Aggregated enterprise architecture wisdom
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?
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.
You can’t turn anywhere without bumping into artificial intelligence, machine learning, or cognitive computing jumping out at you. Our cars brake for us, park for us, and some are even driving us. Our movie lists are filled with Ex Machina, Her, and Lucy. The news tells about the latest vendor and cool use of technology, minute by minute. Vendors are filling our voicemail and email with enticements. It’s all so very cool!
But cool doesn’t build a business. Results do.
Which brings me to the biggest barrier companies have in adopting artificial intelligence. Companies are asking the wrong questions:
These questions put artificial intelligence into the traditional analytic processes and technology adoption box. These questions assume you will begin from the same starting point as you did for big data. You are wrong: Artificial intelligence starts with the problem to solve and works backward.
To succeed at artificial intelligence you need to ask the right questions:
You can’t turn anywhere without bumping into artificial intelligence, machine learning, or cognitive computing jumping out at you. Our cars brake for us, park for us, and some are even driving us. Our movie lists are filled with Ex Machina, Her, and Lucy. The news tells about the latest vendor and cool use of technology, minute by minute. Vendors are filling our voicemail and email with enticements. It’s all so very cool!
But cool doesn’t build a business. Results do.
Which brings me to the biggest barrier companies have in adopting artificial intelligence. Companies are asking the wrong questions:
These questions put artificial intelligence into the traditional analytic processes and technology adoption box. These questions assume you will begin from the same starting point as you did for big data. You are wrong: Artificial intelligence starts with the problem to solve and works backward.
To succeed at artificial intelligence you need to ask the right questions:
I was recently attending a business event and I was conversing with a gentleman who happened to be the head of human resources of his company, he was sharing with me that among his employees 15 percents were top performers. I happened to have in mind the statistics by Gallup[1] of the level of employees […]
This week’s episode of Tom Cagley’s Software Process and Measurement (SPaMCast) podcast, number 385, features Tom’s essay on Agile portfolio metrics, Kim Pries talking about the value of diversity, and a Form Follows Function installment on sense-making and decision-making in the practice of software architecture. Tom and I discuss my post “Architecture and OODA Loops […]
It was my grandmother’s 80th birthday. My parents wanted to make it a special occasion for her and for the family, so they booked us in for a meal at a place called Le Talbooth – then, as now, a decidedly…
continuing
Comments on McKinsey’s article on “Nine questions to help you get your digital transformation right”
“Is your IT operating at two speeds?”
As much that sounds weird today, when Gartner talks about a “two mode IT”,
continuing
Comments on McKinsey’s article on “Nine questions to help you get your digital transformation right”
“Is your IT operating at two speeds?”
As much that sounds weird today, when Gartner talks about a “two mode IT”,
Have you seen that large groups of people (especially men) can often make really bad decision or behave badly, while each single member of the group will never do anything so stupid? I think we have all seen this and if not just go back in history where you will see many example of this … Continue reading Stay away from large groups of architects →
From the Editor: Graham Berrisford from Avancier Ltd has provided…