Tag Archives: ML

The need to clean data for effective insight

There is more data today than ever before. In fact, the total amount of data created, captured, copied, and consumed globally has now reached an incredible 149 zettabytes. The growth of the big mountain is not expected to slow down, either, with it expected to reach almost 400 zettabytes within the next three years.
Whilst more data generally leads to more insight, the quality of that insight can only be as good as the quality and relevance of the data going in. Ensuring that the right data is collected − not just in terms of volume but in context and accuracy too − is paramount. Once this bad data infiltrates the system, problems begin. Yet, keeping data clean and true can be a real challenge.

6178

The Cloud – Debunking the Myth

Mid-sized businesses are head down, wrestling with constantly evolving operational challenges, from skills shortages to supply chain delays and raging inflation. Management teams lack the time and often confidence to explore technology innovation and, as a result, too many companies are missing vital opportunities to cut costs, boost efficiency and reach new customers.

3871

Does AI have a positioning problem?

John Galpin, Co-Founder Design by Structure, looks at the state of AI today, its role over the next decade, and its positioning problems with clarity, perception and choice of language. 

11176