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Kangaroo Court: Accountability Equals Equity | Association of Certified E-Discovery Specialists (ACEDS)
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Six Challenges of eDiscovery Practice: Crowdsourced Insights from Women in eDiscovery | Association of Certified E-Discovery Specialists (ACEDS)
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Kangaroo Court: AI Deployment Needs a Smokey the Bear | Association of Certified E-Discovery Specialists (ACEDS)
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Start thinking about your data as a capital asset. This is not an original idea. Douglas B Laney from Gartner built a strong argument around this concept in his book
Infonomics: How to monetize, manage, and measure information as an asset for competitive advantage. The past decade has witnessed enormous growth of AI and ML solutions from start-ups and skunkworks teams within organizations. The economic opportunity of AI globally has been predicted at anywhere between $15-$17 trillion USD by 2030. This figure represents the application of various technologies within the AI umbrella, and covers a broad net of industries and business functions. However, and perhaps more exciting, this projection does not account for the innovations that will emerge through the breaking down of data silos and transformation of enterprise data into a true source of intelligence and growth.