• Customers get access to Value-Driven AI through the DataRobot AI Platform, a unique and team-based methodology that enhances how businesses are managed, expanded, and optimized.
  • To help organizations maximize their current investments, DataRobot also unveiled a recently established cooperation with SAP.

This year, DataRobot Inc. is riding the tide of interest in artificial intelligence with the introduction of a significant upgrade to its AI development platform.

DataRobot AI Platform 9.0 is the most recent version, and it is currently accessible. New partner integrations, revised service offerings, and AI Accelerators are all included to assist businesses in realizing meaningful returns on their AI investments.

The DataRobot AI Platform offers tools for all of the crucial coding and software deployment processes required in developing machine learning applications and is intended to serve as the focal point of a company’s AI initiatives. DataRobot stands out because it caters to both corporate customers and data scientists. It offers a straightforward point-and-click AI builder for the latter group, enabling people to develop AI models without writing code.

It operates by first analyzing the task that the customer wants to automate using AI, and then it searches its library of pre-packaged algorithms for the best relevant neural network. Following that, the chosen neural network is fully automatically taught to complete that task.

Yet, data scientists frequently want to design their own unique neural networks, and DataRobot offers a feature called Composable ML to support this customer base. Customers can create a neural network using DataRobot’s no-code AI builder and customize it to their specifications using custom code; the business claims this method is quicker than starting from scratch.

With recent launch, DataRobot is introducing several new features to its platform, such as Workbench, a new user interface that the company claims will facilitate more collaborative experimentation and speed up the discovery of insights. To remove production obstacles and lower corporate risk, it also provides additional safeguards to guard against AI bias and automate AI model compliance.

Another feature is the new AI Accelerators and AI services, which, according to DataRobot, will assist clients in launching new AI projects and achieving results much more quickly than in the past.

In addition, DataRobot stated that its platform now has a brand-new connection with SAP SE and an improved Snowflake integration that will expedite data preparation, model creation, and monitoring. Clients may now build unique machine learning models in DataRobot and integrate them into the SAP application stack using business data from the SAP HANA cloud and other non-SAP sources.

According to Andy Thurai, principal analyst and vice president of Constellation Research Inc., AI, and machine learning are rapidly moving from experimentation to implementation. As a result, once a model has demonstrated its capacity to generate feasibly practical business value, it must be quickly implemented in production. DataRobot is enabling users to do this with today’s version.

“DataRobot is moving the conversation up the value chain. AI used to be model-driven, then later it was data-driven, and now with this push, DataRobot is making it business value-driven. If this works, it can sell to different personas at different ticket prices and a different value proposition than its competitors.” Thurai said.

Thurai clarified that one of DataRobot’s key advantages is that it employs more than 250 data scientists who collaborate closely with clients to advance their projects. DataRobot can also compete with hyper scalers like Amazon Web Services Inc. and Google Cloud because most of its new clients are cloud-based, according to the analyst.

Andy Thurai added, “The CI/CD, API, governance, and compliance improvements introduced today mean that DataRobot can easily plug and play with large enterprises, especially in regulated industries. The integrations with Snowflake and SAP mean enterprises can do their ML model work where the data resides without moving it around. In this way, DataRobot has created a true enterprise model based on business value, enabling it to sell at higher prices and longer terms than the competition.”

Ritu Jyoti, an analyst at International Data Corp., said the agreements are favorable since businesses require an AI solution that integrates effectively with their current investments and infrastructure. Ritu Jyoti further said, “With its platform and integration enhancements that make it easy for customers to deploy in their preferred environment, DataRobot has demonstrated leadership within a crowded market. Their compliance and governance is also uniquely positioned to drive value for customers today.”

With today’s release, DataRobot AI Platform, according to the company, is now accessible as a “Single-tenant SaaS” on Google Cloud, Microsoft Azure, and Amazon Web Services, enabling customers with the most strict security and compliance requirements to make use of a managed AI service. Red Hat OpenShift is now supported by DataRobot AI Platform’s on-premises version.

Debanjan Saha, Chief Executive of DataRobot, said, “Since our founding, we have been 100% focused on helping enterprises realize measurable value from AI by offering an AI lifecycle platform designed to solve business problems, and the applied AI expertise to help customers envision what’s possible – and achieve it,”