Why do we need Explainable AI? Systems that rely upon artificial intelligence to make decisions are often black boxes that produce values which are interpreted to signify a certain meaning. There is often no explanation of how the system arrived at these values. This lack of explanation may not be an issue for problems such…

From research to care, Breast Cancer Care and Breast Cancer Now put people affected by breast cancer at its heart providing support for today and hope for the future. United, the charity has the ability to carry out even more world-class research, provide even more life-changing support and campaign even more effectively for better services…

The Skim Team have been working on new features for our Skim Engine. The first of which was announced at the beginning of the week relating to Entity Extraction. For this feature our team focused on Geo Tagging. The Skim Engine will be able to extract any geographical locations – villages, countries, cities, oceans, rivers,…

We’ve been working on upgrading and improving our Skim Engine, expanding its already existing capabilities for data extraction. Generally, the Skim Engine is able to transform unstructured data into structured and machine-readable data. The available data is used for standard processing that can be applied for retrieving information. For this particular feature of entity extraction,…

According to the McKinsey global survey; Supply Chain is one of the top areas where businesses are gaining greater revenue from Artificial Intelligence and technology investments. 76% of the respondents reported moderate to significant value from deploying AI in their organisations. In fact, AI for supply chains hold high potential for boosting both top-line and…

In this blog, one of our Data Experts Marcia Oliveira explains 4 reasons why Machine Learning for Churn Prediction is more efficient than traditional methods. No business is immune to the risk of losing customers, but is there more you could be doing to retain them? A monthly customer churn as low as 5% doesn’t…

In this blog, we are introducing two well-known Data Science methodologies for project management, namely, CRISP-DM (Cross-Industry Standard Process for Data Mining) and Microsoft TDSP (Team Data Science Process). Here at Skim Technologies, we adopted TDSP as a guiding Data Science methodology to help us build great products for our clients as it places more…

UK & US Data Scientists demand vs supply Data Scientists demand is fueled by the increasing commercial adoption of Machine Learning and AI-powered solutions. In an article, Raconteur quotes a recent report from Accenture, forecasting that “AI will add £654 billion to the UK economy by 2035. A significant portion of that will be outsourced…

By Marcia Oliveira 20 minutes read In this article, we look to dispel the myth that AutoML is replacing Data Scientists jobs by highlighting three factors in Data Science development that AutoML can’t solve, and why. 3 Reasons Why AutoML Won’t Replace Data Scientists Yet. Automatic Machine Learning (or, simply, AutoML) is a field that…

By Marta Marino and Jack Hampson10 minutes read In this blog, we will provide you four applications of AI in Marketing to overcome your data challenges. We will talk about how our Skim Engine can help you to scale your business and the ROI from this data revolution, for your organisation. All marketers are now…

There’s a lot of press given to Artificial Intelligence and Data these days, and justifiably so. It’s seeping into every corner of the industry, disrupting incumbents and re-inventing the unimaginable. But there’s a lot of businesses that are still yet to understand the value their unstructured data could have on their business. 80% of the…

By Skim Team10 minutes read OUR INNOVATION DAYS Use cases that feature how AI technology and Data Science are helping solve environmental and humanitarian causes have grown in popularity because of their increasingly positive impact. At Skim we believe in a bright future, one that will see the widespread adoption of AI technologies and Data…

By Marta Marino and Jack Hampson 10 minutes read In this blog, we will walk you through three applications of AI in Insurance, using our Skim Engine’s capabilities with unstructured web data, and the ROI from this data revolution for your organisation. Insurance 4.0 This year is predicted to be a year of disruptive innovation…

Machine learning and data science are cutting edge fields, revolutionizing industries and reshaping the way that businesses operate. We are proud of our status as industry leaders, and we are pleased to share that our reputation as leaders has grown in the start of 2019. We are featured on Clutch, the premier ratings and reviews…