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White Paper: VAISALA

Understand and utilize real-time data in CMP process optimize processes for supreme wafer quality and yeild Accurate and fast RI and RH measurements for optimized CMP tool performance   Did you know that the refractive index or RI measurement with an inline process refractometer is a safe, cost-effective, real-time, low-maintenance process monitoring method to accurately determine wet chemical concentrations?  Vaisala’s inline process refractometers meet industry standards and can be conveniently integrated into slurry blenders and CMP tools.  Relative humidity or RH measurements in slurry blending are critical to avoid slurry evaporation and eventual agglomeration. Recommended products are the Indigo520 with HMP7 and TMP1 for both temperature and relative humidity measurements directly in the CMP tool.  In this eBook, we discuss:  RI in process optimization  RH as a critical measurement  Installation position benefits Optimize processes for supreme wafer quality and yield Optimize processes for supreme wafer quality and yieldOptimize processes for supreme wafer quality and yield Optimize processes for supreme wafer quality and yield

White Paper: HighByte

DataOps: The Missing Link in Your Industrial Data Architecture Author: John Harrington, HighByte Co-Founder & Chief Business Officer DataOps is a new category of software solutions that address the data architecture needs of industrial companies as they adopt Industry 4.0, Digital Transformation, and Smart Manufacturing. DataOps solutions perform data contextualization and standardization and provide secure data flow to the various consuming applications running at the Edge, in on-premises data centers, or in the Cloud. HighByte has developed HighByte Intelligence Hub to address the DataOps needs of industrial environments where data must be aggregated from industrial automation and leveraged by business users throughout the company and its supply chain.   Complete the form below to download the full white paper and learn: The role of DataOps in achieving the vision of Industry 4.0 at scale Key problems solved by industrial DataOps Five required components of an effective industrial DataOps solution Principal capabilities of HighByte Intelligence Hub