Remove Artificial Inteligence Remove Design Remove Enterprise Remove Technical Review
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The Final Perspective: A Composable Innovation Enterprise Framework

Paul Hobcraft

I am suggesting a vertical and horizontal design applying innovation stack and building block approaches, all “housed” on a technology platform. 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?

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5 Tech Issues That Can Slow Down Innovation

IdeaScale

In our minds, technology and innovation are interconnected. However, for every technological advancement, there seems to be a learning curve or adjustment period as we try to figure out how to implement automation into our daily lives. Technology: One Step Forward, Two Steps Back? 1 The Devil in Design.

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Please, we need a different Innovation narrative

Paul Hobcraft

The work undertaken is often seen as a drain, not repeatable, and poor on the efficient definition of understanding we have in place today as the work undertaken, not yielding the returns if the concept is more radical due to time horizons or business model constraints. Ecosystems and platforms become the core of any design.

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The Importance of Staying Scrappy in an AI-Driven Era

Tullio Siragusa

The Importance of Staying Scrappy in an AI-Driven Era In an age of rapid technological advancements, companies everywhere are embracing artificial intelligence (AI) and automation to modernize their operations. Companies should invest in design thinking, ethnographic research and other human-centric innovation methods.

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Generative AI, ChatGPT and Large Language Models: A 101

Acuvate

The introduction of ChatGPT and other cutting-edge AI-led data analytics and visualization tools has sparked a lot of buzz in the tech world. The secret to these models’ success is Generative AI, which creates text that sounds remarkably human, enabling business users with data analytics outcomes that feels far more natural.

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Why Mission-Critical Industries Need Custom Industrial Data Platforms

Acuvate

For example, predictive maintenance, an activity enabled by these technologies, has helped organizations increase asset lifespan by up to 40% and reduce downtime up to 50%. They are designed from the ground up with the industry’s particular data sources, security needs, and decision-making processes in mind.

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Platform models are the new order of our innovating business need

Paul Hobcraft

This is having a more connected set of components coming from technology, built into the value proposition. Our ‘need’ for technology has grown in recognition that it can solve our personal problems and situations and is quickly becoming the norm of everyday life. Furthermore, I valued Haydn Shaughnessy , along with Nick Vitalari.