Tag: innovation

Structured grid of repeating architectural panels illustrating the layered, systematic design of an enterprise AI framework
Artificial Intelligence, Digital Transformation, Strategy

The Secret to AI Success Isn’t the Right Tools. It’s the Right Model.

Eighty-eight percent of organizations use AI. Only 31 percent have scaled it enterprise-wide. The gap is not the technology. It is the structure surrounding it. The SoT AI Enterprise Reference Model is a nine-layer enterprise AI framework that maps every capability an organization needs to build and sustain AI at scale, from infrastructure through strategy, technical and organizational dimensions treated as one inseparable system.

AI infrastructure investments are moving faster than most organizations can manage. Platforms are fragmenting. Vendors are pivoting. Regulatory requirements are tightening. For mid-market companies, a wrong bet is not just expensive. It is a setback there is no easy budget to recover from. This post introduces a practical framework for future-proofing your AI infrastructure: a continuous lifecycle management strategy that helps CEOs, COOs, and CAIOs protect their investments, maximize flexibility, and manage change deliberately. Includes a self-assessment diagnostic and five action steps you can apply before your next AI investment decision.
Artificial Intelligence, Best Practices, Executive Overviews, Innovation Management, Management, Strategy

Future-proofing your AI Infrastructure

AI infrastructure investments are moving faster than most organizations can manage. Platforms are fragmenting. Vendors are pivoting. Regulatory requirements are tightening. For mid-market companies, a wrong bet is not just expensive. It is a setback there is no easy budget to recover from.

This post introduces a practical framework for future-proofing your AI infrastructure: a continuous lifecycle management strategy that helps CEOs, COOs, and CAIOs protect their investments, maximize flexibility, and manage change deliberately. Includes a self-assessment diagnostic and five action steps you can apply before your next AI investment decision.

Air traffic control center with operators coordinating multiple simultaneous flights, representing enterprise AI coordination and governance
Artificial Intelligence, Executive Overviews, Innovation Management, Management

AI Is Everywhere. Enterprise Impact Isn’t. Here’s the Structure That Closes the Gap.

AI is everywhere. For most organizations, meaningful business impact is not. Whether you are running a large enterprise or a mid-market company where every AI dollar has to earn its return, the challenge is the same: AI initiatives emerge faster than the structure needed to manage them.

This blog introduces the AI Operating Function, explains why it is missing in most organizations, and outlines what leaders can do to close the gap.

IoT build, buy, partner
Artificial Intelligence, Best Practices, Execution, Product Management, Strategy

The AI Build–Buy–Partner Decision: A Strategic Framework for Executives

AI enables organizations to transform their operations, enhance responsiveness, resilience and facilitate customer experience. While the decision to adopt AI is straightforward, organizations are faced with a “build, buy, partner” decision – build it themselves, buy and integrate technology, or partner with another organization to co-develop it together.

This article discusses some of the key management considerations involved in making a decision.

Smart City Ecosystem Architects - eight things to do
Best Practices, Digital Transformation, Industrial IoT, Innovation Management, Internet of Things, Smart City, Smart Communities

Building Smart Cities – Eight Things That Matter

Whether you are planning or have already started your smart city journey, there are eight things that cities must get right. While smart cities are often associated with technology, it is but one component within the larger smart city ecosystem that needs to be addressed.

This article discusses the eight things that leaders and planners must get right, in order to build the sustainable and well functioning smart city.

Smart City Ecosystem Framework
Digital Transformation, Internet of Things, Smart City, Smart Communities, Strategy

Planning Sustainable Smart Cities with the Smart City Ecosystem Framework

The smart city is a complex ecosystem of people, processes, policies, technology and other enablers working together to deliver a set of outcomes.

Despite this, many planners today are not taking an ecosystem approach to smart city projects. This article introduces the smart city ecosystem framework, a more holistic and multi-dimensional approach, to building more sustainable, scalable and relevant smart cities.

IoT build, buy, partner
Execution, Industrial IoT, Internet of Things, Product Management, Strategy

Build, buy, partner? Strategic options for creating smart solutions

IoT enables vendors to create an entirely new line of “smart” solutions for its existing and new markets. While the decision to go “smart” is straightforward, the decision of how to go “smart” is less obvious. Vendors are faced with a “build, buy, partner” decision – build it themselves, buy and integrate technology, or partner with another organization and go to market together.

This article discusses some of the key management considerations involved in making a decision.

IoT innovation is not in the solution, but in how it is used
Best Practices, Digital Transformation, Innovation Management, Internet of Things, Strategy

IoT innovation is not in the technology, but in what it can do

Don’t confuse IoT with innovation. The real IoT innovation is not in the technology, but in what it can do and what it allows organizations to become – intelligent, agile and adaptive, in creating new value for its customers.

This article describes five innovation paths with IoT solutions to consider when planning digital transformation projects, along with advice to get started on turning the Internet of Things into the Innovation of Things.

Digital Transformation, Internet of Things, IoT, Strategy

Five things managers should do first in an emerging IoT market

There is no lack of IoT platforms, business models, and innovative products in the market today. However, today’s products are still immature point solutions. From technology standards, to business models, IoT will evolve over the next few years.

Given the immature state of IoT, what should transformation, business and IT managers do today?

This article discusses five things that managers should do now as they plan and deploy IoT strategies and projects.

5 types of innovation
FAQs, Innovation Management, Strategy

Innovation is not just about technology – the five types of innovation all managers must know

Recently, I met with key executives from an industry trade group to discuss disruptive innovation in Silicon Valley.

One key concept I shared with them is that although many people equate innovation with technology, there are actually five types of innovation and that some or all may occur at the same time.

This post describes the five types of innovation, and provides managers with three takeaways to guide their innovation strategy.