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MY TAKE: Why DDoS weapons will proliferate with the expansion of IoT and the coming of 5G

The Last Watchdog

Here we are in 2019 and the same attack strategy continues to persist. This attacker easily located IoT devices that used the manufacturers’ default security setting. They are also extending their malicious activities beyond DDoS attacks to also spread ransomware, crypto mine and burrow deep into large enterprises. Beyond DDoS.

IoT 263
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New Report on IoT Security

Schneier on Security

The Atlantic Council has published a report on securing the Internet of Things: “Security in the Billions: Toward a Multinational Strategy to Better Secure the IoT Ecosystem.”

IoT 125
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Vietnam-linked Bismuth APT leverages coin miners to stay under the radar

Security Affairs

Since at least 2014, experts at FireEye have observed APT32 targeting foreign corporations with an interest in Vietnam’s manufacturing, consumer products, and hospitality sectors. Experts pointed out that once deployed coin miners as part of a diversionary strategy, BISMUTH then focused much of its efforts on credential theft.

Mining 138
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Data monetization: driving the new competitive edge in retail

CGI

Data has become an essential resource and a key element in the growth strategy of large retail organizations. Retailers have the opportunity to learn from the expertise of organizations that have built much of their success on data mining. Advancing omni-channel strategies using data and emerging technologies.

Retail 96
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Improving supply chain resiliency in the industrial sector

IBM Big Data Hub

80% of manufacturers report MRO asset management in their facilities needs improvement 60% of construction companies admit their industry is behind when it comes to adopting digital technology 5 ways the industrial sector can improve its supply chain resiliency 1. This equipment is critical to expanding capacity for chip production.

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Bigger isn’t always better: How hybrid AI pattern enables smaller language models

IBM Big Data Hub

This means that enterprises looking to mine information from their private or proprietary business data cannot use LLMs out of the box. Device manufacturers have discovered that significant bandwidth is required to run LLMs. When it comes to AI models, IBM has a multimodel strategy to accommodate each unique use case.

Cloud 83
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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

This iterative process is known as the data science lifecycle, which usually follows seven phases: Identifying an opportunity or problem Data mining (extracting relevant data from large datasets) Data cleaning (removing duplicates, correcting errors, etc.) Diagnostic analytics: Diagnostic analytics helps pinpoint the reason an event occurred.