Posts Tagged ‘Akamai’

Winners = losers in business plan competitions?

Monday, November 30th, 2009

Business plan competiton season is in full swing — the MIT 100K’s Elevator Pitch Competition, and the Executive Summary Contest is getting started. Researcher/entrepreneur/business plan competition judge Vivek Wadhwa weighs in at TechCrunch, suggesting that losing business plan competitions may be better for startups than winning. Wadhwa calls the competitions a relic of the dot-com era, and compares winners to children whose parents praise them too much.

A quick scan of past winners backs up Wadhwa’s argument — the winners haven’t gone on to become huge successes, while Akamai, Harmonix and Brontes all lost.

Meanwhile, investor/entrepreneur/business plan competition judge Sim Simeonov says he disagrees with Wadhwa but adds his own criticism, saying the competitions move the target from creating a successful business to winning the competiton, and force judges to decide a winner without any kind of VC-style due diligence.

So what does all that mean for Rouzbeh Shahsavari, who recently won five grand for his nano-engineered concrete startup? Who knows? Above, watch Shahsavari possibly doom his startup by winning, and the other contestants ensure wild success by losing the $100k Elevator Pitch Contest last month.

MIT, Akamai, Carnegie Mellon working on energy-saving Internet traffic algorithm

Monday, August 17th, 2009

Directing Internet traffic to parts of the grid where electricity happens to be cheapest could save companies with huge data-warehousing needs, like Google, 40 percent, according to researchers at MIT, Carnegie Mellon and Akamai, Technology Review reports.   

Asfandyar Qureshi, a PhD student at MIT, first outlined the idea of a smart routing algorithm that would track electricity prices to reduce costs in a paper presented in October 2008. This year, Qureshi and colleagues approached researchers at Akamai to obtain the real-world routing data needed to test the idea. Akamai’s distributed servers cache information on behalf of many large Web sites across the US and abroad, and process some 275 billion requests per day; while the company does not require many large datacenters itself, its traffic data provides a way to model the demand placed on large Internet companies.

Affiliate publications: ACBJ.com, Boston Business Journal, Bizjournals.com, Portfolio.com, Wired.com

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