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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

However, if AGI development uses similar building blocks as narrow AI, some existing tools and technologies will likely be crucial for adoption. Regardless, these are examples of narrow AI. AGI examples However, once theoretical AGI achieves the above to become actual AGI, its potential applications are vast.

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Deploying applications built in external CI through IBM Cloud DevSecOps

IBM Big Data Hub

These attacks are even more detrimental in critical systems, which include IT infrastructure and financial services organizations. IBM Cloud for Financial Services This is where IBM Cloud for Financial Services shines—it helps clients to fill that gap by supporting innovation while guaranteeing security and compliance.

Cloud 82
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Process Excellence: A transformational lever to extreme automation

IBM Big Data Hub

Let’s consider a few examples: At a materials engineering corporation An American materials engineering corporation, a global leader in the semiconductor industry, has been driving finance transformation through automation in partnership with IBM so the business can grow, even with a fixed finance headcount.

Mining 72
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Big California Privacy News: Legislative and Enforcement Updates

Data Matters

The OAG issued its first CCPA enforcement fine, updated CCPA enforcement examples on the OAG’s CCPA webpage, and made related statements to the press regarding what we can expect in the future from the OAG with respect to CCPA enforcement. New CCPA Enforcement Case Examples – Opt Outs, GPC, Clarity & Functionality Are Top of Mind.

Privacy 197
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Cybersecurity Standards for the Insurance Sector – A New Patchwork Quilt in the US?

HL Chronicle of Data Protection

For example, the New York Department of Financial Services (‘NYDFS’) in March 2017 issued its Cybersecurity Regulation (23 NYCRR 500) (‘the NYDFS Cybersecurity Regulation’), a groundbreaking and far-reaching regulatory regime focused on financial institutions licensed in New York, including insurance companies.

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Cybersecurity: Managing Risks With Third Party Companies

Cyber Info Veritas

This is according to a recent survey conducted by Soha Systems, and according to one of the speeches delivered by the Superintendent of the New York State Department of Financial Services, Mr. Benjamin Lawsky, “ A company’s cybersecurity is only as strong as the cybersecurity of its third-party vendors ”.

Risk 40
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Why you should keep data observability separate from data cleansing

Collibra

I often hear questions about commingling the Observability and Resolution features to solve for data quality – typically surmised as “Why can’t our tool both detect and resolve data quality issues?” Consider the examples from our peer industries: Operational Risk. For financial services, data governance found its roots in risk.

Risk 102