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AI and Cybersecurity

Today’s security teams face many challenges—sophisticated hackers, an expanding attack surface, an explosion of data and growing infrastructure complexity—that hinder their ability to safeguard data, manage user access, and quickly detect and respond to AI security threats AI is used in cyber security to quickly analyze millions of events and identify many different types of threats

Protecting data across hybrid cloud environments

AI tools can identify shadow data, monitor for abnormalities in data access and alert cybersecurity professionals about potential threats by malicious actors accessing the data or sensitive information—saving valuable time in detecting and remediating issues in real time.

Generating more accurate and prioritized threats

AI-powered risk analysis can produce incident summaries for high-fidelity alerts and automate incident responses, accelerating alert investigations and triage by an average of 55%. The AI technology also helps identify vulnerabilities across threat landscapes and defend against cybercriminals and cyber crime. 

Balancing user access needs and security

AI models can help balance security with user experience by analyzing the risk of each login attempt and verifying users through behavioral data, simplifying access for verified users and reducing the cost of fraud by up to 90%.  Also, AI systems help prevent phishing, malware and other malicious activities, ensuring a high security posture within security systems.

AI and Healthcare

Artificial intelligence (AI) technologies are revolutionising nearly every aspect of healthcare. From data management to drug discovery and development to clinical practice and patient care, the innovations of AI continue to optimise and advance medical services. By understanding the impact of current and emerging AI technologies—including global trends and regulatory constraints—healthcare professionals can drive decision-making, elevate patient care, and improve profitability and performance. The Artificial Intelligence (AI) in Medical Coding and Billing Course will provide medical professionals, coders, and billers with an understanding of AI applications in coding and billing procedures.

SAP MM

SAP MM, It is an ERP system that deals with procuring, processing and production of materials with transactions such as Purchase Order (PO), Purchase Requisition (PR), Contracts, Inventory Valuation, Vendor Management and Materials Requirement Planning. SAP MM is related to the SAP ERP Logistics system. Each system needs data. For SAP MM it needs data related to the materials, vendors, plants, storage locations and inventory management. That data is called Master Data.

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