Improve Your Testing with Sentient Ascend’s Incredible AI Technology

Sentient AI is one of the world’s leading technologies in distributed artificial intelligence. It is the producer of the first conversation rate optimization solution that uses the artificial intelligence to evolve the winning designs for the online marketers. Currently, it is one of the technologies that boost e-commerce. With their introduction of the A/B and Multivariate testing solutions, the measurement speed has improved over 100 times.

Additionally, with Multivariate testing, sentiment gives freedom to the marketers to try more images, copy, design and the interaction changes to accelerate the path to increased conversations and revenues. The existing A/B testing tools can only evaluate the impact of one marketing idea and needs substantial traffic to achieve a result while multivariate testing requires more traffic to test a limited number of changes.

About Multivariate Testing

Multivariate testing is the best-kept secret at Sentient AI that allows the performing marketers to compress the years of testing into a single month. It is a new program from sentient technologies that let the CRO experts test all ideas simultaneously instead of having to check a handful of ideas. It uses the genetic algorithms to find the best ideas within an individual get the double digit KPL growth and evolve the site designs at the same time it takes to run a typical A/B test.

Multivariate testing solution is considered a savior to several companies. Probably, the available solutions are too slow and require a lot of traffic to cope with testing a handful of potential designs. Hence, multivariate solutions save the companies time and money since it can check all the ideas at the same time. Furthermore, it offers the marketers ability to test changes across the entire sales funnel and the multiple pages using a single test.

Contribution of Sentient AI to E-Commerce

Designing of user experiences that convert several users from being casual browsers to paying the customers is a critical goal. Despite those well-known design principles that include consistency and simplicity exist, there are also unexpected interactions between page elements, which determine how well it converts web pages and communications.

However, sentiment has emerged to solve all the e-commerce challenges through conversation rate optimization. The method that most of the practitioners use is A/B testing that involves designing two different version of the same page, showing them to various users and collection of the statistics on how well each page is in conversion. Hence, the process allows incorporation of conversion optimization which after observation of results, new designs can be in the introduction.

Fit AI With ‘Ethical Black Box’: Researchers Emphasize The Need For Safety

As much as we like to think it, we are indeed already living in the future, and have come to a point where robots walk among us, helping us with our everyday activities. As new AI is making its way across numerous sectors and arrays, the need to better equip them with the technology to make better decisions is also on the rise. With the recent report of a security AI called the K5 falling into a water fountain in Washington, researchers have now begun a debate as to whether or not these androids should be fit with black boxes that help them depict human emotions on fear and logic, to help them make better decisions.

In a conference that took place at the University of Surrey, numerous researchers came forward to discuss this need and pose the pertinent questions of safety for these machines, not just for themselves, but for the people around them as well. Since these bots are not controlled by the humans who make them, they on some level already have their autonomy while performing their actions. But to make it so that they don’t cause harm and inconvenience to the people around them, these AI need to be a lot smarter.

Self-driving cars are a good example of this and show the need that is currently prevalent. After Tesla Motors had started putting out their self-driving cars, numerous accidents were reported as a result of the inconsistencies with the AI that was being used. The AI began to malfunction and was not able to properly adapt to the variable surroundings, which is where researchers think an ‘ethical black box’ would come in handy. However, a factor to consider is the consequence of having AI with human emotion which is autonomous, which would then pose a much greater threat to humanity.

New AI Venture Capital Program Reportedly Launched by Google

Recent reports indicate has launched a venture capital division that focuses on artificial intelligence. TechCrunch reports the new division will be run by Anna Patterson, who is a longtime vice president of engineering at Google. The program will include a cast of engineers instead of Google’s traditional cast of venture investors. It is no surprise that Google plans to build a venture capital program based on the company’s CEO recent announcement it will become “AI first” instead of “mobile first.”

 

Google introduced new processing unit chips that engineers promise will train AI faster for businesses and researchers. The company also announced at the I/O Developers Conference that its virtual personal assistant, Google Assistant, will become more conversational. The new development also plays into the hands of the company’s recent acquisition of Kaggle, a software platform that hosts machine learning and data science competitions.

 

Reports indicate that Google’s new AI venture capital arm will work separately from its investment organization, Google Ventures. The new program aims to target AI startups and to offer mentorship from some of the company’s best people in its AI department. Some entrepreneurs are wary of Google’s foray into AI corporate venture capital, thinking the company may be biting off more than it can chew. However, tech experts are quick to point out that Google is an industry giant and is a powerhouse in AI research and development.