Larry Burt

Aug 28, 2024 | statetechmagazine.com | Larry Burt

Dec 06 2024 Cloud Hyperconverged infrastructure offers cloudlike benefits to agencies, but how does it compare with cloud services at scale? Hyperconverged infrastructure is popular among state and local government agencies seeking to simplify management of their data centers. About 80% of enterprises in general say they’ve expanded HCI deployments at the edge to help connect disparate tools and technologies. But is this approach a viable cloud alternative?

May 29, 2024 | fedtechmagazine.com | Larry Burt

Hyperconverged infrastructure remains the gold standard for federal agencies looking for simpler ways to manage their data centers. About 80 percent of enterprises in general say they’ve expanded HCI deployments at the edge to help connect disparate tools and technologies. But is this approach a viable cloud alternative? Hyperconverged infrastructure is a software-defined approach that unifies key components, including storage, computing, networking and management.

May 6, 2024 | fedtechmagazine.com | Larry Burt

Skip to main content May 29 2024 Cloud Hyperconverged infrastructure offers cloudlike benefits to agencies, but how does it compare with cloud services at scale? Hyperconverged infrastructure remains the gold standard for federal agencies looking for simpler ways to manage their data centers. About 80 percent of enterprises in general say they’ve expanded HCI deployments at the edge to help connect disparate tools and technologies.

Apr 5, 2024 | biztechmagazine.com | Larry Burt

How AI Tackles Three Categories of Risk in Financial ServicesAI is just as valuable to financial services companies as any other when it comes to mitigating cybersecurity risk, and it can also be helpful in managing compliance with cybersecurity frameworks and regulations. Beyond that, though, are three categories of financial risk that AI can help organizations detect and reduce: financial fraud, bad loans and bad investments. AI can detect fraudulent transactions and claims.

Aug 14, 2023 | biztechmagazine.com | Larry Burt |Rajiv Jain

Financial services regulations are complex, comprehensive, and constantly evolving. For example, the Sarbanes-Oxley Act of 2002, commonly known as SOX, includes a requirement that banks must ensure that responsibilities for high-risk processes are segregated across more than one employee. Failure to do so could lead to audits, sanctions or fines. Artificial intelligence and machine learning tools can help banks enhance regulatory compliance and better navigate evolving markets. Here’s how.