Top 5 AI Trends to Watch in 2022

By Susan Hu

According to a 2021 IDC report, global spending on AI systems will jump from $85.3 billion in 2021 to over $204 billion in 2025 with a compound annual growth rate (CAGR) of 24.5%. McKinsey's Nov 2020 survey also suggested that over half of the organizations surveyed already adopted AI in at least one function. As businesses across industries start to see the value in incorporating AI to improve their productivity, efficiency and customer satisfaction, more organizations are increasing their investments in AI. So how are you planning your AI strategy for 2022?

Conversational AI and the Future of Customer Success

By Susan Hu

According to a 2021 report, the global Conversational AI market size was valued at USD 5.78 Billion in 2020 and is projected to reach USD 32.62 Billion by 2030, registering a Compound Annual Growth Rate (CAGR) of 20.0% from 2021 to 2030. What is the hype all about? Can your business benefit from Conversational AI? We will be exploring this topic today.

AI to Empower a Sustainable Future

By Susan Hu

As power grids become more and more complex, especially as renewable energy sources becoming more and more common, it brings great challenges to traditional grid management methods. For example, the instability of renewable energy, changes in load patterns are quite unpredictable given nuances within the energy industry. In addition, more sophisticated security attacks have also brought more uncertainty to the industry. It's becoming essential for energy providers to modernize, secure their operations with sustainable management. And this is where AI comes in!

AI Tools for Next-Gen Health Care

By Susan Hu

As AI technology becomes more prevalent and mature, its applications in many areas such as drug development and patient treatment are transforming the health care industry. According to Insider Intelligence, spending on AI in medicine is projected to grow at an annualized 48% between 2017 and 2023...

The Future of Artificial Intelligence is Here: Introducing Graphen AI Platform Ardi 1.0

By Susan Hu

Graphen has recently announced the release of its next-gen AI platform, Ardi, the first end-to-end next-gen AI system with all the major functions the team had envisioned and worked on over the last three years.Built by a group of industry leaders with over 15 years of experience in AI Security and AI Finance, Ardi is a comprehensive system to create advanced, enterprise-level AI solutions upon. Its seven key modules include Database, Analytics, Reasoning, Learning, Strategy, Explanation and Pipeline.

Non-Performing Loan Prediction in the age of Artificial Intelligence

By Susan Hu

A non-performing loan (NPL) is a loan in which the borrower is in default - in other words, the borrower has failed to make the scheduled payments for a specified period. In 2019, 0.89% of the loans that banks in the United States held were non-performing.

What have we learned about COVID-19 from the genome sequencing research?

By Susan Hu

Based on nearly 20,000 reported genome sequences of the COVID-19 virus (SARS-CoV-2) from labs around the world, Graphen has been monitoring and analyzing the genome evolution and propagation pathway of the virus since March 2020. The research has identified about 500 strains of viruses so far.

The Future of Machine Learning: Automatic Graph-based ML

By Susan Hu

Artificial Intelligence (AI) has made rapid advancements in recent years, especially as big data becomes more available and computing capability improves tremendously. Machine learning (ML) is an area of AI where machines are trained by algorithms and autonomously, continuously learn from data to improve their performance in problem solving.

What we know about Coronavirus

By Susan Hu

Insights from Dr. Ching-Yung Lin, Founder and CEO of Graphen, leading AI researcher on Coronavirus genomic evolution. As of March 30, 2020, based on the 2,724 reported genome sequences of the COVID-19 virus (SARS-CoV-2) from worldwide labs, Graphen Inc., in conjunction with Columbia University, aligns the genome of viruses, looks for the canonical form of each gene location,...

Anti-Money Laundering (AML) in the Artificial Intelligence (AI) Era

By Susan Hu

According to the United Nations Office on Drugs and Crime (UNODC), the estimated amount of money laundered globally in one year is 2 - 5% of global GDP, or $800 billion - $2 trillion U.S. dollars. As stated by Thomson Reuters, in the U.S. alone, financial institutions are currently spending about $8 billion U.S. dollars a year on AML compliance.

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