Machine Learning

Latest

• Success with the right project team

  What makes a project successful? Not only must the project have clear objectives, but the right team must also be put together. The latest technologies can help with this. This article explains how these can be used and what conditions must be met.

  Project Managment•Priska Burkard•17 Oct 2024•5 minutes

  

• 5 AI operating models and how they work

  This article will give you a deeper understanding of the most commonly used AI operating models including their advantages and limitations.

  AI & Machine Learning•Nicole Lontzek•11 Jan 2024•10 minutes

  

• Artificial intelligence and machine learning: what's the difference?

  The terms artificial intelligence (AI) and machine learning (ML) are frequently used in the marketing industry and unfortunately often mistakenly equated.

  Marketing•Alexander Löwe•4 Dec 2023•5 minutes

  

• What is Generative AI? - Everything you need know incl. Meaning, Models and Examples

  Explore the world of Generative AI: its meaning, models, applications, ethics, limitations, and future potential in this comprehensive guide.

  AI & Machine Learning•Benjamin Talin•10 Jul 2023•19 minutes

  

• Deep Learning and AI in the Supply Chain

  Exploit the potential of logistics. Artificial intelligence is conquering all industries, with incredible potential for automation and numerous docking points for AI-based applications. We can already automate transport and supply chains, optimize traffic flows and increase the security of goods and traffic. In the future, however, even more will be possible. Artificial intelligence in logistics: examples, opportunities, threats.

  Procurement•Hans-Dieter Blatecki•19 Jun 2023•8 minutes

  

• The future of parcel logistics: 10 trends for efficient last-mile delivery

  The parcel logistics industry is undergoing rapid change. The use of new technologies is opening up enormous potential in terms of efficiency, customer satisfaction and sustainability. Digital solutions in particular will play an increasingly important role in the future.

  AI & Machine Learning•Simon Seeger•25 May 2023•8 minutes

  

• Deep Learning vs. Machine Learning - Understanding the Differences

  Deep Learning and Machine Learning are two important technologies in the world of Artificial Intelligence (AI) and thus part of the umbrella term Data Science. Although they are sometimes used as synonyms, there are important differences between the two that need to be understood.

  AI & Machine Learning•Bastian Maiworm•10 Jan 2023•4 minutes

  

• Professions of the Future - The Profound Transformation of the World of Work

  Demographic change, artificial intelligence and sustainability pose enormous challenges for organizations of all kinds, especially in human resources management. Which professions will still be needed in the future, and which will become less important? And how can employers define a sustainable path for themselves? This is where the perspectives of futurology or foresight can help.

  Recruiting & Talent Acquisition•Kai Gondlach•3 Jan 2023•15 minutes

  

• The multi-talent chatbot: Satisfied customers and rising sales figures

  A study by the ZHAW School of Management and Law and PIDAS shows: In Switzerland, the acceptance of chatbots has increased. This can basically be explained by three overarching trends. On the one hand, the popularity of messenger apps is increasing more and more. Over 4 billion users actively use the Whatsapp, Facebook Messenger, WeChat and Viber channels. On the other hand, artificial intelligence is becoming more and more present in our society and is being used by more and more companies - including for chatbots. Furthermore, nowadays most people have the demand for immediate and personalized support. Chatbots can help here, linking customer service and sales and bringing potential customers and sales staff together.

  Bots and Assistance Systems•Blaise Roulet•24 Aug 2022•5 minutes

  

• Scaling Artificial Intelligence (AI) - 4 Reasons for People and Enablement

  Data has been called the most valuable resource of the new world. Ultimately, however, people are essential to derive value from data and apply it in innovative ways. Leaders recognize that advances in intelligent automation and artificial intelligence will have a significant impact on the workforce. And that they need to invest in talent that understands the intersection of data and algorithms and their impact on workflows. This article highlights strategies that will have the greatest impact on closing organizational skills gaps.

  Human Ressources•Britta Daffner•30 Jan 2021•5 minutes

  

• Big Data - data lake versus data leak

  Data and information play an increasingly important role in companies and increasingly represent a significant production factor. The concept of so-called data lakes promises much when it comes to the analysis of such data and information, supported by machine learning and artificial intelligence. However, there are not only advantages.

  IT-Security & Cyber Security•Klaus-Peter Kaul•11 Jan 2021•4 minutes

  

• 25+ most used Tech Buzzwords - easily explained

  Every day we hear these words and sometimes they are used like everyone knows what they mean. Here you will find easy explanations for 25+ of the most used tech buzzwords.

  Technology•Benjamin Talin•6 Jan 2021•13 minutes