The video below provides insights that can be of use to any enterprise embarked on digital transformation (which these days is most every enterprise).
In the video, Jad Naous and Frank Chen of a16z discuss ways enterprises are changing their decision making because of digital transformation (including, for example, pushing decisions further down the organization or empowering more people to make more decisions instead of waiting for command from above).
This type of change is then enabling changes to organizations and will also cause further innovation in technology, fueling even further innovation focused on productivity.
Naous and Chen help highlight several elements of this transformation that will be of use to enterprise technologists and to innovators building solutions for them. For example, this is creating opportunities for startups to re-tool the entire business intelligence data pipeline. To support this new style of decision- making, we need to store, analyze, and report on data in a fundamentally different way. The good news is that startups and open source projects are starting to enable this new style of decision making.
Three categories of startup opportunities are provided:
- Providing platforms,tools, and services such as Data Bricks’ Unified Analytics Platform, Imply’s Druid, Optimizely, Instabase, Gigster and Sigopt to enable this new style of decision making
Providing “full stack” solutions for specific roles in an organization, such as sales (People.ai), marketing (ActionIQ, Cresta.ai), support (PagerDuty, Dialpad), R&D (Github), legal (Everlaw), HR and finance (Accolade)
Providing “full stack” for specific industries, such as automotive (DeepMap, Applied Intuition), financial services , energy, mining (KoBold Metals), logistics (Samsara), government (OpenGov), defense (Shield.ai), retail.