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Want to give your enterprise a view of trends in customer patterns? What's a better way than utilizing the power of machine learning models here? Many big names, like Google, Uber, and Facebook, are incorporating the use of machine learning to make their business more operational, and so can you. There are many different types of machine learning models, but to give you an insight, we're going to discuss a few main ones ahead. 1.     Supervised Learning Models A supervised learning model is a type of machine learning model where labeled datasets are used to train machines. The datasets have both input and output data provided. Machines now process data on the basis of what they have been taught and give results as output. This is the same as learning under the supervision of a teacher in a school. Image and voice detection is an excellent example of how supervised learning models are being used in our daily life. 2.     Unsupervised Learning Models Cluste...

  Information security concerns all organizations, including those that outsource vital business operations to third-party vendors (e.g., SaaS, cloud-computing providers). Mishandled data especially by application and network security providers can leave enterprises vulnerable. Attacks like data theft, extortion, and malware installation can become common. SOC 2 compliance steps in to protect your safe from all threats. SOC 2 is an auditing process that secures your service providers to securely manage your data to safeguard your organization's interests and clients' privacy. SOC 2 compliance is a minimal prerequisite for security-conscious businesses considering a SaaS provider. About SOC 2 SOC 2 audits were established by the (AICPA) American Institute of Certified Public Accountants with the ambition of verifying and ensuring the cybersecurity controls implemented by service providers. They are analogous to SOC 1 audits developed by the AICPA to assure a service pro...