Aggregated enterprise architecture wisdom
What do architects do? And why? At this point we’d usually reach out for some apposite metaphor… And yes, by far the most common metaphor is ‘boxes and lines’, or ‘boxes and arrows’. If we take the most stereotyped, ‘boxy’ view…
One of the constant challenges for enterprise-architecture – probably all forms of architecture, in fact – is explaining the value of what we do. For example, like a good conference-organiser or event-host, often the better we do our work, the…
Right now there’s an interesting (to me, anyway!) discussion going on within the Enterprise Architecture Network community on LinkedIn, on the role of ethics in EA, and its relationship with EA as a profession. I’ve added a few quick comments…
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 →
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…
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.
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?
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.