Tue.Jun 14, 2016

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Making innovation less difficult and less expensive

Jeffrey Phillips

I've made a simple drawing to illustrate what many of you already know. Too many people in the innovation arena are apt to talk about ideas, which are relatively easy to get, but fail to consider the effort involved to move from an idea stage to an innovation stage. I've often compared this to the amount of force it takes to get a rocket into orbit.

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Are you Open Minded? Three ways to overcome dangerous thinking habits.

Idea to Value

Tedx Talk given by Paul Sloane at the University of Brighton March 2016. Everyone thinks that they are open minded but we are all mental prisoners of our beliefs and assumptions. How can we break out of dangerous thinking routines and become really creative? This talk gives three practical ways to change your mindset and become a better problem solver.

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Enterprise lean startup experiment examples

Moves the Needle

Lean Experiment Techniques There are many techniques to consider when designing an effective lean startup experiment, so we decided to capture a few of our favorites below. Mix-and-match each example to create a powerful experimental learning vehicle for your next concept. Even better, see if you can recognize these lean startup experiment examples next time you’re using your favorite application or website.

LEAN 76
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Why September 1752 skipped 11 days (or learning about how time works)

Idea to Value

Time. It’s our most precious resource, yet one we often waste the most. Yet have you ever thought about how exactly our idea of time came to be? What makes a day last 24 hours, and why this is the same for people across the world even if their days are different lengths throughout the […]. Originally published at Why September 1752 skipped 11 days (or learning about how time works).

Learning 100
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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

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.

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Enterprise Lean Startup Experiment Examples

Moves the Needle

Lean Experiment Techniques. There are many techniques to consider when designing an effective lean startup experiment, so we decided to capture a few of our favorites below. Mix-and-match each example to create a powerful experimental learning vehicle for your next concept. Even better, see if you can recognize these lean startup experiment examples next time you’re using your favorite application or website.

LEAN 68
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Innovation Strategy – 16 Ideas for Innovating with Fewer Resources eBook

BrainZooming

I was talking with an executive charged with implementing an innovation strategy for a new company initiative. While the business objectives and expectations are lofty, the budget available to fund the innovation strategy has disappeared. The company pulled the funding because of a soft business environment and quarterly earnings pressure. I suspect this isn’t the only such case out there like this right now.

eBook 52

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How Artificial Intelligence Will Drive the Three Innovation Horizons

Innovation 360

For the moment, forget all the high profiled media stories about the danger of artificial intelligence (AI). These arguments are based on what AI might become , not on what it is doing now. Business leaders like Steve Wozniak have joined iconic scientists like Stephen Hawking in warning that even benevolent AI could rapidly become dangerous simply though inadequate concern for human safety.

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Innovation 360 Group - Untitled Article

Innovation 360 Group

For the moment, forget all the high profiled media stories about the danger of artificial intelligence (AI). These arguments are based on what AI might become , not on what it is doing now. Business leaders like Steve Wozniak have joined iconic scientists like Stephen Hawking in warning that even benevolent AI could rapidly become dangerous simply though inadequate concern for human safety.

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Microsoft and Linked-In – Same Song, Different Key

Adam Hartung

Microsoft is buying Linked-In, and we should expect this to be a disaster. It is clear why Linked-in agreed to be purchased. As revenues have grown, gross margins have dropped precipitously, and the company is losing money. And LInked-in still receives 2/3 of its revenue from recruiting ads (the balance is almost wholly subscription fees,) unable to find a wider advertiser base to support growth.

Project 39
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Working with the Most Innovative European Universities

Innovation Excellence

A new league table examines the most innovative universities in Europe. How many is your organization working with to drive your own innovation?

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From Data to Decisions: Maximizing Retail Potential with AI

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.

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TEDxGlasgow Labs – A Disruptive World

100%Open

It is amazing what a group of smart and inspired people can achieve in a short space of time. We were pleased to help design and run a series of Lab workshops as part of TEDxGlasgow recently, and for the 2nd year running. The theme this year was all around a Disruptive World. See below an infographic we’ve produced all about it, which shows the process we went through, the questions we focussed upon, and the outcomes generated.

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Card Sorting a Kitchen Taxonomy

Boxes and Arrows

This is the fourth in a series of real-life examples of taxonomies found in my kitchen. Part 4 of “Taxonomy of Spices and Pantries” looks at how card sorting studies can inform a taxonomy. Building the business case for taxonomy. Planning a taxonomy. The many facets of taxonomy. Card sorting. Tree testing. Taxonomy governance. Best practices of enterprise taxonomies.

Groups 67