Introduction In this blog, we will cover the most frequently asked question ‘what is cloud security, and what are the common cloud vulnerabilities associated with it are.    Did you know that cloud computing is a billion industry? Not only is it a billion-dollar industry, but it continues to grow every day! Individual use of cloud storage services is becoming more common as consumers become more tech-savvy. Cloud migration is accelerating because it introduces low-cost, flexible services into a previously expensive technological sphere. Moreover, cloud computing introduces new security challenges.    We know you have several questions in your mind about the various terms we have used in the above paragraph. You must have an understanding of how to protect cloud data. In this blog, we will provide information about cloud security solutions and best practices you can use to control your cyber safety.   What is Cloud Security?   With the onset of advancements in technology, cloud usage has exponentially increased. It was especially accelerated during the pandemic when businesses were transitioning into digital modes. With the increase in adoption, the increase in bad actors focusing their efforts on exploiting common cloud vulnerabilities also grew.    The cloud is here to expand further—and …

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A leading digital authority and consulting company, SoftServe and Google Cloud Premier Partner has achieved the Document AI Expertise. They have received this in the Google Cloud Partner Advantage Program.  The Expertise from the program reinforces SoftServe’s technical experience in using artificial intelligence (AI) and machine learning (ML) to reveal crucial insights from text data and documents. The company has also recognized the proficiency of AI and ML for document insights. It increases operational efficiency, inform decision making, and improve customer experience using Google Cloud.  Also Read: Twitter and Google Cloud are Expanding their Strategic Partnership to Improve Data Insights  “Our AI/ML competencies applied to Document AI customer use cases allow enterprises to efficiently scan, analyze, and understand their documents while reducing the costs of manual data entry and collection,” said Andrew Greene, Associate Vice President, Cloud Partnerships & Alliances at SoftServe.   “We help our customers discover key insights to better understand the value in their documents by simplifying unstructured data using Google Cloud’s optical character recognition (OCR) and Cloud Natural Language technology.”  Google Cloud’s Document AI Expertise is bestowed on partners demonstrating success. They should be able to leverage a suite of document processing tools including pre-process, digitize (scan), classify, and extract text entities from documents.   Google Cloud Document AI helps businesses improve operational efficiency by automating the process of extracting information in the form of structured data from unstructured documents. Hence, it makes this information …

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Google Cloud has officially announced that they are expanding a new, multi-year, strategic partnership with Twitter. Under this partnership, both the company will deepen their initial work and move their offline analytics, machine learning, and data processing.    Besides, Twitter will be shifting their workloads to Google’s Data Cloud which will allow a faster analysis of data and improve the experience for everyday users of their service.   Behind every Tweet, there are a series of data points that helps the team understand how people are using the service, and what types of content they might want to see.   Also Read: Ford and Google Will Reinvent Connected Vehicle Experience Their database is huge as the platform ingests trillions of events, runs tens of thousands of jobs and processes hundreds of petabytes of data every day. All this data is then processed.    With companies expanded partnership, Twitter is adopting Google’s Data Cloud and along with that, they will include Dataflow, BigQuery, Cloud Bigtable, and machine learning (ML) tools.    These tools will power the rapid growth of the data ecosystem and enable faster data-informed decisions. Along with this, it will also deeper ML-driven product innovation.   Hence, the company will have the ability to democratize data access …

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Today, Finastra announced the availability of its next-generation Fusion Data Cloud. The suite is designed to help financial institutions to grow revenue, improve customer engagement, digitize processes for efficiency, and decrease manage risk.   Also Read: IBM Announced a New Spinoff to Accelerate its Cloud and AI Growth  Fusion Data Cloud provides:   Data ecosystem that is supported by secure Microsoft Azure technology and Fusion Data Cloud. This will enable banks to share their data with leading fintech from external data sources. These solutions are integrated with Finastra core products to enable fast delivery, drive scale, and provide flexibility to increase customer value.   Actionable insights created by artificial intelligence (AI) and machine learning (ML) algorithms that predict and prescribe analytics and delivery of real-time decision-making service. For example, potential churn and better understand customer behavior.   Connected experiences: Business Intelligence (BI) tools provide analytics visualization and omnichannel interaction with six AI- and ML-driven BI solutions. For example, gain an operational and 360-degree view based on payment data based on mortgage data.   Eli Rosner, Chief Product and Technology Officer at Finastra, says “Finastra is uniquely placed to connect fintech, financial institutions, and third parties to accelerate the creation of innovative data solutions for our customers and our partners. Those that …

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