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Who we are

Brainworkz is a company which, helps clients with their media campaigns. We use Adsequence system as a third party adserving tool to help delivery of Internet advertising campaigns. Adsequence measures advertising activities while serving ads and report their performance. Adsequence helps advertisers to deliver their KPIs.

The data we collect

We receive information automatically from visitor website. This may include information such as IP address, details about the browser you used to visit a site. This is generally used for Geo-analysys purposes. Online measurements are compiled and anonymous.

They essentially relate to Internet advertising campaign exposure: the number of impression of a banner, the number of clicks or the number of visitors having seen the campaign. Some statistics may relate to the performance of the campaign (‘return of investment’). In addition to that, Adsequence system use cookies to provide statistical data.

Access to information

We provide access to your personal information by require you to submit your request in writing at the e-mail address or postal address shown in “Contact” part. You will be given a right to access your personal information and correct, amend or delete it where it is inaccurate. We will provide your requested personal information within 30 days of receiving your access request. If we cannot fulfill your request, we will provide you with a written explanation of why we had to deny your access request

Retention period

We store the information for as long as needed for the purposes laid down in this Policy, unless a longer retention period is required or allowed by law.

Adsequence cookies

A cookie is a text file that records information related to your computer’s internet navigation. It is controlled by your browser. You may read it,destroy it or change it. It cannot have a virus or be executed and is in no way native. The cookie files installed by Adsequence system are completely anonymous and do not include other data but an anonymous user ID or opt-out variable. Cookies can be used to refine statistical analyses and recognize visitors during their various visits.In any event, you control these cookies: you may read them, filter them, refuse them and destroy them.

How can I delete cookie files already installed on my computer?

On your PC work station, you will access your cookies files under the C:\Documents and Settings\Username\Cookies folder (for Internet Explorer browsers). To delete a cookie, just select a cookie file and delete it. It may need your browser to be deactivated. For MAC work station: Open Safari if it is not already open, choose Safari > Preferences, and then click Privacy, click Details, select one or more websites that stores cookies, and then click Remove or Remove All.When you finish removing websites, click Done. The domain under the cookie is created is the following one: adsqn.com or adsequence.com

How to refuse or be warned of the installation of all cookies files?

You may decline the saving of cookies by configuring your browser. Internet Explorer users: http://support.microsoft.com/kb/278835. FireFox users: http://support.mozilla.com/cs/kb/Cookies  However, this can affect how you are able to interact with our site as well as other websites. This could include the inability to login to services or programs, such as logging into forums or accounts.

 

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Now researchers in Germany have developed a new tool to help grapple with enormous data sets and reveal big picture trends, such as climatic tipping points and their effects on species. The researchers created a software package based on the Python programming language that unifies complex network theory and nonlinear time series analysis - two important data analysis concepts.

A complex network is just that - a social, biological or technological network with patterns of connections that are neither regular nor purely random. Nonlinear time series analyses are often used to look at complex systems, including those that unfold in a chaotic manner. Many natural phenomena, like changing weather patterns, are nonlinear in nature—as are man-made systems, like financial markets.

Read more at: phys.org

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As Marketers, being data-driven has become part of the job. It’s part of the revolution that has been happening for the last few years.

At the center of this process, Analytics measure conversions and attribute sales. To help them, Attribution Models tie together conversions and traffic
sources by attributing credit to the latter. The consumer’s buying journey has evolved in the last few decades. Analytics struggle to understand the flow between all touch-points and fail to consider all the factors involved in a conversion. As a result, budget is invested where it shouldn’t be, because data is
flawed by current Attribution Models. Your marketing plan is not as effective as it could be. What does the future hold? What do you need to improve your marketing activities? What about Big Data and Machine Learning? Can they help?

Problem with Current Models
Analytics are pulling out an incredible amount of data. You can know who is doing what and what led them to do so. If you don’t know much about the various Attribution Models, I recommend that you read this article: Multi-Channel Attribution Modeling. Attribution Models are incredibly helpful: they help us determine the traffic sources’ role in each conversion. However, weighting conversions – as they do – is shortsighted. They don’t take into consideration the countless factors leading to a conversion.


Read more at: linkis.com

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It is hard to understate the impact open-source has had on technology. The idea’s roots go back to the dawn of the internet boom 20 years ago, a time when nobody was getting fired for buying IBM. Open source was the new kid on the block: young, irreverent, and ready to shake up long-held convictions.

In the time since open source has gone on to power devices, infrastructure, consumer electronics, government services, and more: technology written, created, and shared by thousands around the world openly. According to Black Duck Software, an estimated 78% of companies are running open source. This is certainly evidenced by a casual wander around any one of the many technology conferences in the world: the mantra is consistent…open, open, open. Today the business of open is alive and well.

Read more at: forbes.com

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On Monday, Google released TensorFlow, a new AI system that's used in everything from recognizing speech on a noisy sidewalk to finding photos of your pet dog Fluffy.

And in a rare move for Google, it's making its software open source, meaning anyone can access and edit the code.

The software passes complex data structures, or tensors, through a neural network, or artificial brain, hence the name Tensor Flow. This process is a core part of deep learning, a powerful AI tool that is used in many of Google's products.

Google says the new program is five times faster than its first-generation system, and can be run on thousands of computers or a single smartphone. Google uses it in everything from Search to Photos to Inbox. For example, it's what lets Google Translate detect foreign words on a street sign and translate them in real-time.

Read more at: businessinsider.com