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Most common mistakes made with AI as a service

Posted by Julia Guesmia on 19/11/2020

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Most common mistakes made with AI as a service

 

Most companies have no issues with data science however, the most common mistake made by companies is failing to effectively link their data to develop effective AI solutions, thus why they fail to attain their business goals. 

In other instances, companies may go too left field and find it difficult to integrate data science into their existing processes - usually because it takes time for these firms and institutions to catch up. For example, what often happens is companies will be missing data from required forms and data scientists have no other options than to wait on this information - which can go on for months! 

Our team have gathered the top 3 tips on how to make the best of a solid AI strategy with proven bottomline results: 

1. At the first stages of adoption, ensure your team has thoroughly been advised by a few AI leaders not adopters. There is a lot of information online that you should also be taking advantage of with over 100 papers published, with the most recent article on “Nature Machine Intelligence and the Transactions of the Royal Society”.

2. AI Leaders are illicit experts for approaching AI at a statistical machine learning perspective to neural-symbolic computation. This is the inception point that is vital when going from the early stages of adoption to implementation so that your business goals meet and align to the expectations of the potential technological solutions. 

3. Business intelligence, data analytics and visualisation are the three main milestones you need to be aware of when venturing out on your AI project.  

Oxford Immune Algorithmics, a reputable Biotech and AI company who over the past years have proven over 2,000  year old problems in areas including blood tests, medical science and optics. 

 

The company is well established and is known for developing the next generation of AI. 

RaboBank, CitiBank, Volkswagen and EON are just some of the clients they have worked with. 

 

If you are interested in learning more, please visit https://www.oxfordimmunealgorithmics.co.uk

 

We are excited to share that Savant Technology has partnered with Oxford Immune Algorithmics who are a reputable biotech company. Recently they have developed the platform Algocyte, that applies AI and Machine Learning to harness the transformative potential of regular health and personalised immune monitoring.

Savant Technology and Oxford Immune Algorithmics are working in partnership to deliver Data Science, Machine Learning and AI consultancy services as well as additional recruitment resources required for programme projects at a highly competitive rate. For more information please visit www.savantrecruitment.com or contact Peter Kyriacou directly on peter.kyriacou@savantrecruitment.com.

 
 
 

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