Enterprise Architecture

kCura Puts the CAAT Into The Bag . . . Acquires Long-time Partner Content Analyst Company

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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.

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The Top 6 Questions To Succeed At Artificial Intelligence

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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:

  • What is artificial intelligence (or insert: machine learning or cognitive computing)?
  • Where can I use artificial intelligence?
  • What tool can I buy?

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:

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The Top 6 Questions To Succeed At Artificial Intelligence

by

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:

  • What is artificial intelligence (or insert: machine learning or cognitive computing)?
  • Where can I use artificial intelligence?
  • What tool can I buy?

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:

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McKinsey’s nine questions for the digital transformation (iv)

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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”,  

McKinsey’s nine questions for the digital transformation (iv)

by

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”,  

Laying the Foundation for Digital Business Transformation

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The market is moving quickly, and we are constantly being tasked with improving on performance to drive better results and justify our positions.  To do this we need to bring in digital technologies to facilitate every aspect of the business, and gather data for analysing performance and finding areas to improve.  This goes for everything…

Think You Want To Be “Data-Driven”? Insight Is The New Data

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It’s been a while since I’ve blogged; not because I’ve had nothing to say, but rather because I’ve been busy with my colleagues Ted Schadler, James McCormick, and Holger Kisker working on a new line of research. We wanted to examine the fact that business satisfaction with analytics went down 21% between 2014 and 2015, despite big investments in big data. We found that while 74% of firms say they want to be “data-driven,” only 29% say they are good at connecting analytics to action. That is the problem.

Ted Schadler and I published some initial ideas around this idea in Digital Insights Are The New Currency Of Business in 2015. In that report, we started using the phrase digital insight to talk about what firms were really after ― action inspired by new knowledge. We saw that data and analytics were only means to that end. We also found that leading firms were turning data into insight and action by building systems of insight ― the business discipline and technology to harness insights and consistently turn data into action.

Here is a key figure from that report:

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