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Here’s How You May Start Using Google’s Gemini?

Analytics Vidhya

In this article, we’ll talk about how you may start using Gemini AI right now, within Google’s Bard chatbot, unlocking new dimensions of interactive and refined chat experiences. The Gemini Google’s recent […] The post Here’s How You May Start Using Google’s Gemini?

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Want to learn Blockchain? Start Your Journey Here!

Analytics Vidhya

Introduction on Blockchain In this article, we will learn about blockchain, what is blockchain, how transactions are made, and how bitcoin transactions are made. Nowadays we are hearing about many attacks on computer system security. Start Your Journey Here! There is no guaranteed security.

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The Real Problem with Software Development

O'Reilly on Data

Lots of applications and tools start simple. We also see this phenomenon as one application replaces another. We also see this phenomenon as one application replaces another. One advantage of computers, of course, is that they don’t care about complexity. They do 80% of the job well, maybe 90%. I’m not the one to say.)

Software 304
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ChatGPT, Author of The Quixote

O'Reilly on Data

We have many current and future copyright challenges: training may not infringe copyright, but legal doesn’t mean legitimate—we consider the analogy of MegaFace where surveillance models have been trained on photos of minors, for example, without informed consent. We direct their dreams with prompts. They are dream machines.

Modeling 273
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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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Quality Assurance, Errors, and AI

O'Reilly on Data

Generative AI will be used to create more and more software; AI makes mistakes and it’s difficult to foresee a future in which it doesn’t; therefore, if we want software that works, Quality Assurance teams will rise in importance. We quickly run into an extension of Kernighan’s Law : debugging is twice as hard as writing code.

Testing 191
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Why We Open-Sourced Our Data Observability Products

DataKitchen

Introducing DataKitchen’s Open Source Data Observability Software Today, we announce that we have open-sourced two complete, feature-rich products that solve the data observability problem: DataOps Observervability and DataOps TestGen. We’ve been a profitable customer-funded company for the last ten years.

Testing 100
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Value-Driven AI: Applying Lessons Learned from Predictive AI to Generative

Speaker: Data Robot

In this session, we will debate whether and how these same lessons can help organizations get to value more quickly with generative AI. You'll learn more about biggest dos and don’ts from our predictive experiences: How to qualify first projects Which problems to start with When to deploy AI

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The ABM Benchmark Survey

In a recent survey with Demand Gen Report, we found 59% of experienced practitioners (those with ABM programs more than a year old) indicated their ABM programs are meeting or greatly exceeding their expectations, while only 45% of novices (those with ABM programs less than one year old) could say the same.

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Serverless and Containers: How to Choose the Right Application Strategy

Speaker: Tolga Tarhan, Senior Vice President, GM AWS Services at Onica

How do you, as a technology leader, point your team in the right direction, especially given how quickly this is evolving? We are excited to be joined by a leading expert who has helped many organizations get started on their cloud native journey. Join us to learn how you can unlock the benefits of the modern tech stack!