Adeptia Blog
Didn’t think integration could be good reading? Think again. We’ll have you laughing, we’ll have you crying, and sometimes, we’ll have you doing both simultaneously. But you’ll always leave enriched...with a new perspective on integration.
Enterprises today are hard-pressed to define what a good data governance strategy is. While setting up a data governance framework they acquire a considerable amount of technical debt and spiraling...
The healthcare data has got enormous potential which lies dormant in unfathomed silos. It can be harnessed with the help of analytics to understand diseases, develop treatments, and improve...
Although enterprises have great potential with AI, it is hidden like a beast in the cave. If enterprises can see it through then they can do many things which they can't do right now. The key...
All too often, communication services providers complain about functional silos and bureaucratic roadblocks to engage customers. These pitfalls create IT complexity issues that pop-up time &...
Many enterprises are still stuck in the quagmire of functional silos that don’t let them absorb new speeds and technologies in the ecosystem. Their C-Suite is facing a dual challenge – one bridging...
Retail Industry has undergone a boom & bust revolution and it continues to transform as you bat your eyelid. Rules are changed, innovations have transformed ways a product is marketed or sold....
Insurance industry has lagged behind other sectors in new tech adoption for many years. However, with the advent of Insurtech and new technology models, the industry is making impressive strides...
Legacy modernization is rampant across all industries and enterprises are investing heavily in new technologies for better efficiency and lower operational cost. During this exodus, many essential...
In the past few years, enterprises have increased focus on modernizing their IT from inside out. Enterprises are taking new risks and making changes to their IT, processes, and business operations....
Ingesting, processing, and transforming multi-GB data into Data Lake is hard work and takes considerable resources and time to get right. Enterprise Data Lake frameworks might have become leaner...