Thu.Dec 26, 2024

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The last money has the first say.

Berkonomics

Be careful about investor rights This important variation on money talks is an important consideration for entrepreneurs when seeking an investment from professionals such as VCs. Something like a marriage (and often lasting just as long statistically), your investment partner can be a great cheerleader, coach and resource. But the moment things turn sour, including missed plans, some investors on company boards go into a predictable mode of dictating terms for emergency loans or additional inve

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Tarun Kumar Kalra Explores Apptio’s AI-Powered Strategies for Smarter IT Investments

AsiaTechDaily

Apptio, an IBM company, recently unveiled the availability of its enterprise agile planning (EAP), IT financial management, and cloud FinOps solutions on the Microsoft Azure Marketplace.

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Self-Driving Cars are (a) magical, (b) ready, and (c) should be allowed to kill people [mini post]

Hunter Walk

Ok, so obviously I don’t mean, like, first degree murder. More like manslaughter. Having an early look at autonomy during my time at Google, and then as a seed investor in Cruise, I’ve been insisting for years that the challenge to adoption isn’t primarily in the technology but in our collective definition of what ‘safe enough’ will be.

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Work Smarter, Live Better: How PixelBloom’s AiPPT.com Reached 10 Million Users in Just One Year

AsiaTechDaily

Generative AI is sweeping the world at an alarming rate.

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From Curiosity to Competitive Edge: How Mid-Market CEOs Are Using AI to Scale Smarter

Speaker: Lee Andrews, Founder at LJA New Media & Tony Karrer, Founder and CTO at Aggregage

This session will walk you through how one CEO used generative AI, workflow automation, and sales personalization to transform an entire security company—then built the Zero to Strategy framework that other mid-market leaders are now using to unlock 3.5x ROI. As a business executive, you’ll learn how to assess AI opportunities in your business, drive adoption across teams, and overcome internal resource constraints—without hiring a single data scientist.