Category: Enterprise software & integration (Page 12 of 31)

Komprise announced Komprise Smart Data Workflows, a systematic process to discover relevant file and object data across cloud, edge and on-premises datacenters and feed data in native format to AI and machine learning (ML) tools and data lakes.

Komprise has expanded Deep Analytics Actions to include copy and confine operations based on Deep Analytics queries, added the ability to execute external functions such as running natural language processing functions via API and expanded global tagging and search to support these workflows. Komprise Smart Data Workflows allow you to define and execute a process with as many of these steps needed in any sequence, including external functions at the edge, datacenter or cloud. Komprise Global File Index and Smart Data Workflows together reduce the time it takes to find, enrich and move the right unstructured data. Komprise Smart Data Workflows are relevant across many sectors. Here’s an example from the pharmaceutical industry.

https://www.komprise.com/komprise-automates-unstructured-data-discovery-with-smart-data-workflows/

From the Google Cloud blog…

The volume of valuable data that organizations have to manage and analyze is growing at an incredible rate. This data is increasingly distributed across many locations, including  data warehouses, data lakes, and NoSQL stores.

Today, we’re excited to announce BigLake, a storage engine that allows you to unify data warehouses and lakes. BigLake gives teams the power to analyze data without worrying about the underlying storage format or system, and eliminates the need to duplicate or move data, reducing cost and inefficiencies. With BigLake, users gain fine-grained access controls, along with performance acceleration across BigQuery and multicloud data lakes on AWS and Azure. BigLake also makes that data uniformly accessible across Google Cloud and open source engines with consistent security. BigLake enables you to:

• Extend BigQuery to multicloud data lakes and open formats such as Parquet and ORC with fine-grained security controls, without needing to set up new infrastructure.
• Keep a single copy of data and enforce consistent access controls across analytics engines of your choice, including Google Cloud and open-source technologies such as Spark, Presto, Trino, and Tensorflow.
• Achieve unified governance and management at scale through seamless integration with Dataplex.

https://cloud.google.com/blog/products/data-analytics/unifying-data-lakes-and-data-warehouses-across-clouds-with-biglake

Super.AI announced the latest version of the company’s Unstructured Data Processing (UDP) Platform, to make it easier for global business services and IT departments to expand the scope and pace of intelligent automation.

Shared services centers typically deploy multiple point solutions for document processing, sensitive information redaction, and processing other forms of unstructured data such as emails, text, images, video, and audio. Super.AI’s UDP Platform unifies intelligent document processing (IDP), human-in-the-loop (HITL), redaction, and processing of any data type — reducing the number of platforms needed for intelligent automation. Enhancements in the latest release include:

• Next-generation intelligent document processing (IDP) that utilizes artificial intelligence technology to deliver the highest quality results.
• Efficient and accurate document, image, audio, and video redaction to streamline regulatory compliance and reduce risk.
• Reimagined human-in-the-loop capabilities for data validation and labeling, allowing organizations to incorporate third-party and in-house experts into automation workflows.
• 150+ quality control mechanisms built into the platform that guarantee output and ensure service level agreements (SLAs) are met.

https://super.ai