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Category: Technology

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Best Practices Growth Management Skills Technology

Turn Cognitive Challenges into Opportunities With Technology Built the Way You Think

By Daniel Burrus and Neil Smith

(In this blog series on how elevating cognitive performance is a game changer for organizations, I’ve invited Neil Smith, CTO at Think Outcomes, to join me in writing on this important topic due to his expertise and the cognitive performance software his firm has created.)

Technology can function as a key enabler for higher cognitive performance. Technology is as important for cognitive roles as it is for transactional ones, since cognitive work in organizations drives transactional tasks. With performance gains realized through transaction management software, the next game changer is to evolve the cognitive infrastructure in the operating model.

While machines learn, disrupt and occupy the defined and known cognitive tasks of humans across industries, technologies to advance cognitive performance in the mind and with teams have remained relatively stagnant to move uncertainties into higher certainty frameworks.

Professionals utilize many technologies in their cognitive work everyday, but were not built to advance their cognitive performance. These every day technologies include:

  • spreadsheets
  • presentation software
  • documents

The Tools Leaders use for Critical Thinking in your Organization Today

All too often, critical thinking runs through spreadsheets. You may be surprised to discover the collage of spreadsheets your enterprise utilizes in its operating model — hundreds and thousands of spreadsheets (depending on the size of your business).

With spreadsheets, it’s challenging to arrive at informed decisions with 85%+ effectiveness. It’s also challenging to manage future uncertainties with 50%+ effectiveness.

How Leaders Communicate with Stakeholders in your Organization Today

Beyond their voices, leaders and managers communicate with stakeholders primarily through multipurpose presentation software. A tremendous amount of time, money and effort is expended to build presentations as snapshots in time for stakeholders. Presentations to equity investors, lenders, internal management, operations teams and supply chain partners, among many others, do not provide a framework for dynamic communications that shape the thinking in the minds of your stakeholders. Their questions are all too often unresolved during meetings, which delay decisions. When additional meetings are scheduled, you resolve the initial questions from stakeholders without a clear understanding of the impact on outcomes.

Presentation software makes it challenging to communicate perspective and address stakeholder concerns in real time with 90% effectiveness.

How Stakeholder Expectations are Conveyed in your Organization Today

Professionals primarily express their expectations verbally. They also write them in reference documents that are accessed infrequently, such as job descriptions, performance reviews, supplier agreements and annual reports, to name a few.

As documents are not actionable frameworks, it’s challenging to achieve expectations in dependent thinking with 85%+ effectiveness.

Imagine if the Stock Market Operated the Way Business Operates Today

The stock graph transforms how you synthesize information in your mind to arrive at informed decisions. Let’s go back to the time when you couldn’t visualize stock graphs for your decisions. Before stock graphs existed, imagine you met with your wealth advisor who expected you to make decisions to invest your monies and said:

I’m glad you are interested in investing in the market. We have over 10,000 companies in our exchange. To help you make an informed decision, I’ll introduce you to the analysts; there are hundreds of them. Each of them will show you their spreadsheets. Then each will walk you through your options via presentations, while attempting to answer all your questions. I thought you’d want to know this will take time because the analysts structure their spreadsheets their own way; there isn’t any consistency between them. Nor is there consistency among their presentations. After you synthesize all this information in your mind, you should be in a position to arrive at an informed decision about how to best invest your monies.

If decision processes for investors worked that way, individuals could not make high-fidelity decisions effectively. They’d be attending a lot of meetings to gain insight. As a result, many stocks wouldn’t have performed as well and many portfolios wouldn’t have grown. Nor would have the market evolved as it has.

Yet this is Exactly How Decision Processes in Business Work Today

As executives continue to invest in their transactional operations over decades, it’s time they prioritize and invest in their cognitive operations. The technology in the transactional operations is far ahead of the technology in the cognitive operations. Yet the cognitive operations drive activity in the transactional operations.

Is ‘Being Human’ Enough Today in the Cognitive Era?

Historic methods to advance critical thinking and stakeholder communications using human mental models, past experiences, personal networks and fundamental analytics are no longer enough in today’s business world. As machines increasingly coexist with humans, anticipatory tools and advanced performance analytics are needed to survive, differentiate and grow businesses and their professionals.

Learn how to elevate your planning, accelerate innovation and transform results with The Anticipatory Leader System and how to maximize the cognitive performance of your team with Cognitive Performance Software.

Categories
Best Practices Growth Management Skills Technology

Elevate Cognitive Performance

By Daniel Burrus and Neil Smith

(In this blog series on how elevating cognitive performance is a game changer for organizations, I’ve invited Neil Smith, CTO at Think Outcomes, to join me in writing on this important topic due to his expertise and the cognitive performance software his firm has created.)

Improving cognitive performance is a strategic imperative for anticipatory leaders. With the availability of data, cognitive technology and performance analytics, stakeholders expect stronger performance, higher transparency, greater controls and clearer communications.

