Best Ai

Data & Analytics

Tools

Showing 1–12 of 56 results

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

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.