Mon.Apr 24, 2023

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Constructing the innovation mandate

Paul Hobcraft

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.

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Driving Organizational Change — Without Abandoning Tradition

Harvard Business Review

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

Change 107
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Reasons Change Management Frequently Fails

Innovation Excellence

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.

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Cyber Thieves Are Getting More Creative

Harvard Business Review

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

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Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization

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.

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Value Stream Discovery – Part 2

Moves the Needle

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.

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Vanguard Confronts an Inconvenient Truth

Harvard Business Review

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

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Our All-Time Favorite Episodes of Cold Call

Harvard Business Review

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

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Building a Cognitive Knowledge Management Strategy for Global Organizations: Best Practices and Lessons Learned

Acuvate

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.

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How Do I Lead My Team without Strategic Direction from the Top?

Harvard Business Review

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

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Unraveling the Blockchain Revolution: A Deep Dive into Its Promising Future

Tullio Siragusa

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.

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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.