Trailblazing girls tech leaders took heart stage at this 12 months’s AWS re:Invent conference, showcasing groundbreaking developments in generative AI, cloud-native platforms and automation which might be remodeling the enterprise panorama.
From empowering builders to fixing international challenges, their improvements are driving operational effectivity, accelerating progress and fostering a collaborative future within the cloud.
“There may be by no means a time when lifting up and shining a lightweight on the numerous girls tech leaders who’re doing wonderful work will not be one among my most favourite issues, and I used to be thrilled to see that showcasing the success of ladies of the cloud was a transparent theme at this 12 months’s AWS re:Invent,” mentioned Shelly Kramer, principal analyst at theCUBE Analysis. “The info is obvious: Various, inclusive groups not solely do higher work, however in addition they ship higher outcomes for purchasers. I’m so honored to be part of this initiative.”
This text is a part of SiliconANGLE Media’s highlight on girls of the cloud. Be sure you atone for theCUBE’s analyst-led coverage of AWS re:Invent. (* Disclosure beneath.)
Ladies in tech drive AI and automation for enterprise modernization and innovation
Advances in AI and automation are reshaping how companies function, fostering innovation, driving effectivity and advancing digital operations. From incident administration options to scalable AI initiatives and cutting-edge instruments, women tech leaders are setting new requirements within the cloud.
PagerDuty Inc., an organization devoted to streamlining incident administration, leverages AI-driven options to deal with challenges in more and more complicated digital ecosystems. The corporate’s Operations Cloud and its generative AI assistant, PagerDuty Advance, display how the corporate embeds AI into workflows, enabling real-time incident decision and improved productiveness, based on Jennifer Tejada, chief government officer of PagerDuty.
AWS’ Mai-Lan Tomsen Bukovec talks with theCUBE Analysis’s Dave Vellante about AI-driven cloud innovation.
“We introduced this summer season PagerDuty Advance, which is our generative AI assistant,” she told theCUBE. “It’s beginning to take among the toil out of the arms of our builders by with the ability to let you know what prospects are impacted, what’s modified within the complexity of many deployments that occur over brief intervals of time. All these very fast, however high-fidelity solutions are actually out there actually simply and deeply built-in into chat experiences that our prospects love.”
For JPMorgan Chase & Co., scalable AI is a cornerstone of its steady modernization efforts. The monetary large employs superior AI methods to boost danger administration, operational effectivity and buyer satisfaction, based on Lori Beer, international chief info officer at JPMorgan. Generative AI functions enhance anomaly detection and sample evaluation, making certain the financial institution’s resilience in a posh worldwide market.
“Given the character of our enterprise, we run a globally, systemically essential financial institution,” Beer mentioned during an interview with theCUBE. “Now we have to handle liquidity. The quantity of danger calculations and issues we run frequently devour plenty of knowledge. Now we have examples proper now the place we’re utilizing anomaly detection and networking to assist proactively establish a swap which will doubtlessly fail. You may put gen AI on high of that and begin asking questions concerning the dynamics and the patterns of what’s taking place in your knowledge.”
AWS extends this progress by instruments corresponding to Amazon Q Developer, which simplifies legacy migrations, and S3 Tables, which optimize knowledge administration, based on Mai-Lan Tomsen Bukovec, vp of know-how at AWS. These applied sciences streamline legacy migrations, decreasing timelines and unlocking important efficiencies. For instance, Toyota Motor in North America leveraged Q Developer to modernize 40-year-old mainframe functions, considerably slicing timelines and enhancing operational workflows.
“They had been instructed it will take years and billions of {dollars},” Tomsen Bukovec told theCUBE. “What we’ve performed with Q is we’ve introduced AI to the desk; we’ve introduced AI to the staff. They mentioned that simply the definition of these COBOL modules, the documentation and the migration plan for them would’ve taken months. Now it’s all the way down to days.”
Ladies tech leaders pioneer AI breakthroughs in life sciences and compliance
From enhancing knowledge privateness and regulatory compliance to enhancing scalability, girls tech leaders within the life sciences and healthcare sectors are fixing important challenges by collaborative, AI-powered options.
Bio-Rad Laboratories Inc., in partnership with Persistent Methods Ltd., leverages AWS’ infrastructure, Amazon Q and generative AI to sort out the life sciences trade’s distinctive calls for. The collaboration focuses on designing options that stability compliance, knowledge privateness and operational effectivity, based on Jasmina Desai, affiliate director of software program structure and growth at Bio-Rad Laboratories.
“The life sciences trade is ruled by strict rules, together with [Health Insurance Portability and Accountability Act and General Data Protection Regulation], making knowledge privateness and compliance completely important,” Desai said in an interview with theCUBE. “On the onset of our venture, the highest precedence was to construct a safe, scalable surroundings able to managing delicate buyer knowledge with out sacrificing efficiency.”
AWS served as the inspiration of Bio-Rad’s cloud infrastructure, whereas Persistent performs a key position in tailoring AWS options to satisfy particular life sciences necessities. The collaboration started on the design section, making certain scalable, safe options with strong knowledge integrity, based on Desai.
