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Work Remotely Without Compromising Your Data

AIIM

IT teams, specifically, are working to understand how to get a grip on content sprawl in the era of remote work. A recent study commissioned by Egnyte surveyed 400 IT leaders to understand how COVID-19 has impacted businesses’ ability to maintain data security and governance with a distributed workforce. Regulations are not going away.

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

AGI, sometimes referred to as strong AI , is the science-fiction version of artificial intelligence (AI), where artificial machine intelligence achieves human-level learning, perception and cognitive flexibility. Current AI systems struggle with context, color and understanding how to react to partially hidden objects.

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Part 1: OMG! Not another digital transformation article! Is it about understanding the business drivers?

ARMA International

Part 3 will discuss how to manage the various DT risks. This discussion will include methods, tools, and techniques such as using personae and identifying use cases that have high business value, while minimizing project risks. Artificial Intelligence (AI) and Auto-Classification. Introduction.

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Thoughts on the Legal Technology Implications of Dynamic Communication Practices

eDiscovery Daily

As many try to wrap their arms around emerging technology areas which are all the rage (Chap GPT, artificial intelligence, etc.), it tends to mask similar long-standing challenges, such as the adoption of predictive coding or records management programs, which reduce overall eDiscovery cost and risk. Issue tagging is one.

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Kelly Twigger of ESI Attorneys: eDiscovery Trends 2018

eDiscovery Daily

Kelly is a Discovery Strategist and the Principal of ESI Attorneys , one of the first law firms in the country dedicated to advising clients on the risks and challenges in ESI, including eDiscovery. We’re still seeing a lack of education that I’d like to change. Today’s thought leader is Kelly Twigger.