Remove how-to-manage-risk-with-modern-data-architectures
article thumbnail

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.

article thumbnail

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
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

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
article thumbnail

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
article thumbnail

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.

article thumbnail

How the right data and AI foundation can empower a successful ESG strategy

IBM Big Data Hub

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions.

article thumbnail

Don’t Get Left Behind in the AI Race: Your Easy Starting Point is Here

Cloudera

How do you adapt a foundational model to your specific needs? How do you adapt a foundational model to your specific needs? How much is all this really going to cost? ” said Sanjeev Mohan, Principal, SanjMo & Former Gartner Research VP, Data & Analytics. .”