Sales forecasting and sales opportunity discovery using AI and deep learning

Selling is a process par excellence, especially in a B2B context, where human interactions play a crucial role. AI, Deep Learning and Sales Forecasting can play an important supporting role in uncovering opportunities and thus supporting these interpersonal relationships.

Artificial Intelligence (AI) and Machine Learning (ML) applications in logistics, supply chain and warehouse management

Artificial Intelligence (AI) and Machine Learning have applications across almost all sectors and business units. Processes in which a lot of data is collected are of course excellent candidates for such applications. Just think of logistics, supply chain and warehouse management.

7 tips for choosing the right AI software for your project

Every AI or Machine Learning project is unique: diverse data sets with different variables, integrations in or with existing software or hardware and different expectations and goals to be pursued. The decision as to how a business case should be set up technically in practice is an important factor in its ultimate success. In this article a number of important points of attention are summarized to take into account when choosing a suitable AI software.

DPG Media; “Trendskout algorithm is our first line of defense for inappropriate reader responses.”

Readers' reactions to news items do not only form fodder for discussion on the newspaper websites themselves, but also outside them. Many editors are scratching their heads about how to maintain the balance between sufficient participation and a civilised debate in the comment sections. Where many news media decided in recent years to completely disable reactions, Het Laatste Nieuws took a different approach with its strict moderation of reactions.

Industry 4.0 and AI in manufacturing

Since the first industrial revolution and the introduction of steam machines, numerous innovations have shaped the manufacturing industry. Pioneers such as Adam Smith have optimised the production process through their thinking and inventions. The focus was always on higher productivity and improved cost efficiency.

The relationship between AI adoption and economic impact

A summary of insights from Harvard Business Review, MIT and McKinsey

Artificial Intelligence, Machine Learning and Deep Learning: what is the difference?

Was it Machine Learning (ML), Deep Learning (DL) or Artificial Intelligence (AI)? If you look beyond the buzzword bingo to correctly interpret the terms, you soon lose track. What exactly do the different concepts mean and how do they distinguish themselves from each other in practice? An overview.

Is AI taking over our jobs? 10 professions that will never disappear

Smart algorithms are conquering the world. Or at least that is the impression we get, now that technological evolutions are taking place at a scorching pace. According to studies, the recent growth of Artificial Intelligence and Machine Learning will soon cause many jobs to change fundamentally or even disappear completely.

Artificial intelligence in organisations: project approach vs. AI-software

Data has rapidly become an important driver for innovation. They are often presented as raw material that is difficult to extract, and which also requires the right kind of refining. As is often the case, there is solid ground of truth in this cliché image. Many companies, organizations and research institutions face the same challenge: how to extract and process data in a cost-efficient manner that delivers business value at the end of the journey? We compare the classic project approach for AI with Trendskout AI software.

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