Idea to Value

NOVEMBER 6, 2017

Every company thinks that they can innovate by making their product better. But eventually, this concept of “better” begins to become irrelevant. If an entire industry is trying to innovate in the same way, eventually progress will become almost impossible to notice from a customer’s perspective and innovation will plateau. This is not to say that there is no more technological progress being made, but rather that each incremental improvement ( better ) becomes less noticeable

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ImagineNation

NOVEMBER 6, 2017

I recently met with a client, who was seeking our ideas, information and input towards what might be involved in cultivating a “fail fast” organizational culture. It was an interesting discovery conversation, causing me to explore what needs to be in place to create permission, vulnerability, safety, courage and trust for the deep learning’s that […].

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Wazoku

NOVEMBER 6, 2017

Google’s recent Pixel 2 event may have been focused primarily on new product, on smartphones and laptops, but the real story was the blanket pervasiveness of Artificial Intelligence and Machine Learning. Artificial Intelligence is iterating at a rapid pace. As corporates and governments rush to implement, to automate tasks at speed and link technical actions to sensory experience, there is both risk and opportunity that the social, cultural and political implications of AI will be neglected.

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Swarmvision

NOVEMBER 6, 2017

Everything we've built has been designed to meet customer needs. Tell us where to go. Take this short survey for a chance to win 100 free licenses to the Swarm Innovation Profiler: [link].

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Survey Meeting Design Innovation 40

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

Data

ImagineNation

NOVEMBER 6, 2017

I recently met with a client, who was seeking our ideas, information and input towards what might be involved in cultivating a fail fast organizational culture. It was an interesting discovery conversation, causing me to explore what needs to be in place to create permission, vulnerability, safety, courage and trust for the deep learning’s that mistakes and failure provide in advancing creativity, invention and innovation?

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The Inovo Group

NOVEMBER 6, 2017

There is not much written in this article that hasn’t been written about numerous times before, but it does provide a concise summary of many of the issues large companies face and some of the reasons they are not good at disruptive innovation. After describing the problem, and then posing the intriguing question “ What if there was a way to test and optimise our assumed problem and solution before investing in subsequent development?

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The Inovo Group

NOVEMBER 6, 2017

Much has been made of Google’s X (now part of Alphabet) initiatives – some are envious, some are admiring, many are skeptical. Of the many public descriptions about what really happens at Google X this article is a valiant attempt at describing what makes Google X either really special or really misguided (or both). As the author states “ getting invention right is hard, and getting commercial innovation right is hard, and doing both together—as X hopes to—is practically impossible ”.

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Collective Campus

NOVEMBER 6, 2017

Collective Campus hosted Disrupt the Public Sector, its annual conference on innovation in Government, for the third time this year as part of the Australian Government’s Innovation Month 2017.

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The Inovo Group

NOVEMBER 6, 2017

We are creating an intelligence that is external to humans and housed in the virtual economy. This is bringing us into a new economic era—a distributive one—where different rules apply. So begins this excellent article by W. Brian Arthur, well-known economist who described the phenomenon of increasing returns and wrote the excellent 2009 book, “ The Nature of Technology ”.

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Collective Campus

NOVEMBER 6, 2017

Sam Walker is The Wall Street Journal’s deputy editor for enterprise, the unit that oversees the paper’s in-depth page-one features and investigative reporting projects.

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Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

Artificial Inteligence

Collectivecamp

NOVEMBER 6, 2017

Everyone wants to come up with the next Uber or AirBnB but not everyone knows the best way to get there.

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How To 45

Collective Campus

NOVEMBER 6, 2017

Andreas M. Antonopoulos is a technologist and serial entrepreneur who has become one of the most well-known and well-respected figures in bitcoin.

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InnovationLabs

NOVEMBER 6, 2017

An interesting question to consider is if a theory is useful or useless. Does theory make action more effective, or is it a needless diversion? In the case of this blog post, the question is more specific: Is a theory of innovation a useless abstraction, or an essential tool? The exceptionally wise business innovator and […].

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Collective Campus

NOVEMBER 6, 2017

Does government have a responsibility to keep its workforce employed in the face of technological change?

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Speaker: David Azoulay, Marc Stracuzza, Román Tejada, and Guest Speaker Sucharita Kodali

Imagine a retail landscape where every interaction is personalized, every decision informed, and every opportunity maximized 🤔✨ Join us for an exploratory journey into the heart of AI-driven retail innovation. We’ll unveil the transformative potential of AI and data analytics in shaping the future of omnichannel personalization and e-commerce.

Data

Collectivecamp

NOVEMBER 6, 2017

Everyone wants to come up with the next Uber or AirBnB but not everyone knows the best way to get there.

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Idea Generation How To 40

Collective Campus

NOVEMBER 6, 2017

Large organisations are engaging startups in growing numbers.

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Michael Roberto

NOVEMBER 6, 2017

David Marquet has written an interesting article for Forbes this week regarding decision-making processes. He begins with a statement of the problem that many organizations must address: "It's not that the courage to speak up is too low, it's that the barriers to speaking up are too high." However, I have some concerns about the solution that he proposes.

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Collective Campus

NOVEMBER 6, 2017

Here are our team’s favourite company pivots of all time.

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Scaling transformational innovations in large companies is challenging due to ‘Company Fit’ issues, which arise when the resources, processes, and priorities (RPPs) of the core business are not aligned with the needs of the new business. Many companies have learned how ambidexterity—the ability to both ‘exploit the present and explore the future,’ can help them address these issues for ideation and incubation of new innovations, but scaling transformative business innovations remains a challenge

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Paul Hobcraft

NOVEMBER 6, 2017

It is always welcome to read a thoughtful article that reminds me, no, it actually inspires me, by reinforcing my own belief that innovation is progressing, even if this is sometimes frustratingly slow. The innovation architecture is progressively being recognized and put into place, it’s forming the building blocks of the innovation platform we need to build upon, ones for more radical innovation outcomes.

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Linda Bernardi

NOVEMBER 6, 2017

Me & AI: (Nov 2, 2017) It is with great joy and pleasure that I have joined Element AI as EVP, Chief Product & Strategy Officer. The mindful deployment of AI at enterprises has been a lifelong passion and journey for me. Element AI is the perfect place to see my dreams come true. Working alongside a stellar team of multidisciplinary thinkers, with a clear AI-First mindset, it is our goal to not only provide the most comprehensive AI products and services, but in addition, as the truste

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