So much has changed in the past two years about the retail space, including customer expectations and demands from retailers. In an analog world where a consumer will walk into a physical store for their shopping needs, whether they are on a mission for a specific item or going in for inspiration, what they expect is that they'll find what's relevant to them – often with a knowledgeable store associate to guide them. Now, in e-commerce, 90% of consumers expect the online experience to be equal to if not better than the in-store experience. This means finding what they need quickly and consistently each time they go to an online retail destination. Without a physical store associate to provide them with guidance, retailers can utilize technologies and advanced search platforms that allow consumers to easily and efficiently navigate, and discover what they need.

On Monday, Adobe announced that its stock photography service, Adobe Stock, would begin allowing artists to submit AI-generated imagery for sale, Axios reports. The move comes during Adobe's embrace of image synthesis and also during industry-wide efforts to deal with the rapidly growing field of AI artwork in the stock art business, including earlier announcements from Shutterstock and Getty Images. Submitting AI-generated imagery to Adobe Stock comes with a few restrictions. The artist must own (or have the rights to use) the image, AI-synthesized artwork must be submitted as an illustration (even if photorealistic), and it must be labeled with "Generative AI" in the title. Further, each AI artwork must adhere to Adobe's new Generative AI Content Guidelines, which require the artist to include a model release for any real person depicted realistically in the artwork.

Developing and deploying vision AI applications is complex and expensive. Organizations need data scientists and machine learning engineers to build training and inference pipelines based on unstructured data such as images and videos. With the acute shortage of skilled machine learning engineers, building and integrating intelligent vision AI applications has become expensive for enterprises. On the other hand, companies such as Google, Intel, Meta, Microsoft, NVIDIA, and OpenAI are making pre-trained models available to customers. Pre-trained models like face detection, emotion detection, pose detection, and vehicle detection are openly available to developers to build intelligent vision-based applications.

For the past several months I have been trying to master the field of Machine Learning. I am no expert in this field and am still in the process of learning, but in this post I would like to share a…

River Logic, a leading provider of advanced prescriptive analytics technology platform, announced that Priefert, a leading manufacturer and distributor of agricultural products, will use River Logic's Network Design Optimization technology platform as the company undergoes a digital transformation to improve efficiencies across all aspects of manufacturing. "River Logic's Production Scheduling Optimization solution provides us with more advanced capabilities as we look to take optimization to the next level across the enterprise," said Robert Dickson, Director of Cost Management. "In the near term, the software will enable us to make scheduling, inventory, and substitutions decisions more quickly, allowing for faster manufacturing throughput and fine-tuned granularity of detail. In addition, we expect to alleviate potential bottlenecks by reducing inventory concerns, and significantly reduce the time it takes to run scenario modeling, which in turn, will enable us to make more accurate long-term decisions that are informed and data-driven and cost savings." We're excited to partner with Priefert to scale their Production Scheduling Optimization to a more advanced level and help them achieve efficiencies across their operations and manufacturing with visibility to help drive better financial performance," said Carlos Centurion, President of River Logic.

In today's Money Morning, should we be thinking more about artificial intelligence as a society? Will ethical issues arise too abruptly for society to have sufficient time to resolve them? Is the AI future already here? Should we be thinking more about artificial intelligence as a society? Will ethical issues arise too abruptly for society to have sufficient time to resolve them? At the very least, advancements in AI will change society to some degree, especially the implications for the economy.

UJET, the world's most advanced contact center platform, today released new research revealing that 80% of consumers report increased frustration levels from using customer service chatbots. "Our findings highlight the challenges brands face with implementing automation to decrease wait times, improve first contact resolution, and increase customer satisfaction and loyalty. The key to success is achieving the right marriage between virtual and human agents in managing those consumer interactions." The research, based on data collected from nearly 1,700 consumers over the past 12 months, reveals ineffective automation technology such as chatbots is causing brands to lose credibility with their consumers. Recommended AI: How is Artificial Intelligence (AI) Changing the Future of Architecture?

According to the Department of Health and Human Services, 76% of pediatric inpatient beds are occupied across the U.S., and pediatric intensive-care beds are above 80%. Cases of respiratory syncytial virus (RSV) in the United States started showing up in the spring and are now 60% higher than 2021's peak week. As a result, pediatric hospitals across the country are under immense strain. "As we respond to this unprecedented surge in critically ill children, the Edgility Pediatric Lens is an exceptional instrument for identifying patient conditions and appropriate levels of care" Edgility's'Pediatric Lens' helps health systems across the country respond to the surge of flu and RSV patients overwhelming their pediatric populations. EdgeAi, Edgility's native Artificial Intelligence, curates data from multiple sources to orchestrate'levers of action' in real-time so staff can respond effectively and quickly to the surge in patients.

The arrival of the metaverse is transforming experiences for both customers and employees across multiple industries, giving us a glimpse of how the future could look. According to Gartner, by 2026 30% of companies worldwide will have meta-ready products and services. The convergence of new technologies such as Augmented Reality (AR), Virtual Reality (VR), and Artificial Intelligence (AI) are enabling companies to not only simplify business processes and improve decision making, but revolutionise the ways customers can interact and experience products and services. While there is plenty of debate on the social and legal aspects of the metaverse, these new immersive worlds are turning virtual experiences into products and opening up new business opportunities. Banks have been quick to hop on the metaverse trend towards data-driven interactive self-help and decisions to transform customer experience, business operations and increase efficiencies.

The skin is the largest organ in our body, and also the most complex. Peer at it under a microscope and you'll see thousands of nerve endings that keep the brain connected to the outside world and allow us to feel touch, pressure, and pain. But when Zhenan Bao looks at it, she sees something else. For Bao, a chemical engineer focused on making polymers, the skin is not only a sensory organ, but also a material. One that, in her words, is flexible, but also stretchable, self-healing, and biodegradable.