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Can AI Help with Disaster Preparation Technology?

Smart Data Collective

Last year, the World Meteorological Association reported that AI technology is playing an increasingly more important role in disaster management. Fortunately, AI technology can help mitigate some of these issues. A number of technological tools at their disposal rely on AI to help deal with these growing problems.

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AI Technology is Essential for Online Fraud Prevention

Smart Data Collective

This dedicated squad operates entirely in the online world, building algorithms that make online purchases safe and limited the losses that can come through fraud. As soon as a person visits a website, the data collected on them can determine the likelihood that they might be acting maliciously. Upgrading Payment Gateways.

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What is data analytics? Analyzing and managing data for decisions

CIO

Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. In business analytics, this is the purview of business intelligence (BI).

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Making AI accessible leads to greater innovation

CIO

Organisations still struggle to connect the algorithms they are building to a business value proposition, which makes it difficult for IT and business leadership to justify the investment it requires to operationalise models.”. Artificial Intelligence For more information on the AI Test Drive by Fujitsu, NVIDIA and NetApp, click here.

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5 Powerful Networking Technologies That Are Disrupted By AI

Smart Data Collective

Artificial intelligence is changing the Internet in ways we never expected. Savvy technology evangelists recognize the importance of AI in the 21 st Century, especially as Internet technology continues to evolve. IoT is the technology that enhances communication by connecting network devices and collecting data.

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5 Current Trends in Big Data for 2022 and Beyond

Smart Data Collective

As we look ahead to 2022, there are four key trends that organizations should be aware of when it comes to big data: cloud computing, artificial intelligence, automated streaming analytics, and edge computing. Each of these trends will continue to shape the way companies use data in the coming years.

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Python for Business: Optimize Pre-Processing Data for Decision-Making

Smart Data Collective

The rise of machine learning and the use of Artificial Intelligence gradually increases the requirement of data processing. That’s because the machine learning projects go through and process a lot of data, and that data should come in the specified format to make it easier for the AI to catch and process.

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