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Equinix Appoints Yang Song as SVP, Chief Data Science and AI Officer

News Provided by PR Newswire2025-11-13

Equinix Appoints Yang Song as SVP, Chief Data Science and AI Officer

[13-November-2025]

REDWOOD CITY, Calif., Nov. 13, 2025 /PRNewswire/ -- Equinix, Inc. (Nasdaq: EQIX), the world's digital infrastructure company^®, today announced the appointment of Yang Song, Ph.D., as SVP, Chief Data Science and AI Officer—effective immediately, reporting to Harmeen Mehta, Executive Vice President and Chief Digital and Innovation Officer.

In this role, Song will lead Equinix's global data science and AI organization, embedding intelligence into every facet of the company, from processes to platforms and experiences for its customers and employees alike. As a core part of the Digital and Innovation Office (DIO) leadership team, Song will be responsible for delivering operational excellence, enhancing customer experiences and unlocking new revenue streams at the executive level of the organization to set the course and strategy for the broader organization. With more than 20 years of AI and ML leadership experience across technology and academia, Song is a transformational leader who drives innovation and enterprise transformation at scale, developing high-performing global teams while fostering a culture of technical excellence and outcome-driven execution across cross-functional environments.

"At Equinix, AI and machine learning are more than technologies—they are our new creative force, helping us scale faster, differentiate more sharply and innovate more deeply across every part of our business," said Harmeen Mehta. "What truly sets Yang apart isn't just his technical mastery; it's his belief that great AI starts with great people. He inspires global teams, builds trust and fosters a culture where imagination and execution work in harmony, and I couldn't be more delighted to have him on board."

"What drew me to Equinix was its clear focus on driving transformative value through AI and machine learning across the enterprise," said Song. "As organizations look to harness AI responsibly and at speed, I'm excited to help accelerate that journey—working alongside a talented team to deepen our data capabilities and, in turn, deliver intelligent products and insights that create real value for Equinix customers."

Song has more than two decades of experience in driving AI innovation at Apple and IBM Research and in academia. At Apple, he served as Head of Data Science, Applied Machine Learning, where he transformed the company's enterprise AI vision, unifying fragmented machine learning efforts into scalable solutions that delivered billions of dollars in value across sales, operations, infrastructure and customer service. His work accelerated the adoption of next-generation AI and connected the worlds of science and impact, blending rigor, governance and ethical AI with a rare instinct for what truly moves a business forward.

Song earned his Ph.D. in electrical and computer engineering from the University of Florida. He completed the Stanford University Graduate School of Business (GSB) LEAD Program, a year-long curriculum that develops effective leaders with an innovation mindset who demonstrate a deep understanding of key business fundamentals. He currently serves on the Technical Program Committee for the Association for Computing Machinery's (ACM) Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD) and the annual KDD conferences.

About Equinix
Equinix, Inc. (Nasdaq: EQIX) shortens the path to boundless connectivity anywhere in the world. Its digital infrastructure, data center footprint and interconnected ecosystems empower innovations that enhance our work, life and planet. Equinix connects economies, countries, organizations and communities, delivering seamless digital experiences and cutting-edge AI—quickly, efficiently and everywhere.

Forward-Looking Statements
This press release contains forward-looking statements that involve risks and uncertainties. Actual results may differ materially from expectations discussed in such forward-looking statements. Factors that might cause such differences include, but are not limited to, risks to our business and operating results related to the current inflationary environment; foreign currency exchange rate fluctuations; stock price fluctuations; increased costs to procure power and the general volatility in the global energy market; the challenges of building and operating IBX^® and xScale^® data centers, including those related to sourcing suitable power and land, and any supply chain constraints or increased costs of supplies; the challenges of developing, deploying and delivering Equinix products and solutions; unanticipated costs or difficulties relating to the integration of companies we have acquired or will acquire into Equinix; a failure to receive significant revenues from customers in recently built out or acquired data centers; failure to complete any financing arrangements contemplated from time to time; competition from existing and new competitors; the ability to generate sufficient cash flow or otherwise obtain funds to repay new or outstanding indebtedness; the loss or decline in business from our key customers; risks related to our taxation as a REIT; risks related to regulatory inquiries or litigation; and other risks described from time to time in Equinix filings with the Securities and Exchange Commission. In particular, see recent and upcoming Equinix quarterly and annual reports filed with the Securities and Exchange Commission, copies of which are available upon request from Equinix. Equinix does not assume any obligation to update the forward-looking information contained in this press release.