The ongoing pursuit of data solutions occupies mindshare of consumers, vendors and service providers alike as they invest considerable amount of time, costs and efforts. The past attempts to concur data have resulted in solutions that combined databases, applications and tools with limited success. We are still struggling with a few unresolved, persistent legacy challenges …
In the previous post “Two Sides of “Big?” Data”, we took a simplistic view of “Big?” data with two facets of the challenge as storage and retrieval. This post reviews the “Storage” facet to uncover a few key realities of data accumulation. The basic premise behind the discussion is that functional use cases for storage …
In the last two posts, we started a conversation about big data. The first post titled, “Two Sides of “Big?” Data” described it as a challenge with two facets of “storage” and “retrieval”. The following post, “The storage side of “Big?” data” discussed the opportunities in the storage space. These posts attempted to contextualize the …
THE RETRIEVAL (CONSUMPTION OR USAGE) SIDE OF “BIG?” DATA Read More »
Data challenges continue to occupy our mindshare, as huge time, effort and costs are being invested in finding solutions. In most cases, technology advancements seem to guide the pursuit of the right solution. This is in line with the traditional approach where information technology (IT) teams build expansive data landscapes, with business teams dictating requirements …
Boston, Mass., October 5, 2015 — Cueris, Inc. today announced the availability of its WeaveXT framework for contextualizing data across the corporate data food chain using an architecture driven approach. The framework prescribes a holistic, goal or solution driven data management approach from collection through to retrieval. The framework design is based on the following …
CUERIS ANNOUNCES “WEAVEXT” – A FRAMEWORK FOR SUCCESSFUL “BIG” DATA IMPLEMENTATIONS. Read More »
The last post discussed the missed side of Big Data – the context. Let us start with a brief context of our data legacy. The disappointments of leveraging data have existed for years. In the past, increasing data volumes and its management were relegated as back office issues. Today, we are faced with new “Big” …
HOW DOES THE WEAVEXT FRAMEWORK FRAME BIG DATA CONTEXT? Read More »
Cueris CEO Suhas Marathe writes for EBN Online, the first article among a series that will explore the big data frontier. Read more at Conquering the Big Data Frontier
This is the second article in the series written by Suhas Marathe on EBN. Suhas writes: What many companies are beginning to realize is that technology alone cannot lead to data science-driven insights. In terms of the perspective of IT infrastructure, big data appears to be a problem that can be reduced to four variables …
BIG DATA & SUPPLY CHAIN: LESSONS FROM THE WILDERNESS Read More »
Business goal: Automate analysis of MRI brain scan images using multi-modal features derived from brain magnetic resonance imaging (MRI) scans. Challenge: Today, many mental diseases do not have a well-established, non-invasive diagnosis Bio-marker. As the symptoms overlap with other mental illnesses (like bipolar disorder), the diagnosis is subjective by process of elimination. The multimodal information …
Business goal: Build a comprehensive and automated method of DR screening. Challenge: Clinicians can identify DR by the presence of lesions associated with the vascular abnormalities caused by the disease. While this approach is effective, its resource demands are high. The expertise and equipment required are often lacking in areas where the rate of diabetes …