Innovation Excellence
MAY 10, 2024
GUEST POST from Mike Shipulski If you have more features, I will beat you with fewer. If you have a broad product line, I will beat you with my singular product. If your solution is big, mine will beat you with small.
Rmukesh Gupta
MAY 10, 2024
Premise John Seely Brown and Ann-Pendleton Jullian call the world we currently live in a white water world, constantly changing, evolving and emerging. In this two part series they share their insights from their book – Design Unbound. They talk about how do you design your systems for emergence rather than stability (large corporate) or growth (startup).
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Planview
MAY 10, 2024
The automotive landscape is evolving, witnessing a subtle shift as the industry diversifies its focus to include a broader range of alternatives to both EVs and internal combustion engines (ICEs). This change, influenced by fluctuating demands and stricter regulations, underscores the need for agility and adaptability. Amidst this dynamic backdrop, automotive organizations find themselves at a crossroads, tasked with making strategic, future-proof investments that minimize risks.
ITONICS
MAY 10, 2024
The automotive industry is undergoing a profound transformation, driven by technological advancements and shifts in consumer expectations. The future of mobility is likely to see cars as continuously updating platforms, similar to smartphones. This will mean new demands in terms of connectivity, electrification, autonomous vehicles, and car-sharing services.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
If AI agents are going to deliver ROI, they need to move beyond chat and actually do things. But, turning a model into a reliable, secure workflow agent isn’t as simple as plugging in an API. In this new webinar, Alex Salazar and Nate Barbettini will break down the emerging AI architecture that makes action possible, and how it differs from traditional integration approaches.
Harvard Business Review
MAY 10, 2024
Researchers engaged with organizations across a variety of industries, each at a different stage of implementing responsible AI. They determined that, although data engineers and data scientists typically take on most responsibility from conception to production of AI development lifecycles, non-technical leaders can play a key role in ensuring the integration of responsible AI.
Harvard Business Review
MAY 10, 2024
In their work with more than 10,000 startup leaders across 70 countries, the authors identify three common management myths among startup leaders looking to grow their companies: the myth of scaling without hierarchy, the myth of structural harmony, and the myth of sustained heroics. By understanding why entrepreneurs fall for these myths, founders can better calibrate their own maverick impulses and instead rely on rigorous evidence about what actually leads to success.
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