Sales Hacker

MARCH 25, 2025

Ray Smith: Yeah, I think it’s two years ago, it was definitely termed the moonshot project because the whole thesis was the future of AI is not going to be just this chatty interface or LLM that we’re going to interact with. Hey, this is now an agent because I sprinkle in some LLM uses or scenarios around it.

AI Search 69

AI Search AI Scale Software 69

Tom Tunguz

JANUARY 23, 2023

We saw moderated consumption growth in Azure and lower-than-expected growth [elsewhere]. Segment Expected Growth Productivity 12% Office Commercial 6% Office On-Premise -25% LinkedIn 5% Dynamics 13% Intelligent Cloud 18% Azure 26% Server -3% Services -3% 2. At some point, the optimizations will end.

Azure 256

Azure Underperforming Technical Team Machine Learning Artificial Intelligence 256

Tom Tunguz

SEPTEMBER 26, 2022

Look no further than the massive companies pushing the public & the private market forward: Snowflake, Databricks, Amazon, Azure, Google Cloud. 2020 is the decade of data. It’s quite possible that data products have created more market cap than any other subsegment of SaaS in the last five years.

Data 279

Data Azure Machine Learning Artificial Intelligence 279

Tom Tunguz

FEBRUARY 1, 2024

Calendar Quarter Azure OpenAI Orgs, k CoPilot Users, m Power Platform Orgs, k 1/1/24 53 1.3 Small-language models are coming. “We have also built the world’s most popular SLMs, which offer performance comparable to larger models but are small enough to run on a laptop or mobile device.

AI 212

AI Azure Artificial Intelligence Generative AI 212

SaaStr

JULY 19, 2022

Drift brings Conversational Marketing, Conversational Sales and Conversational Service into a single platform that integrates chat, email and video and powers personalized experiences with artificial intelligence (AI) at all stages of the customer journey.

GCP(Google Cloud Platform) 261

GCP(Google Cloud Platform) Artificial Intelligence Enterprise readiness Azure 261

Tom Tunguz

SEPTEMBER 8, 2024

Large language models are wonderful at ingesting large amounts of content & summarizing. Benn Stancil described LLMs as great averagers of information. 1 I haven’t found a way to goad an LLM to produce the rare result. Maybe I haven’t learned how to prompt an LLM well.

Artificial Intelligence 122

Artificial Intelligence Azure AI Search AI 122

SaaStr

APRIL 26, 2024

Culture Structure You want a culture of checking results and having metrics to evaluate those results from the LLM or a more traditional model. Historically, Cloud platforms like AWS and Azure help with the sporadic needs of renting a GPU for a few hours for training vs. long-term use, which would cost thousands of dollars.

AI Search 287

AI Search AI Scale Artificial Intelligence 287

SaaStr

JULY 2, 2025

Having invested more than $13 billion in OpenAI, Microsoft provides cloud infrastructure to the startup and has incorporated its models into Windows, Teams and other products. Microsoft’s revenue from Azure and other cloud services increased 33% in the fiscal first quarter, with 12 percentage points stemming from AI services.

Technical Review 203

Technical Review AI VP of Engineering Azure 203

Tom Tunguz

FEBRUARY 13, 2023

But it may also suggest that many resellers with large sales teams looking to sustain their transactional businesses are able to drive additional software bookings. Yesterday, Cloudflare announced earnings. I’m adding Cloudflare to the list of tracked companies for this series.

Cloud 242

Cloud Azure Headcount Software Review 242

How To Buy Saas

MAY 27, 2025

The era of large language models (LLMs) is booming. In 2025, foundation models or generative AIs like GPT-4, Claude, Gemini, and open-source LLaMA are reshaping AI research, software development, and SaaS products. 405B) ranks 2nd in math/reasoning, 4th in coding, 1st in instruction-following among open models.

Artificial Intelligence 40

Artificial Intelligence AI Search AI Software Review 40

Clouded Judgement

NOVEMBER 10, 2023

Raw silicon (chips like Nvidia bought in large quantities to build out infra to service upcoming demand). Model providers (OpenAI, Anthropic, etc as companies start building out AI). When they started using large language models from OpenAI, the gross margin on the same product went to -100%!

Cloud 190

Cloud Artificial Intelligence GCP(Google Cloud Platform) AI 190

Andreessen Horowitz

MARCH 21, 2024

One company cited saving ~$6 for each call served by their LLM-powered customer service—for a total of ~90% cost savings—as a reason to increase their investment in genAI eightfold. Here’s the overall breakdown of how orgs are allocating their LLM spend: 3. Cloud is still highly influential in model purchasing decisions.

