The Lyve Cloud Analytics platform, a full cloud-based analytics solution that includes storage, compute, and analytics, has been launched by Seagate Technology Holdings (NASDAQ: STX), a global provider of mass-data storage infrastructure solutions. The analytics platform is intended to assist Seagate Lyve Cloud clients in reducing total cost of ownership (TCO) and accelerating time to value with their DataOps and MLOps projects (machine learning operations).
By adding the analytics capability to the cloud storage offering, Seagate would enable enterprises to activate their stored data in an open data lake architecture for analytics at petabyte scale, further accelerating time to implementation and innovation, and yielding significant cost savings compared to other market-available offerings.
Multicloud has become a popular cloud approach for businesses in the modern datasphere, however complicated data access problems and unpredictably high prices limit effective data use, according to Seagate. For businesses that extensively rely on acquired data to educate their data analytics, artificial intelligence (AI), and machine learning (ML) systems, these difficulties would present even bigger obstacles. Due to a lack of appropriate tools to scale, just 53 percent of AI initiatives reach production from prototype, according to research firm Gartner.
Leveraging its own extensive manufacturing experience, Seagate is providing pre-configured full-stack analytics code solutions for time-series, tabular data management, and image analytics along with included professional services. It can significantly shorten the time it takes to implement analytics in a production environment. According to Seagate, it could be reduced from 12 to 18 months to less than 4 months.
“With the increasing use of data analytics and AI to achieve greater efficiency, sustainability, and innovation for business growth, the introduction of Lyve Cloud Analytics platform was the most sought-after feature for Lyve Cloud,” said Ravi Naik, Chief Information Officer (CIO) and Executive Vice President Storage Services at Seagate. “Through Lyve Cloud Analytics platform, we allow our customers to break data silos and harness the power of data. We believe the platform with our professional services will make critical decision making easier, leading to higher efficiency, faster innovation, and business growth in the long run.”
Reducing Wafer Cycle Time
As one of the biggest manufacturers of data storage, Seagate also needed to set up the proper cloud infrastructure. Over 50TB of picture and parametric data are produced daily by Seagate’s seven large-scale AI-enabled production facilities across the world, which are added to its 15PB data lake and made available for analytics.
“As Seagate strives for best-in-class quality and efficiency, we have invested heavily in analytics and AI. One of the biggest improvements is in our wafer manufacturing process where we successfully removed a number of the tens of thousands of steps in the overall production process,” said Sthitie Bom, Senior Engineering Director at Seagate Technology. “Within a two-year period, through the analytics framework developed by the Seagate team, we increased the number of skippable sampling steps by 150% which allowed us to significantly reduce wafer cycle time. We anticipate an additional three-fold increase as our analytics framework advances within the Lyve Cloud Analytics platform over the coming years, resulting in significant capital savings.”
The Lyve Cloud Analytics platform would perhaps benefit enterprises in manufacturing and other multi-petabyte data scale industries, including semiconductor, healthcare, retail, energy, and more. The pre-configured full-stack offering, in collaboration and integration with several top analytics and computing suppliers, would offer enterprises an innovative and ready-to-use option for expanding their operations.