Sales Hacker

OCTOBER 6, 2023

Currently, there are 3 primary options available to implement AI in a company: Cloud or LLM providers: Large cloud providers, like AWS, Google, or Microsoft, all provide services to implement generative AI in a secure way in the cloud.

Artificial Intelligence 93

Artificial Intelligence AI Generative AI Blockchain 93

IT World

DECEMBER 5, 2019

Amazon Web Services has expanded the capabilities of its Amazon SageMaker machine learning toolkit to address a number of challenges that enterprises confront when trying to operationalize machine learning, from model organization, training, and optimization to monitoring the performance of models in production.

Machine Learning 40

Machine Learning Artificial Intelligence AWS Enterprise 40

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) 209

GCP(Google Cloud Platform) Artificial Intelligence Enterprise readiness Azure 209

SaaStr

MARCH 1, 2024

The number of patents filed in 2021 in Artificial Intelligence was 30x the number published six years earlier. We’re on the cusp of a golden age in AI, and the lesson learned from Cloud was that Cloud sped up the pace of development by a lot. Thinking back through Cloud and mobile, what can you learn from them?

Generative AI 229

Generative AI Outsourcing Services AI Software Review 229

Andreessen Horowitz

APRIL 30, 2024

And so, what happened is I was working on this program on artificial intelligence in medicine that had originated at Stanford under Ted Shortliffe, who was extremely well known, even back then, for building one of the first expert systems to diagnose blood-bacterial infections. Like, this is not anything like artificial intelligence.

Artificial Intelligence 81

Artificial Intelligence AI Banking AWS 81

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 183

Cloud Artificial Intelligence AI GCP(Google Cloud Platform) 183

Tom Tunguz

JULY 8, 2020

This modern architecture for data analysis, operational metrics, and machine learning enables companies to process data in new ways. The conference features talks from practitioners and open-source leaders from the ecosystem from Netflix, Microsoft, Expedia, AWS, and Preset.

Data Analysis 242

Data Analysis Cloud Data Scaling 242

Tom Tunguz

JANUARY 14, 2021

Cloud Data Lakes are the future of large scale data analysis , and the more than 5000 registrants to the first conference substantiate this massive wave. Mai-Lan Tomsen Bukovec, Global Vice President for AWS Storage will deliver one of the keynotes. This time, the conference will build on the foundation from last year’s event.

VP of Engineering 191

VP of Engineering Cloud Data AWS 191

IT World

DECEMBER 10, 2019

At its AWS re:Invent 2019 event, the company acknowledged that computing power can be more useful when it’s closer to home, announcing three new services for reducing latency, including a mini-cloud you can house in your own data center. Get the latest cloud computing insights by signing up for our newsletter. ]

AWS 40

AWS Cloud Machine Learning Artificial Intelligence 40

Crafty CTO

JULY 7, 2023

This was in the context of a link to someone training / fine-tuning an LLM for the full corpus of AWS documentation. Many pointed out that ChatGPT probably does it better; lots of whining about “but ChatGPT gives me wrong answers, boo hoo hoo,” and then this gem.

ChatGPT 40

ChatGPT Artificial Intelligence AWS AI 40

Sales Hacker

DECEMBER 3, 2019

Official Unintelligence – While artificial intelligence has huge potential for improving sales planning, forecasting accuracy, and new rep ramp time, we’re not there yet. At the US Open, IBM promoted to use of artificial intelligence to find match highlights based on audience noise levels, but that’s only one data point.

Sales Enablement 86

Sales Enablement Artificial Intelligence Branding Sales Hiring 86

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.

AI 96

AI Enterprise Artificial Intelligence Generative AI 96

Intercom, Inc.

DECEMBER 31, 2019

The wave of SaaS companies that built themselves on the likes of AWS and Azure have reinforced the pre-eminence of cloud computing. What was perhaps less predictable was the ensuing prevalence of the subscription-based business model. The decade ahead.

