Smart Data Cleaning and Enrichment with AI During Application Migration
Buxton Team Application migration is more than just moving software from one environment to another—it’s a strategic transformation that often touches every part of an organization’s operations. Whether shifting from on-premises systems to the cloud, consolidating platforms post-acquisition, or modernizing legacy applications, one critical element underpins migration …
Predictive Network Maintenance with AI: Stay Ahead of Failures
A single unexpected network failure can ripple through an organization, disrupting operations, degrading customer experience, and driving up costs. Traditional maintenance models, which rely on scheduled inspections or reacting to failures after they occur, are no longer sufficient to meet the demands of modern digital …
AI-Orchestrated IT Operations: The Rise of AIOps
IT operations are more complex than ever before. The rise of hybrid cloud, multi-cloud environments, microservices, and edge computing has significantly increased the volume of IT data that needs to be monitored and managed. At the same time, organizations face heightened customer expectations for real-time …
Continuous Data Protection: Moving Beyond Traditional Backup Windows
For decades, businesses have relied on traditional backup strategies, where data is periodically saved at scheduled intervals—daily, weekly, or even monthly. While this approach has been a cornerstone of IT resilience, it no longer meets the demands of today’s fast-moving, data-driven world. Traditional backup windows …
Leveraging Generative AI for Seamless Cloud Migrations
Cloud migrations have rapidly transitioned from being an advantageous business strategy to a crucial necessity in modern IT environments. Enterprises increasingly see cloud migration as fundamental to scalability, agility, efficiency, and cost-effectiveness. However, these migrations often face substantial hurdles, such as compatibility issues, data loss …
Harnessing Predictive Analytics in SAP for Proactive Decision-Making
Traditional approaches that focus on historical data and past performance often result in delayed responses to market changes, inefficiencies, and missed opportunities. Instead, businesses are increasingly shifting toward proactive decision-making, leveraging advanced analytics and AI-driven insights to predict trends, mitigate risks, and seize opportunities before …
Salesforce’s Approach to Data Security in the Age of AI
The rise of artificial intelligence has transformed how businesses operate, offering unprecedented efficiency and automation. However, as AI systems become more advanced, they also introduce new security risks. Organizations must ensure that their customer data remains protected from evolving threats, regulatory challenges, and potential AI-driven …
ServiceNow’s Acquisition of Moveworks: Implications for AI Integration
ServiceNow, a leader in enterprise workflow automation, has announced its largest acquisition to date: the purchase of Moveworks, an AI startup specializing in employee support solutions, for $2.85 billion in a cash-and-stock deal expected to close in the second half of 2025. Moveworks, founded …
The Role of Automated Testing in Continuous Application Assessment
Imagine this: You’re driving a high-speed race car in a championship. You’ve got the best engine, top-tier aerodynamics, and a pit crew working round the clock. But there’s one problem—you’ve never tested the brakes! Now, would you risk going full throttle? Probably not. This is …
Graph Databases: Assessment and Optimization Strategies
Graph databases are transforming data management by enabling highly efficient storage and retrieval of complex relationships. Unlike traditional relational databases, which struggle with deeply connected data, graph databases offer high-performance querying, flexibility, and scalability for use cases such as fraud detection, social network analysis, knowledge …
