Innovation Excellence

NOVEMBER 14, 2022

GUEST POST from Greg Satell Why are organizations so resistant to change? Many point to a corporate immune system or to organizational antibodies that instantly attack change. The idea is that leaders prefer stability to disruption and put systems in place to reduce variance. These systems will instantly seek out and destroy anyone who tries […].

Change 75

Change System Disruption Leadership 75

Harvard Business Review

NOVEMBER 14, 2022

It may soon be standard practice for AI tools — such as GPT-3 and DALL-E — to provide first drafts of emails, articles, reports, blog posts, presentations, videos, and more.

Generative AI 103

Generative AI Creativity Change Video 103

Tullio Siragusa

NOVEMBER 14, 2022

The Most Effective Quality to Enable Sales Success Is Empathy. The root of Design Thinking is empathy. Design Thinking is a customer-centered approach to problem-solving that can be applied to a wide range of fields, including marketing and sales. Design Thinking can help to drive sales because it is centered on leveraging empathy. In this blog we are going to explore three things.

Design Thinking 62

Design Thinking Design Tips Meeting 62

Harvard Business Review

NOVEMBER 14, 2022

It’s tempting to put it off until the business is more mature, but starting early will help you build a competitive advantage.

Strategy 91

Strategy Strategy Competition Entrepreneurship 91

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

Values Centered Innovation

NOVEMBER 14, 2022

Welcome to our Conscious Innovator ® process! Are you ready for a new, insight-provoking “Jolt” … something that challenges conventional thinking about the "right" mindset for being innovative? It's not that the conventional understanding is wrong - just limited. Jolts wake us up. They emphasize a shift of focus that taps into a deeper, more expansive consciousness.

LEAN 52

LEAN Culture Innovation Processes Study 52

Harvard Business Review

NOVEMBER 14, 2022

You might want to be careful about who you’re doing business with, because in the end, your behavior is likely to be influenced by theirs.

Strategy 82

Strategy Strategy Management 82

Harvard Business Review

NOVEMBER 14, 2022

Resources for parents, advice for managers, and realities we should all be aware of.

Management 80

Management Resources 80

Paul Hobcraft

NOVEMBER 14, 2022

In the past few months, I have been writing consistently on the need to change our innovating process, thinking and designs into Innovation Ecosystem ones. Source: tmforum.org. In October, for example, I wrote, “ Why do we need to change our thinking about innovation “ I continue here with some more arguments of “why” we need to move towards an innovation ecosystem in design and thinking.

Innovation 204

Innovation Technical Review Design Collaboration 204

Harvard Business Review

NOVEMBER 14, 2022

A leader learns how to empower his growing team.

Leadership 66

Leadership Learning How To Management 66

Idea to Value

NOVEMBER 14, 2022

We often think that giving people more choices is better than having fewer choices. After all, wouldn’t we all want to have the option of getting something perfectly suited to our desires, than having to settle for what is available on the shelf? However, research has shown that if you want people to make a decision, sometimes having too many choices can make people less willing to make a decision at all.

Comparison 247

Comparison Analysis Study Resources 247

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