As some employees adopt AI, while others resist it, AI will undoubtedly be a part of a company fabric no matter what scale of AI you’re deploying and it will come in various forms, the adoption of AI Agents, AI Models, and/or embedded AI systems (like Microsofts co-pilot, Salesforce, Snowflake, etc). What should you do to prepare for this human +AI workforce integration? What should you look out for? What assumptions won’t hold true? How should your HR, Leadership, and Middle-Management teams proactively plan for whats to come in the next 1-3 years.
The goal of AI is to amplify and accelerate what we do best in order to do MORE with the SAME (not less). So how do you prepare your organization model post-launch? What is the new Operating Model after deployment? What considerations and assumptions do you need to know NOW to achieve your ROI, establish a regenerative growth model, and drive “Catalytic commerce” – where AI as an enabler that creates compounding value generation vs. taking a one-time slingshot approach with barely any returns.
Geared for Non-Technologists who want to make sense of the AI world and what it entails, this conversation gets past the ‘Art of the Possible’ and into the ‘World of the Practical’. A majority of us aren’t technologist, so its important to understand what all this means today, for the future, and how to best be prepare for it personally and professionally. It also discusses the hype, the marketing, whats fact vs. fiction, and how to tell the difference.
While many companies strive to be innovative, nearly 76% of all innovation projects fail and nearly 92% fall short of expected results. This conversation focuses on how to avoid the pitfalls and quicksand of innovation and why BUSINESS VALUE is not the metric of choice when choosing your innovation projects. It also discusses, how to make sense of the new world of CXO’s where the boundaries of technology have expanded past the CIO. How should one think through the division of labor, motivating a workforce that can be apprehensive or resistant towards the latest advents of today, and how to forecast innovation projects.
Many organizations are focused on being ‘Data Centric’, ‘Data Driven’, and monetizing on data because it's the new enterprise oil. However, most organizations fail to make the pivot, with nearly 73% of organizations falling short of what they set out to accomplish with their data strategy. This discussion will go into all the reasons ‘Why’, and what we can do to course correct, evangelize, and create a movement that will build a last legacy with data. Everyone can be data-centric without removing the creativity, critical thinking, and experience we bring to the table.
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