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
FEBRUARY 4, 2024
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.
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SaaStr
APRIL 9, 2024
At SaaStr’s AI Day, George Kreitler, Global IBM Embeddable AI Sales Leader, talks about the paradox of AI, three equations that relate to the world productivity and AI, a little math to help guide the next decade, top use cases, and the importance of responsible AI. Why does this matter in the world of AI?
Tom Tunguz
MARCH 28, 2024
AI will transform software sales. Most of the discourse so far has focused on how AI upends the sellers’ worldview. When researching software, operational buyers & procurement teams alike will use AI to research different offerings. AIO, (AI-optimization), will become necessary to ensure the results are accurate.
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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
OCTOBER 23, 2023
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.
SaaStr
MARCH 27, 2024
Where SaaS Meets AI LIVE TODAY! SaaStr AI Day is starting soon and will be live streaming today! Use the links below at each session’s designated time to tune-in live and join the Zoom session room. Or you can also watch the livestreams on the SaaStr YouTube Channel. Speaker: Brian Thomas, CPO @ Customer.io
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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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Organizations look to embedded analytics to provide greater self-service for users, introduce AI capabilities, offer better insight into data, and provide customizable dashboards that present data in a visually pleasing, easy-to-access format.
Advertiser: Data Robot
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.
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. How AI modernizes demand forecasting, supply chain, and predictive maintenance.
Advertiser: Data Robot
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.
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. 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.
Advertiser: Data Robot
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?
Advertiser: Data Robot
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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