Smart Data Collective

AUGUST 8, 2019

Big data is the lynchpin of new advances in cybersecurity. Unfortunately, predictive analytics and machine learning technology is a double-edged sword for cybersecurity. Hackers are also exploiting this technology, which means that there is a virtual arms race between cybersecurity companies and black hat cybercriminals.

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Smart Data Collective

JANUARY 17, 2020

Predictive Analytics: Another way that Big Data can be used is to predict what patients might need before they need it. Big Data can work with cybersecurity to detect inaccurate claims before they become a bigger problem. One study found that big data can help reduce opioid use by 17%.

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Smart Data Collective

JUNE 12, 2019

Big data has led to impressive advances in cybersecurity and malware protection. The good news is that new machine learning and predictive analytics technology is making it much more secure. If you’re going to entrust all of your emails to Gmail, there are several tips you should implement for maximum security at all times.

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Smart Data Collective

DECEMBER 19, 2019

The more data it consumes the better for the hackers to create cybersecurity devastation. AI indeed helps to come up with stronger cybersecurity solutions. What Type of Cybersecurity Threats Can AI Bring? How Can AI Be Our Latest Cybersecurity Sheriff? Smart Tips to Implement AI Successfully in Cybersecurity.

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Smart Data Collective

OCTOBER 16, 2023

For example, predictive analytics detect unlawful trading and fraudulent transactions in the banking industry. Cybersecurity is another significant concern as data privacy and GDPR grow more crucial. Big data can be utilized to discover potential security concerns and analyze trends.

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Smart Data Collective

JULY 22, 2019

They use a variety of machine learning and predictive analytics models to target new marks and reach them more effectively. The New Jersey Cybersecurity and Communications Integration Cell has warned that AI-driven cyberattacks are more dependent on social engineering than ever.

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Smart Data Collective

DECEMBER 23, 2019

From predictive analytics to vulnerability databases, businesses already have access to everything they need. Predicting Problems. Faced with open source vulnerabilities, businesses need to take ownership over code vulnerabilities, but there are plenty of tools at their disposal.

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GAVS Technology

JANUARY 13, 2025

However, in general best practices recommends that since the landscape of Cyber Threat keeps evolving, we need to keep educating our leaders so that they understand the importance of Cybersecurity Awareness and Training in order to train the entire organization so they act as the first line of defense.

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The BAWorld

JANUARY 26, 2025

AI Predictive Analytics Im going to give you a funny relevance and you are going to like it! You know how you can predict if your friend is about to cancel plans based on their past behavior? Let’s talk about predictive analytics. This capability is particularly important in cybersecurity and fraud detection.

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Smart Data Collective

MAY 15, 2019

They both use predictive analytics, machine learning and other big data technology to improve privacy. This is why, in today’s world, paying extra attention to cybersecurity is vital. VPNs are popular, because they can protect your data from being sold.

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Smart Data Collective

APRIL 24, 2019

Predictive analytics and other big data technology have made this possible. Another benefit of using this type of solution is that it replaces the encumbrance of passwords by changing them with alternatives that have the capability to improve productivity.

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Sisense

AUGUST 14, 2020

Safeguarding software and users: AI in cybersecurity apps. One of the most exciting AI use cases today is happening in the field of cybersecurity, where AI methods are now commonly used to detect malware and malicious virus code embedded in files before they can do harm to systems. Predictive analytics AI boosts web app performance.

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Astera

APRIL 28, 2023

As the world moves towards an increasingly digital future, cybersecurity and data privacy have become two of the most pressing concerns businesses and individuals face. Predictive Analytics: By analyzing historical data, past incidents, and trends, AI is helping businesses take proactive measures to prevent cyber-attacks before they occur.

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Astera

APRIL 28, 2023

As the world moves towards an increasingly digital future, cybersecurity and data privacy have become two of the most pressing concerns businesses and individuals face. Predictive Analytics: By analyzing historical data, past incidents, and trends, AI is helping businesses take proactive measures to prevent cyber-attacks before they occur.

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GAVS Technology

JANUARY 13, 2025

However, in general best practices recommends that since the landscape of Cyber Threat keeps evolving, we need to keep educating our leaders so that they understand the importance of Cybersecurity Awareness and Training in order to train the entire organization so they act as the first line of defense.

