Artificial Intelligence Related Topics 
Tom Tunguz
JULY 16, 2025
That little black box in the middle is machine learning code. I remember reading Google’s 2015 Hidden Technical Debt in ML paper & thinking how little of a machine learning application was actual machine learning. With the dawn of AI, it seemed large language models would subsume these boxes.
SaaStr
JUNE 20, 2025
They launched their Artificial Intelligence Platform (AIP) in mid-2023 and bet the entire company on AI transformation. CEO Alex Karp’s insight: “Our early insights surrounding the commoditization of large language models have evolved from theory to fact.” Palantir was ready.
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SaaStr
JUNE 13, 2025
” I saw a term sheet the other day where a leading VC firm reserved $1m of the round … for hiring a “VP of AI” Leadership teams scrambling to post job descriptions for “Head of Artificial Intelligence.” ” Recruiters cold-calling anyone with “machine learning” on their LinkedIn.
SaaStr
OCTOBER 23, 2024
Artificial Intelligence Platform (AIP) is a Year Old But Fueling $159m in Q2 Bookings Alone To some Cloud and SaaS leaders, AI is a table-stakes addition. Growth Has Re-Accelerated Fueled by commercial and government contracts, and by AI-related demand in both, Palantir is seeing growth re-accelerate from 2023. Pretty impressive. #2.
Advertiser: Data Robot
By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Read the whitepaper, How Banks Are Winning with AI and Automated Machine Learning, to find out more about how banks are tackling their biggest data science challenges.
SaaStr
FEBRUARY 8, 2025
Why LLM Wrappers Failed – And What Works Instead The first wave of AI products were mostly “LLM wrappers” – simple chatbots built on top of models like GPT. Here’s what Brandon Fu (CEO, Paragon) and Ethan Lee (Director of Product) shared at SaaStr AI Day about what’s actually working: 1.
SaaStr
JANUARY 28, 2025
May Habib from Writer heads a full-stack generative AI company that combines large language models with microservices to build custom AI applications, agents, and workflows for enterprise clients. Writer is at the forefront of creating flexible, tailored AI solutions that integrate seamlessly into existing business processes.
Advertiser: Data Robot
By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Read the white paper, How Banks Are Winning with AI and Automated Machine Learning, to find out more about how banks are tackling their biggest data science challenges.
Advertiser: Data Robot
But in order to reap the rewards of Intelligent Process Automation, organizations must first educate themselves and prepare for the adoption of IPA. In Data Robot's new ebook, Intelligent Process Automation: Boosting Bots with AI and Machine Learning, we cover important issues related to IPA, including: What is RPA?
Advertiser: Data Robot
Today’s economy is under pressure from inflation, rising interest rates, and disruptions in the global supply chain. As a result, many organizations are seeking new ways to overcome challenges — to be agile and rapidly respond to constant change. We do not know what the future holds.
Advertiser: Data Robot
Many organizations are dipping their toes into machine learning and artificial intelligence (AI). Download this comprehensive guide to learn: What is MLOps? How can MLOps tools deliver trusted, scalable, and secure infrastructure for machine learning projects? Why do AI-driven organizations need it?
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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 March 2020, the world was hit with an unprecedented crisis when the COVID-19 pandemic struck. As the disease tragically took more and more lives, policymakers were confronted with widely divergent predictions of how many more lives might be lost and the best ways to protect people.
Advertiser: Data Robot
With the number of available data science roles increasing by a staggering 650% since 2012, organizations are clearly looking for professionals who have the right combination of computer science, modeling, mathematics, and business skills. Fostering collaboration between DevOps and machine learning operations (MLOps) teams.
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.
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