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
AUGUST 15, 2024
We’ve been tracking the performance of publicly traded AI companies since the beginning of the year. Publicly traded companies with AI products or strategies trade at about twice the forward multiple of non-AI peers. 1 Within the private markets, the same is true within the Series A. Not this time.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Tom Tunguz
SEPTEMBER 30, 2024
Morgan Stanley surveyed a group of CIOS to understand the sources of AI budget. If hyperscalers deploy $100b in capex on AI this year & legions of software vendors hawk AI solutions, the money to justify it must come from somewhere. Net new budget boots the AI industry if the productivity gains are defensible.
Tom Tunguz
SEPTEMBER 29, 2024
The AI even references images in the post. The Ghost in the Machine : Invisible Ads in Generative Search In this episode, the AI injects a related concept that I don’t mention in the post : native ads. Interwoven with Initia : There’s a good dialogue between the AI. Your browser does not support the audio element.
Speaker: Michael Mansard and Katherine Shealy
Generative AI is no longer just an exciting technological advancement––it’s a seismic shift in the SaaS landscape. Companies today are grappling with how to not only integrate AI into their products but how to do so in a way that makes financial sense.
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.
Tom Tunguz
JULY 24, 2024
Today, the battle is for AI gravity. AI requires orders of magnitude more compute than other workloads, so there’s much more money & profit to be made serving customers running them. Facebook and Google both announced very similar strategies of overinvesting in AI data centers. History will rhyme with AI.
Advertisement
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?
Advertisement
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.
Advertisement
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
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.
Speaker: Data Robot
Enterprise AI maturity has evolved dramatically over the past 5 years. Most enterprises have now experienced their first successes with predictive AI, but the pace and scale of impact have too often been underwhelming. Now generative AI has emerged and captivated the minds and imaginations of leaders and innovators everywhere.
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
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.
Expert insights. Personalized for you.
443 
Let's personalize your content