Augmented AI refers to the use of artificial intelligence (AI) to enhance human decision-making. It involves the integration of AI systems and tools into human workflows, augmenting and supporting human capabilities instead of replacing them. One of the key benefits of augmented AI is improved accuracy and efficiency. AI algorithms can analyze large amounts of data, identify patterns, and make predictions much faster than a human can. This can help decision-makers to make better and more informed choices, increasing productivity and reducing the risk of errors. Another advantage is the ability to handle repetitive and monotonous tasks, freeing up time for more creative and higher-value work.

The AWS re:Invent conference announced numerous tools and services for developers in 2019. This year, the developers at AWS paid special attention to machine learning development. In this article, we list down the top announcements on machine learning services at AWS re:Invent 2019. Amazon Augmented AI or A2I provides built-in human review workflows for common machine learning use cases, such as content moderation and text extraction from documents, which allows predictions from Amazon Rekognition and Amazon Textract to be reviewed easily. This feature makes it easy for building and managing human reviews for machine learning applications.

Gartner predicts that by 2021, Augmented AI would create up to US$2.9 trillion of business value with 6.2 billion hours of worker productivity globally. Further, Gartner confirms that Augmented Intelligence and AI are collaborating to enhance cognitive performance that includes decision-making, learning, and new experiences. As AI technology evolves, the combined AI and human capabilities that augmented intelligence allows will deliver more significant benefits to enterprises. By 2030, decision support and augmentation will surpass all other types of AI initiatives to account for 44% of the global AI-derived business value. According to the AI business value forecast by Gartner, customer experience is the primary source of AI-derived business value.

When was the last time you walked away from a web, app or phone experience with a service provider, raving about how much you enjoyed the experience? If you have, you're one of the lucky few. Unfortunately, awesome customer experiences are hard to come by. Let's see what the data says. In an oft-cited study a few years ago, Bain & Company reported that 80 percent of B2C companies believe they deliver a "superior experience" to customers.

If digital workplaces are being disrupted by the ongoing development of artificial intelligence (AI) driven apps, by 2021 those disruptors could end up in their turn being disrupted. The emergence of a new form of AI, or a second wave of AI, known as augmented AI is so significant that Gartner is predicting that by 2021 it will be creating up to $2.9 trillion of business value and 6.2 billion hours of worker productivity globally. Gartner defines augmented intelligence as a human-centered partnership model of people and AI working together to enhance cognitive performance. This includes learning, decision making and new experiences. "As AI technology evolves, the combined human and AI capabilities that augmented intelligence allows will deliver the greatest benefits to enterprises," Svetlana Sicular, research vice president at Gartner, said in a statement..

Sitecore laid off about 5% of its workforce this week ... what are the implications? Also, the disruptor is disrupted with the future of artificial intelligence as "augmented AI" is predicted to take over. And, in case you didn't know: engaged and happy employees mean even happier customers! What else did you miss?

In the heart of Oxford's Ashmolean Museum, surrounded by countless monuments to human achievement, the founders of Mind Foundry regaled the audience with their firsthand account of the inception of the company. In a world that so often fearmongers the advent of democratised artificial intelligence (AI), Professor Stephen Roberts and Professor Michael Osborne pose a more optimistic vision for the future of human and machine, not one of AIs, but rather of augmented human intelligence. Since 2015, the AI for Business report has been a staple of the Raconteur publishing calendar, positioning us to narrate the future of this nascent, but rapidly growing, industry. Over that period, we have watched avidly as AI has transitioned from technology to a category on the Gartner Hype Cycle, spawning more emergent technologies than perhaps any other transitive category since big data. Much to this accord, Mind Foundry has debuted as one of the first-mover commercial machine-learning platform-as-a-service (ML PaaS) or automated machine-learning (AutoML) offerings in the market, presenting a solution which promises to keep humans relevant in the age of machine-learning. Mind Foundry has entered the market as the world leader and category-defining product that will turn the much hyped potential of creating and empowering'citizen data scientists' into reality With the vast delta in demand and supply for data science talent, this is an important addition to the marketplace.

Those who run regularly or who have experienced the endorphin euphoria known as "runner's high", can experience the same heady feeling reading Joanna Goodman's "Robots in Law: How Artificial Intelligence is Transforming Legal Services" (Ark, 2016). The book provides a fulsome journey for the reader through the Artificial Intelligence (AI) legal landscape, explaining key concepts for the uninitiated and highlighting the most visible vendors and makers among other industry players. The running analogy has a special significance for those of us that are current or lapsed runners. Lisa started reading at the same time as beginning marathon training on her global travels. The hope was that like Nike running apps, "Robots" would provide her with the tools and insights she needed to understand the AI legal tech hype, and intelligently speak to the topic with fellow colleagues in legal innovation.