Amazon Web Services (AWS) powers much of the world—much of what you see, and much of which you don’t realize. And it has been doing so with artificial intelligence for more than 20 years. Long-time community member of Marketing AI Institute and Head of AI Solutions Marketing at AWS, Albert Esplugas, sat down with Paul Roetzer at MAICON 2022 to discuss technological advancements, AI, and what he sees as the future for marketers and businesses.

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This week on The Marketing AI Show, Marketing AI Institute founder/CEO Paul Roetzer and Chief Content Officer Mike Kaput talk about three AI stories in the news and add their take on these developments and what it means for marketers and business leaders.

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In a 2021 survey, 86% of businesses said that AI was becoming a “mainstream technology” at their company, while another poll showed that adoption rates of machine learning methods were at 45%. Digital marketing is one of the industries that can benefit greatly from this technology, harnessing it for advanced segmentation, personalization, and SEO optimization.

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In the world of digital marketing, data is everything. It helps you understand your customers, optimize your campaigns, and make smarter business decisions. Not to mention, it’s a critical prerequisite for using AI in your marketing.

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Technology, the metaverse, and artificial intelligence: they’re in the news now more than ever. As much as we talk about AI, we appreciate the reminder also need to keep the human front and center. And it can reap amazing results.

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We’ve long preached the idea of marketer + machine, and as marketing departments become increasingly accountable for business outcomes, marketers need support. How can AI support marketing, increase performance and ROI, and how can we integrate AI into daily business activities?

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What if you could use artificial intelligence to measure someone’s attention and response to content and ads—by analyzing their facial expression?

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New users can start creating straight away. Lessons learned from deployment and improvements to our safety systems make wider availability possible.

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Starting later today, we are removing the waitlist for the DALL·E beta so users can sign up and start using it immediately. More than 1.5M users are now actively creating over 2M images a day with DALL·E—from artists and creative directors to authors and architects—with over 100K users sharing their creations and feedback in our Discord community.

Responsibly scaling a system as powerful and complex as DALL·E—while learning about all the creative ways it can be used and misused—has required an iterative deployment approach.

Since we first previewed the DALL·E research to users in April, users have helped us discover new uses for DALL·E as a powerful creative tool. Artists, in particular, have provided important input on DALL·E’s features.

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Their feedback inspired us to build features like Outpainting, which lets users continue an image beyond its original borders and create bigger images of any size, and collections—so users can create in all new ways and expedite their creative processes.

Learning from real-world use has allowed us to improve our safety systems, making wider availability possible today. In the past months, we’ve made our filters more robust at rejecting attempts to generate sexual, violent and other content that violates our content policy and built new detection and response techniques to stop misuse.

We are currently testing a DALL·E API with several customers and are excited to soon offer it more broadly to developers and businesses so they can build apps on this powerful system.

We can't wait to see what users from around the world create with DALL·E. Sign up today and start creating.

source https://openai.com/blog/dall-e-now-available-without-waitlist/

Natural language generation (NLG) is taking the world by storm as a wave of billion-dollar language startups are upending how humans create content and interact with machines.

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At the Marketing AI Institute, we’ve had webinars, blog posts, MAICON sessions, AI Academy for Marketers lessons, and more on ethical AI. But are the right questions being asked? Is the time and care necessary really being put into the implementation of AI-powered technologies? We’ve talked about it and read about it in academics, blog posts, and content, but when it comes to the practical side of things, what we need to help us are examples of ethical and trustworthy AI implementation.

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