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We are going to be at the Dubai Expo from OCT 1 to 11,2021 We'd Love to meet you! Ping us at info@taliun.com

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World Hypertension Day

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Role of AI in Digital Health Adoption https://www.taliun.com/healthviva

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Best experience in the world is to enter into another world world through a portal called Book! https://www.taliun.com/

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Digital Mortgage

Leverage the power of data and solutions to drive your mortgage decisions and bring operational efficiencies across the loan life-cycle

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Achieving True Digital Mortgage Using Emerging Technologies

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How Digital Health Apps are driving investment trends in the year 2021?

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7 areas of Artificial Intelligence (AI) impact in Healthcare and Life Sciences

In the realm of health care, Artificial Intelligence (AI), data science, and Machine Learning (ML) have revolutionized how patients are being treated without direct human intervention. This is made possible by gathering information about a patient and arriving at a logical conclusion which can then be used to prescribe a remedy. Artificial Intelligence which is defined as a technology that imparts human intelligence into a computer does it using a series of well-organized algorithms. These algorithms which are the guiding principle behind any artificial intelligence technique are set apart from human behavior in two basic ways: (i) algorithms are not able to adjust the goals and work as per the preset goals and (ii) algorithms possess the capability of predicting precisely but are not able to assign the reasons behind the prediction.

The technology that is finding new avenues in the healthcare industry today had its beginning dating back to the later part of the twentieth century ie, the late 1960s and the early 1970s with the development of MYCIN and other AI techniques that could be used in the field of medicine. These AI technology, however, did not get recognition from the medical fraternity. With the advancements in the field of microcomputers and internet connectivity during the years ranging from the late 1980s to the 1990s, the researchers and the developers unanimously decided to redesign the AI technology in healthcare to have within it a vast storehouse of patients’ data and the response of the physicians.

The recent developments in the healthcare industry which have been ushered in using the technology of artificial intelligence include:

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What is HIMS?

HIMS stands for Health Information Management system that is targeted on providers to streamline the care delivery services they provide. The intent of such systems is to enhance the quality of care by streamlining the workflows of different departments

To know more about our digital health offerings please visit https://www.taliun.com/health-tech

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https://www.taliun.com/difference-between-microsoft-azure-security-center-and-azure-sentinel

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Difference between Microsoft Azure Security Center and Azure Sentinel

Many Cloud Engineers often fail to get the difference between Azure Security Center (ASC) and Azure Sentinel. These two products look very comparative at first and both are offered by Microsoft to secure your Azure infrastructure to the best of their abilities. There are a few fundamental explanations behind this confusion and in this article, we will have a closer look at what makes these two stand apart from each other. Azure Security Center vs. Azure SentinelAzure Security Center is a security management framework offered by Microsoft to Azure clients. It helps the Azure infrastructure by giving visibility and authority over the security of Azure sources such as Virtual Machines, Cloud Services, Azure Virtual Networks, and Blob Storage. Whereas, Azure Sentinel is a cloud-native, security information event management (SIEM) and security orchestration automated response (SOAR) solution provided by Microsoft to assist clients with a birds-eye view across a certain project. Security ManagementWith Azure Security Center (ASC), you can deal with your cloud security to help prevent any cyber-attacks and misconfiguration by strengthening your security for various responsibilities deployed in Azure or on-premises. When discussing cloud security management, we are referring to three significant factors: • Visibility• Monitoring• Compliance Azure Security Center extends its security management activities to counter the latest risks on cloud platforms to ensure against cyber-attacks for workloads deployed in Azure, on-premises, or third-party cloud services, for example, GCP, AWS, and so on. But with Azure Sentinel, we can have smarter security management and risk management for alert detection, risk visibility, proactive monitoring, and threat response for cutting edge and refined cyber-attacks. You can also have Azure Security Center enabled in your membership to receive security alerts to Azure Sentinel from Azure Security Center. Azure Sentinel leverages Machine Learning (ML) and AI (Artificial Intelligence) to make threat monitoring more brilliant. Azure Security Center can generate alarms for various sorts of resources deployed – taking your security a step further. Issues & Challenges Azure Security Center tends to solve the following security issues and challenges: • Consistently evolving workloads: While users can accomplish more on the cloud, the workloads keep changing constantly. ASC takes care of all the dynamic workload by itself. • Progressively complex attacks: As users run their jobs on the public cloud, attacks are increasing. Doing so could open them to more weaknesses if they don't follow best security practices. Azure Security Center can help deal with that task. • Shortage of security skills: A high number of safety alerts and cautioning frameworks can overpower security administrators, particularly if they're not experienced and skilled enough. Be that as it may, Azure Security Center can help administrators deal with such attacks and threats. Whereas, Azure Sentinel deals with the following security issues and challenges: • Automation and Orchestration: Sentinel supports automated threat responding frameworks called "playbooks". Playbooks, based on Azure Logic Apps, set up a series of procedures to run when the situation arises. Administrators can make their playbooks using the Logic App tools. • Deep Analysis of Issues: An amazing element of Sentinel is the ability to do "hunting" and deep analysis of issues. It shows triggered alerts’ explanation. In this way, the administrator seeing it can appoint the case to somebody with proper reasoning. Use cases of Azure Sentinel • In Microservices architecture Application logging will flood the activity/event logging with various types of logs from various Azure resources. Sentinel will be handy when we need to build intelligent threat alert system using those tons (GB/TB) of logs • Institutive graph helps to analyze / investigate threats • Sentinel allows to build automation to respond on threat detection and takes necessary action to prevent it further. E.g. if number for 401 (Unauthorized) errors are increased then it can automatically block specific Ips Use case of Azure security center • In Microservices architecture, your product is deployed using various Azure resource. Azure Security Center makes sure that security health of all your assets/resources is in the best shape and detects any security threat timely manner. • Azure security center provides recommendations like disk/database encryption, Missing OS patches, End point (API) protection, regulatory compliance (ISO, PCI, SOC, etc..) reports