The International Conference on Machine Learning (ICML) 2022 conference is happening this week -- you can stay tuned to a couple of articles on our side covering the most exciting news and research shared there, including "Make-A-Scene" which we cover on this week's "papers of the week" section. ICML is a big conference in the field and many breakthroughs are published there. We will share the top paper of the conference. Unfortunately, we do not have anyone from the team there, in person. Let us know if you'd like us to send someone from the Toward's AI team at these events to publish a recap and a "how it's like" kind of article to share our in-person experience with those of you that might be interested in going to such events.

Originally published on Towards AI the World's Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards AI, we help scale AI and technology startups. Let us help you unleash your technology to the masses. This week, our attention is still turned to Stable Diffusion.

The International Conference on Machine Learning (ICML) 2022 conference is happening this week -- you can stay tuned to a couple of articles on our side covering the most exciting news and research shared there, including "Make-A-Scene" which we cover on this week's "papers of the week" section. ICML is a big conference in the field and many breakthroughs are published there. We will share the top paper of the conference. Unfortunately, we do not have anyone from the team there, in person. Let us know if you'd like us to send someone from the Toward's AI team at these events to publish a recap and a "how it's like" kind of article to share our in-person experience with those of you that might be interested in going to such events.

Originally published on Towards AI the World's Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards AI, we help scale AI and technology startups. Let us help you unleash your technology to the masses. Our AI highlight this week was a recent publication by Meta AI, "No Language Left Behind" (NLLB200).

Eden AI simplifies the use and deployment of AI technologies by providing a unique API connected to the best AI engines. Companies are increasingly using Artificial Intelligence services, especially when it comes to automating internal processes or improving their customers' experience. The strong development of AI makes it a commodity. These functionalities can be used in several fields: health, human resources, tech, etc. The big players in the cloud market (Amazon Web Services, Microsoft Azure or Google Cloud) offer solutions that provide access to this type of service, but there are also smaller providers that are already competing with them: Mindee, Dataleon, Deepgram, AssemblyAI, Rev.AI, Speechmatics, Lettria, etc.

The Transform Technology Summits start October 13th with Low-Code/No Code: Enabling Enterprise Agility. Four in five (79%) retailers have little or no personalization or recommendation functionality on their commerce site, and only 26% noted the use of AI to optimize search results' relevance. Algolia, which makes an API platform for search and dynamic experiences, revealed its second annual State of Search Report, which includes insights from 900 technical and business decision makers from omnichannel, as well as from digital retailers with global revenues of over $100 million, exploring the current usage, investment, and value of search technologies. The State of Search Report reveals the impact of search on a variety of key areas, including conversion rates, user experiences, demand surges, achieving a headless architecture, and more. The report found that only 13% of retailers claim to offer shoppers an advanced search experience, which would create a clear competitive advantage.

Given any text prompt, the API will return a text completion, attempting to match the pattern you gave it. You can "program" it by showing it just a few examples of what you'd like it to do; its success generally varies depending on how complex the task is. The API also allows you to hone performance on specific tasks by training on a dataset (small or large) of examples you provide, or by learning from human feedback provided by users or labelers. We've designed the API to be both simple for anyone to use but also flexible enough to make machine learning teams more productive. In fact, many of our teams are now using the API so that they can focus on machine learning research rather than distributed systems problems.

Marketers see great potential value in using artificial intelligence (AI) to support the use case of recommending highly targeted content to users in real time. That use case scored the highest among 49 use cases presented to marketers in the 2021 State of Marketing AI report by Drift and the Marketing Artificial Intelligence Institute. That use case scored a 3.96, putting it on the cusp of "high value" (4.0), with 5.0 being "transformative." The AI marketing use cases that trailed in the top five include: "Most websites you go to today for businesses, a human is writing the rules to say which content to recommend," Paul Roetzer, CEO and founder of the Marketing Artificial Intelligence Institute, told CMSWire in a CX Decoded Podcast. "What are the related articles? There is some basic tagging system for if they read this, then read that. Most of them are human-powered. They don't have a Netflix or a Spotify type algorithm that's actually learning preferences, knows the last 15 articles someone read, and how far along he got into them. Therein lies potential, however it's something marketers and customer experience professionals remain hopeful about: 54% of them told CMSWire researchers in the State of Digital Customer Experience 2021 report they see AI having significant impacts on digital customer experience over the next two to five years. And most of them see "gaining actionable customer insights" (27%) as the area where they see the most potential. Roetzer said it is hard to find really good solutions to do this out-of-the-box. Noz Urbina of Urbina Consulting agreed, calling the technology nascent. The bigger question for marketers beyond what kind of tools are out there is do we have the data to support the use case, according to Roetzer. And do we have a strong foundation of metadata, content tagging and content taxonomies, according to Urbina. "You need enough data, for one," Roetzer said. "Sometimes the problem is smaller data, not necessarily the cost.

Marketers see great potential value in using artificial intelligence (AI) to support the use case of recommending highly targeted content to users in real time. That use case scored the highest among 49 use cases presented to marketers in the 2021 State of Marketing AI report by Drift and the Marketing Artificial Intelligence Institute. That use case scored a 3.96, putting it on the cusp of "high value" (4.0), with 5.0 being "transformative." "Most websites you go to today for businesses, a human is writing the rules to say which content to recommend," Paul Roetzer, CEO and founder of the Marketing Artificial Intelligence Institute, told CMSWire in a CX Decoded Podcast. "What are the related articles? There is some basic tagging system for if they read this, then read that. Most of them are human-powered. They don't have a Netflix or a Spotify type algorithm that's actually learning preferences, knows the last 15 articles someone read, and how far along he got into them. Therein lies potential, however it's something marketers and customer experience professionals remain hopeful about: 54% of them told CMSWire researchers in the State of Digital Customer Experience 2021 report they see AI having significant impacts on digital customer experience over the next two to five years. And most of them see "gaining actionable customer insights" (27%) as the area where they see the most potential. Roetzer said it is hard to find really good solutions to do this out-of-the-box. Noz Urbina of Urbina Consulting agreed, calling the technology nascent. The bigger question for marketers beyond what kind of tools are out there is do we have the data to support the use case, according to Roetzer. And do we have a strong foundation of metadata, content tagging and content taxonomies, according to Urbina. "You need enough data, for one," Roetzer said. "Sometimes the problem is smaller data, not necessarily the cost.

Algolia is seeking a software engineer to improve and contribute to its search engine. You will be responsible for implementing new features, making them run in production and improving the overall quality of the code base. This is a unique opportunity for someone who wants to help Algolia being blazing fast and relevant, scalable and resilient. All sorts of challenges arise in a distributed search network of more than a thousand machines: ranging from improving existing features to designing new ones at scale! You need to be autonomous, concerned with producing readable and maintainable code, and having a knack for solving problems in a pragmatic and efficient way.