The main driver of modern civilization is manufacturing, which uses labor, equipment, tools, and procedures. In a competitive world, all of the factors mentioned above are open to modification... Read more »
By mid-2025, a range of test data systems will address various gaps. Primarily, however, they are all solving for privacy compliance while missing out on production realism. Despite high... Read more »
Walk into any engineering group today and you’ll notice something right away: data isn’t just a side-effect of the work. It is work. Code gets written, features ship, bugs... Read more »
Big Data in Waste Management: From Recycling to Food Waste Prevention Technology has revolutionized retail, transportation, and communication. Waste management is beginning to follow the same path. Yet America... Read more »
In today’s high-velocity digital economy, I found that many sectors require automated decision loops measured in milliseconds or minutes-far beyond the capabilities of traditional batch pipelines. Realtime analytics frameworks... Read more »
Legacy AML systems rely on static rules and siloed data, which often result in excessive false positives and slow investigations. As money laundering tactics grow more sophisticated, compliance must... Read more »
The area of MLOps has become much more than a buzzword-it is very much a fundamental part of AI deployment today. It is projected that the global MLOps market... Read more »
With the increasing volume, variety and velocity of data, non-profit organisations face a strategic dilemma: how to leverage data as a valuable strategic asset, whilst working with limited resources,... Read more »
The comfort zone of anonymization is breaking. For years, enterprises have limited their privacy goals to surface-level techniques of anonymization. Techniques such as Mask PII, which obfuscate identifiers and... Read more »
As organizations race to adopt generative AI tools-from AI writing assistants to autonomous coding platforms-one often-overlooked variable makes the difference between game-changing innovation and disastrous missteps: data quality. Generative... Read more »
