Vipul Makwana

2 months ago | devops.com | Vipul Makwana

The data-driven corporate world demands adaptation and innovation. Rapidly evolving technology and the rise of digital disruption have made it necessary for enterprises to implement DevOps practices to thrive. Globally, we expect data pipelines to be modernized by unifying DevOps, DataOps and database workflows in the coming years.

Aug 6, 2024 | datasciencecentral.com | Vipul Makwana |Ryan Williamson |Dan Wilson |Alan Morrison

Increasing competition and other challenges have made the business landscape more complicated than ever. Modern enterprises rely on ERP (Enterprise Resource Planning) software to address these challenges. Here, AI can be a game-changer technology bringing intelligence and automation in ERP systems. Let’s dig deep into the role of AI in ERP and understand how this revolutionary technology benefits enterprises.

Jan 9, 2024 | dzone.com | Vipul Makwana

What does it take to deploy any business application? A company has to establish a physical server on its premises and invest in necessary hardware and physical infrastructure. However, this is a big challenge for a startup or even an established enterprise. Thankfully, public, private, and hybrid cloud concepts can provide the solution to this challenge. Let’s delve into these three types. Scalability, flexibility, and cost-effectiveness are major characteristics of cloud technology.

Jan 4, 2024 | dzone.com | Vipul Makwana

Enterprise DevOps has brought radical changes in conventional workflows. Both AI and ML technologies play a vital role in enabling DevOps to change the corporate world and streamline processes. A Gartner report has revealed that 40% of DevOps teams will use infrastructure apps that have integrated AI for IT operations platforms by the year 2023. Today, we will discuss the role of AI and ML in DevOps, along with some implementation challenges.

Jul 13, 2023 | datafloq.com | Vipul Makwana

The recent pandemic has acted as a catalyst for the growth of the healthcare sector. It has made advancing technology more useful by supporting the capability of understanding and analyzing massive amounts of data. There is no exaggeration in mentioning that Big Data has taken the healthcare industry by storm and helps it improve patient care significantly.