Performance Analytics for Cognitive Work

The transactional operations of an organization have demonstrated how people, process, technology, information and analytics can transform their processes and improve performance before, during and after a customer transaction. A key area that is ripe for improvement is the cognitive operations of an organization where the same principles involving the mind, cognitive processes, cognitive performance technology and performance analytics can transform critical thinking and stakeholder communications.

Cognitive Performance Rings

Business professionals are similar to athletes. Both groups seek to achieve greatness from their actions and get to the top of their game. LeBron James in the NBA, Serena Williams in tennis and Usain Bolt in running at the Olympic Games are all recognized for their individual achievements and team play. They didn’t just arrive. They work every day to close their own performance rings on their journey to greater precision in their craft. The same is possible for professionals. They need to not only outthink their competitors, they need to outperform themselves because they know their last performance is their last impression. Their performance is their memorable stamp on their organization and their industry.

Cognitive performance rings illustrate current and expected effectiveness in cognitive performance.

The activities performed in the minds of critical thinkers, decision makers and stakeholders are represented through cognitive performance rings in the eight performance indicators of cognitive effectiveness below.

From decades of experiences, we recognized the effectiveness of cognitive work across a wide variety of professionals in business, which are shown in the cognitive performance rings below.  Each performance ring illustrates indicators for the common ranges of current effectiveness along with their expected effectiveness.

When reviewing each performance ring, think about where your teams stand with respect to their cognitive effectiveness. Then prioritize which performance rings are important to you and your organization at this time to help it learn, grow and compete more effectively.

Eight Performance Indicators of Cognitive Effectiveness

How well is your team doing?

Performance indicator 1 — Critical Thinking

How well does your team think critically about risks and benefits?
‘Most people believe their minds lead them down a logical path. Yet, we don’t have a way to challenge the way we think in the moment.

Performance indicator 2 — Stakeholder Communications

How well does your team advance decisions with stakeholders?
‘Our stakeholders increasingly need evidence in a structured way that supports their perspectives and their questions. We don’t have a structured operating process to bring stakeholders into the decision making process easily.’

Performance indicator 3 — Cognitive Collaboration

How well does your team achieve breakthroughs during collaboration?
‘In our meetings, we can’t visualize what’s in each other’s heads. Our current processes don’t provide us a way to arrive at insights and foresights with the amount of time we have together. Frankly, it’s a challenge during this time of expected innovation.’

Performance indicator 4 — Decision Execution

How well does your team execute decisions with foresight?
‘We over rely on our gut instincts. We learn from hindsight. It’s concerning to us because change is no longer constant. It’s accelerating. We need a way to become more anticipatory.’

Performance indicator 5 — Performance Conditions

How well does your team establish upper and lower thresholds for thinking and communications?
‘We don’t share thresholds enough. When we do, we share thresholds verbally and in documents. The only way we shape the cognitive behaviors across our teams is through our review processes by management. This approach affects our culture and we don’t know how to address it.’

Performance indicator 6 — Performance Compliance

How well does your team incorporate performance conditions during thinking and communications?
‘The goals and objectives of our stakeholders aren’t transparent for our team. When we do receive them, we incorporate conditions we remember. We need a systematized way to incorporate conditions into our cognitive work.’

Performance indicator 7 — Uncertainty Monitoring

How well does your team anticipate disruption?
‘We don’t anticipate disruption enough. We are susceptible to external forces as we don’t monitor indicators that can disrupt our business.’

Performance indicator 8 — Performance Advisory

How well does your team strengthen the performance of other teams?
‘We try to lead from experience. Yet, we can’t dedicate the amount of time necessary to accelerate the growth of each individual. We need to provide a way to help them self-learn and deepen their intelligence even more. That would help all of us.’

The performance yield of each ring begins with questions of uncertainty that span outcomes, impact, risk, opportunity, implications, consequences, causation or cause and effect. Performance yields arise from insights and strategic foresights in the minds of professionals. With dashboards presented the way their minds work, professionals lean in and think more deeply about situations. As they access correlated data at the speed of thought, they create performance analytics that challenge the way they think about their current situations. When they visualize indicators and patterns within dashboards about the current and target states of their subject profiles, they work in a software environment to engage their thinking, create their ah-ha moments and generate counterintuitive wisdom.

Tom Brady was selected 199th in the NFL draft by the New England Patriots and became the most decorated quarterback in history. All professionals have an opportunity for greatness. Beyond the physical game, it starts with their cognitive tools.

Learn how to elevate your planning, accelerate innovation and transform results with The Anticipatory Learning System and how to maximize the cognitive performance of your team with Cognitive Performance Software.

Digital transformation has divided us all into two camps: the disruptor and the disrupted. The Anticipatory Organization gives you the tools you need to see disruption before it happens, allowing you to turn change into advantage. Pick up a copy today at www.TheAOBook.com.

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Best Practices Growth Industries Management Skills Technology

Eliminate Cognitive Friction to Maximize Human Performance

By Daniel Burrus and Neil Smith

(In this blog series on how elevating cognitive performance is a game changer for organizations, I’ve invited Neil Smith, CTO at Think Outcomes, to join me in writing on this important topic due to his expertise and the cognitive performance software his firm has created.)

