The amount of global healthcare data is expected to increase dramatically by the year 2020. Early estimates from 2013 suggest that there were about 153 exabytes of healthcare data generated in that year. However, projections indicate that there could be as much as 2,314 exabytes of new data generated in 2020. – Statista The healthcare database is much more enormous than you would anticipate, as
The rise of data and how organizations are increasingly becoming data driven With huge amounts of data being generated every second from various sources such as business transactions, industrial machinery and social media, data is becoming the fuel that is driving any business. Organizations are relying on data and analytics to run every aspect of their business ranging from optimizing business
By 2023, more than 33% of large organizations will have analysts practicing decision intelligence, including decision modelling – Gartner Data-driven businesses are finding ways to utilize the gargantuan amount of data that is collected from their interactions with IoT devices, social networking platforms, industrial equipment, manufacturing work processes, etc.
In today’s digital ecosystem, the success of a business depends a lot on the SaaS engineering capabilities of the organisation. To stay ahead of the curve, an organisation’s infrastructure, technology and processes must be agile, light on their feet and dynamic in scale. Cloud computing models of service, or Software-as-a-Service (SaaS) offers a reliable and affordable software infrastructure to
Medical advancements in public health has proven beneficial to medical field practitioners and experts, and have also become a boon to millions of people, worldwide. However, technology-powered medical advancements are yet to be used by the common man to its full extent.
Serverless computing is likely to see an explosive growth in coming years, driven by AI-based innovation.
A well-known practice affecting businesses detrimentally is performing security checks on products towards the end of the development life cycle (SDLC). Adherences are thus enforced very late into the process, and when there is no pressure for a fast deployment, this model may very well work for the most part. However, in modern enterprise practices, product deployments and feature upgrades
Today’s container technology is revamping and transforming how businesses deploy and use applications in the data center and in the public cloud. "By 2022, more than 75% of global organizations will be running containerized applications in production, up from less than 30% today" - Gartner
Falling into the DevOps philosophy is quite a lot of effort considering the various facets of management that need to be achieved to reach optimal delivery standards. These bottlenecks force organizations to shy away from embracing DevOps as the core of their developmental activities.
Since organizations started to realize the importance and advantages of adopting DevOps practices as a core model in their development teams and operations, a great deal has been accomplished around the topic by clearly defining the DevOps journey. As it is seen as a step by step process to tapping the full potential of an organization’s capabilities and keeping in mind that the road to achieving
