Artificial intelligence and big data have a mutually beneficial relationship. AI relies on large amounts of data to make decisions and improve them. Big data analytics uses AI to enhance data analysis. This convergence allows you to more effectively leverage advanced analytics capabilities such as augmented and predictive analysis, and can quickly surface actionable insights from large amounts…
Though the year is only half over, we’ve already witnessed several significant developments in the world of data and analytics. Whether you’re planning for next year or looking to improve your practice in the coming months, these 10 resolutions will help you steer a course in the right direction. We forecast that big data use…
The cycle of progress for organizations is similar to becoming more fit. It is impossible to stop eating junk food for half the month and expect quick or lasting results. You must make fitness a priority in your life. Similarly, organizations can also make strategic and important adjustments to their data that reduce costs and improve results. You…
The need to process data faster has forced HPC designers and innovators to think outside of the box. This includes how it’s processed, and how it ends up being processed. Cloud computing is now established and the floodgates are open for new supercomputing innovations. These are the top 5 trends in HPC – what do they…
In a typical software industry, BI/Big Data is often used in conjunction with a waterfall or an iteration model. These models are structured in a hierarchy that starts with analysis and moves on to design, development, and finally deployment. The problem is that most businesses do not consider the risks, costs, and time involved until the end. Businesses…
Data mining repositories all have the same purpose: to store data for analysis and reporting purposes. The types of data stored and the access options for users will vary depending on which repository they are. This article will cover some of the functions and applications of data warehouses and data marts. Data Mart, Data Warehouse, and Data Lake…
Data Storage – although we think digital data will last for infinite time, the fact is we don’t know how long will it survive in the storage media. This is because every material thing has a life and with time its life, as well as performance, deteriorates. Not to mention, here the obvious question that…
Cloud-based data lakes are ideal for exploratory and experimental data analysis, querying data on an ad-hoc basis. Along with that, it provides easy access to wide-ranging and massive-scale data. There is no setup time when data lakes have built-in indexes. In a data lake, you can retain any amount of data that has a great…
With the significant growth of the clinical sector, related technologies also got combined with the healthcare sector, which results in the massive growth of data. To handle, store, and analyze such massive amounts of data, big data techniques are being used in the healthcare sector. What are the applications and challenges associated with here? Read…
The key metric for both production Big data and production HPC is common: time to value. The key technical aspect also holds a similar principle that keeps processors fed with data and avoids bottlenecks! Production HPC success is measured by time to value, where it is measured as overall job elapsed time. For this, you…
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….
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..
Managing infrastructure is hard, and if it is a mixed infrastructure like Big data on Cloud, then you need to think bigger. However, the question arises here is whether cloud strategy or data strategy which one is more important to get the best business outcome? Read more…
Data storage trends are continually shaping the market for several years and we can expect a stronger data storage 2020 market ahead. Let’s explore the technology trends! Read more..
Agriculture plays a significant role in India’s socio-economic sector. At the same time, it is demographically the broadest sector compares to other economic sectors of India.However, India grapples with many challenges associated with agriculture.So, it is high time to sort out these problems with emerging technologies like Big data analytics in agriculture. Read more..
Real-time data analytics, one of the most crucial parts of Big data analytics today, is the most challenging part when it comes to the question of implementation for the enterprises. Read more..
Business executives today want to leverage more sophisticated analytics in their business processes, and industry-specific analysis to aid executive decision-making using business data. Interestingly all these data are operational and transactional data that are being fed to big data systems and as big data streaming data. Read more…
Since brands need a more strategic approach to driving sales along with excellent customer service, there is no better substitute for Big data. Using big data, companies may analyze a vast set of complex data sets to gain essential aspects of customer behavior. Let see how big data customer service is improving the overall business…
Data Lake has received immense popularity in recent years. It addresses some of the challenge areas of Big data and data governance-related issues. Read more
Businesses today mostly follow predictive strategies, and it is social media and Big data that fully empowers marketing strategy. As social media is not a choice somewhat a need for today’s business, deciding on social media strategies is considered as one of the benefits of Big data analytics. This, in a broader context, decides in…