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Visualizing the Composable Innovation Enterprise Framework

Paul Hobcraft

After a series of posts introducing and explaining the thinking and design behind the Composable Innovation Enterprise Framework, I thought it would be a good idea to put this into a sequence of visuals that should take you through this to provide a decent understanding of its make-up and logic.

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The building out of the Composable Innovation Enterprise Framework.

Paul Hobcraft

I have called this the Composable Innovation Enterprise Framework – here is why and what went into this proposal that I feel should be adopted for managing innovation in the future. The principles of this Composable Innovation Enterprise Framework are the recognition and value of having a building block and innovation stack design.

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The Potential Returns of the Composable Innovation Enterprise Framework

Paul Hobcraft

I proposed a new Framework for managing innovation this week, called the Composable Innovation Enterprise Framework. I wrote a post “ Building Up to the Composable Innovation Enterprise Framework Validation “, providing the investigations and subsequent posts I provided to build the argument towards this solution.

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The implementation of the Composable Innovation Enterprise Framework?

Paul Hobcraft

How difficult would it be to embrace this Composable Innovation Enterprise Framework, as it is often argued that most people want to keep innovation management and its process simple? Any enterprise-enabled framework will require serious change management thinking. It is not a “big bang” solution; it should be phased.

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5 Early Indicators Your Embedded Analytics Will Fail

Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. But by then, it may be too late. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.".

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The Final Perspective: A Composable Innovation Enterprise Framework

Paul Hobcraft

Are we leveraging Artificial Intelligence (AI) or Machine Learning enough from the explosion of data to identify patterns and insights leading to emerging concept creation? So why did I name this “A composable innovation enterprise framework ? Are we leveraging fully what is available to us to build better innovation concepts?

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Focusing on the Learning Components of the Composable Innovation Framework

Paul Hobcraft

Within the Composable Innovation Enterprise Framework lies the core, the different innovation stacks, and the learning components. Here, I want to briefly talk about the importance of the learning components that support the innovation design and especially the different innovation stacks.

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Assessing the Five Styles of Enterprise Business Intelligence

Discover the five styles of reporting and analysis, and learn the pros and cons of each in an enterprise scenario. The world of BI and analytics has evolved.

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Thinkers360 2022 B2B Thought Leadership Outlook Research

Download this exclusive report to learn key findings related to: Current and Future State of B2B Thought Leadership. com/enterprise. Thought Leadership Consumers (Current State). Thought Leadership Creators (Current State). Thought Leadership Creators (Plans for 2022). Find out more at Thinkers360.com/enterprise.

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Drive GTM Efficiency with Tech Stack Consolidation

Consolidating your tech stack is an effective cost-saving measure that drives GTM efficiency and adds value to your enterprise. With a cohesive, integrated tech stack, your revenue teams can deliver an excellent customer experience that sets you up to win faster than your competitors.

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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.

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AR/VR Simulations for Sustainable, Regenerative, Circular Cities

Speaker: Nik Gowing, Brenda Laurel, Sheridan Tatsuno, Archie Kasnet, and Bruce Armstrong Taylor

This conversation considers how today's AI-enabled simulation media, such as AR/VR, can be effectively applied to accelerate learning, understanding, training, and solutions-modeling to sustainability planning and design. This is a panel discussion you won't want to miss!