Payment Solutions 259

Payment Solutions Payment Methods Software SaaS Payments 259

ReSci

JANUARY 23, 2018

Author: Avi Sanadhya, ReSci Platform Engineering Team At Retention Science we deliver personalized marketing campaigns powered by machine learning to drive a deeper level of customer engagement. The post Serverless with AWS Lambda: Reducing metrics reporting lag from hours to seconds at ReSci appeared first on ReSci.

AWS 40

AWS Metrics Machine Learning Artificial Intelligence 40

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. Tools like Terraform and AWS CloudFormation enable infrastructure to be defined in code, promoting consistency, repeatability, and scalability across environments.

multi-cloud Kubernetes 52

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

Baremetrics

JANUARY 25, 2022

Examples of cost management software include in-platform cost optimization modules like GCP Billing and AWS Cost Explorer. Financial Modeling Tools As well as dedicated cost management software, another key component of the FinOps toolkit is a powerful financial modeling tool like Flightpath Finance.

Payment Services 97

Payment Services SaaS Payments Payment Solutions Payments 97

Tom Tunguz

DECEMBER 18, 2019

Look no further than AWS Re:Invent where Amazon announced an entire suite of Machine Learning tools that compete with nearly every player in the ecosystem in every level of the stack. The Monoclouds continue to challenge the open source ecosystem by offering hosted services of popular projects.

Blockchain 154

Blockchain AWS Machine Learning Artificial Intelligence 154

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

Audacix

JUNE 9, 2023

AWS WAF is a great option for software and DevOps teams that are already using AWS services or looking for a scalable and flexible WAF solution. AWS WAF is a great option for software and DevOps teams that are already using AWS services or looking for a scalable and flexible WAF solution.

Software Review 66

Software Review Software DevOps as a Service AWS 66

Tom Tunguz

SEPTEMBER 11, 2014

AWS has decreased prices for EC2, elastic compute cloud, and S3, simple storage service, 42 times in eight years. The first manifestation of large scale, near-free compute I’ve seen is in machine learning. When I worked at Google in 2005, we would test individual machine learning models one or two at a time.

Innovation 100

Innovation Machine Learning Artificial Intelligence Scale 100

Chart Mogul

DECEMBER 6, 2023

Using LLMs to enhance these solutions will no longer be seen as innovative but will become the standard.” Just like machine learning before it disappeared in the background, AI will soon be so ubiquitous that it’s no longer a differentiator. In a better way too.”

AI Search 52

AI Search SaaS Generative AI ChatGPT 52

SaaStr

OCTOBER 31, 2019

It was around that time about 12 years ago that Jeff Bezos launched AWS, and some of you may remember that, when he did this, Wall Street analysts were looking at him and saying, “Why would you take what’s already a very unprofitable business and drive it further into the red by investing in this AWS initiative?”

Cloud 100

Cloud Scale AWS Machine Learning 100

Tom Tunguz

DECEMBER 4, 2016

Microsoft’s PowerBI and Amazon’s Quicksight are forays into business intelligence. AWS listed business productivity category on their product page which includes collaboration tool to compete with Box and a hosted email product to compete with Gmail and Outlook. Speech recognition model three times faster than typing.

Startup 100

Startup Machine Learning Artificial Intelligence AWS 100

Intercom, Inc.

FEBRUARY 13, 2020

And if you think about AWS, if you think about the rise of cloud data warehousing, that is a big technology change and a big game changer for a lot of companies. Suddenly, Alex had gained access to a quantitative look at who might poach his leads, which in turn now allows him to prioritize his competitive intelligence and messaging.

Scale 181

Scale Marketing AWS Machine Learning 181

Intercom, Inc.

JANUARY 24, 2019

Machine learning can get the right message or recommendation out in a responsive way – not just from the customer’s next best action, but from the sales perspective, too. Just from a platform perspective, we can look at it: everybody knows from the AWS perspective how inexpensive it is to go to market.

Scale 151

Scale Machine Learning Artificial Intelligence AI 151

Panintelligence

FEBRUARY 7, 2024

You must constantly be innovating, and companies will be spending more and more on this for an awful long time." It's a culture of constant learning and upgrading. I think that humans like to trust other humans, and therefore we're putting a lot of emphasis on machine learning to help the customer to help themselves”.

