As the world of business becomes increasingly complex, finding solutions to problems in the office is becoming more crucial. Artificial intelligence (AI) technologies have stepped in to give us a helping hand, and are quickly transforming almost every sphere of our lives. The impacts of AI have been felt everywhere, from how we communicate to the means we use for transportation. Web analytics is no exception; AI is being used to increase accuracy, save time and provide large amounts of in-depth data.
Almost everything you need to know is in the name ‘AI analytics tools’ – AI systems combine and utilises machine learning and other types of data analytics to achieve artificial intelligence capabilities. Already there are some big organisations that have cornered the web analytics market. Most of these tools can be ‘add-ons’ to Google Analytics. This means they simply hook into any Google Analytics account and process the Data for you, however, some do work independently of Google Analytics.
Here’s our rundown of the best AI analytics tools available on the market today:
Paveai is designed as a fully automated system that works alongside all social and web platforms from start to finish. Its algorithm boasts over 16 million combinations to identify the most important insights across all marketing channels. It gives you recommendations for how to improve on your ROI and presents your analytics data in beautiful layout PDF reports. It uses AI to present optimal campaign suggestions and is a strong tool to easily understand and optimize your traffic.
Needl Analytics is designed as a tool for the advanced data scientist that needs a professional tool to delve deeper into Google Analytics. Needl delivers the findings as web reports. It is an advanced AI-based tool that you can configure to search for patterns in your data, ideal for experienced users.
Canecto works independently of Google analytics. The strength of the system is that it covers traffic, on-site conversions, user journeys and content optimisation, giving you a broad insight into how best to improve your site. Just like Paveia, Canecto will send your reports in an easy to understand PDF format.
Peak.ai
Peak.ai system is powered by machine learning algorithms that continuously learn and get smarter over time, unbiased and error-free, Peak.ai is able to deal with very large quantities of data. It offers businesses an AI system on top of an on-call service team to undertake tasks that range from cleaning data, collecting data, data munging, feature extraction and managing infrastructure for machine learning solutions.
TensorFlow is an open source machine learning framework that is simple to use and organise across a range of platforms. It is one of the most well-maintained and expansively used frameworks for machine learning. Created by Google for supporting its research and production objectives, TensorFlow is now widely used by several companies, including Dropbox, eBay, Intel, Twitter, and Uber.
Scikit-learn has more of a traditional framework as it was written in Python. It features several machine learning models including classification, regression, clustering, and dimensionality reduction. However, Scikit-learn focuses on data mining and data analysis.
Microsofts Azure Machine Learning Studio is a collaborative, drag-and-drop tool. You can use to build, test, and deploy predictive analytics solutions on your data. Azure Machine Learning Studio publishes models as web services, it can be consumed by custom apps or BI tools such as Excel.
Ayasdi is a machine intelligence software company. It offers an AI software platform with a straightforward web-based interface. They use hundreds of thousands of records but data processing remains fast. The visualization of this software is simple and effective, Ayasdi provides handy navigation, with necessary descriptive statistics.
The objective of Salesforce Einstein — AI Software, is to provide the sales and marketing departments updated views of sales prospects. Einstein is the best solution for looking at an entire division or team’s pipelines. When you need to forecast deals and categorize them according to quality, it is on hand to give you a perfect view to easily assess the numbers.
With a number of big players including Google and Microsoft making waves in the AI analysis sphere, it will be interesting to see how this potentially massive industry develops in the coming years.
