In 2019, the question is not why deploy AI but how.
As with most technological implementations, the build-or-buy question looms large. There is no one-size-fits-all solution to this quandary and the right answer will depend on a confluence of factors, including how much data you have, your timeline, and your budget.
Large funding rounds over the past month have shown us that whether you are looking to build your own AI solution, buy an off-the-shelf solution, or mix and match, there are robust solutions for you on the market.
SparkCognition straddles the line, allowing you to buy some solutions (e.g., SparkPredict, DeepArmor, and DeepNLP), while also providing your data and AI experts a tool to build and maintain machine learning models (Darwin).
However, not every company has the data science experience necessary to train models and build their own AI solutions. Therefore, another prevalent and prominent approach we have seen is AI consultancy, or artificial intelligence consulting providers. A big player in this space is Element AI, which raised $151 million last month to bring AI to more enterprises.
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 cofounded 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, Matthew focuses on the AI and analytics categories and looks forward to learning more. Get in touch at firstname.lastname@example.org.