In his third post in the series, Marshall Kirkpatrick focuses on the intersection between artificial intelligence and Fintech. By way of reminder, Marshall launched a 30 day series that explores the intersection between AI and various future scenarios anchored by my emerging futures visual.
In his second post in the series, Marshall Kirkpatrick focuses on the intersection between artificial intelligence and 3D Printing. By way of reminder, Marshall launched a 30 day series that explores the intersection between AI and various future scenarios anchored by my emerging futures visual.
This Presentation tells the full business evolution story articulated below.
Several key drivers have positioned the next two decades to deliver a staggering – perhaps unprecedented – amount of change. The accelerating pace of business, the growing impact of digital, and several other major indicators suggest that a next generation enterprise is on the horizon. The first of these indicators is the level of societal change impacting everything from business to war. In the business world, the implications of this change can be seen in our employees, where for the first time in history, four generations of workers are in our work force. The associated challenges are coming into focus, as some of these workers are digital natives, but the vast majorities are digital immigrants. With customers, the shift of power to the individual has changed their role forever and placed them at the center of the company ecosystem. Other indicators include an intense focus on growth, which increasingly requires collaboration within and outside the four walls of the Enterprise. This growth agenda drives a new type of value ecosystem, enabling growth that in many cases is outside a company’s traditional business.
Next up in this transformation series is the eighth enabler: the evolution from descriptive to predictive analytics. At the heart of future success lies the ability to leverage insight for competitive advantage. Yet, analytic capability and data driven cultures are lacking in most organizations, and most executives when assessing their positioning on a descriptive-to-prescriptive scale answer level one. The table below defines each level:
The next focus of this transformation series shifts to the emergence of value ecosystems and their role in driving the Enterprise of 2020. As we look at the Apple ecosystem and offerings like the connected car, mobile commerce, energy efficiency, electric cars, eHealthcare, and energy performance contracts, we can see the lines between industries blurring. Some even question the relevance of Industry constructs in the future. As this phenomenon accelerates, more and more companies must identify the relevant ecosystem(s) that enable their growth strategies. These value ecosystems are complex and relationship-oriented, representing future growth opportunities that are increasingly outside a company’s traditional business.
2014 will see an acceleration and expansion of transformation programs. All the dynamics are in place to create a compelling reason for companies to transform. This 14 part series takes a closer look at transformation and the likely path it takes in the next decade. This is the first piece in the series. Links to the other parts of the series are included at the end of this post.
In my last Post , I focused on three recent thought leadership pieces:
- Middle class job Creation – Geoffrey Moore
- Disruptive Technologies – Mckinsey
- New Machine Age – Andrew McAfee
These pieces continue to describe the transformative period that lies ahead. As we look at this and other thought provoking pieces, our job as leaders is to assess the potential impact to our organizations. Readers of my Blog know that I have focused my own assessment on the enterprise of 2020, or what I have been calling the Digital Enterprise. So I have worked to develop a high level road map based on my own perspective and experiences, ongoing executive dialog, and key pieces of market thought leadership. I will use the next several Blog posts to summarize my thinking. The road map is focused in two key areas: The forcing functions that drive the need to transform and the enablers that require investment to get us there. Forcing functions are those things that force the enterprise to invest in a future state. The forcing functions and a vision to address them are critical, as far too many leaders continue to sit on the sidelines with no impetus to invest in this future enterprise.
Part six wraps up our Digital Enterprise road map series with a focus on moving insight delivery from descriptive to prescriptive. Throughout this series, I have stressed the importance of analytic excellence to long term success. But current methods such as traditional business intelligence (BI) focus on reporting and analysis that seeks to answer questions related to past events – what happened. Advanced analytics seeks to answer questions such as: why is this happening, what if these trends continue, what will happen next (predict), and what is the best that can happen (prescribe). There is a growing view that prescribing outcomes is the ultimate role of analytics. To accomplish this, analytic initiatives need to leverage an insight-action-outcome framework that starts by defining outcome-enabling insight and ends with a focus on data provisioning.