Remove Big data Remove Examples Remove Exercises Remove Financial Services
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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

Self-driving cars excel at navigating roads and supercomputers like IBM Watson ® can analyze vast amounts of data. 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 79
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New York Department of Financial Services Issues Guidance Regarding Life Insurers’ Use of External Consumer Data in Underwriting

Data Matters

On January 18, 2019, the New York State Department of Financial Services (NYDFS) issued Circular Letter 2019-1 (the Circular Letter), addressing insurers’ use of external consumer data and information sources in underwriting for life insurance.

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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 69
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Artificial Intelligence: 6 Step Solution Decomposition Process

Bill Schmarzo - Dell EMC

The conversation is simple because the objective is simple: How do I become more effective at leveraging (big) data and analytics (artificial intelligence) to power my business? We will use this “increase customer retention/reduce customer attrition” business initiative for the rest of this exercise. It’s simple. See Figure 6.

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Artificial Intelligence: 6 Step Solution Decomposition Process

Bill Schmarzo - Dell EMC

The conversation is simple because the objective is simple: How do I become more effective at leveraging (big) data and analytics (artificial intelligence) to power my business? We will use this “increase customer retention/reduce customer attrition” business initiative for the rest of this exercise. It’s simple. See Figure 6.

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The Economy of Things: the next value lever for telcos

IBM Big Data Hub

The anchor identity of the device along with metadata about the device itself, data about its locatio , and transactions made on its own behalf is its own unit of value. Telcos can also play the role of data providers as well as data marketplace and brokerage operators within the ecosystem.

IoT 53