Generative AI 145

Generative AI Enterprise AI Artificial Intelligence 145

IT World

FEBRUARY 8, 2023

Microsoft has gone all in on artificial intelligence (AI), pouring $10 billion in the OpenAI startup — and that’s just the opening gambit. Microsoft already has released a public preview of its cloud-based Azure OpenAI service which will allow businesses to use AI without having to build infrastructure.

AI 96

AI Artificial Intelligence Azure Cloud 96

Neil Patel

JANUARY 25, 2021

You can use the tool to create and share reports, dashboards, and visualizations, building automated machine learning models. Power BI can integrate with Azure Machine Learning—plus, its ML and AI features are driven by Azure functions built into the Azure Cloud.

Data Analysis 140

Data Analysis Software Data Scale 140

Tom Tunguz

MAY 25, 2017

The Azure team has built products to leverage that strength. A F500 can simply decide to replicate a local SQL Server instance to cloud Azure instance with a few clicks, and they instantly become a Microsoft Cloud customer. From its earliest days, Google has spared no expense to develop the best infrastructure in the world.

Startup 100

Startup Underperforming Technical Team Strategy Azure 100

Andreessen Horowitz

APRIL 5, 2024

While many are venturing into this space, it’s still the inaugural year for most companies deploying LLM-based applications. Securing these models remains a challenge as their deployment becomes more widespread. Looking broadly, this year will unveil how enterprises actually integrate LLMs into their production workloads.

Generative AI 101

Generative AI Enterprise AI Technical Review 101

User Pilot

JULY 14, 2024

As you advance to this position, you can also choose to transition into a data analyst or BI consultant role depending on your interest: Data Scientist : If you’re passionate about statistics, machine learning, and predictive modeling, you may transition into a data scientist role.

Artificial Intelligence 98

Artificial Intelligence Business Payments Sales Recruiting 98

User Pilot

FEBRUARY 6, 2023

H2O Driverless AI uses machine learning workflows to help you make business and product decisions. It has capabilities such as feature engineering, data visualization, and model documentation – all with the help of artificial intelligence.

Artificial Intelligence 98

Artificial Intelligence Data Software Review Machine Learning 98

IT World

AUGUST 8, 2019

Discover the Bossie Award winners: 2018’s best open source software for enterprise for software development, machine learning, cloud computing, and data storage and analytics. ]. Here and there an open source company might struggle to make a buck, but as a community of communities, open source has never been healthier.

Azure 74

Azure Machine Learning Artificial Intelligence Software Development 74

User Pilot

JULY 25, 2024

However, with the rise of cloud storage and machine learning trends, you may need to handle tasks specific to certain tools, such as: Apply machine learning algorithms to develop predictive models, automate data analysis tasks, and gain deeper insights from complex datasets.

Artificial Intelligence 52

Artificial Intelligence Data Azure Machine Learning 52

Andreessen Horowitz

SEPTEMBER 25, 2023

Suddenly, the LLM is spitting out your code or your source. You want to build your own LLM from scratch? They can do it; they’ve done it for large customers. It will be like AWS, GCP, and Azure. Who has the largest LLM? There’s a place for the Cisco routers and for LLM and so on.

Enterprise 110

Enterprise AI Artificial Intelligence Generative AI 110

User Pilot

JULY 21, 2024

However, with the rise of cloud storage and machine learning trends, you may need to handle tasks specific to certain tools, such as: Apply machine learning algorithms to develop predictive models, automate data analysis tasks, and gain deeper insights from complex datasets.

Artificial Intelligence 52

Artificial Intelligence Data Machine Learning Azure 52

User Pilot

JULY 28, 2024

However, with the rise of cloud storage and machine learning trends, you may need to handle tasks specific to certain tools, such as: Apply machine learning algorithms to develop predictive models, automate data analysis tasks, and gain deeper insights from complex datasets. How much does a data analyst make?

Artificial Intelligence 52

Artificial Intelligence Data Machine Learning Data Analysis 52

Neil Patel

SEPTEMBER 28, 2020

But in the best case, the partners will leverage more advanced technologies, such as machine learning, that can help make better sense of the vast amount of data that you will have. You will find that the best insights from your data come after the raw data is analyzed by a machine, and then made sense of by a human.

Technical Review 145

Technical Review Software Review Artificial Intelligence Machine Learning 145

IT World

AUGUST 8, 2019

Discover the Bossie Award winners: 2018’s best open source software for enterprise for software development, machine learning, cloud computing, and data storage and analytics. ]. Here and there an open source company might struggle to make a buck, but as a community of communities, open source has never been healthier.

