Tue.May 23, 2023

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You can expect an explosion of innovation in the next 18-24 months from June 2023

Jeffrey Phillips

I am going to go out on a limb. Not a big limb, but any time you make a written prediction that people can come back and check, you put yourself at risk. My prediction has to do with innovation. Predicting innovation will seem unusual and risky for many people, because innovation seems so random and difficult to anticipate, like a lightning strike. But if you understand the conditions that make a lightning strike possible, suddenly the strikes don't seem so surprising.

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10+ Continuous Improvement Techniques and Methodologies | KaiNexus

Kainexus

Continuous business improvement refers to the ongoing process of identifying, analyzing, and enhancing various aspects of a company's operations and processes. This process management approach constantly seeks ways to make the organization more efficient, effective, and competitive. This article will describe many of the most popular continuous improvement techniques and methodologies.

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3 Innovation Types Not What You Think They Are

Innovation Excellence

But They Do Determine Your Success GUEST POST from Robyn Bolton The Official Story When discussing innovation, you must be specific so people know what you expect. This is why so many thought leaders, consultants, and practitioners preach the importance of defining different types of innovation.

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When Great Minds Don’t Think Alike

Harvard Business Review

Temple Grandin on how to harness different kinds of thinking for creativity, problem-solving, and innovation.

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2024’s Retail Odyssey: Going Small, Artificial, and Augmented!

Speaker: Joe Cicman - Principal Analyst at Forrester, and Jason Cottrell - CEO & Founder at Orium

Significant modifications are on the horizon for digital commerce in retail and customer experience come 2024. The pace of tech shifts will intensify, businesses are set to defund legacy solutions, and attractive opportunities will surface as social and retail media players join forces. To stay ahead of the curve, digital leaders are experimenting with less risky initiatives and scaling back on outdated projects that no longer yield impactful results.

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Unlocking Success in the Complex World of Contract Manufacturing Organizations (CMOs)

Yet2

Navigating the complex world of contract manufacturing organizations (CMOs) can be a daunting task. The recent CPHI North America conference in Philadelphia, attended by yet2 Senior Project Leader Hayden Hodges, highlighted important industry themes relevant to our clients and shed light on the importance of thorough research and matchmaking when choosing a CMO partner.

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The Entrepreneurial Journey of China’s First Private Mental Health Hospital

Harvard Business Review

After its successful initial public offering (IPO), how will the mainland’s first private mental health hospital group grow?

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Stop Looking for the Perfect Job

Harvard Business Review

Rethinking what we want and need from work with author Simone Stolzoff.

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How to Innovate, Part 1: Observe

Carla Johnson

May 23, 2023 Every day you think you see the world as it is, but in truth, so much goes on that you’re never even aware of. You mow through a bag of chips while watching a movie and don’t remember the second bite.

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What Does It Actually Take to Build a Data-Driven Culture?

Harvard Business Review

Lessons from Kuwait’s Gulf Bank.

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Where to Focus Your Company’s Limited Cybersecurity Budget

Harvard Business Review

Three cybersecurity investments to target.

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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. They're often developing using prompting, Retrieval Augmented Generation (RAG), and fine-tuning (up to and including Reinforcement Learning with Human Feedback (RLHF)), typically in that order. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are le