Remove how-to-manage-risk-with-modern-data-architectures
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How to become an AI+ enterprise

IBM Big Data Hub

Generative AI (gen AI) introduces transformative innovation to all aspects of a business; from the front to the back office, through ongoing technology modernization, and into new product and service development. AI is at a turning point, driving exponential advancements in an organization’s prosperity and growth.

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CIOs weigh where to place AI bets — and how to de-risk them

CIO Business Intelligence

We need to be ready to respond to our CEO to solve problems with AI,” says Srini Gudipati, CIO of Covanta, a company that specializes in sustainable materials management, including large-scale recycling. There are a lot of risks and a lot of land mines to navigate,” says the analyst. And standing still is not an option. “AI

Risk 133
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Nexthink scales to trillions of events per day with Amazon MSK

AWS Big Data

Real-time data streaming and event processing present scalability and management challenges. AWS offers a broad selection of managed real-time data streaming services to effortlessly run these workloads at any scale. The following diagram illustrates its architecture.

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Mastering identity security: A primer on FICAM best practices

IBM Big Data Hub

Numerous individuals disclose confidential, personal data to commercial and public entities daily, necessitating that government institutions uphold stringent security measures to protect their assets. Credential management Credentials, in essence, substantiate an individual’s identity.

Risk 98
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The extent Automic’s group CIO goes to reconcile data

CIO Business Intelligence

Automic is the largest listed registry provider in Australia, with an integrated cloud-native platform that manages listed registry, funds, employee share plans, and investor analytics. There are lots of companies competing for the same talent in Australia, so how do you stand out?” Another issue is talent retention. he adds.

Risk 111
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Empowering data-driven excellence: How the Bluestone Data Platform embraced data mesh for success

AWS Big Data

In the ever-evolving world of finance and lending, the need for real-time, reliable, and centralized data has become paramount. Bluestone , a leading financial institution, embarked on a transformative journey to modernize its data infrastructure and transition to a data-driven organization.

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Combine transactional, streaming, and third-party data on Amazon Redshift for financial services

AWS Big Data

Financial services customers are using data from different sources that originate at different frequencies, which includes real time, batch, and archived datasets. Additionally, they need streaming architectures to handle growing trade volumes, market volatility, and regulatory demands.