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The convergence of HPC and AI: Driving innovation at speed  

IBM Big Data Hub

As an integrated solution across critical components of computing, network, storage and security, the platform aims to assist enterprises in addressing regulatory and efficiency demands. Automotive manufacturers, having a wealth of data related to existing designs, can use these large bodies of data to train AI models.

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Conversational AI use cases for enterprises

IBM Big Data Hub

DL models can improve over time through further training and exposure to more data. Predictive analytics integrates with NLP, ML and DL to enhance decision-making capabilities, extract insights, and use historical data to forecast future behavior, preferences and trends. Clean data is fundamental for training your AI.

Analytics 106
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How to Prevent Data Breaches: Data Breach Prevention Tips

eSecurity Planet

And breaches will occur – because bad guys make a living by figuring out ways to circumvent security best practices. Prioritize Data Protection The downfall of many security strategies is that they become too general and too thinly spread. But it requires different levels of security.

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The most valuable AI use cases for business

IBM Big Data Hub

But right now, pure AI can be programmed for many tasks that require thought and intelligence , as long as that intelligence can be gathered digitally and used to train an AI system. Generative AI can produce high-quality text, images and other content based on the data used for training. We’re all amazed by what AI can do.

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NEW TECH: This free tool can help gauge, manage third-party cyber risk; it’s called ‘VRMMM’

The Last Watchdog

Turn the corner into 2019 and we find Citigroup, CapitalOne, Wells Fargo and HSBC Life Insurance among a host of firms hitting the crisis button after their customers’ records turned up on a database of some 24 million financial and banking documents found parked on an Internet-accessible server — without so much as password protection.

Risk 147
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How Jamworks protects confidentiality while integrating AI advantages

IBM Big Data Hub

The advantages of AI are numerous and impactful, from predictive analytics that refine strategies, to natural language processing that fuels customer interactions and assists users in their daily tasks, to assistive tools that enhance accessibility, communication and independence for people with disabilities.

Cloud 105
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China’s PIPL has finally arrived, and brings helpful clarification (rather than substantial change) to China’s data privacy framework

DLA Piper Privacy Matters

Instead the PIPL is a robust data privacy framework designed to safeguard individuals’ personal data against abuse, but at the same time to reflect cultural and business attitudes to data in China, as well as new technologies (including advances in AI, biometrics and data analytics), and to enable flows of personal data.