Most organizations investing in AI, very few succeeding - Help Net Security

Today, only one in three AI projects are succeeding, and, perhaps more importantly, it is taking businesses more than six months to go from concept to production, according to Databricks. The primary reasons behind these challenges are that 96 percent of organizations face data-related problems like silos and inconsistent datasets, and 80 percent cite significant organizational friction like lack of collaboration between data scientists and data engineers. IT executives point to unified analytics as a solution for these challenges with 90 percent of respondents saying the approach of unifying data science and data engineering across the machine learning lifecycle will conquer the AI dilemma. The survey, conducted by IDG, surveyed 200 IT executives at larger companies (1000 employees) across the U.S. and Europe. So, what will help these organizations conquer the AI dilemma?