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GUEST ESSAY: Making the case for leveraging automation to eradicate cybersecurity burnout

The Last Watchdog

It can be one of the most toxic barriers in a robust cybersecurity strategy, especially if analysts can’t keep a level head in the face of prospective threats. If analysts become exhausted, pessimistic or overwhelmed trying to keep up with relentless and innovative hackers, companies and customer data could be at risk.

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Business process reengineering (BPR) examples

IBM Big Data Hub

The purpose of BPR is to streamline workflows , eliminate unnecessary steps and improve resource utilization. This blog outlines some BPR examples that benefit from a BPM methodology. BPR involves business process redesign that challenges norms and methods within an organization.

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

While AGI remains theoretical, organizations can take proactive steps to prepare for its arrival by building a robust data infrastructure and fostering a collaborative environment where humans and AI work together seamlessly. This gap highlights the vast difference between current AI and the potential of AGI.

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How to build a successful talent management strategy

IBM Big Data Hub

However, keeping employees happy and engaged can be challenging, especially when considering available resources and the need to meet other organizational goals. Every prospect should receive a clear picture of how the organization approaches talent management. Advanced organizations know their greatest assets are their employees.

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How AI-powered chatbots are transforming marketing and sales operations

IBM Big Data Hub

In this AI and digital age, customer expectations have evolved. Marketing teams are embracing AI technology to drive more powerful marketing campaigns. With IBM Watson Assistant customers can: Create omnichannel journeys that drive meaningful interactions with marketing and sales from prospecting to closing.

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Tuesday’s Relativity Fest 2019 Sessions: eDiscovery Trends

eDiscovery Daily

Let’s check out some of the sessions lined up for today (including the one I’m speaking at!). In the increasingly non-linear and fast-moving legal technology world in which we now live and work, where cloud-based solutions, analytics, machine learning, and AI are impacting the data-driven decisions being made, is it time to rethink the EDRM?

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Chatbot examples: A beginner’s guide 

IBM Big Data Hub

More advanced chatbots use machine learning , artificial intelligence (AI) and generative AI technology to generate real-time responses based on user input. There are two types of chatbots, rule-based and AI-powered. In that time, chatbots have come a long way and are better than ever at holding a conversation.

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