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Using Generative AI to Drive Corporate Impact

TechEmpower SaaS

Generative AI is revolutionizing how corporations operate by enhancing efficiency and innovation across various functions. Focusing on generative AI applications in a select few corporate functions can contribute to a significant portion of the technology's overall impact.

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AI Design Patterns

Tom Tunguz

As we’ve been researching the AI landscape & how to build applications, a few design patterns are emerging for AI products. They help us understand how builders are engineering AI applications today & which components may be important in the future. The first design pattern is the AI query router.

AI 317
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AI Reaccelerating Cloud Growth

Tom Tunguz

This growth is fueled by AI workloads. ” “Higher-than-expected AI consumption contributed to revenue growth in Azure.” “In Azure, we expect revenue growth to be 26% to 27% in constant currency with an increasing contribution from AI. Google, on the other hand, declined after having plateaued last quarter.

AI Search 294
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AI Day is Coming Digitally to SaaStr on March 27 2024!

SaaStr

Building off the popularity of our AI Day at last September’s SaaStr Annual , we’re bringing it back online this March on Wednesday, March 27th for a completely live, digital event that will bring the global SaaStr community together with the brightest innovators in Artificial Intelligence for a day of digital content.

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Democratizing AI for All: Transforming Your Operating Model to Support AI Adoption

Democratization puts AI into the hands of non-data scientists and makes artificial intelligence accessible to every area of an organization. But in order to reap the rewards that AI offers, it is essential that businesses first address how their organizations are set up, from their people to their processes. Building trust in AI.

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Standard Issue AI

Tom Tunguz

“For some companies, [AI is] going to be standard issue like a PC.” Microsoft’s document database, Cosmos, grew 42% annually, driven by AI. “Cosmos DB is the go-to database to build AI-powered apps at any scale… Cosmos DB data transactions increased 42% year-over-year.”

AI 196
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What Happens When AI Performance Asymptotes?

Tom Tunguz

In the past, the bigger the AI model, the better the performance. This is a chart of many recent AI models’ performance according to a broadly accepted benchmark called MMLU. 1 MMLU measures the performance of an AI model compared to a high school student. OpenAI Model Release Date Parameters, B MMLU GPT2 2/14/19 1.5

AI 195
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10 Keys to AI Success in 2023

An organization’s path to AI success can be full of obstacles, from a proper assessment of its own AI maturity, to a better alignment between business and technical teams, many factors can influence the outcomes. While AI progress is hard, companies don’t have to get stuck in an endless loop of inertia on their path to value-driven AI.

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Humility in AI: Building Trustworthy and Ethical AI Systems

AI is becoming ubiquitous. The number of critical touch points is growing exponentially with the adoption of AI. But with the incredible pace of the modern world, AI systems continually face new data patterns, which make it challenging to return reliable predictions. Brought to you by Data Robot.

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AI in Manufacturing

In our AI in Manufacturing eBook, you can learn how to solve your most urgent manufacturing and business needs with an enterprise AI platform. Get this eBook to learn about: Achieving ROI with AI and delivering valuable results with urgency. How AI modernizes demand forecasting, supply chain, and predictive maintenance.

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The Executive Guide to Generative AI

Generative AI is taking the world by storm, but the questions that all CEOs, data leaders, and AI leaders are being asked are: What are we going to do about it, and what is our plan? The business and creative possibilities are practically limitless with generative AI.

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How to Choose an AI Vendor

You know you want to invest in artificial intelligence (AI) and machine learning to take full advantage of the wealth of available data at your fingertips. But rapid change, vendor churn, hype and jargon make it increasingly difficult to choose an AI vendor. The five key things to consider when looking for an AI vendor.

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Trusted AI 102: A Guide to Building Fair and Unbiased AI Systems

The risk of bias in artificial intelligence (AI) has been the source of much concern and debate. Numerous high-profile examples demonstrate the reality that AI is not a default “neutral” technology and can come to reflect or exacerbate bias encoded in human data. Are you ready to deliver fair, unbiased, and trustworthy AI?

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Addressing Top Enterprise Challenges in Generative AI with DataRobot

The buzz around generative AI shows no sign of abating in the foreseeable future. Enterprise interest in the technology is high, and the market is expected to gain momentum as organizations move from prototypes to actual project deployments.

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Build Trustworthy AI With MLOps

For businesses that are AI-driven, this trust hinges on the confidence that their AI solution can help them make their most critical decisions. In our eBook, Building Trustworthy AI with MLOps, we look at how machine learning operations (MLOps) helps companies deliver machine learning applications in production at scale.