- Business Transformation
- Cloud Engineering
- Cloud Native
- Artificial Intelligence (AI)
- Modern Datacenter
- Emerging Tech
- IoT and Edge
- Advanced Analytics
- Google Cloud
- Hybrid Cloud Implementation
- Google Anthos
- Systems Integration
- Application Development
- Application Modernization
- Machine Learning
Large amounts of data can provide an enterprise with very real and very actionable insight—if that data is properly managed.
As enterprises dive into AI adoption, it is critical that they understand industry trends. The recent Forbes article, Top Artificial Intelligence (AI) Predictions for 2020 from IDC and Forrester...
On the first of January 2020, the California Consumer Privacy Act (CCPA) went into effect, placing new burdens on organizations that do business in or with residents of California. Which means a...
From automation and data analysis, to internal communications and customer service, there’s a lot of power in Artificial Intelligence (AI).
One key to application modernization is moving from VMs for development to containers and Kubernetes.
With many enterprises looking to change the way they use technology in response to increasing competition and expectations, accelerating the delivery of high-quality products is critical.
Artificial Intelligence (AI) has graduated from buzzword to technical reality. For many enterprises, however, large hurdles remain in actually adopting AI into their businesses.
If data is the currency of today’s enterprises, analytics is the key to unlocking access to that currency. Without analytics, data is just dormant information—useless, wasted, and needlessly...
As your enterprise migrates to the cloud, developing cloud native apps will likely be at the top of the list of your projects. Whether you’re doing the work in-house or with a partner, these are the...
As technology continues to advance, traditional business models are falling in its wake.