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2. Enterprise.Pdf Enterprise 00 01 02 03 04 05 06 07 08 09 10 11 12 Artificial Intelligence Watch Closely Informs Strategy Act Now Enterprise Trends The Rise of MLOps Businesses can turn their unruly data- language processing collection and classi- As machine learning matures and new sets into structured data that can be fication. Trained to recognize keywords, applied business solutions emerge, devel- trained, and they can build and deploy special algorithms can rapidly sort, opers are shifting their focus from build- models with minimal skills. Create ML classify, and tag information to detect ing models to operating them. Within is Apple’s no-code, drag-and-drop tool patterns. For example, a model trained to software, a set of best practices known as that lets users build custom models such search for hate speech can detect bad ac- DevOps relies on tools, automation, and as recommendation engines, natural tors in social networks. Machine transla- workflows to reduce complexity so that processing systems, and text classifiers. tion generates training data for financial developers can focus on problems that Google’s AutoML includes image clas- crime classification; last year, it reduced need to be solved. This approach is now sification, object detection, translation, the amount of time needed for classifi- being used in machine learning. In 2020, and all sorts of pattern recognition tools. cation from 20 weeks (human analysts some of the fastest-growing GitHub MakeML creates object detection. Ap- working alone) to two weeks. projects were MLOps, or projects that plications have included tracking tennis dealt with tooling, infrastructure, and balls during matches and automatically Simulating Empathy and Emotion changing the colors of objects (such as operations. Going forward, MLOps AI can now measure biomarkers that will describe a set of best practices that flowers or dresses) in images. Last year, Amazon launched a no-code mobile suggest a person’s emotional state, combines machine learning, traditional such as agitation, sadness, or giddiness. DevOps, and data engineering. and web app builder for Amazon Web Services (AWS). Microsoft Power Apps Precisely detecting human emotion is is a low-code application development challenging, but companies with a large Low-Code or No-Code Machine environment on Azure. enough dataset are developing accurate By measuring certain biomarkers, AI can detect people’s emotions and respond accordingly. Learning models. Amazon’s Rekognition API infers someone’s emotions using facial Machine learning is transitioning, as new Web-Scale Content Analysis platforms allow businesses to leverage recognition and physical appearance. the power of AI to build applications Mining very large, unstructured datasets Replika uses AI to evaluate voice and without the need to know specific code. is now easier thanks to advanced natural text, and over time it mirrors the user. 12 © 2021 Future Today Institute 00 01 02 03 04 05 06 07 08 09 10 11 12 Artificial Intelligence Watch Closely Informs Strategy Act Now Enterprise Trends Affectiva Human Perception AI analyzes theory of mind models of their own. This Serverless Computing complex human states using speech ana- technology could improve existing AI AWS, Alibaba Cloud, Microsoft’s Azure, lytics, computer vision, and deep learn- therapy applications such as WoeBot, Google Cloud, and Baidu Cloud are ing. For example, the automotive sector a clinical therapy chatbot. By designing rolling out new offerings and packages uses Affectiva’s technology to detect a machines to respond with empathy and for developers with the goal of making driver’s emotional state—such as sleep- concern, digital assistants such as Alexa it easier and more affordable for a wide iness or road rage—and make real-time will increasingly become a part of one’s swath of AI startups to launch their ideas suggestions to improve their driving. family. This technology could eventually into the marketplace. AWS Lambda lets end up in hospitals, schools, and prisons, teams run code for virtually any type of Artificial Emotional Intelligence providing emotional support robots to application or back-end service—with- patients, students, and inmates. Accord- Research teams at Loving AI and Han- out provisioning or managing servers ing to health service organization Cigna, or hands-on administration. The Azure sen Technologies are teaching machines the rate of loneliness in the U.S. has unconditional love, active listening, Functions architecture supports myr- doubled in the past 50 years. Two years iad programming languages, scales on and empathy. In the future, machines ago, former U.K. Prime Minister Theresa will convincingly exhibit human emo- demand, and charges only for active May created a new cabinet position, the compute time. Some engineers worry tions such as love, happiness, fear, and world’s first Minister of Loneliness. In