If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
The emerging COVID-19 pandemic has become a once-in-a-century challenge that has impacted society profoundly and has disrupted almost every facet of life for people around the world. The demands on the infrastructure of health information technology (Health IT) are numerous, as we learn to use the tools we have created to address the issues we are facing now. In most areas where work-from-home and social distancing have become prevalent, and especially in areas where shelter-in-place orders have been issued, the nature of ambulatory care has dramatically changed. Some practices, such as non-trauma orthopedics, are unable to find operating room availability, and their practices have ground to a halt. The result of this has been a dramatic and sudden decrease in office volume – 5 or 6 virtual visits in a day, plus one or two in-person visits, in the place where a practice used to be 20 visits per provider per day, is not economically sustainable, especially for small and independent practices.
A common pitfall a lot of machine learning (ML) companies run into is mistaking data as knowledge. Several enterprises think that having a lot of data makes them ripe for harvesting insights instantly through AI and ML techniques. It is not entirely true. Data is not equal to knowledge, or more precisely, not the knowledge you think it equals. Ernesto Miguel, 47 is a plant operator in a leading cement company.
Due to their unique oversight, governments have a surplus of data at their fingertips. Used properly, this available data could enable them to create beneficial programs that tackle problems in economics, policy, transportation, and civic life. Unfortunately, the majority of that data is untapped. Here are the facts about AI startups needing data, and how that helps governments. All hope is not lost, though.
When Ada Health was founded nine years ago, hardly anyone was talking about combining artificial intelligence and physician care -- outside of a handful of futurists. But the chatbot boom gave way to a powerful combination of AI-augmented health care which others, like Babylon Health in 2013 and KRY in 2015, also capitalized on. The journey Ada was about to take was not an obvious one, so I spoke to Dr. Claire Novorol, Ada's co-founder and chief medical officer, at the Slush conference last year to unpack their process and strategy. Co-founded with Daniel Nathrath and Dr. Martin Hirsch, the startup initially set out to be an assistant to doctors rather than something that would have a consumer interface. At the beginning, Novorol said they did not talk about what they were building as an AI so much as it was pure machine learning.
The market for conversational AI is expected to grow to more than $15 billion by 2024, from $4.2 billion in 2019. And for good reason -- the technology is helping enterprises find new value and capabilities. In the enterprise, businesses are leveraging conversational AI for both customer-facing and internal use. According to IBM, companies spend $1.3 trillion to answer 265 billion customer service calls each year -- but deploying smart AI to address the most routine cases can cut costs by 30% and lower call center employee attrition. Thus the call center is a natural priority for deploying conversational AI, although that's far from the only use case.
Alphabet's R&D subsidiary X has unveiled its next "moonshot project," as the company strives to improve ocean health through automatically tracking and logging the behavior of fish over time. The oceans constitute more than 70% of Earth's surface, and play a pivotal part in regulating the global climate. They also provides billions of people with food, with fish generally having a lower carbon footprint relative to land-based animals. But understanding what's going on underneath the oceans is key to protecting it, which is what Google's sister company is now setting out to achieve. Tidal, as the new project is called, is setting out to help preserve the ocean's ability to "support life and help feed humanity, sustainably," noted Tidal project lead Neil Davé, in a blog post.
As technology evolves at a rapid rate – especially technology that incorporates artificial intelligence (AI) capabilities – so too does the potential for bias, disconnect, misuse of data, and the automation of impersonal actions or decisions. With the vast amounts of data collected, stored, and exchanged, capitalist societies risk the commoditization of personal data at the expense of the individual, instead of using personal data to foster valuable individual and societal relationships. In business, AI and machine learning are increasingly used as part of smart systems that analyze large amounts of data to identify trends that will benefit the business, like capturing more consumers and increasing profits, as opposed to building long-lasting relationships. AI shouldn't only be focused on the business' bottom line. In fact, a recent AI and empathy survey by our company of 6,000 consumers from North America, the United Kingdom, Australia, Japan, Germany, and France found that 69% of consumers think businesses have a moral obligation to do what's right for the consumer, beyond what is legally required.
The issue of diversity in STEM fields is something which has been spoken about for some time, albeit until recently on a smaller scale. Is the issue of diversity, starting to be recognised at a greater scale in STEM fields? Has there been a shift in the increase in vocalising the discussion and creation of movements and organisations with the sole focus of addressing the concerns of those directly affected. Although increasingly spoken about, what are we doing to address diversity and how can we practically address the issue currently present? We asked some of our friends in STEM for their practical solutions.
Jeff Klaus, General Manager of Intel Data Center Management Solutions, explores how Intel Memory Failure Prediction (Intel MFP) uses machine learning to improve the performance and reliability of server memory to predict potential failures and prevent downtime. China is the largest e-commerce market in the world, projected to reach $1.1 trillion in 2023, up from $572 billion in 2017, according to Statista. The combined forces of the country's robust economic growth, a rapidly emerging middle class, a large population of computer literate consumers, and the proliferation of smartphones are among the major factors driving the sale of physical goods and services via digital channels. Headquartered in Beijing, Meituan-Dianping (Meituan) offers an online delivery and social commerce platform whose apps connect consumers with local businesses for food delivery, groceries, restaurant recommendations, hotel bookings, movie tickets, bike sharing, and health and fitness products and services. Named to Fast Company's top-50 list of the world's most innovative companies based in China last year, Meituan is keenly focused on developing new ways to make its delivery platform more cost-effective and efficient.
On Wednesday, Microsoft Corp. announced AI for Health, a new $40 million, five-year program and part of the AI for Good initiative, that will leverage artificial intelligence (AI) technology to empower researchers and organizations addressing some of the world's toughest challenges in health. "Artificial intelligence has the potential to solve some of humanity's greatest challenges, like improving the health of communities around the world," said Brad Smith, president, Microsoft. "We know that putting this powerful technology into the hands of experts tackling this problem can accelerate new solutions and improve access for underserved populations. That's why we created AI for Health." In a new era of tech intensity, in which technology is reshaping every organization and becoming embedded in the fabric of every aspect of our lives, digital advances will continue to reshape our world in profound ways.