Aggregated enterprise architecture wisdom
Mar 21, 2016 Below is Screen Shots of the BioIngine – HDN Ingine; that creates a semantic lake and from which computes the probabilistic risk; as one of the use case. Bioingine.com; in its first attempt is implemented employing Wolfram… Continue Reading →
One of the big news items from last week was DropBox’s announcement that it had brought its file storage infrastructure in-house, moving (mostly) away from AWS: Years ago, we called Dropbox a “Magic Pocket” because it was designed to keep all your files in one convenient place. Dropbox has evolved from that simple beginning to […]
So often, it seems, I meet up with business execs for whom the only thing that matters is the money. In a big corporation, it’s often about the current quarter and the stock-price; in a smaller business, it’s often about…
“Obviously it’s good for us,” said Ovechkin, who scored his…
I am unsure if you are familiar with the halo effect in psychology. The effect describes our inbuilt judgement to observe a person in a few aspects and then use them as the template for all other traits of that person. Actually only the positive form is called the halo effect, while the negative is … Continue reading Sainthood in architecture →
By Steve Nunn, President and CEO, The Open Group Every holiday season, there is always one gift everyone just has to have. This past year, that honor went to the hoverboard, a self-balancing scooter reminiscent of the skateboards many of … Continue reading →
The Forrester Wave for Master Data Management went live today. The results may surprise you.
MDM tools today don’t look like your father’s MDM. No longer an integration hub between applications and DBMSs, today’s tools are transitioning or have reinvented MDM to handle the context missing from system traditional implementations. Visualizations, graph repositories, big data and cloud scale, along with application like interfaces for nontechnical users, mean MDM and master data gets personal with stakeholders.
Semantics and insight are not an outcome of MDM but an integrated part of the engine and hub. Three MDM evolutions stand out:
The Forrester Wave for Master Data Management went live today. The results may surprise you.
MDM tools today don’t look like your father’s MDM. No longer an integration hub between applications and DBMSs, today’s tools are transitioning or have reinvented MDM to handle the context missing from system traditional implementations. Visualizations, graph repositories, big data and cloud scale, along with application like interfaces for nontechnical users, mean MDM and master data gets personal with stakeholders.
Semantics and insight are not an outcome of MDM but an integrated part of the engine and hub. Three MDM evolutions stand out:
Businesses must be designed for change. Otherwise they may fall behind and fail.
Businesses must be designed for change. Otherwise they may fall behind and fail.
Greger Wikstrand and I have been trading posts about architecture, innovation, and organizations as systems (a list of previous posts can be found at the bottom of the page) for quite a while now. His latest, “Technology permeats innovation”, touches on an important point – the need for IT to add value and not just […]
We’ve seen another acquisition in the shifting eDiscovery market this week as kCura, the developer of Relativity, announced its acquisition of Content Analyst Company, the brains behind the CAAT analytics engine (kCura’s press release is here). The acquisition is not entirely surprising. kCura has been relying on the CAAT engine to power its analytics offering for eight years. According to kCura, use of its Relativity Analytics offering “has grown by nearly 1,500 percent” since 2011, with more than 70% of current kCura’s customers with licenses.
What does this acquisition mean for kCura, its customers, and Content Analyst Company customers?
This is more than just one vendor acquiring a partner to bring its tech in-house. The markets kCura competes in are changing. Customers want better predictive coding workflows, reporting, and visualization capabilities. The momentum around technology-assisted review (TAR) in eDiscovery is growing globally. In February 2016, the Pyrrho Investments Limited v. MWB Property Limited case gave the green light to predictive coding software in the UK, with the decision (PDF) citing acceptance in US and other jurisdictions. Interest and adoption of analytics for eDiscovery and other investigative use cases will only grow. Now that machine learning and technology-assisted review processes have been OK’d by the courts, many of the objections to using software for automated categorization, security classifications, and other analysis of textual data will dissipate.