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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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The Key to Security: Combining IOT and Blockchain Technology

Analytics Vidhya

This article explains how to combine IoT and Blockchain for security. Blockchain technology, which […] The post The Key to Security: Combining IOT and Blockchain Technology appeared first on Analytics Vidhya.

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Nicholas Brackney, Dell: How we leverage a four-pillar AI strategy

AI News

Dell is deeply embedded in the AI landscape, leveraging a comprehensive four-pillar strategy to integrate the technology across its products and services. Dell is well-positioned to help customers navigate AI workloads, emphasising choice and adaptability through the various evolutions of emerging technology.

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The Growing Threat of Data Leakage in Generative AI Apps

Unite.AI

It shows the need for implementing data management and security protocols to prevent compromising information such as private data. As Bloomberg reported, a Samsung internal survey found that a concerning 65% of respondents viewed generative AI as a security risk. AI leaders have a responsibility to be proactive.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Challenges like infrastructure costs, safety concerns, as well as uptime and scaling can all be avoided with the right embedded analytics technology. Embedded analytics offers a strategic solution to this challenge.

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Elon Musk’s xAI secures $6B to challenge OpenAI in AI race

AI News

According to the company, this money will help bring xAI’s first products to market, build advanced infrastructure, and accelerate research and development efforts into future technologies. Continuing this AI race for chips, talent, and technology will be expensive. Musk has some history in the AI space.

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Enterprises’ best bet for the future: Securing generative AI  

IBM Journey to AI blog

IBM and AWS study: Less than 25% of current generative AI projects are being secured The enterprise world has long operated on the notion that trust is the currency of good business. But as AI transforms and redefines how businesses operate and how customers interact with them, trust in technology must be built.

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7 Questions Every App Team Should Ask

In its 2020 Embedded BI Market Study, Dresner Advisory Services continues to identify the importance of embedded analytics in technologies and initiatives strategic to business intelligence. Which sophisticated analytics capabilities can give your application a competitive edge?

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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.