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GAVS Technology

JANUARY 28, 2025

In 2023 alone, healthcare cyberattacks exposed the records of one in four individuals within nine months, emphasizing the urgency of cybersecurity within DR and BCP frameworks. Cybersecurity Threats: The rising frequency of cyberattacks demands comprehensive measures to protect sensitive data and maintain system uptime.

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Astera

JANUARY 23, 2023

Improved clinical care with predictive healthcare analytics Predictive analytics enable healthcare providers to establish patterns and trends from data that may predict future trends.

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Cprime

JANUARY 30, 2024

– AI is crucial in identifying and inventorying electronic PHI (ePHI), using deep learning to mimic trained humans’ abilities without cumbersome programming, and is necessary as traditional defenses are no longer sufficient against evolving cybersecurity threats. Can AI help with the predictive maintenance of medical equipment?

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Data Pine

JUNE 15, 2023

A great example of this is cybersecurity. The performance dashboard starts by providing a cybersecurity rating to help the company understand the quality of its efforts based on predefined criteria. Next, we get insights into the total intrusion attempts, backup frequency, and the meantime to detect and resolve any issues or threats.

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GAVS Technology

APRIL 5, 2021

These included infrastructure services, app development and management, cloud migration, offshore product development and most recently cybersecurity. Through predictive analytics, AI/ML-driven solutions, providers and payers use historic data to predict future outcomes such as the risk of certain diseases.

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GAVS Technology

MARCH 18, 2024

In a recent webinar hosted by GS Lab | GAVS with industry leaders in the cybersecurity space, we focused on the formidable challenges in healthcare data protection and why suitable investments in security technologies, solutions, and processes can make all the difference.

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GAVS Technology

AUGUST 16, 2021

Predictive scaling is a type of AI DevOps platform management service that predicts the spike in the workload of EC2 instances. Based on weekly/daily traffic on EC2 instances, predictive scaling can determine future traffic spikes. Thanks to AIOps, cybersecurity and compliance services can be conducted more effectively.

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Astera

OCTOBER 27, 2023

Whether you're into Dimensional Modeling for intuitive analytics or Data Vault Modeling for agile scalability, we have you covered. We've got both!

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Smart Data Collective

SEPTEMBER 30, 2022

Considering the current state of cybersecurity, our future may very well resemble something out of an Orwellian nightmare. When we consider the privacy breaches made possible by big data insights and analytics, the gravity of the situation becomes even clearer. There seems to be a constant decline in online privacy.

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GAVS Technology

JANUARY 13, 2025

However, in general best practices recommends that since the landscape of Cyber Threat keeps evolving, we need to keep educating our leaders so that they understand the importance of Cybersecurity Awareness and Training in order to train the entire organization so they act as the first line of defense.

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Smart Data Collective

DECEMBER 12, 2020

Financial institutions can use data analytics to develop better predictive analytics models to identify the risks associated with lending and project the expected expenditures through insurance policies. Better Cybersecurity. Cybersecurity is another very important area where big data can be particularly valuable.

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CMW Lab Blog

JANUARY 24, 2025

These technologies provide real-time process monitoring and predictive analytics to optimize effectiveness. Applications of AI in BPM Real-Time Monitoring : Track and adjust workflows dynamically with AI-powered analytics, reducing downtime. Safeguarding sensitive data is mandatory, particularly with growing cybersecurity risks.

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GAVS Technology

JANUARY 28, 2025

In 2023 alone, healthcare cyberattacks exposed the records of one in four individuals within nine months, emphasizing the urgency of cybersecurity within DR and BCP frameworks. Cybersecurity Threats: The rising frequency of cyberattacks demands comprehensive measures to protect sensitive data and maintain system uptime.

Healthcare 52

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GAVS Technology

MAY 7, 2021

Srinivasan Sundararajan. Democratization of AI in Healthcare. Organizations are becoming increasingly digital and Artificial Intelligence is being deployed in many of them. Often small tech-savvy start-ups and large firms with huge funds, like those in technology and finance businesses, are deploying sophisticated forms of AI.

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Dataversity

JANUARY 11, 2021

Click to learn more about co-author Adam Carrigan. Click to learn more about co-author Jorge Torres. Traditionally, machine learning tools were only available to enterprises with the necessary budget and expertise.

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GAVS Technology

JANUARY 13, 2025

However, in general best practices recommends that since the landscape of Cyber Threat keeps evolving, we need to keep educating our leaders so that they understand the importance of Cybersecurity Awareness and Training in order to train the entire organization so they act as the first line of defense.

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