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.
Microservices- and container-based architectures along with their technologies, such as Kubernetes, have been the buzzword in every IT development and operations team. So, what’s behind the buzz? And why should enterprise and corporate organizations invest in Kubernetes or other container technologies?
Google has taken an aggressive focus on commercializing much of the technology – such as Kubernetes – it has developed over the years. The company has also been accelerating alliances with major IT infrastructure and software providers
Disruptive companies, and companies with longterm success exhibit creativity and innovation when providing value to their consumer. However, the level of business creativity required to compete can’t flourish if a business’s technology infrastructure is unable to expand and adjust with the business. This is where cloud computing comes in – it frees organizations from the complex management of IT infrastructure and operations in order to focus on creativity and innovation.