Improving cognitive performance is a strategic imperative for anticipatory leaders. Yet, cognitive performance slows down due to cognitive friction. Cognitive friction occurs when professionals can’t think through uncertainties clearly in their minds. These uncertainties include:

  1. Risks
  2. Opportunities
  3. Outcomes
  4. Consequences
  5. Implications
  6. Impact
  7. Causations
  8. Causes and effects

In an organization, cognitive friction occurs frequently across many professional roles, minds and perspectives. For the 15 areas in a cognitive operation below, cognitive friction not only spans many responsibilities, it also impacts relationships and shapes cultures.

15 Areas of a Cognitive Operation

Cognitive Friction Across Perspectives

Cognitive friction occurs when two or more professionals are challenged to get on the same page. They must resolve their perspectives — which can be very challenging. In business, professionals:

  • Perform critical thinking
  • Make decisions
  • Communicate with stakeholders
  • Collaborate with other professionals
  • React to uncertainties
  • Work with peers and stakeholders to address situational challenges
  • Advise other professionals about their cognitive work
  • Evaluate the thoroughness to think through situations in the minds of their thinkers
  • Review the risk-reward trade-offs among their team members

Cognitive Friction Within the Mind of a Professional

Cognitive friction exists within the minds of professionals and creates undue stress. The six reasons friction occurs is due to:

  1. The processing limitations in the mind
  2. Ineffective communications
  3. Unproductive collaborations
  4. Uncertainties in their minds
  5. Lack of cognitive insights and foresights
  6. Bias that leads to cognitive divisiveness


Processing Limitations in the Mind

When processing multiple data points in the mind, cognitive work can become a highly stressful activity. It’s amazing how many leaders are not equipped with cognitive tools to manage uncertainty across situations, close their knowledge gaps and achieve expected results. When a situation includes more than seven variables, it’s well-known that the human mind is not able to process this level of complexity. Think how we receive, process and remember phone numbers. Our minds are not wired to synthesize 10 or more digits at a time. In the U.S., people think about the 10 digits in a pattern of a 3-digit area code, a 3-digit prefix and 4-digits for the line number; our minds consume, process and recall smaller chunks of information.

Try this exercise in your mind to see how complexity increases quickly: spin all the digits of five phone numbers in your mind as if the numbers were on a slot machine. Can you keep track of the numbers? Most of us cannot; our minds get overwhelmed right away.

When multiple changing variables exist, that’s the type of stress professionals experience every day in their minds as they perform their risk-reward trade-offs. Without additional cognitive capabilities, leaders turn to their gut as a place to find answers; often, though, the gut isn’t a very good logic engine. Operating risk is introduced when critical thinkers and decision makers do not have access to complementary, cognitive tools to perform their cognitive activities at their best.

Effective Communications Accelerate Buy-in and Decisions

The challenges increase further for critical thinkers and decision makers when they communicate with their stakeholders, peers and dependents to gain agreement about multiple, interdependent variables. These heterogeneous thinkers add new perspectives to the decision process, which increases the complexity.

That’s when members of decision teams communicate from their emotional viewpoints. Decisions stall, lasting impressions impact culture and relationships, and people experience an impasse.

Productive Collaborations are Needed to Achieve Better Outcomes

Google Hangouts, Skype and Zoom represent a step forward in collaboration and reduce travel costs. Yet, as professionals move between face-to-face and online meetings, they still struggle to innovate with breakthrough thinking.

Often, we hear professionals say, “if I could see what’s in the minds of the people I’m working with, that would help me address the challenges I’m aware of, too.” Yet, given human limitations, most professionals can’t bridge that gap effectively. If meetings involved the ability to demonstrate thinking patterns, that would help professionals overcome this human hurdle.

As professionals join meetings, they commonly bring their mental models and biases from years of experience. Their mental models create barriers to synthesizing other people’s perspectives as well as new ways of thinking into their own thinking. Where they use their voices and presentation software to convey their thinking, most attendees try to follow the logic rather than elevate their own thinking. If they had a way to unify their thinking through the visualization of evidence that focused on addressing questions of uncertainty and their critical thoughts, they’d optimize their time, learn to pre-solve issues and focus on better outcomes together. That would advance productivity in thinking in a visual way.

When professionals conclude their meetings with follow-on questions, leaders wonder which questions weren’t brought up? Are their teams going down the wrong paths? How do these questions connect to the stakeholders’ objectives? Are they considering the Hard Trends based on future facts that are shaping the future? Professionals expend valuable time to get to clarity as they reflect on their learnings when they need insights and foresights more quickly. Anticipatory leaders seek to institute advanced collaboration processes that yield greater productivity among their teams. They see everyday innovation and breakthrough thinking as a competitive advantage today as well as tomorrow.