“Whether or not it’s for shielding our prospects for knowledge privateness who belief us for his or her knowledge, utilizing HIPAA-eligible providers for compliance or making certain knowledge integrity, this partnership with AWS and Persistent has actually been impactful,” she mentioned.
Ladies in tech advance AI globally by regional experience and innovation
AI adoption is accelerating worldwide, however regional challenges require region-specific methods. Ladies tech leaders spearhead initiatives to beat these limitations, fostering innovation by AI-driven approaches tailor-made to native wants that replicate cultural, regulatory and technological range.

AWS’ Tanuja Randery talks with theCUBE concerning the tradition of AI adoption in Europe.
Amazon Internet Companies Inc. launched the European Sovereign Cloud in Europe, an impartial cloud resolution designed to address unique regional needs, based on Tanuja Randery, managing director of Europe, Center East and Africa at AWS. The corporate drives innovation and helps compliance by enabling AI adoption in native languages and serving to companies navigate complicated rules. The Sovereign Cloud additionally tackles key limitations, corresponding to an absence of digital expertise and slower adoption charges amongst small-to-medium firms in comparison with enterprises.
“Europe is sitting getting ready to a really unprecedented alternative,” Randery told theCUBE throughout an interview. “It’s an exceptional hub for AI and innovation. We did some analysis lately that reveals that we might unlock roughly 600 billion euros of financial worth simply by the applying of AI know-how. Whenever you couple that with the entire funding in cloud in digital applied sciences, that’s nearly a 3.2 trillion-euro alternative for that area.”
AWS has additionally labored with 18 startups throughout EMEA to deal with challenges starting from antibiotic-resistant micro organism to airline effectivity. These tasks display how localized innovation, supported by AI and the cloud, adjustments the sport for industries. By integrating massive language fashions in native languages, AWS democratizes AI, increasing accessibility throughout the area, Randery defined.
“One of many areas we [Europe] are notably distinctive … is language and tradition,” she mentioned. “We’ve been working with massive language fashions in native languages. A terrific instance is the Slovak mannequin that we’ve been engaged on … I feel taking the fashions [and] carry[ing] them into native language can even assist us get extra democratization of this know-how.”
Ladies tech leaders empower builders by cloud-native AI options
Developments in cloud-native platforms allow builders to construct and deploy functions with larger creativity and effectivity. Ladies tech leaders champion instruments that streamline workflows, elevate consumer experiences and combine AI-driven capabilities, reshaping growth practices.
Heroku, a Salesforce Inc. platform, has undergone a whole overhaul to ship a totally cloud-native expertise, based on Betty Junod, Heroku’s chief advertising and marketing officer at Salesforce. By integrating Kubernetes and OpenTelemetry, the platform now conforms to trendy cloud requirements. It maintains its signature simplicity, providing enhanced efficiency by options corresponding to Graviton and managed inferencing powered by Bedrock, all delivered with the identical easy consumer expertise.
“We replatformed, however the very best factor is the consumer expertise is strictly that straightforward, clear expertise that persons are used to,” Junod told theCUBE. “However they’re getting issues like Graviton efficiency, they’re getting [Elastic Kubernetes Service], [Engineering Change Request], International Accelerator. They’re getting managed inference powered by Bedrock … the identical expertise they love with simply extra horsepower and extra instruments round it.”

Salesforce’s Betty Junod talks with theCUBE about Heroku’s new choices.
Central to Heroku’s modernization is Agentforce, an AI-driven software designed to make app growth accessible to non-technical customers. By simplifying complicated processes and enabling automation by pure language capabilities, Agentforce allows companies to innovate and streamline operations, based on Junod.
“Whenever you have a look at the information staff on the market, we’re speaking a few billion folks,” she mentioned. “How do you empower non-technical folks to … automate these enterprise processes? I feel that is the place Salesforce, with your complete portfolio that we’ve got, is magic for companies as a result of we’ve got this nice no-code or low-code like [graphic user interface]-based workflow that anybody can use.”
Heroku’s modernization efforts additionally embrace open-sourcing its Twelve Factor venture rules, a framework for operating and deploying functions, based on Gail Frederick, Heroku’s chief know-how officer at Salesforce. The platform’s subsequent steps embrace making these instruments globally accessible and increasing its AI capabilities.
“Heroku’s platform is older than any cloud customary,” Frederick mentioned during an interview with theCUBE. “What we’ve got been doing is a complete overhaul in uplift to be conformant with cloud-native requirements. So, we’ve got a Kubernetes conformant management airplane. Our prospects are going to see the large scale that they’re used to with Heroku, with elevated efficiency.”
Try SiliconANGLE and theCUBE’s full protection of AWS re:Invent:
https://www.youtube.com/watch?v=videoseries
(* Disclosure: TheCUBE was a paid media associate for AWS re:Invent 2024. Neither Amazon Internet Companies, Inc. nor different sponsors have editorial management over content material on theCUBE or SiliconANGLE.)
Picture: SiliconANGLE/DALL-E
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