Ian Smalley

1 week ago | ibm.com | Ian Smalley

While AI assistants help users learn, automation empowers them to act. By providing guided workflows, automation allows early-tenure users to perform tasks effectively, even without deep prior knowledge. The benefits of automation extend beyond beginners; experienced mainframe professionals also stand to gain. For instance, consider a seasoned systems programmer faced with configuring a rarely used security setting.

2 weeks ago | ibm.com | Ian Smalley

The postmigration phase focuses on optimization, user support and ensuring the long-term success of the new Microsoft O365 tenant environment. Initial activities include comprehensive validation of all migrated data, testing of business applications and verification that all security and compliance policies are functioning correctly. Teams must also address any migration-related issues, such as broken links, missing permissions or configuration discrepancies.

2 weeks ago | ibm.com | Josh Schneider |Ian Smalley

Quantum computing is an emergent field of computer science and engineering that harnesses the unique qualities of quantum mechanics to solve problems beyond the ability of even the most powerful classical computers. The field of quantum computing includes a range of disciplines, including quantum hardware and quantum algorithms. While still in development, quantum technology will soon be able to solve complex problems that classical supercomputers can’t solve (or can’t solve fast enough).

3 weeks ago | ibm.com | Stephanie Susnjara |Ian Smalley

The Microsoft Azure Cloud Adoption Framework (CAF) is a collection of documentation, implementation guidance, best practices and tools designed to help accelerate cloud adoption journeys. It provides a structured approach to help organizations plan, build and optimize their cloud environments while minimizing business risk.

1 month ago | ibm.com | Ian Smalley

AI for log analysis is the method of using artificial intelligence (AI) and machine learning (ML) tools to analyze log data. Log data is detailed records of events that occur in a computer system, application or network. AI and ML tools trained on large language models (LLMs) help automate log analysis, identify patterns and anomalies in datasets and deliver real-time insights into how a system or application is functioning.