Uncertainties, Cognitive Insights and Foresights

As connected teams in today’s data-driven world, data scientists and stakeholders strive for better outcomes together. Where data scientists focus on big data and use machine learning to ask questions about data, stakeholders focus on decision information and ask questions to solve situational challenges. The minds of stakeholders are as effective as the:

  1. Quality of their questions to resolve their problems and uncertainties
  2. Cognitive insights and foresights that arise from their mental models

Bias and Cognitive Divisiveness

In the minds of professionals, cognitive friction results from their cognitive biases and the synthesis of disparate data. Cognitive divisiveness exists among professionals as data synthesis and bias differ across perspectives. Cognitive friction and divisiveness affect velocity and outcomes.

In their roles, professionals:

  • Are often unable to access data structured the way they think about risk-reward trade-offs
  • Don’t know what they don’t know during decision making
  • Are challenged many times to demonstrate their points of view
  • Are frequently challenged to see alternative points of view during communications
  • Struggle to shape the thinking of team members due to predefined mental models
  • Are challenged to arrive at strategic foresights and engineer outcomes

A Critical Thinking Advantage

To gain an advantage in today’s world, cognitive teams must pre-solve issues through a continuous flow of cognitive insights and foresights. To achieve their objectives, they must find new wisdom within the cognitive gaps in their minds — i.e., to get from “here” to “there.” “Here” is where they are today in context to their cognitive responsibilities. “There” is where they need to go. This cognitive gap represents their current state and target state of their subject profiles. Their stakeholders depend on actionable knowledge and wisdom from their team of thinkers to improve business results. This starts with the capabilities of their cognitive resources and tools.

Learn how to elevate your planning, accelerate innovation and transform results with The Anticipatory Learning System and how to maximize the cognitive performance of your team with Cognitive Performance Software.

Categories
Best Practices Growth Personal Development Technology

A Strategic Imperative for Anticipatory Leaders Is Cognitive Performance

By Daniel Burrus and Neil Smith

(In this blog series on how elevating cognitive performance is a game changer for organizations, I’ve invited Neil Smith, CTO at Think Outcomes, to join me in writing on this important topic due to his expertise and the cognitive performance software his firm has created.)

AI and cognitive computing have grabbed headlines. Yet, anticipatory leaders know that the elevation of cognitive performance among teams is key to maximize results. Leaders need to help their teams of professionals improve how they envision opportunities, manage downside risks and achieve greater results. Cognitive computing has to do more than deliver data-driven insights to their minds. It must help teams shape outcomes, act on implications and professionalize role-based, cerebral processes in the form of software processes. That’s where cognitive performance is front and center.

Cognitive performance involves how well professionals perform their cognitive work. Specifically, how they:

  • Establish vision
  • Identify problems
  • Ask questions of uncertainty
  • Arrive at critical thoughts
  • Analyze situations
  • Synthesize information
  • Reason
  • Judge
  • Solve problems
  • Communicate
  • Collaborate
  • Define follow-on actions

They perform these cerebral activities with their thoughts and their communications. These mini processes in their minds are nondeterministic and lead to decisions within organizations. As machine learning and deep learning move into organizations, professionals who want to increase their cognitive performance must step up their game at the same time. They must center their attention on addressing uncertainties and advance their abilities to identify and create greater certainty. In doing so, they must raise their levels of quality in decision-making processes and stakeholder communication processes that take place in their minds. Their stakeholders, customers, suppliers, employees and their industries depend on it. The status quo of gut-based decision making and misunderstandings among viewpoints leads to operational inefficiencies and monetary waste in downstream activities.

Change is accelerating in business, which creates more uncertainties that find their way into enterprises across all functional responsibilities — in strategies, integration, operations, supply chains, human resources, research, engineering, finance, process management, product management and consulting, to name a few. Today, cognitive performance is based on role-based experience, learning, frequency, recency and luck — all of which vary from role to role and person to person.

The cognitive activities in the minds of professionals are ripe for optimization. Optimization is possible by learning anticipatory skills and applying cognitive performance technologies.

The human mind is limited when it is engaged to:

  • Structure decision data
  • Process situational information
  • Store organized knowledge
  • Recall situations with specificity
  • Understand alternative viewpoints
  • Engineer outcomes with greater clarity

Although these are human limitations, the mind is extendable through the use of computing, which does a very good job of augmenting the mind for these activities. In today’s era of cognitive computing, the human mind can benefit from a digital extension to achieve the cognitive capabilities it cannot — and does not — realize on its own.

At work, professionals who think for a living formulate how to execute their work in their minds. They’ve built their cognitive expertise over time through on-the-job experiences and homegrown cerebral processes.

Business operations are both transactional and cognitive

Before transactional software systems codified the operating processes of transactional work into the business infrastructure – i.e., ERP, SCM and CRM processes – organizations created homegrown processes and systems to manage their transactional operations. ERP, SCM and CRM systems optimized task-oriented processes before, during and after a customer transaction within organizations, in supply chains and in demand chains. As a result, the transactional side of the operating model has become relatively frictionless.

Today’s friction exists within the minds of professionals on the cognitive side of the operating model. A key to future success is to eliminate this friction. That’s where anticipatory skills, combined with cognitive performance software, comes into play.

Learn how to elevate your planning, accelerate innovation and transform results with The Anticipatory Learning System and how to maximize the cognitive performance of your team with Cognitive Performance Software.

