Benchmark from a Fortune 500 company shows 1,000x improvement in cost ($80 vs. an estimated $200K with traditional approaches) and 10x improvement in analytics/ data science project time (14 days vs. 4-6 Months) on Google Cloud. Customers can now implement Aible on their Google Cloud account in 15 minutes via the Google Cloud Marketplace.
SAN FRANCISCO, CA / ACCESSWIRE / March 14, 2023 / Aible, the only enterprise AI solution that guarantees impact in 30 days, is now available on the Google Cloud Marketplace. With this launch, enterprises will be able to securely deploy the end-to-end serverless solution for augmented data engineering, analytics, data science and machine learning in their Google Cloud accounts within 15 minutes.
Benchmark for Speed and Cost of Analysis From Fortune 500 Customer
Google Cloud and Aible announced the results from a benchmark study at a Fortune 500 insurance company. The study compared the improvements in speed and cost of analysis between Aible's end-to-end serverless AI running on Google's serverless BigQuery to their traditional analytics and data science projects. The benchmark was performed using Aible on BigQuery without any special optimizations and the company had sole discretion over what datasets they used. In two weeks, over 75 datasets of various sizes with a total number of rows exceeding 100 million were evaluated. Over 150 million variable combinations were analyzed and the total cost across the entire evaluation was only $80. In comparison to their traditional analytics and data science projects, the AI-first end-to-end serverless approach was 1,000 times more efficient compared to traditional servers. Read the full story on this Google Cloud blog.
"For too long we have analyzed only a small percentage of the available data. Why? Because analysis today is human-first and expensive. Aible enables true AI-first analysis with dozens of case studies we have published with Google, Intel, and others demonstrating users were able to analyze data completely automatically in minutes. But we were always asked - what if the automated analysis revealed the data was not worth analyzing? Shouldn't we get our data in perfect shape before we analyze it? This benchmark study proves that the cost of automated analysis is now so low, that you are better off just analyzing data first and seeing what the data quality issues are, than waiting to analyze the data. This is the exact same dynamic that played out in the shift from Yahoo to Google. For too long we thought only expert humans could categorize the web - and as a result, only a small portion of the web was categorized. When Google fully automated that same process and cut the cost of evaluating a page by 1000x, the market shifted to evaluating every webpage. We still use humans in the loop at the end of the process, where most of us click on just a few of the search results instead of choosing 'I am feeling lucky' but the automated approach always dominates when the cost gets low enough. This is that moment in the world of analytics," said Arijit Sengupta, Founder and CEO of Aible.
"Aible's platform provides important tooling and capabilities that helps business users, who are a whole new type of AI developers, better and more efficiently utilize their data," said Manvinder Singh, Managing Director, Partnerships at Google Cloud. "We're excited to make it very easy for AI customers to deploy the Aible platform on Google Cloud, and to support Aible's architecture, scale, and model training with Google Cloud infrastructure, BigQuery, and Vertex AI."
This absurdly low cost of analysis was not a fluke. Similar benchmark results from other enterprises including a Fortune 500 technology company, a Fortune 500 telco, and a top five airline will be featured at the upcoming Gartner Data & Analytics Summit, in Orlando, FL, on March 20-22, 2023.
Leading Enterprises Migrating to Google Cloud to take advantage of Aible's end-to-end Serverless AI and Vertex AI
With its latest product release, Aible combines an end-to-end serverless architecture and in-browser Information Model manipulation with serverless queries in Google BigQuery to cut augmented analytics costs to 1/1,000th compared to other cloud data warehouses and BI tools. Several enterprises across industries who leverage Aible have migrated their analytics backend databases to Google Cloud to take advantage of serverless analysis of any size data which translates into both cost savings and speed to results. Additionally, with the ability to automatically create dynamic Looker dashboards in seconds without writing a single line of LookML code, leveraging BigQuery without coding, and even using Vertex AI to train models without any coding, Aible empowers business users to easily leverage the power of Google technology. Aible also enables scalable collaboration across user types to help organizations build consensus and act faster.
To meet representatives of these enterprises that were part of benchmark evaluations at the Gartner Data and Analytics Summit in Orlando, FL, March 20-33, schedule a meeting here.
Aible now available on the Google Cloud Marketplace
The following Aible products are now available on the Google Marketplace:
- Aible Sense (Augmented Data Engineering)
- Aible Explore (Augmented Analytics and Automated Dashboards for Looker)
- Aible Optimize (Augmented Data Science and Machine Learning)
Google customers or enterprises looking to improve their speed and cost of analytics can now implement Aible on their Google Cloud account in 15 minutes via the Google Cloud Marketplace. Details available here.
Aible is the only enterprise AI solution that guarantees impact in 30 days. The solution meets CIOs, CDOs, and business teams wherever they are on their data-driven journey - from data readiness and guided exploration with augmented analytics, to driving impact with optimized AI recommendations in end-user applications. With Aible, businesses go from raw data to valuable insights in hours and to measurable business impact in 30 days or less - guaranteed. Discover real-world AI at www.aible.com.
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