Best Ai

Data and Analytics

Tools

5-Out

Extraction, interpretation and prediction of data related to various fields including finance

AI Data Sidekick

Use AI to write SQL code, read documentation, etc.

Appen

A platform for improving AI models through human-machine collaboration. Optimize your AI projects with high-quality data, expertise and self-adaptive solutions

Artificial Analysis

An independent platform for in-depth analysis of AI API models and providers. Compare performance, quality and price among numerous models.

Atlassian Rovo

This AI assistant finds key info in your apps (data), generates insights and automates your tasks with its AI agents. Make better, faster decisions.

Browse AI

Train (without code) this AI to extract your data and help you exploit it

Censius

Analyzes and monitors your data under AI, detects and corrects ML issues like Skew.

ChartPixel

Visualize your data with an AI tool that automatically transforms your data into visually appealing graphs

Chatnode

Train ChatGPT with your own data and easily build a conversational ChatBot. Works with text, URLs or PDF files

Codesquire AI

Assistant that helps and suggests code for engineers, analysts and data scientists

Continual AI

AI operator who takes care of your data.

Databorg AI

Easily integrate a bot that can answer your visitors’ questions through an API

Databricks

Easily develop AI applications with your data. Enable everyone to obtain accurate information while reducing your costs.

DataCamp

Online learning portal to develop your data science and AI skills. Take interactive courses in R, Python and SQL, and earn industry-recognized certifications

Daydream AI

An AI-driven analysis and reporting tool specially designed for businesses and teams. Ideal for collaborative data management

Flowpoint

AI that optimizes your website’s conversion rate and improves ROI through data-driven decisions

FormX.ai

An AI-based data extraction tool that digitizes physical documents (receipts, ID cards, etc.) into structured data

Gamma AI

An AI-generated cloud that enables improved collaboration and data detection

GPTBots.ai

An AI tool that allows developers to seamlessly integrate an LLM into their data and create an intelligent ChatBot

Hebbia AI

A secure AI platform for businesses that adapts to your data and workflows. Rapidly improve your profitability (+1000 use cases)

Kadoa

An AI that analyzes your website and extracts data easily

Kaggle

A community platform focused on artificial intelligence. This site provides ML learning courses, models, code, a forum, etc.

MAIHEM

Automate your quality tests with intelligent agents. Simulate realistic interactions, evaluate performance, exploit data more effectively etc.

Matrices AI

A team of intelligent agents to analyze and extract all the data you need. Works via prompt

MixPeek

Add an AI layer to your data to improve your engagement rate

Moonbeam Exchange

An AI that analyzes over 100 data platforms at the same time

Mosaic AI by Databricks

The leading platform to integrate your company’s data into IA technologies. Easily create, deploy and monitor predictive models and LLMs

Nanonets

An AI that can capture data from images, emails, texts or documents instantly.

Nuclia

An AI engine that indexes your internal and external data.

Obviously AI

Create AI predictive models without coding. Deploy your project directly in production and easily predict potential churn, sales or fraud

OSS Insight

Explore the billions of data available worldwide

Otto AI

Optimize your workflows with AI that automates data search, analysis and extraction. Create visual workflows without coding

Outerbase

Navigate your databases with AI. Easily view, modify and query your data. Security and confidentiality guaranteed

Palantir

A leading software platform for massive data analysis and artificial intelligence. Offers powerful solutions for data integration, predictive analytics and AI-assisted decision-making in various sectors

Pathway

Efficiently converts real-time data streams for operational analysis and AI insight. Easy integration with ML libraries and LLMs

Pinecone

A serverless vector database for creating high-performance AI applications. Quickly index and search billions of vectors to enhance your generative AI models

Predict AI

An AI that uses data to predict your customers’ intentions with 95% accuracy.

Prolific

A platform to quickly find reliable participants for your AI studies and tasks. Access over 200,000 verified participants to obtain high-quality data for your research

Questflow

A collaborative workspace for team automation: emails, calendars, social networks, data, etc

Rasgo

Communicate easily with data, visualize it intelligently and extract insights with AI expert in data analysis (GPT-4)

Relyance AI

Get complete visibility of your company’s data processing and ensure compliance with global privacy and security regulations

Retune

Monetize your data from your projects with GPT-3 (API available)

Reworkd AI

Automate data extraction from websites without code. AI generates extractors, performs scraping and automatically repairs errors

Rose AI

A cloud data driven by a multi-tasking AI that analyzes and gives advice

Seek

Ask this AI about your data and it answers you instantly

Shaped AI

Boost customer engagement with real-time AI recommendations. Connect even raw data directly via easy-to-integrate APIs

Sieve

Create complex AI applications by easily combining multiple models. Visualize, debug and deploy on a large scale with a flexible infrastructure

Simplescraper

An AI tool for easily extracting data from a website. Very useful when creating GPTS to obtain data in JSON or CSV format

Stack AI

Create AI applications easily via a full no-code platform. Develop chatbots, process documents, automate or analyze your data. Also includes secure APIs

Syncly

Centralize and analyze all your customer feedback. AI detects negative signals and prioritizes actions

Online Sports Nutrition and Natural Dietetics.

Chances are there wasn't collaboration, communication, and checkpoints, there wasn't a process agreed upon or specified with the granularity required. It's content strategy gone awry right from the start. Forswearing the use of Lorem Ipsum wouldn't have helped, won't help now. It's like saying you're a bad designer, use less bold text, don't use italics in every other paragraph. True enough, but that's not all that it takes to get things back on track.

The villagers are out there with a vengeance to get that Frankenstein

You made all the required mock ups for commissioned layout, got all the approvals, built a tested code base or had them built, you decided on a content management system, got a license for it or adapted:

  • The toppings you may chose for that TV dinner pizza slice when you forgot to shop for foods, the paint you may slap on your face to impress the new boss is your business.
  • But what about your daily bread? Design comps, layouts, wireframes—will your clients accept that you go about things the facile way?
  • Authorities in our business will tell in no uncertain terms that Lorem Ipsum is that huge, huge no no to forswear forever.
  • Not so fast, I'd say, there are some redeeming factors in favor of greeking text, as its use is merely the symptom of a worse problem to take into consideration.
  • Websites in professional use templating systems.
  • Commercial publishing platforms and content management systems ensure that you can show different text, different data using the same template.
  • When it's about controlling hundreds of articles, product pages for web shops, or user profiles in social networks, all of them potentially with different sizes, formats, rules for differing elements things can break, designs agreed upon can have unintended consequences and look much different than expected.

This is quite a problem to solve, but just doing without greeking text won't fix it. Using test items of real content and data in designs will help, but there's no guarantee that every oddity will be found and corrected. Do you want to be sure? Then a prototype or beta site with real content published from the real CMS is needed—but you’re not going that far until you go through an initial design cycle.