Categories
Best Practices Growth Management Skills Technology

Cognitive Performance — The Human Side of Cognitive Computing

By Daniel Burrus and Neil Smith

(In this blog series on how elevating cognitive performance is a game changer for organizations, I’ve invited Neil Smith, CTO at Think Outcomes, to join me in writing on this important topic due to his expertise and the cognitive performance software his firm has created.)

As a leader, your responsibilities exist on the cognitive side of your business, where you think critically, make complex decisions, collaborate among your network, communicate with your stakeholders, comply with regulations and monitor uncertainties, to name a few. These activities represent your cognitive work. Given today’s rapid growth in organizations using AI, you are most likely exploring the current state of cognitive computing and how it can help you with your responsibilities beyond the collection, storage and retrieval of data through computers as data appliances. You are also considering how the highly marketed definitions of cognitive computing from IBM Watson can help you?

How cognitive performance computing can help you as a critical thinker in business  

As we meet with leaders in business, management consulting and government around the globe, they, too, are wondering how they can leverage cognitive computing for their work.

These professionals occupy roles in the cognitive operations of their organizations, where there is a constant set of unknowns. Senior executives are responsible for closing their gaps in knowledge about the future state of their businesses. Trusted advisors must do the same for their clients. As standard setters must set guidelines as best practices, regulators create the laws that require cognitive compliance from organizational leaders. The next evolution of cognitive computing addresses their cognitive responsibilities — i.e., helping executives and management consultants work through their risk-reward trade-offs in context to situational context and criteria, while standard setters and regulators build the required thresholds into the thinking of organizational leaders. This segment of cognitive computing is known as cognitive performance. Enhancing cognitive performance improves critical thinking, stakeholder communications, decision making, advisory collaboration, monitoring of uncertainties and cognitive compliance. Cognitive performance software extends the human mind with computing to help humans learn, compete and grow the impact of their own intellects.

Leverage cognitive computing for what your mind can’t do

Where machines continue to learn role-based tasks, it’s necessary for humans to work in harmony with machines to better navigate through areas of complexity and uncertainty. For business to advance, enhancing human performance needs to be a strategic imperative for business executives rather than accepting the status quo. With stronger human performance, culture will transform with faster cognitive insights and foresights to create an environment of deeper human learning. Without higher performance from our minds, we’re all operating the same way — figuring out situations on our own in a sequential order and learning from hindsight. Computers, available data and applying the four pillars of the Anticipatory Model will help us learn with foresight. To compete in industry today, we need cognitive computing to do more for our minds than provide data-driven insights. We need cognitive computing to assist the cerebral processing in our minds, help us gain perspective and put us in a position to make high-fidelity decisions. The human computers on top of our shoulders need turbochargers. As visual learners, wouldn’t it be great if we made our thoughts visual through thinking patterns to make the most of our risk-reward trade-offs! That would change the velocity of decision making and stakeholder communications! To move the needle much further in business requires a focus on the performance of human minds across teams — from senior executives and mid-level managers in business to those in their supply chains, consulting circles, insurance relationships, investor partnerships and professionals across the sciences, among others. Enhancing cognitive performance needs to be a strategic imperative to gain a competitive advantage.

Improve reasoning and judgment

Professionals know they rely on instinct and gut reactions all too often. Their ability to process information in their minds or to understand someone else’s viewpoint is often challenging. It’s a human limitation, and that’s where responsibility-based computing can help. The batting averages of professionals in reasoning and judgment must improve in today’s business world. The cognitive era is the time to break through these limitations and leverage computing to extend the capabilities of our minds.

Digital advancement in cognitive performance

Many teams responsible for operating processes on the transactional side of their businesses are now involved in digital transformation. They are automating their manual activities using AI, question-answering systems, big data and other software. Within the cognitive side of their businesses, the cognitive operating processes are ready to digitally advance as well. Those who spend time prioritizing and enhancing the cognitive performance of their teams will leapfrog their competitors as they will strengthen human performance.

The benefits of exponential advances in computing must now be applied to human performance. There’s a long, bright road ahead for the performance of the human mind. We’re just at the beginning.

Learn how to elevate your planning, accelerate innovation and transform results with The Anticipatory Learning System and how to maximize the cognitive performance of your team with Cognitive Performance Software.

Categories
Marketing Personal Development Sales Technology

Boosting the Shopping Experience

Estimates hold that more data will be produced in 2018 than in all years previously. Much of that is consumer-focused—what we buy, how we buy it and why we buy it, among other information.

Thanks to the leverage and insight afforded by big data analytics, retailers of all sorts have the ability to enjoy an enormous opportunity to better focus and improve their customers’ overall shopping experience.

Big data analytics can now be used at every stage of the retail process, including identifying consumer trends, forecasting demand, pricing and pinpointing the most efficient means of delivery. That’s a proactive form of decision making, one of the benchmarks of my Anticipatory Organization Model.

That’s also good news for both shoppers and the organizations that serve them. Here are just a few areas in which data analytics is crafting a more rewarding shopping environment for everyone.

