May C. Wang Journalist Profile

Articles

Why Galaxy Backed OpenOrigins

Nov 10, 2024 | galaxy.com | Jeff Brown |May C. Wang

perspectives • November 04, 2024 The Double-Edged Sword of Generative AI There is no doubt that generative AI is revolutionary. However, we're entering a world where seeing is no longer believing. Perhaps the most significant question is: how can we ensure trust and verify authenticity in this rapidly evolving digital landscape?
From Batch to Streaming: The Real-time Data Revolution

Sep 17, 2024 | galaxy.com | Jeff Brown |May C. Wang

perspectives • September 17, 2024 Our Investment in DeltaStream In a world where milliseconds matter, data, and especially real-time data, is the lifeblood of the modern enterprise, enabling critical insights and timely actions. DeltaStream is to real-time, what the last generation big data and analytics companies were to batch processing, by harnessing the power of Apache Flink and real-time streaming. So why did we jump on board?
Dr. May Wang

Nov 13, 2023 | securityboulevard.com | May C. Wang

By Dr. May Wang Today's developers face myriad challenges. On the one hand, today's threat landscape continues to evolve, with new threats becoming more targeted and sophisticated. On the other hand, the speed of innovation has accelerated to facilitate the ongoing adoption of remote work, cloud-based tools and personal devices, creating more endpoints on ... Read More
How AI and Automation Can Secure Enterprises and Startups

Nov 13, 2023 | securityboulevard.com | May C. Wang

Today's developers face myriad challenges. On the one hand, today's threat landscape continues to evolve, with new threats becoming more targeted and sophisticated. On the other hand, the speed of innovation has accelerated to facilitate the ongoing adoption of remote work, cloud-based tools and personal devices, creating more endpoints on an already rapidly expanding attack surface.
A New Era of Cybersecurity with AI: Predictions for 2024

Oct 30, 2023 | paloaltonetworks.com | May C. Wang

3min. readArtificial intelligence (AI) has been table stakes in cybersecurity for several years now, but the broad adoption of Large Language Models (LLMs) made 2023 an especially exciting year. In fact, LLMs have already started transforming the entire landscape of cybersecurity. However, it is also generating unprecedented challenges. On one hand, LLMs make it easy to process large amounts of information and for everybody to leverage AI.
The Social-Ecological Nature of Wildfire

Aug 30, 2023 | daily.jstor.org | May C. Wang |Toddi Steelman |Lily Ray |Crystal A. Kolden

The 2023 wildfire season has been marked by blazes of unusual scale in unprecedented locations, ranging from Nova Scotia and Yukon Territory to the usually paradisiacal islands of Greece and Hawaiʻi. The consequences have been noticeable at a global level, with weeks of dangerously poor air quality across North America canceling events and filling news and social media feeds with ominously opaque skylines.
Minding Tourism's Communication Gap

May 5, 2023 | daily.jstor.org | May C. Wang

As Greenland turns down further opportunities to extract coveted oil and rare earth minerals, citing environmental concerns, they are cautiously turning towards tourism to stimulate their economy. The country has invested in building infrastructure and airport terminals to support frigid thrill-seekers and their wallets.
The UX problems built in AI

Apr 3, 2023 | medium.com | May C. Wang

This is an overall big-picture view of general AI problems relating to user experience. There are more industry-specific articles for other applications if you like to see more in-depth coverage. 1. Data Influences by TrainingChatGPT's own FAQ states that ChatGPT is "trained on vast amounts of data from the internet written by humans". OpenAI, Stable Diffusion, and other AI companies have previously used the LAION dataset, which is an AI-focused dataset that provides links to existing content.
The Future of Machine Learning in Cybersecurity

Feb 15, 2023 | csoonline.com | May C. Wang

Machine learning (ML) is a commonly used term across nearly every sector of IT today. And while ML has frequently been used to make sense of big data—to improve business performance and processes and help make predictions—it has also proven priceless in other applications, including cybersecurity.