Best Data Management Software for Unremot

Machine learning can provide insightful text analysis that extracts, analyses, and stores text. AutoML allows you to create high-quality custom machine learning models without writing a single line. Natural Language API allows you to apply natural language understanding (NLU). To identify and label fields in a document, such as emails and chats, use entity analysis. Next, perform sentiment analysis to understand customer opinions and find UX and product insights. Natural Language with speech to text API extracts insights form audio. Vision API provides optical character recognition (OCR), which can be used to scan scanned documents. Translation API can understand sentiments in multiple languages. You can use custom entity extraction to identify domain-specific entities in documents. Many of these entities don't appear within standard language models. This allows you to save time and money by not having to do manual analysis. You can create your own machine learning custom models that can classify, extract and detect sentiment.

Airtable allows you to organize your work in your own way. Airtable is an all-in-one collaboration tool that combines the power and flexibility of a relational database with ease-of-use spreadsheets. It syncs data instantly across all platforms and devices. You can choose from a variety of formats to view the tasks at hand: grid, calendars, Kanbans, galleries, and forms.

Weaviate is an open source vector database. It allows you to store vector embeddings and data objects from your favorite ML models, and scale seamlessly into billions upon billions of data objects. You can index billions upon billions of data objects, whether you use the vectorization module or your own vectors. Combining multiple search methods, such as vector search and keyword-based search, can create state-of-the art search experiences. To improve your search results, pipe them through LLM models such as GPT-3 to create next generation search experiences. Weaviate's next generation vector database can be used to power many innovative apps. You can perform a lightning-fast, pure vector similarity search on raw vectors and data objects. Combining keyword-based and vector search techniques will yield state-of the-art results. You can combine any generative model with your data to do Q&A, for example, over your dataset.

You can find mentions of people, places, brands, and events in documents as well as social media. Access additional information about entities easily. You can quickly and easily classify multilingual text into pre-defined taxonomies, or create your own custom classification scheme. Short texts, such as product reviews, can be used to identify whether the opinion expressed is positive, neutral, or negative. Identify key-phrases and concepts that are relevant to the context in articles and social media posts. Compare two texts and calculate their syntactic or semantic similarity. Understanding the difference between two texts on the same subject. Clean text articles can be extracted from blogs, newspapers, and other websites. Get rid of advertising and boilerplate to get the article text and images.

The AI Knowledge Platform. The Pinecone Database, Inference, and Assistant make building high-performance vector search apps easy. Fully managed and developer-friendly, the database is easily scalable without any infrastructure problems. Once you have vector embeddings created, you can search and manage them in Pinecone to power semantic searches, recommenders, or other applications that rely upon relevant information retrieval. Even with billions of items, ultra-low query latency Provide a great user experience. You can add, edit, and delete data via live index updates. Your data is available immediately. For more relevant and quicker results, combine vector search with metadata filters. Our API makes it easy to launch, use, scale, and scale your vector searching service without worrying about infrastructure. It will run smoothly and securely.

Organizations are prone to high costs due to manual document processing. Our deep learning technology automates complex document processes to make back-offices more productive. Use cases for Hypatos document processing AI. Deep learning solutions are available for many document processes. Our pre-trained AI models and powerful machine-learning pipeline software make a rapid impact on back-office efficiency. Back-office operations are impacted by accounts payable processing. Hypatos provides solutions to automate the capturing of invoice data, tax compliance validation, and accounting.

Qdrant is a vector database and similarity engine. It is an API service that allows you to search for the closest high-dimensional vectors. Qdrant allows embeddings and neural network encoders to be transformed into full-fledged apps for matching, searching, recommending, etc. This specification provides the OpenAPI version 3 specification to create a client library for almost any programming language. You can also use a ready-made client for Python, or other programming languages that has additional functionality. For Approximate Nearest Neighbor Search, you can make a custom modification to the HNSW algorithm. Search at a State of the Art speed and use search filters to maximize results. Additional payload can be associated with vectors. Allows you to store payload and filter results based upon payload values.

Protect your sensitive data by identifying, classifying, and classifying it. Nightfall™, which uses machine learning to identify sensitive data such as customer PII across your SaaS, APIs and data infrastructure, allows you to manage and protect it. To monitor your data, integrate with cloud services via APIs in minutes. Machine learning accurately classifies sensitive data and PII, so nothing is missed. Automated workflows can be set up to save time and keep your business safe. Nightfall integrates directly to all your SaaS, APIs and data infrastructure. Nightfall APIs are available for sensitive data protection and classification. You can programmatically access structured results from Nightfall’s deep learning-based detectors, such as API keys and credit card numbers. Just a few lines of code are required to integrate. Nightfall's REST API allows you to easily add data classifications to your applications and workflows.

This machine learning monitoring tool allows you to easily monitor and troubleshoot large model volumes. Data scientists can avoid false alarms and dead ends by using an unrivaled explainability accuracy and unique analyses that aren't available anywhere else. This allows them to quickly and effectively address critical problems. So that your business runs at its best, machine learning models are optimized. TruEra's explainability engine is the result of years of dedicated research and development. It is significantly more accurate that current tools. TruEra's enterprise-class AI explainability tech is unrivalled. The core diagnostic engine is built on six years of research by Carnegie Mellon University. It outperforms all competitors. The platform performs sophisticated sensitivity analyses quickly, allowing data scientists, business users, risk and compliance teams to understand how and why a model makes predictions.

Unstructured data is the future for AI. This future is now possible. Build an ML/AI pipeline to scale all your unstructured data from one place. Graviti allows you to use better data to create better models. Learn about Graviti, the data platform that allows AI developers to manage, query and version control unstructured data. Quality data is no longer an expensive dream. All your metadata, annotations, and predictions can be managed in one place. You can customize filters and see the results of filtering to find the data that meets your needs. Use a Git-like system to manage data versions and collaborate. Role-based access control allows for safe and flexible team collaboration. Graviti's built in marketplace and workflow creator makes it easy to automate your data pipeline. No more grinding, you can quickly scale up to rapid model iterations.

SQL is a domain-specific programming language that allows you to access, manage, and manipulate relational databases and relational management systems.

Enterpret helps companies analyze customer feedback at scale. We solve complex problems in NLP and ml-ops as well as analytics and data visualization. We exist to solve pain for our customers - we constantly learn about their most critical pain points, and then solve them. What we do is determined by our goals. We set ourselves ambitious goals and work hard to achieve them. We use the failures we experience to learn from them and improve. The system of intelligence for customer feedback ensures that you build the right thing first. Joining feedback with user behavior segments will help you leverage the feedback that users have already provided. Save time by creating user interviews and surveys.

We will focus on providing you with the right tools to meet your web scraping needs. You can get raw HTML from any website using a simple API request and make it available to everyone within your company. We handle proxy servers, JavaScript rendering on real browsers, and CAPTCHAs automatically. Get Amazon product data in JSON, CSV or HTML format. Scrape complete product information including reviews, ASIN data and ASIN data for best sellers, new releases and deals. We manage all proxy-related issues: from rotating proxy servers to accessing millions residential and datacenter proxy networks, geotargeting and bypassing rate-limiting sites. Our cloud infrastructure features browser management, resource separation, automatic scaling, and high availability. It also allows you to render the web pages that you want scraped with real browsers.