Payments 52

Payments Data Payment Services Payment Solutions 52

SaaStr

MAY 14, 2019

Mikkel : Well again, the public cloud, AWS, was the dominant leader. We are seeing platform shifts from how they traditionally run their infrastructure and services and business to seeing them run that stuff on AWS. Obviously that’s not really so relevant today. What kind of role do you think the rise of the public has paid?

Cloud 175

Cloud Sales Recruiting Scale AWS 175

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

Intercom, Inc.

OCTOBER 14, 2019

Products like Amazon Web Services (AWS) and the rise of engineering talent globally have reduced the barrier of entry for software startups in recent years. Buyers aren’t locked into long-term purchases the same way they were with on-premises solutions. There’s more competition and more choices for software buyers.

Software Review 162

Software Review AWS Social Media Machine Learning 162

Sales Hacker

OCTOBER 7, 2019

And so just really inspiring to hear somebody that’s running such a massive platform that has marketing responsibility for Google Cloud Platform competing with AWS and Azure, at the same time that she’s running, you know, all of the apps that I use everyday—Gmail, Calendar, Sheets, Docs, so really, really inspiring message.

Cloud 44

Cloud Artificial Intelligence Scale GCP(Google Cloud Platform) 44

Sales Hacker

MAY 19, 2020

Leveraging the next generation of artificial intelligence, the platform allows sales reps to deliver consistent, relevant, and responsible communication for each prospect every time, enabling personalization at scale that was previously impossible. What we observed is that an awful lot of top sellers already do this stuff.

Scale 93

Scale Payment Methods Payment Services Sales Hiring 93

Intercom, Inc.

FEBRUARY 27, 2020

We sat down for a chat with our own Fergal Reid, Principal Machine Learning Engineer, to learn why Answer Bot had to evolve past simply answering questions to focus on solving problems at scale. Fergal Reid: I lead the Machine Learning team at Intercom. I joined Intercom about two and a half years ago.

Machine Learning 23

Machine Learning Artificial Intelligence Scale User Experience 23

OpenView Labs

AUGUST 8, 2019

Honestly, I’m a machine learning enthusiast in my spare time, and I have no inkling of what models, etc. “Lead scoring” is not the answer to your problems. Google “Lead Scoring Tools” and you’ll get ~60M results, and tons of ads that promise you the world in terms of predictive lead scoring and AI.

Scale 40

Scale AI Search AWS Acquisition 40

OpenView Labs

JANUARY 3, 2020

Causal modeling and prediction systems are improving rapidly, driven by machine learning and related technologies. This is already the norm for infrastructure software products and tools like Atlassian, GitHub, GitLab, AWS and so on. The other direction will be performance-based, or outcome-based, pricing.

Pricing 54

Pricing Scale Underperforming Technical Team B2B 54

SmartKarrot

JANUARY 18, 2022

This company uses IoT and machine learning to help businesses run more smoothly. The company offers a data analytics platform based on Amazon Web Services (AWS), Google Clouds, and Microsoft Azure. This company’s objective is to develop smart technology that provides facilities for all employees that engage in any firm.

SaaS Payments 11

SaaS Payments Payment Solutions Payment Methods Payments 11

SaaStr

MAY 21, 2019

78 times in the AWS … ADABAS was referenced in the Amazon press release and earnings announcement. Byron : Now, over the weekend, as some of us were watching kind of a snooze fest football game, maybe drinking a beer which apparently has corn syrup in it, who knew? Twice for retail.

Cloud 163

Cloud Scale Finance Retention 163

SaaStr

AUGUST 20, 2019

Sameer Dhokalia: It turns out if you do ask those two basic questions of 100 people in your business, you will learn an awful lot about what needs to be focused on. You needed to understand how do we keep the bad actors out and use machine learning to prevent spammers and phishers from taking advantage of our system.

Scale 128

Scale Acquisition Scaling Sales Hiring 128