The first conference on industry applications of machine learning in climate tech
June 1-2 2022 – Livestream Direct to You
Discover how machine learning can be a vital component in effective climate tech.
PART OF MACHINE LEARNING WEEK
There is a wealth of expertise, passion, and money pouring into climate tech as both startups and established industrial players seek to address one of the most important challenges facing humanity. Machine learning can be an important component in tech for addressing the climate crisis. Join PAW Climate to explore how companies apply machine learning to problems such as smart electrical grids, supply chain optimization, building energy efficiency, industrial control, precision agriculture, climate risk assessment, weather forecasting, ecosystem monitoring, and disaster response.
The second edition of PAW Climate will also be virtual – bringing together the global community with minimum carbon footprint.
The call for speakers is on at the moment, with all speakers and panellists receiving free attendance to the conference, so now is the opportunity to share your experience.
Tickets for PAW Climate are available for a very special price, starting at $100, including the recordings – register here to secure yours.
The PAW Climate Conference Chairs
Eugene Kirpichov, Work On Climate
Eugene is an expert in the large-scale data processing and machine learning infrastructure space. With over 13 years of experience under his belt, he had spent the last 8 as a Staff Software Engineer at Google Cloud and Google AI, before fully realizing the urgency and opportunity of climate change mitigation and leaving in Aug 2020 with his friend Cassandra Xia to pivot into climate.
Currently he’s mobilizing professionals to work on climate long-term as part of the Work On Climate community and exploring other ways to accelerate the climate solutions ecosystem.
Archy de Berker, Head of Data and Machine Learning, CarbonChain
Archy leads data science at CarbonChain, building datasets and models to characterize the world’s most polluting supply chains. He’s applied machine learning in a variety of climate tech companies, ranging from demand side response & generation forecasting to satellite monitoring of heavy industry. He previously worked in applied research and product management at Element AI in Montreal, building NLP products for the enterprise. He received his PhD in neuroscience from University College London.
Prachi Sukhatankar, Vice President, Amentum
Prachi is a technology and innovation executive who has taken diverse leadership roles over a span of 20 years, guiding the strategy, engineering, go-to-market, delivery and brand of solutions across domains like environment, infrastructure, public health, education, defense and more. As Amentum’s Vice President, Prachi leads the technology strategy and solutions by leveraging Analytics/AI, IoT, Predictive Maintenance, and Robotic Process Automation. Previously, she was a Technical Fellow at SAIC and also led initiatives in Advanced Analytics, Big data and Software.
Prachi combines human-centered design, Agile and workplace collaboration approaches to drive entrepreneur-style innovation. She holds a Master’s in Computer Science from University of Illinois at Urbana-Champaign and executive education in a variety of disciplines. She has served in leadership and mentor positions for organizations like Northern Virginia Technology Council and Women In Technology.
PAW Climate is part of Machine Learning Week — the facts:
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Predictive Analytics World is the leading cross-vendor conference series covering the commercial deployment of machine learning and predictive analytics. Hear from the horse’s mouth precisely how Fortune 500 analytics competitors deploy machine learning and the kind of business results they achieve.
COMPANIES ON THE MACHINE LEARNING WEEK 2020 AGENDA INCLUDED
Witness how practitioners at these leading enterprises apply machine learning:
Previous attendees describe what they found most valuable at PAW:
Testimonials
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