In the digital world, most companies are not operationally ready to succeed with AI
The 2026 Deloitte State of Enterprise AI report documented three key challenges companies are facing to be operationally ready to successfully deploy AI, GenAI & Agentic AI.
In the digital world, decision latency does more damage than operational latency
One of the major changes that came out of the Covid-19 pandemic was the increasing trust gap between individuals and institutions. Whether it was employees at Starbucks, Google, Twitter, and Amazon challenging the legitimacy of their companies’ business motives or an increasing lack of faith in critical institutions like the CDC and the Supreme Court the bonds of trust were frayed if not broken.
In the digital world, data is no longer a by-product of business systems, it’s a core generator of business value creation
One of the major changes that came out of the Covid-19 pandemic was the increasing trust gap between individuals and institutions. Whether it was employees at Starbucks, Google, Twitter, and Amazon challenging the legitimacy of their companies’ business motives or an increasing lack of faith in critical institutions like the CDC and the Supreme Court the bonds of trust were frayed if not broken.
In the digital world, building a culture of trust is now mission critical
One of the major changes that came out of the Covid-19 pandemic was the increasing trust gap between individuals and institutions. Whether it was employees at Starbucks, Google, Twitter, and Amazon challenging the legitimacy of their companies’ business motives or an increasing lack of faith in critical institutions like the CDC and the Supreme Court the bonds of trust were frayed if not broken.
In the digital world, AI is not a cost it’s a strategic capital investment
According to a recent survey from SaaS benchmarking firm Benchmarkit and cost governance platform Mavvrik, 85% of organizations misestimate their AI cost by more than 10% and nearly a quarter miss by more than 50%. Many of these cost overruns come from hidden layers beneath the cost of the AI model including data preparation, security, integration, and governance.
In the digital world, protecting your company from AI, GenAI & Agentic AI cyber-security threats is a whole new ballgame
The rapid development and proliferation of multiple AI, GenAI & Agentic AI technologies have exponentially expanded the security threat surfaces for companies of all sizes across all industries.
In the digital world, leveraging AI to increase business valuation is the new strategic imperative
Over the last three years, companies of all sizes and across all industries have invested billions of dollars in AI, Gen AI, and Agentic AI with little or no ROI and modest (if any) positive impact on creating increased business valuation.
In the digital world, the speed of AI innovation is far exceeding the speed of its successful adoption
In five days, we will reach the third anniversary of the launch of ChatGPT. During that time, there has been an explosion of innovative new AI products, services, and solutions that have far outstripped successful employee and end-user adoption and utilization. The following data documents the gap between the level of innovation and adoption
In the digital world, getting your board on board with AI adoption is a strategic imperative
To successfully adopt and deploy AI, GenAI, and Agentic AI requires starting at the top with the CEO and Board agreeing on the right digital strategy for the company and a game plan to implement it. That is virtually impossible to do if most board members are not digitally savvy.
In the digital world, “you earn what you learn”
“The saying “you earn what you learn” emphasizes the connection between acquiring knowledge and skills and increasing one’s earning potential. It suggests that investing time and effort in learning, whether through formal education, on-the-job training, or personal development, can lead to greater opportunities and higher income.”
