DevOps, which promotes closer collaboration between lines of business, development and IT operations, delivers a more holistic and business-driven approach to software development. It can help an organization improve code quality and boost security.
Organizations that adopt DevOps typically achieve a variety of operational and automation improvements. In addition to teams coding faster and producing higher quality software, there are frequently gains revolving around areas such as configuration management, testing, deployments and approvals. This leads to an array of strategic gains that benefit development teams and the business.
As businesses strive to become data-driven-organizations, a leading global market intelligence agency called the International Data Corporation (IDC) forecasts that there will be 163 zettabytes of data by 2025. How will all of this data be managed, stored and transformed into useful insights? Many business are quick to ask “how can we use AI and ML to accelerate our business?” But this is where some leaders miss the mark - you cannot implement and benefit from data science tools without prioritizing data infrastructure.