The cloze test, widely used due to its low cost and flexibility, makes it possible to assess reading comprehension by filling in gaps in texts, requiring the mobilization of diverse linguistic repertoires. However, traditional correction methods, based only on exact answers, limit the identification of nuances in student performance. This study proposes an automated evaluation model for the cloze test in Brazilian Portuguese, integrating orthographic (edit distance), grammatical (POS tagging) and semantic (similarity between embeddings) analyses. The integrated method demonstrated its effectiveness, achieving a high correlation with human evaluation (0.832). The results indicate that the automated approach is robust, sensitive to variations in linguistic repertoire and suitable for educational contexts that require scalability.

Conversational AI has advanced dramatically since the early days of chatbots with limited capabilities. As time goes on, more industries are realizing the capabilities and benefits these advancements bring. Digital assistants like Alexa and Siri have consumers wondering why the same capabilities can't be used at work. While there are enterprise versions of Alexa and Cortana, conversational AI is still not at a point where a user can ask any question and receive a coherent answer. Like most other types of AI, the best use cases are narrow as opposed to broad.

How do you bring artificial intelligence into an organization that's functioned perfectly well without it for decades? That was the challenge faced by Humana Chief Data and Analytics Officer Slawek Kierner when he joined the Fortune 42 healthcare insurance provider in December 2018. Kierner, who had served as Microsoft's PowerBI, Dynamics, Cloud and AI Chief Data and Analytics Officer at Microsoft before joining Humana, recounted his experience of bringing AI to Humana during the AI Summit in New York this month. In a session at the event, Kierner presented the process of introducing AI to the organization, and Adam Wenchel, co-founder and CEO of machine learning monitoring startup Arthur, introduced Kierner and facilitated a question-and-answer session afterward with his own questions plus questions from the audience. Wenchel pointed out how quickly AI in the enterprise has evolved.

CTO & Co-Founder of StreamSets, helping companies enable DataOps and deliver continuous data under constant change. The decline of their health, financial difficulty, personal safety risks and the loss of independence -- when it comes to aging, our seniors have a lot on their minds. In a strange juxtaposition, the advancement of our medical knowledge and technology can actually exacerbate the situation for them. Consider this -- the first electroencephalogram (EEG) was recorded in 1924. The first MRI was in 1977.

EqualAI, a nonprofit organization and leading voice focused on reducing unconscious bias in the development and use of Artificial Intelligence (AI), challenged corporations and business leaders around the globe to take The Pledge to Reduce Bias in AI. There are immediate actions that organizations can take to identify and reduce bias within their existing systems. EqualAI has been seeking out ways that companies can go beyond mere statements in support of the Black Lives Matter (BLM) movement and commit to action. The Pledge identifies actions within a company's control that they can commit to changing quickly to create a tangible impact in our society. Organizations taking The Pledge to Reduce Bias in AI are forward-thinking leaders.

Insurance giant Humana and Microsoft announced a seven-year strategic partnership to use cloud and artificial intelligence technologies to build predictive solutions and intelligent automation to support Humana members and their care teams. Humana plans to use Microsoft's technology muscle, specifically its Azure cloud, Azure AI and Microsoft 365 collaboration technologies, as well as interoperability standards like Fast Healthcare Interoperability Resources (FHIR) to provide care teams with real-time access to information through a cloud platform, the companies said. Providers can use these technology tools to have a more holistic view of their patients to enable better preventive care, keep up with patients' medication schedules and refills and identify social barriers to health such as food insecurity, loneliness and social isolation, Humana said. Humana's goal is to leverage technology to improve members' health outcomes and make their healthcare experiences simpler to navigate. The partnership will address two core innovation areas for Humana.

Cloud computing in particular is big in health IT, with the global market expected to hit $35 billion by 2022. The supply chain aspect of the agreement could be taking aim at Amazon, which has been courting health systems to use Amazon Business as a marketplace for medical supplies. The new partnership will open up opportunities to use AI and machine learning to enhance the consumer experience. That's an area another competitor, Google, has focused on. Google's DeepMind, life sciences arm Verily and spinoff Calico have made forays into various areas within healthcare.

Customer Satisfaction has come a long way. Decades ago, customers participated offline in focus groups and written surveys. The arrival of the internet and email gave customers today a new way to express their experience and emotions related to a product. Over the past few years, CRM (customer relationship management) tools helped organizations start measuring customer satisfaction and surveys such as NPS, CSAT and CES and increasingly popular for this. So how is Artificial Intelligence going to change the ways of measuring customer satisfaction as we know them?

The consumer experience is transforming, and technology is at the center of it all. One company leading the way is health insurance provider Humana. There are a lot of options to focus on with the customer experience, but according to Geeta Wilson, director of customer experience at Humana, the company looks for where it can make the biggest impact first--by using technology to deliver a better experience to the customers. Humana breaks down its interactions with customers into two categories: assisted and unassisted. Assisted service is when a person needs help to answer their question or perform their task.