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5 Tips to Improve the Data Security of Software Applications

Smart Data Collective

Over 440 million data records were exposed in data breaches in 2018 alone. Monitoring Activity. Monitoring activity is vital for the data security of the application for numerous reasons. Finally, monitoring activity can also assist in troubleshooting issues with the application or identifying areas for improvement.

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Machine Learning Helps Social Media Marketers Earn Higher ROIs

Smart Data Collective

Reach your audience where they are with AI-driven social media monitoring tools Social media is an excellent way for companies to reach their audience where they are, and it’s a great way for your customers to find the products, services and information your business provides.

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How Machine Learning Enhances Momentum of Cryptocurrency Price Movements

Smart Data Collective

However, it is arguably even more useful for monitoring directions in prices. A 2018 whitepaper from a team of researchers from the University of Copenhagen in Denmark showed that artificial intelligence modeling was more effective at forecasting trends in market prices than conventional benchmarks.

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5 Ways Machine Learning Can Boost Your Digital Marketing Efforts

Smart Data Collective

As far back as 2018, a veritable eternity in the world of online marketing, over 80% of marketing organizations reported the deployment or growth of their AI and machine learning efforts. This is the same kind of data that can take hours or work or a lot of luck to uncover manually. Greater Opportunities from Split Testing.

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How To Improve Incident Response Time for Data Breaches

Smart Data Collective

This breach was not discovered until 2018. Checklists can be used by security automation technologies to apply configuration settings that improve the default level of security and to monitor the hosts’ settings to ensure that they are still in compliance with the checklist settings.

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Fleet Management and Big Data: Points to Consider

Smart Data Collective

The total amount of new data will increase to 175 zettabytes by 2025 , up from 33 zettabytes in 2018. The proper data analysis provides fleet managers with an opportunity to monitor the total fuel costs and see the weak points. This ever-growing volume of information has given rise to the concept of big data.

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Will Machine Learning Save The Struggling Airline Industry?

Smart Data Collective

Competitive fares and bookings are monitored by the airlines, which allows revenue management to help airlines determine what strategy their schedule should take with the goal of driving demand. Still, from late 2018 on through 2019, many commercial airlines have ceased operations. In part, poor revenue management is to blame.

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