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Build trust in banking with data lineage

IBM Journey to AI blog

This trust depends on an understanding of the data that inform risk models: where does it come from, where is it being used, and what are the ripple effects of a change? Moreover, banks must stay in compliance with industry regulations like BCBS 239, which focus on improving banks’ risk data aggregation and risk reporting capabilities.

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Five benefits of a data catalog

IBM Journey to AI blog

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

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Why data governance is essential for enterprise AI

IBM Journey to AI blog

If you add in IBM data governance solutions, the top left will look a bit more like this: The data governance solution powered by IBM Knowledge Catalog offers several capabilities to help facilitate advanced data discovery, automated data quality and data protection.

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Data architecture strategy for data quality

IBM Journey to AI blog

Stakeholders can identify business use cases for certain data types, such as running data analytics on real-time data as it’s ingested to automate decision-making to drive cost reduction. Taking an inventory of existing data assets and mapping current data flows.

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Databricks Acquires MosaicML and Other Recent AI Acquisitions

ODSC - Open Data Science

According to reports from the Wall Street Journal, the goal is to provide IBM with “greater automation capabilities.” For those unaware, Apptio is a provider of automated software cost management and other hybrid-IT tools. These moves signal to some that IBM is going in deep with automation. Customer Support Startup Cohere.io

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Turning hybrid cloud security into a profit center

IBM Journey to AI blog

To help prepare more workers for those vital roles, organizations need to invest in cybersecurity upskilling and AI and automation tools. Meanwhile, AI, machine learning and automation can process huge amounts of complex security data to predict or detect threats.

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IBM to help businesses scale AI workloads, for all data, anywhere

IBM Journey to AI blog

Through workload optimization an organization can reduce data warehouse costs by up to 50 percent by augmenting with this solution. [1] 1] It also offers built-in governance, automation and integrations with an organization’s existing databases and tools to simplify setup and user experience.