Skip to main content

Carving Up the Social Graph Turkey

After much deal-making and jockeying in the previous quarters, Facebook, Twitter, Microsoft and Google at last revealed their near-term Social Search plays at today's Web 2.0 Summit.
  • Facebook announced the impending launch of its own social search platform + a deal with minority investor Microsoft that brings FB status updates to Bing.  
  • Google announced a new Social Search capability that pulls friend-relevant data from most core social networks with the notable exception of Facebook + a deal with Twitter to bring real-time tweets to the search engine.
  • Microsoft announced the Facebook/Bing deal + a Twitter deal virtually identical to Google's.
  • Twitter stuck to its open-expansion-uber-alles strategy, announcing it's willing to play nice with anyone who will help it fend off Facebook from its niche.
The moves clearly demonstrate the increasing value of structured social data (aka the emerging social graph) to search services and should silence skeptics that have complained about the valuation of large social networks.

They also demonstrate one form of massive disruption to search markets: an all-out race to subsume new pools of structured data.  It's obvious that Facebook and Microsoft, who recently unveiled a deal to subsume computational search engine Wolfram Alpha, see this as one of the more effective strategies for countering Google's seach dominance. 

Prediction: Once these big deals are wrapped up I expect that we'll witness a slew of search-access deals with companies that control pools of unique search-relevant data  (e.g. IBM,Technorati, Second Life, stallite mapping services), perhaps eventually resulting in granular opt-in controls (similar to Google AdSense) for smaller niche federations looking to monetize their proprietary data.

Just think of search engines as big brains competing to integrate modules of novel, search-relevant structured data.

Viewing search from this perspective brings much necessary context to Google's long-term search growth plan, explaining why seemingly disparate initiatives like Maps, Earth, Google 411, books, etc are actually part of a cohesive strategy that will consistently add value to the company's core search offering over the coming years.  It is this deliberately planned integration that Google appears poised to retain its dominance.  Thus, minus an Earth-shattering search AI breakthrough, direct competitors like Microsoft, Yahoo and Facebook must acquire or grow their own pools of unique, relevant and integratable structured data if they are to keep pace.

At the same time, expect new entrants in regions such as Russia, China and India to either license their data to the hungry big boys or focus on the expansion of their native search efforts.  All that's required is some magic translation pixie dust.  Oh snap, Google appears to have that technology marketed cornered.

Conclusion: The social graph turkey is but a single, albeit core, item on the long table of search.  Expect many more scrumptious, exotic foods to emerge from the data kitchen.  Google does and has been adjusting its digestive technologies accordingly.

Popular posts from this blog

Donald Trump, Entertainer-in-Chief

The days of the  presidential  presidency are behind us.   JFK was the  first TV President . He and his successors exuded a distinctly  presidential vibe as they communicated confidently to the masses, primarily through color video, usually behind a podium or in high-power settings, on a monthly or sometimes weekly basis. Donald Trump is the first Web & Reality TV President.  He spent a decade as host and producer of the hit show  The Apprentice  and exudes a distinctly colloquial vibe across cable and the web. Trump prefers titanic business settings like board rooms and communicates to the masses at a daily or even hourly rate, even after the election. Twitter is his pulpit. Trump is a seasoned, self-aware, master content producer AND actor.  In sports, the equivalent is a player/coach, a Peyton Manning or LeBron.  He's calculatedly sloppy and unpredictable, which appears to boost his authenticity and watchability. Most importantly, he's relentless. Trump's m

Building Human-Level A.I. Will Require Billions of People

The Great AI hunger appears poised to quickly replace and then exceed the income flows it has been eliminating. If we follow the money, we can confidently expect millions, then billions of machine-learning support roles to emerge in the very near-term, majorly limiting if not reversing widespread technological unemployment. Human-directed  machine learning  has  emerged  as the  dominant  process  for the creation of  Weak AI  such as language translation, computer vision, search, drug discovery and logistics management. I ncreasingly, it appears  Strong AI , aka  AGI  or "human-level" AI, will be achieved by bootstrapping machine learning at scale, which will require billions of  humans  in-the-loop .  How does human-in the-loop machine learning work? The process of training a neural net to do something useful, say the ability to confidently determine whether a photo has been taken indoors or outside, requires feeding it input content, in this case thousands of diff

IBM Watson AI XPrize Pits AI vs. Human/AI Teams

XPRize and IBM have announced the IBM Watson AI XPRIZE , a multi-stage Cognitive Computing Competition  with  a $5 million purse that challenges "teams from around the world to develop and demonstrate how humans can collaborate with powerful cognitive technologies to tackle some of the world’s grand challenges." Interestingly, the competition will be open to human/AI hybrid and exclusively AI entrants alike. The contest will culminate in 2020 after a series of IBM's annual "World of Watson" prelim events and draw attention to the human-empowering aspects of Artificial Intelligence.  May the smartest neural array carry the day. Pre-registration is open now at  xprize.org/AI , and detailed guidelines will be announced on May 15, 2016. TED Blog XPrize Announcement