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Data Security in the AI Era | Expert Opinion

Analytics Vidhya

.” – Ajoy Singh, COO and Head of AI, Fractal Analytics With the increasing use of generative AI, the importance of data security on these platforms has become a growing concern.

Analytics 266
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What is Data Security? |Threats, Risks and Solutions 

Analytics Vidhya

Data security is a critical concern for individuals, organizations, and governments as cyber attacks continue to rise in frequency and severity. These alarming numbers underscore the need for robust data security measures to protect sensitive information such as personal data, […] The post What is Data Security?

Risk 225
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Cyber Security vs. Data Science: Which is a Better Career Option?

Analytics Vidhya

Cybersecurity and data science have emerged as powerhouses in today’s quickly changing digital landscape, bringing exciting career prospects and the ability to have a substantial effect. But the crucial query […] The post Cyber Security vs. Data Science: Which is a Better Career Option?

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AI Listens to Your Keystrokes: A New Data Security Threat

Analytics Vidhya

A groundbreaking AI system developed by researchers at the Universities of London, Durham, and Surrey has taken data security concerns to a new level. This cutting-edge algorithm can eavesdrop on your keyboard to decipher your typing based solely on audio recordings.

Risk 218
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The Essential Guide to Analytic Applications

We interviewed 16 experts across business intelligence, UI/UX, security and more to find out what it takes to build an application with analytics at its core. Embedding dashboards, reports and analytics in your application presents unique opportunities and poses unique challenges.

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Ensuring Secure Data Management With Blockchain Technology

Analytics Vidhya

Introduction Blockchain technology can be used in secure and transparent data management by providing a decentralized ledger for recording transactions. This eliminates the need for intermediaries, reducing the risk of data breaches and cyber-attacks.

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3 data security disciplines to drive AI innovation

CIO Business Intelligence

The surging interest in implementing AI has directly increased the volume of data that organizations store across their cloud environments. The surging interest in implementing AI has directly increased the volume of data that organizations store across their cloud environments.

Risk 112
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The Next-Generation Cloud Data Lake: An Open, No-Copy Data Architecture

In an effort to be data-driven, many organizations are looking to democratize data. However, they often struggle with increasingly larger data volumes, reverting back to bottlenecking data access to manage large numbers of data engineering requests and rising data warehousing costs.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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Upgrading Data Security in a Crisis

Speaker: M.K. Palmore, VP Field CSO (Americas), Palo Alto Networks

In this webinar, you will learn: The future of data security. Preparing for crises that lead to security threats. How to update existing tech stacks to optimize data security. And much more! Thursday September 10th, 2020 at 11AM PDT, 2PM EST, 6PM GMT.

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The Unexpected Cost of Data Copies

An organization’s data is copied for many reasons, namely ingesting datasets into data warehouses, creating performance-optimized copies, and building BI extracts for analysis. Read this whitepaper to learn: Why organizations frequently end up with unnecessary data copies.

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From Complexity to Clarity: Strategies for Effective Compliance and Security Measures

Speaker: Erika R. Bales, Esq.

When we talk about “compliance and security," most companies want to ensure that steps are being taken to protect what they value most – people, data, real or personal property, intellectual property, digital assets, or any other number of other things - and it’s more important than ever that safeguards are in place. Bales, Esq.

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4 Key Steps to Data Transformation Success with Data Mesh

Today, the average enterprise has petabytes of data. Disparate datasets and technologies make it more difficult than ever to give your customers and users the information and insight they need, when they need it (and how they want it) while addressing the complexities of compliance, governance, and security.

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Data Analytics in the Cloud for Developers and Founders

Speaker: Javier Ramírez, Senior AWS Developer Advocate, AWS

You have lots of data, and you are probably thinking of using the cloud to analyze it. But how will you move data into the cloud? How will you validate and prepare the data? What about streaming data? Can data scientists discover and use the data? Will the data lake scale when you have twice as much data?

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The Ultimate Embedded Analytics Guide

In today’s ambitious business environment, customers want access to an application’s data with the ability to interact with the data in a way that allows them to derive business value. After all, customers rely on your application to help them understand the data that it holds, especially in our increasingly data-savvy world.