ai & machine
Is Indian real estate standing at the edge of an AI revolution?
The idea of AI (Artificial Intelligence) has existed over the last 60 years, often oscillating between periods of high market expectations and stretched dull periods with no concrete developments. However, in current times, AI is no longer just a buzzword and has started making inroads in our daily lives. From search engine recommendations to targeted advertisements, from virtual assistant apps to chatbots, AI is sneaking into our lives. It is going to stay and most probably will make waves in our worlds in the coming times. Naturally, AI has started entering the real estate industry as well.
- North America > United States (0.06)
- Asia > India (0.06)
This tech firm used AI & machine learning to predict Coronavirus outbreak; warned people about danger zones
A couple of weeks after the Coronavirus outbreak and the disease has become a full-blown pandemic. According to official Chinese statistics, more than 130 people have died from the mysterious virus. Contagious diseases may be diagnosed by men and women in face masks and lab coats, but warning signs of an epidemic can be detected by computer programmers sitting thousands of miles away. Around the tenth of January, news of a flu outbreak in China's Hubei province started making its way to mainstream media. It then spread to other parts of the country, and subsequently, overseas.
- Asia > Thailand > Bangkok > Bangkok (0.05)
- Asia > Taiwan > Taiwan Province > Taipei (0.05)
- Asia > South Korea > Seoul > Seoul (0.05)
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Scale Your Support Org Using AI 2020 Best Practices
Customer Service organizations have an opportunity to transform their operations with the power of AI. Digital-forward organizations understand the importance of self-service as the primary way customers expect to find information but also as the first line of defense for the support organization. Having an effective self-service experience is now becoming the norm and leading companies are now leveraging AI to bring scalability and personalization to their support sites so that each customer has relevant digital experience. Join our webinar where we'll discuss 3 best practices for scaling your self-service capability using AI:
10 Ways AI Is Going To Improve Fintech In 2020
Bottom Line: AI & machine learning will improve Fintech in 2020 by increasing the accuracy and personalization of payment, lending, and insurance services while also helping to discover new borrower pools. Zest.ai's 2020 Predictions For AI In Credit And Lending captures the gradual improvements I've also been seeing across Fintech, especially at the tech stack level. Fintech startups, enterprise software providers, and the investors backing them believe cloud-based payments, lending, and insurance apps are must-haves to drive future growth. Combined with Internet & public cloud infrastructure and mobile apps, Fintech is evolving into a fourth platform that provides embedded financial services to any business needing to subscribe to them, as Matt Harris of Bain Capital Ventures writes in Fintech: The Fourth Platform – Part Two. Embedded Fintech has the potential to deliver $3.6 trillion in market value, according to Bain's estimates, surpassing the $3 trillion in value created by cloud and mobile platforms.
- Banking & Finance (1.00)
- Information Technology > Services (0.59)
10 Ways AI Is Going To Improve Fintech In 2020
Bottom Line: AI & machine learning will improve Fintech in 2020 by increasing the accuracy and personalization of payment, lending, and insurance services while also helping to discover new borrower pools. Zest.ai's 2020 Predictions For AI In Credit And Lending captures the gradual improvements I've also been seeing across Fintech, especially at the tech stack level. Fintech startups, enterprise software providers, and the investors backing them believe cloud-based payments, lending, and insurance apps are must-haves to drive future growth. Combined with Internet & public cloud infrastructure and mobile apps, Fintech is evolving into a fourth platform that provides embedded financial services to any business needing to subscribe to them, as Matt Harris of Bain Capital Ventures writes in Fintech: The Fourth Platform - Part Two. Embedded Fintech has the potential to deliver $3.6 trillion in market value, according to Bain's estimates, surpassing the $3 trillion in value created by cloud and mobile platforms.
- Information Technology > Services (0.59)
- Banking & Finance > Loans > Mortgages (0.35)
Driving better patient engagement outcomes with AI & machine learning: Now more than ever, patients are willing to incorporate emerging technologies in all aspects of their lives -- including using AI and machine learning to assist them in managing health outcomes.
Now more than ever, patients are willing to incorporate emerging technologies in all aspects of their lives -- including using AI and machine learning to assist them in managing health outcomes. In sharp contrast to patients' overall comfort level with AI being used in their care, recent data suggests only 35 percent of patients say they feel valued by their physician's office. Furthermore, only 50 percent of patients said their physicians are readily available, with one-fifth of patients either disagreeing or strongly disagreeing that their physicians are easily accessible. We can do better to reach this key population, providing better access to care and quality engagement. Enter AI and machine learning.
AI & machine learning fight death with data
Technology is fighting death with data – including machine learning and artificial intelligence. Last week marked the annual Health Informatics New Zealand conference, in which local and global innovators spoke about how their work is changing local healthcare models. Amongst the New Zealand companies leading the way are Umbrellar and Auckland's Mercy Radiology and Clinics. "If we want healthcare service delivery to be consistent across the country, and we want to provide the best value to patients, we need to embrace digital technology," comments Mercy Radiology and Clinics CEO Lloyd McCann. "We need to address cultural barriers to change in the sector. Data, information and intelligence will help us drive this cultural transformation."
- Oceania > New Zealand > North Island > Auckland Region > Auckland (0.26)
- Europe > United Kingdom > Scotland (0.06)
- Health & Medicine > Health Care Providers & Services (0.55)
- Health & Medicine > Therapeutic Area > Endocrinology > Diabetes (0.39)
Making Data Simple: Hit a home run using AI & machine learning
How do baseball scouts use machine learning and AI to predict player performance? Ari Kaplan, Principal at Aginity, and David Kearns, Offering Manager, IBM Analytics Ecosystem, join us to talk about the recent merge of H20.ai and IBM. They also discuss how baseball decisions are made using analytics, AI, machine learning, Hadoop, and much more. Discover how the world's best players come together to create winning teams, and how these principles apply off the field in the world of business.