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.
Tag: Business Analytics
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Artificial Intelligence Intersects with 3D Printing
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.
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A Closer Look at Transformation: Descriptive to Prescriptive
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:
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A Closer Look at Transformation: Value Ecosystems
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.
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A Closer Look at Transformation: Growth
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.
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A New Kind of Intelligence
The explosion of data and content is not limited to social media and represents a top of mind issue for many companies. The opportunity exists to create unprecedented business value – but there are significant hurdles like greater risk exposure, more complicated risk management, and difficulty extracting relevant insight from large volumes of data.
As volume grows, automation is critical. For example, social media monitoring is a common practice today, one that becomes increasingly ineffective and costly as the social web expands. Monitoring tools that enable the analysis of dialog on social networks like LinkedIn, FaceBook and Twitter provide a basic level of insight. But a deeper level of insight still requires a manual process, where irrelevant content is filtered before finding meaningful insight. Information management is therefore a growing challenge.
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Big Data
Big Data is the latest buzzword attracting all kinds of attention. A Brand New Report by Mckinsey takes a detailed look at this new phenomenon. Mckinsey defines Big Data as datasets whose size is beyond the ability of typical database software tools to capture, store, manage and analyze.
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Predictive Analytics in the Insurance Industry
This very good Article by Anand S. Rao discusses the growing use of predictive analytics in the Insurance Industry. I believe Mr. Rao is right on the mark – although I continue to emphasize the expanding role of Text Analytics in the analytic value equation. In this article, he identifies some of the drivers of predictive analytics adoption.
Inside the Next Transition 
