We're sunsetting PodQuest on 2025-07-28. Thank you for your support!
Export Podcast Subscriptions
cover of episode Developing an Appetite for AI: ExxonMobil’s Sarah Karthigan

Developing an Appetite for AI: ExxonMobil’s Sarah Karthigan

2021/11/2
logo of podcast Me, Myself, and AI

Me, Myself, and AI
AI Deep Dive AI Chapters Transcript
People
S
Sarah Karthigan
Topics
Sarah Karthigan：我在埃克森美孚负责领导利用人工智能为IT运营设计和执行自我修复策略。自我修复的核心是主动监控、检测和修复问题，无需人工干预。我的团队利用人工智能提高效率、降低成本，自动化手动任务，提高安全性和生产力，并帮助科学家和工程师进行决策。我们处理海量数据，人工智能在图像处理、需求预测、动态定价、动态收益管理和交易等方面都有应用。自我修复策略始于监控系统、捕获数据并集成数据，然后利用数据分析、训练机器提取洞见，检测异常并自动修复问题。埃克森美孚有多个团队从事数据科学和人工智能工作，这些团队嵌入不同的业务部门，与业务部门紧密合作。AI项目的性质和发起者取决于业务部门在AI采用和利用方面的成熟度。人工智能帮助地质学家和地球物理学家处理大量非结构化数据，提高了效率和准确性。成功的AI项目实施需要关注文化因素，获得最终用户的认可，并拥有良好的变更管理流程。最初推广AI时，团队通过展示AI的可能性，并先从提供数据分析结果开始，逐步获得用户认可。为了持续改进AI模型，需要监控模型性能、对模型进行再训练，并采用持续改进的方法。为了提升员工对AI的理解和应用能力，公司开展了员工培训项目。我非常期待即将进行的自我修复项目，该项目旨在将自我修复策略付诸实践。为了留住数据科学人才，埃克森美孚为员工提供接触不同应用案例的机会。在招聘数据科学家时，我关注团队的多样性，并寻找具有不同技能和背景的候选人。为了实现数据科学领域性别平衡，公司应提供平等的机会，女性数据科学家应积极争取机会并表达自己的观点。对于刚开始职业生涯或正在接受学术培训的女性数据科学家，我的建议是积累处理真实数据的项目经验，并积极表达自己的想法。 Sam Ransbotham和Sherven Kodabande：作为访谈主持，他们引导话题，提出问题，并对Sarah Karthigan的回答进行总结和评论。他们关注AI的组织方面和技术方面，以及如何引导用户接受和改进AI解决方案。

Deep Dive

Chapters
Sarah Karthigan discusses her role in leading AI strategies at ExxonMobil, focusing on self-healing IT operations and the company's commitment to providing reliable and affordable energy.

Shownotes Transcript

ExxonMobil is an energy company that’s existed since 1870, well before artificial intelligence. So, what does an AI manager at ExxonMobil do? In the latest episode of the Me, Myself, and AI podcast, hosts Sam Ransbotham and Shervin Khodabandeh interview Sarah Karthigan, AI operations manager for IT, to find out.

Sarah leads a data science team tasked with making use of large volumes of data, with the goal of offering reliable and affordable energy to a variety of populations. A major focus of Sarah’s efforts has been around self-healing, a method for internal process improvement. Listen in to learn how her group secures buy-in for various technology initiatives and works to continually improve human-machine collaboration for the organization. Read the episode transcript here).

Me, Myself, and AI is a collaborative podcast from* MIT Sloan Management Review *and Boston Consulting Group and is hosted by Sam Ransbotham and Shervin Khodabandeh. Our engineer is David Lishansky, and the coordinating producers are Allison Ryder and Sophie Rüdinger.

Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders.)

Read more about our show and follow along with the series at https://sloanreview.mit.edu/ai).

Guest bio:

Sarah Karthigan is a reputed leader with a demonstrated history of leading digital transformation initiatives in the energy industry. She was named one of 2021’s 25 Influential Women in Energy in recognition of her outstanding work to accelerate the adoption of data science to enable data-driven decision-making across the integrated oil and gas value chain.

Karthigan started her career at ExxonMobil over a decade ago and has since held various roles of increasing responsibility in the areas of strategic planning, project management, scientific computing, and data science. She currently leads the AI operations practice, which is focused on realizing self-healing strategies, and is also responsible for managing external relationships with multiple technical business partners.

We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.

We want to know how you feel about Me, Myself, and AI. Please take a short, two-question survey).