CB Insights just released its M&A activity Report for 2012
The report breaks down the 2,277 private tech companies that were acquired globally in 2012, and examining corresponding trends.
Followings are some of the interesting facts to note:
As expected California saw the most private tech companies acquisitions.
Position on the top 3 markets globally suggests that India’s entrepreneurial tech community is becoming more established.
Google and Facebook have been the most aggressive acquirers last year, doing 12 acquisitions each. Five of Facebook’s acquisitions were for talents.
From the companies what were acquired, eight have been valued on more than $1 billion. Otherwise more than 50% of deals are less than $50M and more than 80% of the acquisitions are less than $200M.
In September Angel Resource Institute (Kaufmann) released its HALO report for the firs half of 2012.
The report indicates angel group investment activities have increased during that period.
Computer Intelligence is getting another boost through an innovative new design for artificial neural networks.
Known from her work on Artificial Recurrent Neural Network (ARNN) Hava Siegelmann of the University of Massachusetts Amherst is responsible for the breakthrough.
She is taken Alan Turing’s work to its next logical step. Her neural network models are capable of morphing and completely rearranging their design every time a new fact is learned. It means that her neural network learns an order of magnitude more effectively and faster than more traditional neural networks. Siegelmann claims that her model is superior not just in ability but also it requires significantly less computational power.
She received funding to develop the first ever “Super-Turing” computer based on ARNN.
At the same time scientists from the University of Gothenburg just demonstrated growing nerve cells (biological neural network) on nanocellulose that can be used to construct 3D brain models.
One way or the other we will get to true AI … the question is which approach will prevail; reverse engineering or evolutionary process!
The funds come from Silicon Valley-based Institutional Venture Partners, and brings the company’s total funding to $63 million.
Domo hopes to give executives and managers a single, customizable, sharable view of the business metrics that matter to them, delivering its product as an online service, similar to the way Salesforce.com, Omniture, Microsoft’s Office 365, and other software-as-a-service (SaaS) solutions work.
According to the founder Josh James, Domo aims at addressing the static and non-collaborative nature of existing BI offerings. It will aim at collecting a slice of the estimated $10 billion annual market for business intelligence services.
Good Data, a San Francisco startup that allows companies to collaboratively view and organize business data, has raised $2.5 million in a first round of venture funding. The company says it creates a secure space where teams can access, share, and collaborate on their data in a way that’s easy and affordable.
GoodData provided pre-built Apps to help users get started with their BI projects. For example “Subscription Analytics” tracks the Metrics That Matter in Subscription Businesses: