Paul Hobcraft

APRIL 24, 2023

So often innovation struggles to be recognized for what it is. Innovation is a critical source of future competitive advantage. It is our ability to consistently capture, build and develop new ideas within organizations or in open collaborations with others that have a direct effect on revenue growth and the ability to provide future sustainability.

Innovation Programs 190

Innovation Programs Technical Review Innovation Policies 190

Harvard Business Review

APRIL 24, 2023

To shift entrenched ways of thinking, leaders need to understand and respect where people are coming from.

Change 106

Change Leadership Management Innovation 106

Innovation Excellence

APRIL 24, 2023

GUEST POST from Greg Satell In 1983, McKinsey consultant Julien Phillips published a paper in the journal Human Resource Management that described an “adoption penalty” for firms that didn’t adapt to changes in the marketplace quickly enough. His ideas became McKinsey’s first change management model that it sold to clients.

Change 73

Change Management Resources 73

Harvard Business Review

APRIL 24, 2023

They’re combining real information with tiny bits of misinformation to steal from companies and individuals.

Creativity 92

Creativity Company Management 92

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

Moves the Needle

APRIL 24, 2023

The Value Stream Discovery Loop is a customer-centric approach to value creation. It helps businesses understand what their customers need and how they can provide value to them in an efficient, value-enhancing way. At its core, this is accomplished by looking at a customer’s lifecycle journey from their perspective. The journey can be broken down into seven states that a customer goes through: Awareness, Intrigue, Trusting, Convinced, Hopeful, Satisfied, and Passionate.

Disruption 40

Disruption 40

Harvard Business Review

APRIL 24, 2023

Its controversial withdrawal from a climate alliance actually clarifies the path to net zero.

Policies 95

Policies Change 95

Harvard Business Review

APRIL 24, 2023

Cold Call is celebrating 200 episodes with a special series, including the show team’s favorite episodes from the archives.

Competition 76

Competition Data Entrepreneurship Strategy 76

Acuvate

APRIL 24, 2023

In the rapidly evolving world of business, knowledge is the new currency. Companies that harness it effectively are the ones that thrive. Take Amazon , for example. The ecommerce retail giant utilizes data analytics, artificial intelligence, and machine learning to deliver personalized content to users, leveraging Cognitive Knowledge Management Systems (KMS) to keep its workforce prepared to take on the competition.

Artificial Inteligence 52

Artificial Inteligence Strategy Strategy Learning 52

Harvard Business Review

APRIL 24, 2023

A leader must learn how he can enhance his team’s impact, despite conflicting organizational priorities.

Learning 53

Learning Leadership 53

Tullio Siragusa

APRIL 24, 2023

Unraveling the Blockchain Revolution: A Deep Dive into Its Promising Future The blockchain revolution is upon us. Its disruptive potential has captured the attention of technology enthusiasts, entrepreneurs, and investors alike. In a recent episode of the Tech Leaders Unplugged podcast, we explored the the transformative power of blockchain technology by delving into various aspects of blockchain, its applications, and its future.

Data 62

Data Technology System Industry 62

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