TechEmpower SaaS
MARCH 4, 2024
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.
Tom Tunguz
MAY 12, 2024
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.
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TechEmpower SaaS
OCTOBER 9, 2023
Artificial Intelligence (AI), and particularly Large Language Models (LLMs), have significantly transformed the search engine as we’ve known it. This presents businesses with an opportunity to enhance their search functionalities for both internal and external users.
Tom Tunguz
MAY 16, 2024
Ramp published its quarterly spending trends & revealed how businesses are spending on AI. There are many great data points that underscore the growth in AI but there are important nuances in the patterns. First, AI growth rates across the most popular vendors have fallen 78% annually. NDR is almost equal.
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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success?
Tom Tunguz
APRIL 25, 2023
But the story in this quarter’s reports is AI. Another example of AI favoring incumbents : Epic, a large health records company worth about $10-12b with about 30% market share in the US, has implemented some OpenAI features. All of that usage is creating a massive business. 1 percentage point of growth on a $28.5b
TechEmpower SaaS
NOVEMBER 13, 2023
Now that AI is here to help, every textbox is an opportunity to help a customer through the challenge. TechEmpower can help In the era of LLMs and Generative AI, empty textboxes are a product mistake. Note how this version incorporates Mark’s feedback and descriptive keywords. In the pre-LLM era, an empty textbox was a tough challenge.
Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage
Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. Save your seat and register today! 📆 June 4th 2024 at 11:00am PDT, 2:00pm EDT, 7:00pm BST
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In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your application’s analytics capabilities? Infusing advanced AI features into reports and analytics can set you apart from the competition.
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While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.
Advertiser: Data Robot
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. Their problems and needs don’t change, but the technology and solutions do.
Advertiser: Data Robot
AI is becoming ubiquitous. More and more critical decisions are automated through machine learning models, determining the future of a business or making life-altering decisions for real people. The number of critical touch points is growing exponentially with the adoption of AI. Brought to you by Data Robot.
Advertiser: Data Robot
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.
Advertiser: Data Robot
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.
Advertiser: Data Robot
Trust is an essential part of doing business. For businesses that are AI-driven, this trust hinges on the confidence that their AI solution can help them make their most critical decisions. We also look closely at other areas related to trust, including: AI performance, including accuracy, speed, and stability.
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