Machine Learning

Aible Ranked #1 for AutoML Use Case

  • Two-year-old AI startup ranked highest for the AutoML use case among 13 other vendors
  • Aible launches free AI Impact-Double-check (AID) to help enterprises evaluate financial gains from their AI projects
  • Aible continues to be the only enterprise AI company offering a “don’t pay us unless you see payback in one month” guarantee

Aible, the pioneer in impact-optimized enterprise AI, has scored highest in the Automated Machine Learning (AutoML) services Use Case in Gartner’s 2021 “Critical Capabilities for Cloud AI Developer Services” report. In Gartner’s evaluation of 13 AutoML providers, Aible scored the highest in the AutoML Use Case.

“We believe this recognition reflects our singular focus on generating tangible business impact in just the first month of an AI project,” said Aible founder and CEO Arijit Sengupta.

AutoML has become a key enabling technology for forward-looking companies. By fully automating the end-to-end ML workflow, Aible’s industry-leading AutoML enables teams to build successful AI projects across use cases such as sales, marketing, supply chain, operations and more. End-to-end automation takes you from raw data to AI-powered recommendations within your existing enterprise applications—in hours, rather than months or years.

Aible has helped leading companies achieve AI impact in one month using their existing people, skills, and systems. With Aible, Merrow Manufacturing, a global manufacturing company with $40 million in annual revenue, identified $3 million in additional sales leads within two hours. Additionally, a global online university uncovered $3.5 million in tuition fees using Aible for student retention. Furthermore, a multi-national HVAC identified $7 million in staff overtime savings with Aible.

Free AI Impact-Double-Check Helps Enterprises Evaluate Impact From AI

Aible has launched a free self-service tool called AI Impact-Double-check (AID) that helps enterprises evaluate their existing and future investments in AI technology. The tool (available on the website) enables businesses to see whether they’re getting the full value from their AI solution. It also helps them understand how to further optimize their AI solution to better align with their business needs and deliver improved cost and time savings. To evaluate your current AI projects and understand the real impact of your use cases, click here.

“While our competitors have started talking about ROI, they make it hard to calculate the actual ROI of their AI,” Sengupta said. “Aible’s free AI Impact-Double-check (AID) tool helps our competitors’ customers see the actual economic impact of their existing AI and confirm whether the AI is misaligned with their business benefits and costs. The majority of AI projects we see don’t line up with business realities, and the faster customers realize this, the faster AI will grow up from marketing hype to an everyday business infrastructure.”

Commitment on Delivering Impact to Customers

Enterprise customers typically see $500,000 to $10M annualized impact in the first month of using Aible. Aible gives enterprises the power to feed in their raw data to get AI-powered insights in an hour: this translates into payback in just one month—guaranteed. Enterprises are leveraging Aible’s award-winning technology to deliver impact across critical business functions, including sales, marketing, customer support, operations and finance.

Read the full Gartner 2021 “Critical Capabilities for Cloud AI Developer Services” report. Click here to find out how Aible can help your organization deliver impact from your AI project in one month.

Gartner, Critical Capabilities for Cloud AI Developer Services, 24 March 2021, Van Baker, Bern Elliot, Svetlana Sicular, Anthony Mullen, Erick Brethenoux

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

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