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Cloud Computing

A Guide to Certificate Lifecycle Management: Benefits and Use Cases


There is a growing need for modern digital Certificate Lifecycle Management (CLM) solutions that can help organizations address the expanding challenges associated with managing digital identities for humans and machines. Enterprises are struggling to rapidly deploy, discover, revoke, and replace digital certificates amid their increasingly heterogenous IT environments, which are scattered across on-premises and cloud environments. Cloud adoption, digital transformation initiatives, remote work environments, automation, IoT, and other factors have driven a sharp rise in the volume of digital certificates that organizations must manage. Enterprises are using these certificates to authenticate machine and human identities in a variety of use cases, including identity-first zero-trust access, passwordless authentication, digital signing, and robotic process automation (RPA) security. The growing volume and types of digital certificates in use have put an enormous strain on traditional approaches to manage certificate lifecycles.

IT Leaders Consider Security Tech a Part of Business Transformation


With new threats disrupting business operations and an increasingly strict regulatory environment, security is no longer a risk mitigation activity or a growth inhibitor. Rather, information security is increasingly being viewed as strategic business enabler for the enterprise. That is evident in IDG's 2022 State of the CIO Survey, where IT leaders and line of business (LOB) executives were asked which technologies they expected to have the greatest effect on how their company functions over the next few years. While the respondents list the usual suspects – big data/analytics, AI/machine learning, and cloud infrastructure – in the top 3, 19% say identity and access management has the most potential to significantly impact business operations. In a distributed world, identity and access management (IAM) is instrumental in managing security in a cloud-based world, which makes its placement between cloud infrastructure and cloud databases (picked by 17% of respondents) appropriate.

New Report Offers Glimpse Of How AI Will Remake Spywork


Unless the intelligence community changes the way it defines intelligence and adopts cloud computing, it will wind up behind adversaries, private interests, and even the public in knowing what might happen, according to a new report from the Center for Strategic and International Studies. Intelligence collection to predict broad geopolitical and military events has historically been the job of well-funded and expertly staffed government agencies like the CIA or the NSA. But, the report argues, the same institutional elements that allowed the government to create those agencies are now slowing them down in a time of large publicly-available datasets and enterprise cloud capabilities. The report, scheduled to be released Wednesday, looks at a hypothetical "open-source, cloud-based, AI-enabled reporting," or OSCAR, tool for the intelligence community, a tool that could help the community much more rapidly detect and act on clues about major geopolitical or security events. The report lists the various procedural, bureaucratic, and cultural barriers within the intelligence community that block its development and use by U.S. spy agencies.

Google Cloud Platform with ML Pipeline: A Step-to-Step Guide - Analytics Vidhya


This article was published as a part of the Data Science Blogathon. Cloud computing is a technology that uses the computer system resources like cloud storage, computing power, and they manage data on remote servers and access them via the internet. To know more about Cloud computing. In the last 5 years, the demand for cloud computing keeps on increasing day by day. Many new cloud service providers came to the market. One of the most popular cloud services is the Google cloud platform. In this article, we are going to deep dive into the ML pipeline in GCP (Google cloud platform).

Finance Manager - Alexa, Artificial Intelligence


Job summaryAmazon seeks a highly effective Finance Manager to be a key member in the Echo/Alexa Finance team. Alexa is the name of the Amazon cloud service that powers the Echo device family, the groundbreaking Amazon devices designed around your voice. This is an exciting opportunity to join one of the most innovative, creative, and fastest growing businesses at Amazon. This role will partner with the Alexa Artificial Intelligence group which develops the core AI functionality of Alexa.The successful candidate will have shown experience in past roles influencing business owners and supporting decision making in rapidly evolving environments. This role requires a self-starter who is comfortable working in an ambiguous environment with strong data gathering and modeling skills. The role also has regular interaction with various business units across Amazon and therefore requires strong interpersonal and communication skills.Key job responsibilities· Administration of short and long-term financial forecasting and planning· Measuring operational and business metrics· Establishing controls and providing recommendations for investment efficiency· Presenting financial summaries and business insights to senior management

The essential role of AI in cloud technology


As multiple industries shift more into the world of cloud computing, talks of Artificial Intelligence (AI) integration in order to enhance cloud performance has continued at a dramatic pace. Combining both AI and cloud technology together, is beneficial to varying degrees, nevertheless, there is still some further progress to be made across the substantial challenges that technical developers are facing for a more cohesive integration. Cloud computing alone allows companies to be more flexible whilst simultaneously providing economic value when hosting data and applications on the cloud. AI-powered analytical data insights plays an essential role in its enhanced capabilities in data management However, it begs the question, can AI and cloud unification streamline data efficiently and what other benefits can arise from this integration? Due to the financial and personal sensitivity in which organizations carry, thoughts also turn to the important question of integration effectiveness and more specifically how well it can protect privacy whilst companies are continually at risk of a potentially serious cybersecurity breach, especially because an increased rate of workforces are now working from home remotely.

4 Digital Transformation Trends That Will Dominate Enterprises in 2022


Digital Transformation is maturing and companies pursuing it are enjoying the harmonious growth and benefits. As many presume, implementing Digital Transformation is not for going mobile but ensuring a company-wide growth. According to Forbes, Fifty-seven per cent cite "integrating all social, mobile, web, commerce, service efforts and investments to deliver an integrated, frictionless, and omnichannel customer experience" as a long term goal; fifty-four percent cite it as a short term one. Forty-nine per cent seek to "modernize IT infrastructure and technologies with increased agility, flexibility, manageability and security" in the long term; forty-five in the short term. With leading digital transformation services as your partner, it can be achieved without any discomfort.

Amazon fixes security flaw in AWS Glue service


Amazon Web Services has fixed two flaws affecting AWS Glue and AWS CloudFormation. The bug in AWS Glue could allow an attacker using the service to create resources and access data of other AWS Glue customers, according to Orca Security. It's easier than ever for enterprises to take a multicloud approach, as AWS, Azure, and Google Cloud Platform all share customers. Here's a look at the issues, vendors and tools involved in the management of multiple clouds. Orca researchers say it was due to an internal misconfiguration within AWS Glue, which AWS today confirmed it has since fixed.

Google Professional Machine Learning Engineer Certification


This learning path is designed to help you prepare for the Google Certified Professional Machine Learning Engineer exam. Even if you don't plan to take the exam, these course will help you gain a solid understanding of how to implement machine learning on Google Cloud Platform.

How banks are building a vibrant future: 3 top strategies for digital innovation


Banks are turning to a range of new technologies to improve the customer experience and fend off competition from new players in the financial services marketplace. Banks today are operating in a highly dynamic economic and business environment, and the pressure is on to modernize their IT operations. They face some significant challenges. Low interest rates, along with the significant impact of COVID-19 (which increased credit risks), are reducing core profitability. Banks are looking for ways to reduce costs and grow revenue to counter increasing competition from Fintech firms and digital giants (Bigtechs).