Oracle Adds AI, Machine Learning Features to Its Cloud Services
Today’s topics include Oracle adding artificial intelligence and machine learning capabilities to its software, and Pulumi launching a Team Edition of its infrastructure-as-code platform.
Oracle on Oct. 22 at its annual OpenWorld conference in San Francisco revealed some new artificial intelligence updates to Oracle Enterprise Resource Planning Cloud and Enterprise Performance Management Cloud.
Like past improvements, these all extract data-driven insights from enterprise data stores, helping companies capitalize on new market opportunities and increase profitability. However, according to Oracle Senior Vice President of Applications Product Development Steve Miranda, “The main news [Oracle is] announcing is happening in three main categories. First … machine learning is going across the board. You’ll see more bots in [Oracle’s] interfaces, for one thing. This will allow you to become more conversational and interactive with the apps.”
Secondly and more traditionally, Miranda said, Oracle is adding new products to its portfolios, including a new subscription management platform.
Third, Oracle is pre-packaging automation capabilities so that the influx of new customers moving more and more functionality to the cloud can do it in a relatively smooth fashion.
On Oct. 22, startup Pulumi announced a Team Edition of an open-source infrastructure-as-code platform that first became available in June, which provides features for organizations to build and deploy cloud-native infrastructure as code.
Alongside the Team Edition launch, Pulumi announced that it has raised $15 million in a Series A round of investment, led by Madrona Venture Group and joined by Tola Capital. Pulumi has a cloud-native software development kit, which is what developers use to author and share different components. Pulumi also has a cloud delivery platform that takes code from developer repositories and gets that code into the cloud.
The new Team tier of the Pulumi platform enables organizational teams to collaborate on deployment, providing insight into what is running.