Remove insights data-security
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IBM and TechD partner to securely share data and power insights with gen AI

IBM Big Data Hub

As technology expands, at TechD , we know that the quality of generative AI (gen AI) depends on accurate data sourcing. A reliable and trustworthy data source is essential for sharing information across departments. This addresses data management, conversational interface and natural language processing needs with efficiency.

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Insights from Gartner’s 2023 Data Security Hype Cycle – Data Security Posture Management (DSPM) Highlights

Laminar Security

Introduction In the ever-evolving landscape of data security, staying ahead of emerging threats and challenges is critical for organizations. In this blog, we will delve into the key insights from the report and emphasize the significance of DSPM in shaping the data security industry.

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Advancing Data Security With IBM Security Guardium Insights for IBM Cloud Pak for Security

CDW Research Hub

Data security is foundational to your organization’s security posture and operational resilience. A proactive data security approach drives better success in protecting your critical assets and brand trust. You now have an extended arsenal of tools to call on in your quest for better data security.

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Unraveling the Power of Blockchain: An Insight into Layered Architecture

Analytics Vidhya

Introduction The need for cyber security in present industries cannot be understated. Businesses use robust cyber security measures to protect their systems and data. With the rise of the internet and the increasing reliance on computer systems, the threat of cyber attacks has grown exponentially.

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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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Exploring Udemy Courses Trends Using Google Big Query

Analytics Vidhya

Introduction Google Big Query is a secure, accessible, fully-manage, pay-as-you-go, server-less, multi-cloud data warehouse Platform as a Service (PaaS) service provided by Google Cloud Platform that helps to generate useful insights from big data that will help business stakeholders in effective decision-making.

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Power analytics as a service capabilities using Amazon Redshift

AWS Big Data

The AaaS model accelerates data-driven decision-making through advanced analytics, enabling organizations to swiftly adapt to changing market trends and make informed strategic choices. times better price-performance than other cloud data warehouses. Amazon Redshift delivers up to 4.9 times lower cost per user and up to 7.9

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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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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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Upgrading Data Security in a Crisis

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

He will use a combination of industry insights through statistical observations and direct customer feedback to emphasize the importance of adopting new technologies to battle an ever changing threat landscape. In this webinar, you will learn: The future of data security. Preparing for crises that lead to security threats.

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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.