Why AI should be seen as a tool not a human replacement
Artificial Intelligence should be viewed not as a replacement for human skills but as a means to enhance human capability. When used well, AI automates repetitive tasks, supports better decision-making, and gives people more time for strategy, creativity, and human connection. Its value lies in extending what humans can do, while humans remain in control of judgement, empathy, and ethical decision-making.
Why 2025 Is the Year to Stop Talking About AI and Start Using It
In 2025, AI has shifted from hype to practical use, and businesses — especially small and medium-sized ones — need to focus less on talking about AI and more on actually applying it where it brings real value.
Mixed methods research: Definition, types, benefits, and challenges
Independent variables are the predictors you set or measure first, and dependent variables are the outcomes recorded afterward. Define the two variables with clear units, timing, and coding;
Behind the breakthroughs: Using XLSTAT to understand consumer acceptance of biofortified foods
Consumer acceptance is critical for the success of biofortified foods—nutritional value alone isn’t enough. Using XLSTAT, researchers uncovered that sweetness, light texture, and smooth mouthfeel were the strongest drivers of preference for kisra made with nutrient-rich sorghum.
Mastering capital project cost risk with smarter models in @RISK
Large capital projects frequently exceed budgets and timelines, and traditional contingency planning no longer keeps pace. Learn how probabilistic models can help you take control of cost risk with @RISK through an infrastructure use case.
The state of AI in qualitative research in 2025
By 2025, GenAI has transitioned from siloed labs into mainstream qualitative research, thanks to robust performance gains and affordable access. Both academia and industry increasingly converge on responsible AI use—disclosing assistance, safeguarding privacy, and mitigating bias.
From data chaos to clarity: How Hemlock improved operations with Spotfire
Hemlock Semiconductor transformed its operations by using Spotfire to turn disorganized, siloed data into clear insights. With visual analytics, the company improved decision-making across manufacturing and business functions, enabling faster problem-solving and more efficient use of data.
Investigations in a Major European Bank
Cyber Threat, Risk & Fraud Investigations in a Major European Bank
Insider Fraud Investigation
A regional US Bank suspected they had a fraud problem but could not substantiate the suspicions.
Disconnected data in Criminal Investigations
Slow investigations and missed leads due to swivel chair data searching