How does DevOps and Cloud relate to each other?
Though not mutually exclusive to each other, DevOps and cloud computing are vital for every organization for their digital transformation. Read more!
Though not mutually exclusive to each other, DevOps and cloud computing are vital for every organization for their digital transformation. Read more!
The capabilities of both Blockchain and AI enact upon and exploit data at a new level. Furthermore, the integration of AI and machine learning into Blockchain and vice versa help to enhance Blockchain’s architecture and also boost the potential of AI. Similarly, the Blockchain can make AI more understandable and coherent so that we can…
Cloud analytics that cobble two terms together, also maintains some substantial differences between on-premise data analysis and cloud-analytics solutions. No doubt, you can do the same analysis on-premises but the power of the cloud can give your access to data quickly and with little maintenance. Read more!
When you are a technical writer you need to pen- down every technical detail to make an interesting and informative document. Besides, it should be free of grammatical mistakes and plagiarism free. Hence, to help technical writers there are many software tools for technical writing that help to generate top-notch documents. Read more!
Technology is critical in today’s environment and small businesses are spending more on it to perform better. Cloud technology has enabled newer SMBs to adopt advanced technology and practices earlier in their lives. Furthermore, cloud computing for small businesses have different uses than that is there for individual and larger companies. Read more..
Serverless computing is redefining cloud computing whereas machine learning (ML) is providing next-generation built-in intelligent software. Furthermore, serverless computing gives AI application development efficiency, simplicity, and productivity. Read more!
The rapid advancement of artificial intelligence also inspired talent and resources to dedicate themselves to accelerating the growth of technologies. There come to the open-source tools for artificial intelligence which has widened the scope of various development and activities of artificial intelligence. Read more..
The cloud is a great enabler of IoT that solved the data driven needs of the business. The cloud as a technology is providing an agile platform to develop meaningful IoT applications for better data devices over the internet. Does that mean the cloud is an essential need for IoT? Read more…
Industrial Internet of Things (IIoT) allows the machine to machine (M2M) communication through smart sensors, actuators. In addition to that, the involvement of advanced Big data analytics radically transforms a dumb device into a source of real-time analytics. However, is Industrial internet of things same as IoT? What are the technicalities working behind? What are…
Big data management is a crucial area which is essential when enterprise data stores are growing exponentially. This is a challenging area too because managing big data is increasingly a demanding area for organizations. Big data management essentially means putting the right technologies, policies, and people in place, so that from the data point of…
Every cloud vendor has their own specific set of the offering of services in terms of security, geography, privacy, pricing model, functionality, etc. However, not every business have same requirements related to all services. Furthermore, there is rapid changes happening in the dynamic enterprise IT landscape due to which it is nearly impossible to predict…
One of the game-changing cloud computing execution models which have gained a lot of recent attention in the technology world is Serverless computing. It gives lot of cost as well infrastructural benefits. But is it really Serverless and future of cloud computing? Read more..
The ongoing big data trends show that big data analytics will change the way businesses operate in different domains like finance, manufacturing, healthcare, and other industries. Furthermore, most experts agree that the ongoing big data trends will shift most of the organization from data-generating to data-powered by making use of business insights and actionable data….
Extreme Programming (XP) is a highly disciplined engineering practice that produces an effective and higher quality code in software development. It is often found that teams adopt agile methodology with a different framework and later shifted to extreme programming to get a better result. Read more..
As the need for analytical processing, AI, Machine learning, Industrial IoT, etc has risen, at the same time it demands to deal with the massive amount of data. Not only data, but such data also needs to be processed at a high speed for real-time data analytics and decision making. There comes the need for…
Blockchain today is not limited to Fintech, instead, its applications have been stretched into other domains like healthcare, the Internet of Things, AI, Insurance, and many more. As Blockchain is moving at a frenetic pace, at the same time, Blockchain platforms are emerging at a rapid pace. Read more…
The artificial intelligence software and tools produced by top AI companies can give you remarkable feats if deployed skilfully. The software itself with machine learning is capable of automating business processes, bringing more productivity in human effort, and enhance the customer experience. Read more..
Customer service plays a key role in brand differentiator in most of the businesses today. Advancement in Big data analytics has made life easy for professionals dealing with customer service. Furthermore, big data-enabled customer relationship management a holistic approach for today’s business. It has turned customer service more responsive and agile. Read more..
With real-time analytics enterprises can generate analytics reports as and when the data is received.Furthermore, using real-time analytics, enterprises can receive fresh and contextual analytics reports. This gives close relevance to market trends. Read more..
In today’s scenario effective supply chain analytics requires to be more customer centric. Maintaining integrity and accuracy it must respond quickly. The need of the hour is supply chain analytics solutions that can quickly analyze massive amounts of data coming from disparate data sources. Read more..