Amity

SEPTEMBER 25, 2017

Customer Operations means everything from Customer Success to Customer Support, Engineering Support, and Professional Services. I watched Account Management transform and evolve over the past few years, especially with the subscription-based economy and the growth of SaaS. What metrics do you watch closely?

B2C 0

B2C SaaS Accountability B2B 0

AWS Machine Learning

SEPTEMBER 6, 2022

Behind the scenes, Rekognition Custom Labels automatically loads and inspects the training data, selects the right ML algorithms, trains a model, and provides model performance metrics. You can then use your custom model via the Rekognition Custom Labels API and integrate it into your applications. About the authors.

Engineering 74

Engineering APIs Healthcare SaaS 74

Amity

SEPTEMBER 25, 2017

Customer Operations means everything from Customer Success to Customer Support, Engineering Support, and Professional Services. I watched Account Management transform and evolve over the past few years, especially with the subscription-based economy and the growth of SaaS. What metrics do you watch closely?

B2C 60

B2C SaaS Accountability B2B 60

AWS Machine Learning

AUGUST 14, 2023

With a big focus on state-of-the art retrieval methods and solid evaluation metrics, it provides you with everything you need to ship a reliable, trustworthy application. With the vector database capabilities of OpenSearch Service, you can implement semantic search, RAG with LLMs, recommendation engines, and search rich media.

Enterprise 69

Enterprise Scripts Best practices Analytics 69

AWS Machine Learning

FEBRUARY 1, 2024

There are unique considerations when engineering generative AI workloads through a resilience lens. If you’re performing prompt engineering, you should persist your prompts to a reliable data store. There are three general types of vector databases: Dedicated SaaS options like Pinecone.

Best practices 110

Best practices Engineering SaaS APIs 110

AWS Machine Learning

NOVEMBER 22, 2023

Hear best practices for using unstructured (video, image, PDF), semi-structured (Parquet), and table-formatted (Iceberg) data for training, fine-tuning, checkpointing, and prompt engineering. Additionally, SaaS providers need scalable and cost-effective ways to serve hundreds of models to their customers. Reserve your seat now!

Engineering 108

Engineering Best practices APIs Government 108

SmartKarrot

JULY 8, 2020

One of the most demanding aspects of business is to be able to use your data and acquire intelligent insights that drive the customer success engine. Be it a SaaS or an Enterprise, Pendo understands your company-specific needs and allows you to achieve all business milestones easily. Pendo Analytics . Source: Pendo.

Analytics 10

Analytics SaaS APIs Advertising 10

ChurnZero

JANUARY 3, 2020

Set ambitious metrics goals. Our detailed API Documentation , which helps customers build advanced implementations using their subscription data. Set ambitious metrics-driven goals. That’s why we picked First Reply Time as our guiding metric that served as a measure of our performance. Let’s review each in more detail.

SaaS 64

SaaS Metrics Engineering Feedback 64

SmartKarrot

JANUARY 18, 2022

SaaS (Software as a service) has become a buzzword in recent years. A SaaS company is a service provider that hosts applications and makes them available to customers over the internet. The SaaS company is responsible for maintaining databases and servers and making sure that users can access the applications from almost all devices.

SaaS 11

SaaS Finance CRM Analytics 11

AWS Machine Learning

JANUARY 20, 2023

CCC is a leading software-as-a-service (SaaS) platform for the multi-trillion-dollar property and casualty insurance economy powering operations for insurers, repairers, automakers, part suppliers, lenders, and more. Step-by-step solution Step 1 A client makes a request to the AWS API Gateway endpoint.

APIs 64

APIs Engineering Telecommunications Construction 64

CustomerSuccessBox

JULY 29, 2020

CS teams should maintain consistency with the metrics (like retention, upsell, NPS) but the targets should be discussed to make them achievable in these times. But the metric that is prioritized the most shows the focus of the organization and what different teams in the company should prioritize.

Upselling 52

Upselling Metrics SaaS APIs 52

SmartKarrot

JULY 8, 2020

Personalised and unique product experience has become the SaaS selling point. It was at a time when SaaS companies were spending considerable time pouring over features and pricing of Customer Success tools that Aptrinsic, a product-led growth solution with analytics prowess and in-product engagements hit the market.

SaaS 10

SaaS Analytics APIs Enterprise 10

SmartKarrot

APRIL 14, 2022

Some AIOps platforms also offer APIs and plugins to connect to other systems. This cloud-driven data management and monitoring platform cater to IT teams, developers, and security engineers. Its AI causation engine Davis offers insights on the underlying infrastructure, application performance, and also on user experience.

SaaS 10

SaaS Enterprise Analytics Engineering 10

AWS Machine Learning

FEBRUARY 19, 2024

With this architecture, a software as a service (SaaS) business can break the linearly increasing cost of hosting multiple models and achieve reuse of infrastructure consistent with the multi-tenancy model applied elsewhere in the application stack. This instructs DJLServing to use the Python engine.

APIs 92

APIs Engineering Scripts Metrics 92

AWS Machine Learning

MARCH 19, 2024

Furthermore, the use of prompt engineering can notably enhance their performance. With the batch inference API, you can use Amazon Bedrock to run inference with foundation models in batches and get responses more efficiently. The service is in preview as of this writing and only available through the API. split("/")[-1]}.out'

APIs 101

APIs Benchmark SaaS Engineering 101

AWS Machine Learning

NOVEMBER 30, 2023

As democratization of foundation models (FMs) becomes more prevalent and demand for AI-augmented services increases, software as a service (SaaS) providers are looking to use machine learning (ML) platforms that support multiple tenants—for data scientists internal to their organization and external customers.

Chatbots 80

Chatbots SaaS Engineering APIs 80

AWS Machine Learning

JANUARY 9, 2023

Strict service level agreements (SLAs) need to be met, and a typical request may require multiple steps such as preprocessing, data transformation, feature engineering, model selection logic, model aggregation, and postprocessing. Deploying ML models at scale with optimized cost and compute efficiencies can be a daunting and cumbersome task.

Metrics 74

Metrics Best practices Engineering Management 74