Azure 49

Azure Machine Learning Artificial Intelligence Software Development 49

User Pilot

JULY 14, 2024

However, with the rise of cloud storage and machine learning trends, you may need to handle tasks specific to certain tools, such as: Apply machine learning algorithms to develop predictive models, automate data analysis tasks, and gain deeper insights from complex datasets. Data analyst salary Source: Glassdoor.

Artificial Intelligence 52

Artificial Intelligence Data Machine Learning Data Analysis 52

User Pilot

JULY 24, 2024

For Advanced Practitioners : “Advanced Data Analytics Using Python” by Sayan Mukhopadhyay : This book delves into advanced data analysis techniques using Python, including machine learning, deep learning, and natural language processing.

Artificial Intelligence 52

Artificial Intelligence Business Sales Recruiting Data Analysis 52

User Pilot

JULY 28, 2024

However, with the rise of cloud storage and machine learning trends, you may need to handle tasks specific to certain tools, such as: Apply machine learning algorithms to develop predictive models, automate data analysis tasks, and gain deeper insights from complex datasets.

Data 52

Data Azure Data Analysis Machine Learning 52

User Pilot

JULY 25, 2024

To excel, leverage resources like books (e.g., “Python for Data Analysis”), webinars (Data Science Salon, BrightTALK), blogs (Data Science Central, KD Nuggets), podcasts (Lex Fridman Podcast, Data Skeptic), and certifications (Senior Data Scientist (SDS), Microsoft Certified: Azure Data Scientist Associate, etc.).

Data 52

Data Technical Review Artificial Intelligence Machine Learning 52

SaaStr

JUNE 26, 2024

You can see the growth on the platform side with Azure, Google, and AWS and how much it’s accelerating in AI. If we’re adding 20%, where is the money going? To some extent, it’s not clear. Maybe endless price increases,” Jason says. A lot of it is moving to versions of AI. How does a startup benefit from this?

CTO Hire 144

CTO Hire AI Venture Capital Sales Hiring 144

User Pilot

JULY 28, 2024

However, with the rise of cloud storage and machine learning trends, you may need to handle tasks specific to certain tools, such as: Apply machine learning algorithms to develop predictive models, automate data analysis tasks, and gain deeper insights from complex datasets. Data analyst salary Source: Glassdoor.

Data 52

Data Artificial Intelligence Machine Learning Data Analysis 52

Stax

APRIL 18, 2024

Furthermore, this ecosystem of partners allows Stax to expand into software solutions, cloud services, and artificial intelligence. Microsoft Azure, Amazon Web Services (AWS), or Salesforce AppExchange). ISV solutions are more cost-effective than developing custom software in-house or purchasing off-the-shelf solutions.

Outsourcing Services 88

Outsourcing Services SaaS Payments Payment Services Payment Methods 88

Valerian Tech

JULY 18, 2023

Serverless platforms, such as AWS Lambda and Azure Functions, automatically scale resources based on demand, providing agility and cost optimization. This involves assessing workloads, selecting the appropriate cloud service provider (CSP), and utilizing tools like AWS Migration Hub or Azure Migrate for a smooth transition.

multi-cloud Kubernetes 52

multi-cloud Kubernetes K8S orchestration (Kubernetes) Cloud CTO Hire 52

SaaSHolic

MARCH 20, 2023

A inteligência artificial no SaaS simboliza a combinação perfeita. Se um trabalha para criar máquinas inteligentes e o outro é especialista em dados, basta um empurrãozinho por parte do machine learning para que esse casamento gere frutos tecnológicos incríveis. E não estamos falando apenas do setor de TI.

Machine Learning 52

Machine Learning Artificial Intelligence Azure SaaS 52

Audacix

JUNE 9, 2023

It uses machine learning and behavioral analytics to detect and block attacks in real-time. It helps some large enterprises maintain a strong cloud security status by identifying and remediating misconfigurations, monitoring user activity, and detecting threats in real-time.

Software Review 66

Software Review Software DevOps as a Service AWS 66

ProfitWell

SEPTEMBER 10, 2020

Running your own server to handle your customer's valuable data requires a huge investment to match the same level of security and reliability that comes baked into services like Amazon AWS and Microsoft Azure cloud. This has always been a bad idea, but in the days of machine learning and massive data, it can kill a business.

SaaS Payments 66

SaaS Payments Trends Merchant Services Payments 66

User Pilot

JULY 21, 2024

This is crucial for building reliable models. Feature Engineering : Data scientists transform raw data into features that are informative for machine learning models. Data analysis and modeling: Customer Segmentation : SaaS companies often have diverse customer bases.

Technical Review 52

Technical Review Data Machine Learning Artificial Intelligence 52