sadness. It begs the question: What is that such serverless systems require them our increasingly connected world, people to surrender too much control. an authentic emotion? Theory of mind report feeling more isolated. Future refers to the ability to imagine the governments struggling with a massive mental state of others. This has long mental health crisis, such as South Korea, Samsung’s next Exynos system on a chip will have an AMD graphics processing unit (GPU). been considered a trait unique to humans may turn to emotional support robots to and certain primates. AI researchers address the issue at scale. are working to train machines to build 13 © 2021 Future Today Institute 00 01 02 03 04 05 06 07 08 09 10 11 12 Expert Insight Emotion AI Will words we say: We express ourselves through nonverbal cues from our Power the Empathy faces, voices, and body language. But technology is not designed to Economy, but AI capture the nuances of how we Still Needs to Work interact with those around us. AI may be the answer to preserv- ing our humanity in virtual envi- Dr. Rana El Kaliouby ronments. Specifically, Emotion AI—software that can understand CEO of Affectiva nuanced human emotions and complex cognitive states based on facial and vocal expressions— Emotion AI will power the empathy can address some of technology’s economy, but AI still needs to work. shortcomings in light of the pan- demic, and we’ll see companies The COVID-19 pandemic has using it for new use cases, such as: meant that more than ever, we rely on video conferencing to connect 1. Video conferencing virtually–working remotely, learning and virtual events from home, and in our social lives. Emotion AI can provide insight But there’s a big problem: These on how people are emotionally technologies are emotion blind. engaging in a virtual event or meeting. This provides presenters When we communicate in person, with valuable audience feed- we convey so much more than the © 2021 Future Today Institute 00 01 02 03 04 05 06 07 08 09 10 11 12 Artificial Intelligence back, gives participants a sense of a patient’s emotional wellbe- What’s on the horizon for AI: advanced driver safety features of shared experience, and can ing provides a quantitative mea- 1. Data synthesis. and personalize transportation, help companies take a pulse on sure of mental health that goes and to achieve that car makers AI algorithms are built on deep collective engagement during beyond self-reporting on a rating want to better understand what’s learning, but they can only work this stressful time. scale of 1-10. happening with people inside of accurately when they’re trained a vehicle. Getting that real-world and then validated on massive 2. Online learning data is difficult, expensive and amounts of data. That includes time-consuming. But data syn- Emotion AI can give feedback data that are diverse and truly thesis is not. For example, a video on how students are engaging representative of the situations of a person driving a car can with online educational ma- the algorithm will encounter in AI researchers are become data that lets research- terials and lectures, flagging if the real world. they’re confused, stressed, or now taking data that’s ers create new scenarios, such as simulating the person turning her bored. This becomes especially But companies developing AI of- already been collected head, or wearing a hat or sun- important during the pandemic ten are challenged in getting ac- glasses. as so many students are learn- and synthesized and cess to the right kinds of data and ing online and suffering from the necessary volumes of data. using it to create brand 2. The need for diversity, equity “Zoom fatigue.” That’s where data simulation and and inclusion. new data. data synthesis methodologies will 3. Telehealth come into play, addressing those As AI becomes more mainstream, Emotion AI can create more problems. AI researchers are now the tech is taking on roles that meaningful discussions and trust taking data that’s already been were traditionally done by hu- between patients and healthcare collected and synthesized and mans and changing how we providers as telehealth appoint- using it to create brand new data. interact with one another. For the ments are replacing in-person technology to work for all of us, visits. And, a data-driven analysis Take the automotive industry. diverse teams must build those The industry seeks to develop applications. Indeed, the number 15 © 2021 Future Today Institute 00 01 02 03 04 05 06 07 08 09 10 11 12 Artificial Intelligence one issue to look out for is the This can have adverse implica- ** risk for bias. Unfortunately, we’ve tions for social and economic Dr. Rana El Kaliouby is the Emotion AI can seen many instances in which AI mobility. People with access to has been biased against minority certain types of AI will be able Co-founder and CEO of Affectiva, give feedback on groups.
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