At Adverai, we are not content to just observe the state of marketing, we want to measure how marketing and the interactions with adverts changes over time.

This requires a new type of system that relies heavily on time to preserve information about the change that is happening, down to sub-second intervals.

We preserve information about change by collecting time-series data, which collectively represents how a system, process, or behaviour changes over time. 

Where time isn’t just a metric, but a primary axis.

By centering our platform around “change”, we can start to identify the interesting patterns that affect marketing in real-time.

Time-series dataset growth is exploding. We are in the midst of a fundamental shift in computing; with more data sources and datasets, cheaper storage, and fatter pipes. The world is creating massive amounts of time-series data streams and we need new ways to make sense of it.

A time series is a series of data points indexed in time order. Most commonly, a time series is a sequence taken at successive equally spaced points in time; a sequence of discrete-time data. Examples of time series are counts of sunspots and the daily closing value of the Dow Jones Industrial Average.  Time series are used in statistics, signal processing, pattern recognition, econometrics, mathematical finance, weather forecasting, earthquake prediction, electroencephalography, astronomy, and in any domain of applied science and engineering which involves temporal measurements.

Ad Adverai our goal is to collect and analyse these new datasets to find new ways to monitor the present, understand historical trends, troubleshoot the past, and predict the future.

The importance of being immutable

At the inception of Adverai, we quickly realised that we needed to abandon traditional data storage techniques and embrace technologies that would offer blazing-fast performance and efficient analytics queries, with very low CPU on incoming data, whilst at the same time giving us room to breathe and grow.

The time-series data we collect is immutable, with writes occurring as new appends to recent time intervals, not as updates to existing rows.

Immutable things are unchanging over time or unable to be changed.

Abandon Change
Abandon change

 

Unify all marketing data into one time-series platform

We replicate data from every marketing platform, dataset, and system and bring everything together in one place, at scale and at speed. MetaOS’s advanced pattern spotting capabilities enable you to create intelligent time-series for all of your marketing interactions.

Forecasting with deep neural models and time series data

We monitor the present, understand historical trends, troubleshoot the past, and predict possible futures to help drive the automation and optimisation of marketing using machine learning (ML) and Artificial Intelligence (AI). Whether you optimize the supply chain through better product demand forecasts or allocate store resources more effectively by predicting sales, there are few scenarios where forecasting does not quickly return its investment.

Building meta-understanding and automation machines for marketing requires a state-of-the-art time-series platform.  Discover more how Adverai can help your brand on our website or get in touch by email.

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