technologies mean that the business and IT organizations you operate today will need to look very different by 2020 in order to keep up and compete successfully.

Retail is considered a canary in the coalmine for many other industries. As such, when retail giants begin to fail, it is important to pay attention and heed the warning signs. Retail giant Sports Authority led for bankruptcy in March 2016, and according to many analysts, this was due in large part to the company’s slow response to online and mobile competition. In May 2016, Aeropostale led for bankruptcy, and according to analysts, it couldn’t keep up with fast-changing consumer behaviors and the speed of emerging fashion trends at the same rate as their online competitors. Also in May2016, the UK-based BHS entered administration (i.e., led for bankruptcy), and according to reports, the company had fallen far behind its digital competitors and fast-changing consumer trends.

The consensus among retail analysts is these companies failed to digitally transform quickly enough, which resulted in lost ground to more tech-savvy competitors.

In the final period of the digital transformation trilogy – the age of ubiquitous transformation in the year 2025 – our research finds the business impact of the previous age slowing as companies work to digest the incredible change of the two previous ages. However, even in this more pedestrian age, respondents expect an impressive 35% increase in the business impact of digital technologies.

In this era, six new technologies mature and join the previous seventeen, all of which are now having a “large to very large” business impact on the organizations at the forefront of digital change:

Blockchain (43%)
Geospatial information systems (41%)
3-D printing (40%)
Virtual reality (39%)
Autonomous self-driving cars (34%)
Drones (33%).

Among digital leaders, these six digital technologies are expected to increase their business impact an average of 96% between 2020 and 2025.

These six additional data-driven technologies are at once foundational and revolutionary. They highlight dramatic changes to come in industries such as transportation, banking, finance and commerce and manufacturing, all made possible by the digital transformations that preceded them.

Timing is everything, and the correct sequencing of technology implementation and budgeting, from proof of concept through implementation of production-ready systems, is critical. Our list of 23 digital technologies, their maturity timeframes and projected business impact (posited by our respondents) are powerful tools to plan your organization’s digital transformation strategy.

Watch the 3-minute video:

Download the full report with charts and data sources here: https://www.cognizant.com/FoW/twa-hyper-digital-transformation-codex2478.pdf

Follow Kevin Benedict on Twitter @krbenedict, or read more of his articles on digital transformation strategies here:

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Kevin Benedict

Senior Analyst, Center for the Future of Work, Cognizant

View my profile on LinkedIn

Follow me on Twitter @krbenedict

Subscribe to Kevin's YouTube Channel

Join the Linkedin Group Strategic Enterprise Mobility

Join the Google+ Community Mobile Enterprise Strategies

Robots, AI and the Next 40 Months

In a world that operates on billions of digits every day, humans are too slow and inattentive. To adapt, we must automate the processing of millions of complex transactions on a daily basis, at speeds fast enough to satisfy impatient digital users. This adaptation requires a massive level of digital transformation that can support operations, business processes and decision-making speeds faster than is humanly possible.

Historically, digital technologies get faster, cheaper, more powerful and smaller every couple of years. We humans, however, don’t. We operate in human time, a biological cadence influenced by the physical environment, our well-documented physical, mental and emotional limitations, and the universe that we live in. As digital interactions proliferate, so also does the volume of real-time data and required analysis. Most people are already at their limit of coping with the deluge of data, so we must now digitally augment our capabilities to handle the massive increases in the volume, speed and the complexity of it. These augmentations will involve OILS (optimized information logistics systems), supported by artificial intelligence (AI) and software for process automation.

Software robots (or “bots”) can be developed to analyze vast quantities of data without getting bored, make decisions based on codified decision trees that humans design, and then act in milliseconds. In our research, 18% of digital leaders report intelligent process automation via bots is already having a large to very large impact on their businesses, however, it jumps to 41% by 2020. This represents a dramatic increase of 128% in just 40 months.

We – humans – already at our limit, must find a way to digitally augment our capabilities to handle the massive increases in the volume, speed and the complexity of data with bots.

Slow service annoys us. We are immediately frustrated with people and brands incapable of supporting our digital habits and expectations. To achieve a real-time operational tempo, companies must evolve from "human time" to "digital time." When enterprises can support digital time, they can close process loops faster, harness immediate feedback on what’s happening within the process itself, and act on those insights nearly instantaneously. The result: smarter decisions that enable businesses to operate like never before.

One of the biggest challenges enterprises face today in designing, developing and deploying OILS is upgrading core IT systems that frequently comprise of legacy systems incapable of supporting digital time. Though this is hard work, it is the key to winning.

Our research clearly shows widespread consensus that AI is one of the most important emerging technologies that will help overcome many of these technology and human limitations. Our survey respondents predict AI will be the top digital technology, with the largest impact on their work, by 2020. Currently, only 15% of the respondents think AI is having a large impact on their business. In the next 40 months, however, 46% believe AI will be critical – that’s a 207% increase in pro-AI sentiment.

Digital interactions are often supported by AI systems dependent on real-time analytics to provide contextually relevant and personalized experiences. In addition, as the number of mobile and connected devices with billions of connected sensors increases, so also does the associated data in the ether that needs to be analyzed and turned into actionable intelligence that can be used by AI systems to deliver real-time business value. No wonder, then, that executives in our research forecast big data/business analytics will have the biggest impact of all technologies between the years 2020-2025.

Download the full report for free here.

Watch the report video here.

Follow Kevin Benedict on Twitter @krbenedict, or read more of his articles on digital transformation strategies here:

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Kevin Benedict

Senior Analyst, Center for the Future of Work, Cognizant

View my profile on LinkedIn

Follow me on Twitter @krbenedict

Subscribe to Kevin's YouTube Channel

Join the Linkedin Group Strategic Enterprise Mobility

Join the Google+ Community Mobile Enterprise Strategies

Kevin Benedict Ponders the Future

How Digital Leaders are Different

Bots for President

The End Game of Digital Transformation

The 3 Tsunamis of Digital Transformation - Be Prepared

Robots, AI and the Next 40 Months

Interviews with Kevin Benedict

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