There are two key barriers to entry on this front:
Data preparation: Data preparation accounts for about 80% of the work of data scientists. With that in mind, it is crucial for data scientists and related professionals to have robust, efficient tools to help them with the task.
I dislike inputting all of my data in because it takes a lot of time.
DataRobot has built out its platform through numerous strategic acquisitions (e.g., ParallelM for machine learning operationalization, Cursor for collaborative capabilities, etc.). Now, with its acquisition of data preparation tool Paxata, DataRobot is expanding its data offering, giving its customers access to a full-service end-to-end solution, with data preparation included.
It’s all inside
At G2, we’ve seen a proclivity for consolidation in the AI & analytics space, with platforms becoming or moving toward becoming end-to-end solutions. For example, Alteryx’s October acquisition of Feature Labs, a startup focused on feature engineering for machine learning and AI, is but one recent example of how acquisitions are driving innovation and competition in the data and analytics space.
Stay tuned for my next monthly column in which we’ll discuss how AWS is picking up on this trend with its latest updates to SageMaker.
Matthew Miller is passionate about emerging technology and its impact on society and businesses. He most recently worked as an AI Research Analyst at CognitionX, a London-based AI-powered Knowledge Network and host of one of Europe's largest Ai conferences. He also co-founded a pro bono voice technology group, VAICE, which has helped companies discover the best ways to incorporate voice tech in their business and their business models. At G2, he is focusing on the AI and Analytics categories and looks forward to learning more. Get in touch at firstname.lastname@example.org.