According to a recent survey, 47% of companies today consider AI/ML as a top priority in 2024. Yet, according to Harvard Business Review “cross-industry studies show, on average, less than half of an organization's structured data is actively used in making decisions—and less than 1% of its unstructured data is analyzed or even used at all.” ¹

This statistic should concern R&D or Engineering decision-makers. Companies are drowning in data, and very few companies can leverage their data because they are stuck trying to find, access, and connect various data sources. So first ask yourself these three questions:

The recent announcement on Reuters outlining the new partnership between GM and Honda, to bring two EV vehicles to market for a safer world exemplifies the pressures automotive manufacturers are under today. Honda and GM Partner for EV – Reuters, April 2, 2020  This announcement is not surprising as it is drafting behind GM and Honda’s current collaboration on autonomous vehicles and fuel cell vehicle technology. The companies worked together on the design of an autonomous vehicle called Cruise Origin for GM’s majority-owned Cruise Automation unit.

There’s a rumble in the Automotive Industry. A survey of automotive industries stakeholders, conducted by Jabil, showed that automotive companies are shortening product development timelines to meet new market requirements. The automotive industry has undergone a number of industry-shifting developments over the past several years. The introduction of electric vehicles and the continued development of ADAS technologies are leading these transformations. We’ve seen new challengers in the automotive industry popping up, and rapid innovation within leading automotive companies.