Product Recommendations

Most every Internet shopper has experienced “If you like this, consider this” and other similar pitches based on buying history and preferences. But, advances in data analysis and other related forms of technology hold the promise of more interactive, personalized forms of shopping guidance and suggestions. For instance, clothing retailer The North Face now offers an online tool called Fluid Expert Personal Shopper. The system, which uses IBM’s Watson cognitive computer technology, employs a “personal shopper” that can ask consumers questions about gender, location and even the sort of weather conditions where the clothing will be worn. From there, the system can provide specific recommendations.

Although still in an initial, limited stage, programs such as Fluid Expert Personal Shopper hold the potential for an even more comprehensive and useful customer experience. For instance, Watson is now using additional data to develop a “sentiment analysis” feature, which will allow systems to gauge changes in customer moods to better manage interactions with consumers. In effect, shopping systems will be able to interpret in an intuitive manner whether customers are pleased with a purchase, dissatisfied or interested in some other item.

More Useful, More Focused Apps

An increasing number of retailers are using mobile apps as a means to improve in-store shopping experiences and better interaction with store employees. That can begin well before a customer arrives at the store itself. For instance, retailer Nordstrom’s mobile app allows customers to check details such as product availability, size and color before they visit a Nordstrom store. The system also offers personalized recommendations based on gathered customer data. Customers who opt in can also have their profiles—including purchase histories—forwarded to in-store salespeople when they enter a store so they can receive immediate, personalized service.

In another example, Target’s mobile app leverages product location data, a store’s physical layout and customer profiles to offer personalized promotions to customers as they shop in-store. To that end, the company has begun installing beaconing technology at dozens of locations to gather movement and shopping pattern data from customers who agree to be monitored. This, in turn, promises to help customers not only make better buying decisions but to do so more efficiently instead of wandering up and down aisles in search of a particular item.

Greater Delivery Choices

The convenience of mobile Internet-based shopping has afforded consumers a greater range of control over not only when they shop but also where and when they receive items they buy. Locational data provided by the proliferation of smartphones takes that level of convenience and specificity to a completely new level. In one respect, that opens up the possibility that items can be delivered to customers wherever they happen to be—at home, on the job, at a restaurant having lunch and at any number of other locations.

Alternatively, by leveraging geolocation data, companies can also immediately notify shoppers when purchased goods have been dropped off at their homes or other spots. Not only does that lessen the chance of a delivery being missed, but time-sensitive deliveries—such as a gift that the buyer wants to keep secret from a family member—become that much easier to manage.

Consumer data isn’t limited to information about a particular shopper. Big data analytics allows organizations of all sorts to apply that information to make shopping more enjoyable, efficient and customer-focused for a broad range of consumers.

Ready to see the future and plan with greater confidence? Subscribe to my publication, The Technotrends Newsletter, now in its 35th year, and join thousands of leaders who have accelerated innovation and results by applying the principles I teach in my award-winning Anticipatory Organization Learning System.

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Best Practices Growth Management Personal Development Technology

Four Big Brands Blindsided by Accelerated Change

It’s one of life’s universal lessons: Look both ways before crossing the street. Parents have been impressing its importance on every generation since Henry Ford tinkered with the internal combustion engine. However, many of us forgot that good advice, or assumed it didn’t apply, when crossing from one decade of business into the next.

From the 1970s into the 1980s, 1990s and 2000s, the prevailing assumption was that the future would be relatively similar to the past, and that major changes only took place over long stretches of time, which provided plenty of leeway to adjust.

We stepped off the curb, looking straight ahead—and wham! Individuals and organizations were blindsided by massive changes. It happened to big companies like IBM, Motorola, Research In Motion, Sears and countless others.

Four Big Brands That Were Blindsided

IBM. The original computer giant was late to act on the Hard Trends shaping the future of computing and missed the huge need for personal computers, entering the market late. Then in 2005, IBM sold its personal computer portfolio of products, including the popular ThinkPad brand, to Lenovo, which is now the world’s largest personal computing vendor. IBM was also late to embrace the Hard Trends of increasing use of mobility and the cloud.

Motorola. Similarly, the historic telecommunications company failed to anticipate exponential changes of the early 21st century, though it had many telecom firsts—first car radio, first handheld mobile phones in the early 1970s and the first smartphone using the Google Android OS. Unfortunately, the Motorola Mobility branch relied on being Agile, reacting after a disruption occurs, while leading companies were Anticipatory, using Hard Trends to see the future first and jump ahead and stay there.

Research In Motion. The company’s BlackBerry was the undisputed leader in business mobility, with a highly usable mini keyboard and tight integration of mobile email and calendar functionality. When Apple released the first iPhone, Research In Motion’s leadership failed to see the new future Apple had enabled and focused instead on making improvements instead of embracing the Hard Trends that were shaping the future of mobility and taking its loyal user base into the smartphone future.

Sears. Widely considered the first “everything” store, Sears had a winning business strategy: a notoriously large selection of goods in a catalog that was mailed to just about everyone. Products that were ordered were delivered right to the customer’s home. Like many big brands blindsided by game-changing Hard Trends followed by disruptive innovation, Sears didn’t see how serious competition had become—for both brick and mortars like Walmart and online-only retailer Amazon. Their past success and organizational ego limited their view of the future.

