In one of our previous articles Launching an AI project: first steps checklist, we explained the importance of planning in AI projects, mentioning the potential vs feasibility 2×2 matrix.

Used mainly by business consultants, this matrix is an effective way of presenting and interpreting information regarding the value of a new project or idea.

In this process, you should involve all business departments and team leaders to have a 360 degree understanding of the pain points of the business and what to prioritize. Every department of your business has a different agenda and will seek your attention. You’ll need the…


These days businesses have great visibility internally, into their sales, marketing, product metrics and strategies, but lack visibility externally.

To outdo competition businesses should implement Competitive Intelligence services that convert data into intelligence that can provide a real-time view of your competitive landscape. We’ve found great value in machine algorithms that can help identify trends and insights in vast streams of data and make faster decisions that potentially position businesses to be competitive in real-time or even ahead of time.

By competitive intelligence, we mean the company’s efforts to gather and analyze information about its industry, business environment, competitors, and…


In over 2,000 enterprises surveyed, 47% of these have already launched or are already using AI in their organisations. A lot of businesses are on the way to becoming empowered by AI, however, there are still a lot of businesses out there that struggle to understand AI, its value and what it takes to build.

The problem formulation is the very first issue for your team. In this phase, the teams will have to define the business needs to address. Then they will have to identify the expected outcome, and even more so, what various teams are going to use…


This quote from Gartner represents businesses increasingly adopting sophisticated technologies to achieve their goals. Artificial Intelligence is one of the most important business opportunities in 2019. Knowing what it takes to apply these new technologies to work at scale and give a greater competitive edge, is the real differentiator.

As with any other technology, a business considering AI should undergo a Proof of Value (POV) to get started. With a POV you will have proof that an AI solution will, in fact, meet your business expectations. …


Clients often contact us with questions and are curious to know about what AI can do in their organisations. However, they are often caught by headlines about AI changing this or that industry, hung up on the idea that AI will solve all their problems. Therefore, they jump on starting an AI project right away.

Most of these rushed projects fail, mainly due to the fact that most Machine Learning and AI consultancies get stuck building one or more Proof of Concepts (PoC) with little to no progression to an applied AI solution. …


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 bottom-line value, also functioning as an innovation accelerator.

On average, businesses estimate they spend around 55 hours per week on manual and paper-based processes and discrepancies/errors control, plus 23 hours of supplier or client management. By manually performing tasks, teams waste the majority of their…


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 seem like a huge loss, however, compounded annually, a business could be losing half of their customers. A lost customer is costly to replace when acquiring a new customer is 5 times more expensive than retaining an old one. Churn has become one of the biggest challenges, both for companies and the Product or Customer Success teams responsible for retaining them.

Predicting if a customer is going to stop using…


Marcia Oliveira introduces 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). 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 emphasis on client satisfaction.

The first version of CRISP-DM was proposed in 1999 as a result of a concentrated effort to identify and set out industry guidelines for the data mining process. Since then, several refinements and extensions were proposed. As of 2014, CRISP-DM was the most widely used…


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 to third-party service providers. Increasingly, organisations are looking at external parties to drive innovation”.

Data Scientists needed to slice through all the data and find insights, by building accurate prediction models, capturing patterns and anomalies in data that would normally take humans hundreds of years to process. …


All marketers are now familiar with the concept of personalisation and its benefits. Besides being a time-consuming task, it’s also known how complex and inaccurate the results can be. Here is where AI comes in; one of the great strengths of the collaboration between Machine Learning systems and Data Scientists is the ability to reduce uncertainty by organising, analysing and making sense of data. AI solutions also interpret sentiment and communication as a human would, this means that they can identify concepts and topic discussions across huge data sets, incredibly fast.

Where can you find data? Customers are constantly producing…

Marta Marino

Marketing Executive at Skim Technologies. Passionate about AI, tech for good and graphic arts.

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