How to Know When You Are Ready for AI

Everybody knows the enterprise needs to move towards a digital future. We speak of “data-driven organizations“. But in¬†marketing in particular, but eventually in any other part of the modern enterprise, there is one question managers are asking these days: faced with the onslaught of artificial intelligence solutions and all the buzz about it, when areContinue reading “How to Know When You Are Ready for AI”

How to Estimate an AI Project’s Data Needs

One of the biggest challenges in today’s business world for mid and top-level executives is to correctly estimate data needs of new AI projects both at inception and over time. You may also want to read: Machine Learning in the Organization: First Steps The main questions which arise here are: what kind of data doContinue reading “How to Estimate an AI Project’s Data Needs”

The New Frontier: Improving Customer Experience through AI

There are actually two frontiers when it comes to improving customer experience in an enterprise, namely the voice of your customer and the voice of your employees. Customer feedback is integral to optimizing service offerings, improving products, and increasing operational efficiency. Yet a lot of feedback is misplaced, irrelevant, or even vicious. Disgruntled customers withContinue reading “The New Frontier: Improving Customer Experience through AI”

Opportunities Created by AI Outweigh Imminent Threats

Artificial Intelligence is in the headlines. You can’t escape it. Some fear its job-destroying impact, others its threat to human self-worth. The immediate future of AI is a lot more complicated — and promising. People are confused. AI is either considered to be a giant leap towards modernization or a catalyst for massive unemployment. ForContinue reading “Opportunities Created by AI Outweigh Imminent Threats”

The Fall of the Language Barrier Brings Huge Cultural Challenges

The time has come when machine translation, first conceptualized in the 1960s, is finally useful. Google and hundreds of smaller companies have developed algorithms, mined data, used human translation examples and employed syntactic and contextual analysis and every tool in the book to come up with software that essentially¬†breaks down the language barrier completely. YouContinue reading “The Fall of the Language Barrier Brings Huge Cultural Challenges”