Based on these and other painful experiences, the prevailing assumption was dramatically adjusted: Change is speeding up—get used to it. But then with each passing decade, crossing the street of change became an exercise in advanced risk analysis. Dodging oncoming traffic was the name of the game.

Seeing Change Is Only Part of the Solution

Spotting technology-driven change provides only part of the solution, however. Literally thousands of important high-tech breakthroughs are zooming at us from left and right. Not only do we need to carefully look both ways, it is essential to actually see and understand the ramifications of what’s coming.

Hopping out of the way in a panic or jumping onboard the next new thing isn’t the answer; nor is taking a wait-and-see attitude. By reinventing how welookat technology-driven change, it is possible to reinvent the way we thinkabout change. Once that happens, the reinvention of how we actin response to change takes place.

Look. Think. Act. These distinct steps are the key to both finding and profiting from the many new opportunities that are headed our way.

Look at the Hard Trends that willhappen and the game-changing opportunities they represent. Look at the Soft Trends that might happen and the opportunities to influence them.

Think about your list of opportunities and refine them into a few Must-Do actions.

Pick at least one opportunity and act on it now, because if you don’t do it, someone else will!

Today, agility—reacting quickly after a problem occurs or after a disruption disrupts, is not good enough. It’s time to learn how to become Anticipatory, using Hard Trends to anticipate disruptions beforethey happen, turning disruption and change into a choice.

If you would like to learn more, check out my latest bestseller, The Anticipatory Organization: How to Turn Change and Disruption Into Opportunity and Advantage.

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Marketing Personal Development Technology

How to Build Human Trust in AI

To read the popular press, AI can outdo humans at anything, but the truth is far more complex. AI applications are typically to do just one thing well, such as when Watson took on all comers in the Jeopardy game show. But while many of us are fine with letting computers play games, polls show that many of us are distrustful of self-driving cars. And that trust is a key issue, because otherwise valuable applications will be slowed down or even stopped if people don’t trust the technology. Research also shows that when AI systems give incorrect answers too frequently or answers that make no sense to humans, it reduces their trust in the system.

So, how do you build human trust in AI?

Explain the system’s decisions. There are calls for explainable AI, where the system must provide an explanation of how it came to its decision. This technique is still R&D, because techniques today are notorious for being proverbial black boxes. The problem with the research is that when you force systems to use only those techniques that are explainable, they inevitably work worse. Someday, this might be the answer, but not today.

Improve the system’s accuracy. The reason you want AI to explain itself is so you understand how mistakes happen. If you can make it work well enough, maybe no one needs an explanation. After all, most is us don’t know how our cars work, but we trust when we apply the brakes that it will stop. Hardly anyone knows how Google’s AI works, but we trust that our searches will get us good results, so we keep using it.

Reduce the really big mistakes. Watson once gave a really bad answer to a Final Jeopardy question in the category US Cities, providing the response of “Toronto.” We call that a “howler”–an answer so bad that even if you don’t know the correct answer, you still know that response is wrong. You can actually tune the system to reduce howlers by scoring bad answers as worse responses than wrong answers that are “close.”

Put humans in the loop. This might be the simplest of all. Instead of treating every AI system as one to replace humans, maybe it is easier, safer, and more trustworthy to set up the AI to help the humans do their jobs. Watson is being used to diagnose diseases, but rather than replacing doctors, Watson shows the doctors possible diagnoses based on the symptoms, with the doctor making the final decision. When decisions are so high stakes, this might be the most prudent approach.

AI is no longer science fiction, but people are understandably nervous of this kind of powerful force that works in mysterious ways. We need to pay close attention to building human trust in the system to see AI used in the safest and most valuable ways possible.

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Best Practices Culture Growth Health and Wellness Leadership Technology

Stop Playing a Game of Relationships Roulette

Attention is about connection. Attention is critical for cultivating healthy relationships – personally and professionally. Studies have shown us that when people fail to get the attention they need from a relationship, they will begin to seek it elsewhere.

Giving attention to someone is our way of prioritizing the relationship and showing them they are important to us.

When we give our attention to our spouse or partner, our relationship deepens.

When we give attention to our friends and family, our relationships become stronger.

As leaders, when we give attention to our employees, we retain their talent and create a sense of loyalty in the partnership.

My latest book Attention Pays, recently released and I’ve been ah-mazed at the number of people who have reached out to me about their experience reading it. Many of them have admitted they finally recognized the fact they were neglecting their more important relationships. Some even felt compelled to put the book down to give their focus to those they love in that very moment.  That makes me so happy. I am a work in progress, just like you. I need these reminders too.

I believe attention is our new currency. The more undivided attention we give to those that matter most, the more value they see in the relationship.

