3 Sources
[1]
Amazon Web Services VP of AI, Matt Wood, is leaving the company
Matt Wood, the Amazon Web Services vice president who was a longtime champion of the cloud giant's machine learning and artificial intelligence initiatives, is leaving the company after 15 years. Wood announced his exit from Amazon in a LinkedIn post Wednesday morning. An Amazon spokesperson confirmed his departure to GeekWire. There's no word yet on a potential successor for Wood in the role. He hinted in his post that he'll be surfacing elsewhere soon, writing, "I'm excited to continue bringing reinvention, transformation, and the future to more organizations in my next role (more to come on that; stay tuned)." Wood was involved in Amazon's machine learning and business intelligence initiatives for many years, long before the rise of generative artificial intelligence. He became AWS VP of AI in September 2022, just before OpenAI's ChatGPT showed the potential of generative AI, spurring AWS and others to scramble to catch up. Most recently, Wood was involved in the rollout of Amazon Q, the company's generative AI assistant for business intelligence and software development. Wood's departure is the latest in a series of executive changes in Amazon's cloud division, coming about five months after Adam Selipsky stepped down as AWS CEO, succeeded by Matt Garman in the role.
[2]
AWS VP of AI Matt Wood Departs
Longtime Amazon Web Services executive Matt Wood said he is leaving the company after 15 years. He most recently served as the cloud provider's vice president of artificial intelligence products. A spokesperson for AWS confirmed Wood's departure. Wood didn't immediately respond to a request for comment. "I'm excited to continue bringing reinvention, transformation, and the future to more
[3]
AWS AI VP And Longtime Innovator Says 'Farewell To Amazon'
AWS AI Vice President Matt Wood, who helped launched everything from Lambda and SageMaker to DeepRacer and EMR, is leaving Amazon after 15 years. Here's what you need to know. "After 15 incredible years, it's time for me to say farewell to Amazon," said Wood in a LinkedIn post Wednesday morning, which has already generated hundreds of comments. Wood is AWS' vice president of artificial intelligence. He first joined AWS in 2010 and has been part of every AWS re:Invent conference since it began in 2012. Wood has worked across AWS cloud businesses -- including helping to launch Lambda, Kinesis, SageMaker, DeepRacer, Athena, and EMR -- with a special focus on data, analytics, machine learning, and artificial intelligence, according to his AWS biography. "When I joined AWS, the cloud computing landscape was just beginning to take shape. It has been an extraordinary journey to be part of a team that has fundamentally transformed how businesses operate, grow, and innovate," said Wood. [Related: Cisco COO Jumps to AWS As VP Of Global Sales Operations] In his AI VP role, he worked closely with customers, partners, and internal AWS teams to drive effective use of AI across every industry. At AWS, Wood said he had the privilege of being at the forefront of the future, "putting technology that was once out of reach into the hands of every builder and business, helping to reinvent entire industries." Wood could not be reached for comment by press time. AWS AI Leader's Past And Future After six years working in product management and strategy at AWS, Wood was promoted to vice president of machine learning and business intelligence in 2016. Then in 2022, he became vice president of AI for AWS, according to his LinkedIn profile. Wood has worked with some of AWS' largest customers including the National Football League (NFL), Cerner, Intuit, Pinterest, GE, FINRA, Celgene, and NASA. AWS frequently showcased Wood on stage during many of its conferences. For example, at AWS Summit in New York City this summer, Wood was the keynote speaker. He has also been on stage multiple times during the company's largest conference of the year: AWS re:Invent. Before joining Amazon, he completed a Ph.D. in machine learning and was a post- doctoral fellow at Cornell University. In terms of where Wood will land next, he says, "stay tuned." "I'm excited to continue bringing reinvention, transformation, and the future to more organizations in my next role (more to come on that; stay tuned)," Wood said in his post on LinkedIn.
Share
Copy Link
Matt Wood, a key figure in AWS's AI and machine learning initiatives, announces his departure from Amazon after 15 years, marking another significant executive change in the cloud giant's leadership.
Matt Wood, the Vice President of Artificial Intelligence at Amazon Web Services (AWS), has announced his departure from the company after a 15-year tenure 1. Wood, who has been a longtime champion of AWS's machine learning and artificial intelligence initiatives, made the announcement in a LinkedIn post on Wednesday morning 2.
During his time at AWS, Wood played a crucial role in shaping the company's AI and machine learning strategy. He was involved in launching several key AWS services, including Lambda, Kinesis, SageMaker, DeepRacer, Athena, and EMR 3. His contributions span across various AWS cloud businesses, with a particular focus on data, analytics, machine learning, and artificial intelligence.
Wood's journey at AWS began in 2010, and he has been a prominent figure at every AWS re:Invent conference since its inception in 2012 3. In his role as VP of AI, he worked closely with customers, partners, and internal AWS teams to drive effective use of AI across various industries.
Most recently, Wood was involved in the rollout of Amazon Q, the company's generative AI assistant for business intelligence and software development 1. His work has touched some of AWS's largest customers, including the National Football League (NFL), Cerner, Intuit, Pinterest, GE, FINRA, Celgene, and NASA 3.
Wood's career at AWS saw significant growth over the years:
Wood's departure is part of a series of recent executive changes in Amazon's cloud division. It comes approximately five months after Adam Selipsky stepped down as AWS CEO, with Matt Garman succeeding him in the role 1.
While Wood has not disclosed his next career move, he hinted at future plans in his LinkedIn post: "I'm excited to continue bringing reinvention, transformation, and the future to more organizations in my next role (more to come on that; stay tuned)" 123. This statement suggests that Wood intends to remain active in the tech industry, potentially in a role that continues to focus on AI and innovation.
Wood's departure represents a significant change for AWS, given his long-standing involvement in the company's AI and machine learning initiatives. As AI continues to be a critical focus for cloud providers and tech companies, the impact of Wood's exit and his potential new role elsewhere in the industry will be closely watched by industry observers and competitors alike.
Summarized by
Navi
[2]
Google launches its new Pixel 10 smartphone series, showcasing advanced AI capabilities powered by Gemini, aiming to challenge competitors in the premium handset market.
20 Sources
Technology
7 hrs ago
20 Sources
Technology
7 hrs ago
Google's Pixel 10 series introduces groundbreaking AI features, including Magic Cue, Camera Coach, and Voice Translate, powered by the new Tensor G5 chip and Gemini Nano model.
12 Sources
Technology
7 hrs ago
12 Sources
Technology
7 hrs ago
NASA and IBM have developed Surya, an open-source AI model that can predict solar flares and space weather with improved accuracy, potentially helping to protect Earth's infrastructure from solar storm damage.
6 Sources
Technology
15 hrs ago
6 Sources
Technology
15 hrs ago
Google's latest smartwatch, the Pixel Watch 4, introduces significant upgrades including a curved display, enhanced AI features, and improved health tracking capabilities.
17 Sources
Technology
7 hrs ago
17 Sources
Technology
7 hrs ago
FieldAI, a robotics startup, has raised $405 million to develop "foundational embodied AI models" for various robot types. The company's innovative approach integrates physics principles into AI, enabling safer and more adaptable robot operations across diverse environments.
7 Sources
Technology
7 hrs ago
7 Sources
Technology
7 hrs ago