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Generative AI use cases for the enterprise

IBM Big Data Hub

The quality of outputs depends heavily on training data, adjusting the model’s parameters and prompt engineering, so responsible data sourcing and bias mitigation are crucial. Imagine training a generative AI model on a dataset of only romance novels.

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Conversational AI use cases for enterprises

IBM Big Data Hub

Enterprises can use NLU to offer personalized experiences for their users at scale and meet customer needs without human intervention. DL models can improve over time through further training and exposure to more data. In human resources (HR), the technology efficiently handles routine inquiries and engages in conversation.

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

LLMs like ChatGPT are trained on massive amounts of text data, allowing them to recognize patterns and statistical relationships within language. However, these systems lack genuine understanding and can’t adapt to situations outside their training. The skills gap in gen AI development is a significant hurdle.

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Gleanings from LegalTech NY

Positively RIM

The conference sessions, despite a penchant for hyperbole, are where the rubber meets the road (to coin a phrase). The bosses asked probing questions like, “Do Legal and Records each need their own IT staff, or could corporate IT staff meet their needs, improve operations, and save money?” Nuix sponsored it. I’m betting not.

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Network Security Architecture: Best Practices & Tools

eSecurity Planet

Firewall-as-a-service (FWaaS): Deploys cloud-hosted and scalable protection enterprise-wide for all resources (networks, branch offices, remote users, etc.). Privilege access management (PAM): Provides a specialized form of IAM that controls access to privileged resources such as administrator credentials and sensitive systems.

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Shift happens: the future office/library in a connected world

CILIP

Aon, the insurance broker, said it would undertake ?an In this column, timed to accompany the next Presidential Debate , on 29 September, I am asking three highly qualified practitioners to respond to a different, but linked question. t a lack of funding, resources, time, manpower, adaptability, purpose, etc., future of work?

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The advantages and disadvantages of private cloud 

IBM Big Data Hub

Across industries like education, retail and government, organizations are choosing private cloud settings to conduct business use cases involving workloads with sensitive information and to comply with data privacy and compliance needs. The popularity of private cloud is growing, primarily driven by the need for greater data security.

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