Here are a few strategies to help you focus your undivided attention on those in your life:

1. Device-free meals. Choose to keep the table a device-free zone. No matter the meal, no matter the company, choose to put it away. If you’re having a team luncheon, challenge others to do the same. Having dinner with friends? Make a deal with them that the first person to engage on their phone will have to pay the bill. Instead, use the time at the table to focus on those in your presence. Honor them and their importance in your life by engaging and gifting them with your undivided attention.

2. Purposefully plan. Be mindful and intentional about when you will spend time with those who matter most. Schedule time in the office to meet with employees to check in on their well-being. Set aside time each day to ask your children about their day. Consider planning a vacation with your friends or family that you can look forward to. Plan a date with your partner, child or friends. By planning ahead, you are letting others know how much you value the relationship.

3. Little things matter. Have you ever been surprised by someone who bought you a coffee on their way to work one morning? Maybe you’ve come home to find a small, unexpected package in the mail from a friend. Little things matter. They are one way to give attention to those who matter in your life. They let others know you care. Consider grabbing your partner’s favorite dessert on the way home as a special surprise. Or, pop an unexpected hand-written note in the mail to a friend or loved one. Reward an employee with a coffee or sweet treat for a hard day’s work.

What ideas do you have? Feel free to share in the comments below. Relationships are critical to our happiness and are important to our personal and professional well-being. Invest yourself in relationships and show those in your life they matter most.

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Best Practices Growth Management Personal Development Technology

Arming the Cyber Defender – Your Employees

Too often cybersecurity professionals talk about people being the weakest link in security, but I would much rather look at these individuals, your employees, as your first line of defense rather than the weakest link. That is because they are your first line of defense in the cyberwar waged against us.

You may think I’m being melodramatic when I use the term cyberwar, but this is exactly where we are. Our biggest adversaries are foreign governments who use their immense resources to gain access to our personal information and our intellectual property in order to gain advancements and a competitive edge over our country, our companies and our technologies. This is happening every day and China is leading this war against us while we do very little to respond.

You may think that you can’t do much against the Chinese Communist Party, but that is where you need to think differently, there is a lot you can do and it will take you and many more organizations being armed and ready to take action. We are mistaken if we have the attitude that someone else will take care of the problem. That is because we are not fighting this war on the traditional battlefield, the fighters are not the military, they are you and me and we all have a part to play.

For your organization, the defenders in this war are you and your employees, the people sitting in front of a computer all day or connecting a device to your network. They are your first line of defense, but they have not been weaponized, as in, they don’t know how important their role is in this fight; actually they don’t even know the fight exists.

Here is a checklist you can use to help ensure you have your bases covered in arming your employees in this war and protecting your organization and our countries assets.

  • Provide security awareness training that connects the user to their responsibility for security – teach them how to behave, what to do, what not to do, and how to respond then reinforce the training on a regular basis. Make sure they understand their role and how important it is. The more interactive and real the training the more they will connect with it and remember what they have learned.

 

  • Do not allow users to have administrative rights to their computers, talk to your IT department about this because this right gives attackers more access and a much better chance of installing malicious software on your network.

 

  • Do not allow users to disable end-point security like host-based firewalls or anti-virus software and keep the software current and working properly.

 

  • Provide users with clear instructions that are easy to find and follow for how to report suspicious or anomalous activity – make sure they know what it means – test them. Then ensure the response team knows what to do in various situations and test them too. Testing reinforces what people have learned, make it part of the process and not something for them to be afraid of.

 

  • Provide specialized security training for your business leaders and empower them to discuss security with their employees. Engage your security teams or security consultants to help. This is specialized knowledge that you have to teach everyone in your business, you can’t leave it up to the small group of security experts when all your users are your first line of defense.

 

  • Provide users with secure methods for transmitting sensitive data and teach them how to use it. They need to know that email is not secure unless you have given them a secure method for using it.

 

  • Provide users with secure methods for storing sensitive data and make sure they know where those locations are and how to ask for access. Users need to understand that storing sensitive data on their computers or unprotected network file shares opens the risk to losing that data to an attacker.

 

  • Keep the conversation in front of everyone at all times, don’t become complacent or allow your people to become complacent. This is on-going and ever changing topic and so must be the conversation.

When I said test them there are many ways you can do this. You can use products that simulate phishing attacks that users will learn from if they click on the email. You can use a penetration test to simulate an attack and test your response capabilities. You can use consultants who can perform social engineering tests to see if users provide sensitive data like passwords or customer information. Testing helps ensure the training you provide is working. It is not to punish those who don’t respond correctly. The only way to know where you stand and correct behavior is through testing, training, and re-testing.

What I like about all of this is that not only are you protecting your organization, but you are empowering your employees to go home and protect their home computers through what they have learned. They can teach their friends and families what to look for. Our attackers are not just after our organizations they are after anyone who can give them the edge they are looking for and that includes you, your children, your parents, and your friends. The more you can teach your employees and the more other leaders do the same, the more we are arming our people at home and at work to be our best line of defense.

This is a high-level list that will help you get the conversation started with your IT, security, and executive team. If you want to dive deeper email sharon@c-suiteresults.com and we can discuss your individual situation. For more articles on this topic visit my C-Suite Advisors Page.