Paul Hobcraft

SEPTEMBER 26, 2022

Finding the new building blocks of innovation ecosystem design and thinking. Why change our thinking and designing around innovation ecosystems?“. For me, ecosystem thinking and design offer fresh ways for accelerating mutual learning, and through this innovation, outcome potential for sharing and knowledge building. As we build an understanding of the power of digital platforms and ecosystem thinking, we can see gains and new values and realize different opportunities denied to us in the past b

Design 208

Design Artificial Inteligence Innovation Collaboration 208

Business and Tech

SEPTEMBER 26, 2022

We spoke to Roni Savage, CEO of Jomas Associates , about working successfully in a male-dominated industry and challenging the status quo. Roni Savage CEO , Jomas Associates. How have you, as a woman, navigated and succeeded in a male-dominated industry? It can be daunting not seeing anyone who looks like you in the workplace. However, I grew up with four older brothers and that experience certainly prepared me for navigating the male-dominated industry I now work in.

Industry 130

Industry Technology Resources Tools 130

Harvard Business Review

SEPTEMBER 26, 2022

Many organizations make no secret of their strategic use of the threat of job loss to motivate employees. But new research suggests that this isn’t just cruel — it’s often counterproductive.

Management 88

Management 88

Innovation Excellence

SEPTEMBER 26, 2022

GUEST POST from Greg Satell Clearly, we live in a time of great flux. First, #MeToo, then Covid-19 and now a new racial consciousness in the wake of the murder of George Floyd. The most important task for leaders over the coming years will be to guide their organizations through change. Make no mistake, it […].

Change 78

Change 78

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

Harvard Business Review

SEPTEMBER 26, 2022

Corporate structure and culture often derail companies’ best intentions. Here’s how to overcome these common pitfalls.

Culture 98

Culture Company How To 98

Cris Beswick

SEPTEMBER 26, 2022

Innovation has the potential to thrive in every organisation, no matter how large or small. So why are 55% of businesses not seen as active in innovation? The answer may lie with your middle managers, says Cris Beswick, author and co-founder of OUTCOME. Here’s how you can create the right conditions to enable your people to lead and contribute to innovation-led transformation.

Culture 52

Culture Innovation Survey Resources 52

Michael Roberto

SEPTEMBER 26, 2022

Source: www.lifesize.com Much has been written about the impact of remote work on collaboration and innovation in the workplace. Yet, few rigorous studies have attempted to document the actual impact on innovation. Now comes a fascinating new paper from David Atkin , M. Keith Chen & Anton Popov. They used an enormous amount of smartphone geolocation data to track face-to-face interactions.

Collaboration 59

Collaboration Meeting Study Data 59

Harvard Business Review

SEPTEMBER 26, 2022

When you don’t want to quit, but you need to protect yourself from a manager’s bias and incivility.

Management 83

Management 83

Harvard Business Review

SEPTEMBER 26, 2022

Five critical decisions to set it up for long-term success.

92

92

Harvard Business Review

SEPTEMBER 26, 2022

The new season of Coaching Real Leaders tackles becoming an entrepreneur, making a later-life career change, and other new leadership challenges.

Leadership 53

Leadership Change Management 53

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