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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 310
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Everyone’s Adding AI. But That Doesn’t Mean It’s Accelerating Growth.

SaaStr

So obvious AI is a generational change in software. That the Open AIs, Microsofts and Databricks “get it”, that Nvidia is the fuel, that all the hot start-ups are AI native and still raising at unicorn valuation … and that many SaaS leaders are sort of being left in the dust. But just bolting on Gen AI?

AI 211
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Are AI Companies Valued Differently Than Non-AI Companies?

Tom Tunguz

The Theory AI Index of publicly traded companies continue to outperform more classical software companies since we published the index earlier this year. Across the five most important metrics, AI companies’ valuation correlates isn’t that much different than non-AI companies.

AI 211
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The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data and AI

Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)

We’ll explore how these applications are transforming with the introduction of Gen AI, and discuss the anticipated use cases for 2024 and beyond. Key objectives: Introduction to the structures and ownership dynamics of data platform, analytics and AI teams, along with an exploration of various roles in the data ecosystem.

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The Four Barriers to AI Adoption

Tom Tunguz

AI adoption is slower than expected in many spaces. Most leaders wants to inject AI into their business to develop a competitive advantage. The pace of innovation, the early understanding of AI internals, & the non-determinism compound to create doubt. But no such standard exists for AI - yet.

AI 212
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AI Pricing Strategies for SaaS Companies Offering Copilots

Tom Tunguz

Pricing an AI product will be a defining question in software for the next few years. AI products offer productivity gains. We can observe the market trends today across some of the larger SaaS companies who offer AI pricing. Company Product Base Price AI Price Ratio Github Github Enterprise 21 10 0.67

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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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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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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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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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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.

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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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10 Keys to AI Success in 2021

Capitalizing on the incredible potential of AI means having a coherent AI strategy that you can operationalize within your existing processes. Download this eBook to learn about: Achieving ROI with AI and delivering valuable results with urgency. AI storytelling in communicating value to your organization.