How women tech leaders drive AI, automation and cloud innovation

Trailblazing ladies tech leaders took heart stage at this yr’s AWS re:Invent convention, showcasing groundbreaking developments in generative AI, cloud-native platforms and automation which can be remodeling the enterprise panorama.

From empowering builders to fixing world 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 light-weight on the various ladies tech leaders who’re doing superb work is just not 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 yr’s AWS re:Invent,” mentioned Shelly Kramer, principal analyst at theCUBE Analysis. “The information is obvious: Numerous, 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 ladies of the cloud. You should definitely compensate for theCUBE’s analyst-led protection of AWS re:Invent. (* Disclosure under.)

Girls 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, ladies tech leaders are setting new requirements within the cloud.

PagerDuty Inc., an organization devoted to streamlining incident administration, leverages AI-driven options to handle challenges in more and more advanced digital ecosystems. The corporate’s Operations Cloud and its generative AI assistant, PagerDuty Advance, exhibit 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 instructed theCUBE. “It’s beginning to take a few of the toil out of the fingers of our builders by with the ability to inform you what clients 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 obtainable actually simply and deeply built-in into chat experiences that our clients love.”

For JPMorgan Chase & Co., scalable AI is a cornerstone of its steady modernization efforts. The monetary large employs superior AI strategies to boost threat administration, operational effectivity and buyer satisfaction, based on Lori Beer, world chief data officer at JPMorgan. Generative AI functions enhance anomaly detection and sample evaluation, making certain the financial institution’s resilience in a fancy worldwide market.

“Given the character of our enterprise, we run a globally, systemically vital financial institution,” Beer mentioned throughout an interview with theCUBE. “Now we have to handle liquidity. The quantity of threat calculations and issues we run regularly devour numerous knowledge. Now we have examples proper now the place we’re utilizing anomaly detection and networking to assist proactively establish a change 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 via instruments reminiscent of 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, lowering timelines and unlocking crucial 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 might take years and billions of {dollars},” Tomsen Bukovec instructed theCUBE. “What we’ve carried out with Q is we’ve introduced AI to the desk; we’ve introduced AI to the workforce. 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 right down to days.”

Girls tech leaders pioneer AI breakthroughs in life sciences and compliance

From enhancing knowledge privateness and regulatory compliance to enhancing scalability, ladies tech leaders within the life sciences and healthcare sectors are fixing crucial challenges via collaborative, AI-powered options.

Bio-Rad Laboratories Inc., in partnership with Persistent Programs Ltd., leverages AWS’ infrastructure, Amazon Q and generative AI to deal with the life sciences trade’s distinctive calls for. The collaboration focuses on designing options that steadiness compliance, knowledge privateness and operational effectivity, based on Jasmina Desai, affiliate director of software program structure and improvement at Bio-Rad Laboratories.

“The life sciences trade is ruled by strict laws, together with [Health Insurance Portability and Accountability Act and General Data Protection Regulation], making knowledge privateness and compliance completely crucial,” Desai mentioned in an interview with theCUBE. “On the onset of our challenge, the highest precedence was to construct a safe, scalable setting 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 part, making certain scalable, safe options with strong knowledge integrity, based on Desai.

“Whether or not it’s for shielding our clients for knowledge privateness who belief us for his or her knowledge, utilizing HIPAA-eligible companies for compliance or making certain knowledge integrity, this partnership with AWS and Persistent has actually been impactful,” she mentioned.

Girls in tech advance AI globally via regional experience and innovation

AI adoption is accelerating worldwide, however regional challenges require region-specific methods. Girls tech leaders spearhead initiatives to beat these obstacles, fostering innovation via AI-driven approaches tailor-made to native wants that mirror cultural, regulatory and technological range.

AWS’ Tanuja Randery talks with theCUBE concerning the tradition of AI adoption in Europe.

Amazon Net Providers Inc. launched the European Sovereign Cloud in Europe, an unbiased cloud resolution designed to handle distinctive regional wants, 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 advanced laws. The Sovereign Cloud additionally tackles key obstacles, reminiscent of an absence of digital expertise and slower adoption charges amongst small-to-medium corporations in comparison with enterprises.

“Europe is sitting getting ready to a really unprecedented alternative,” Randery instructed theCUBE throughout an interview. “It’s an outstanding hub for AI and innovation. We did some analysis not too long ago that reveals that we might unlock roughly 600 billion euros of financial worth simply via the appliance of AI know-how. Once you couple that with the full funding in cloud in digital applied sciences, that’s virtually a 3.2 trillion-euro alternative for that area.”

AWS has additionally labored with 18 startups throughout EMEA to handle challenges starting from antibiotic-resistant micro organism to airline effectivity. These initiatives exhibit 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 significantly distinctive … is language and tradition,” she mentioned. “We’ve been working with massive language fashions in native languages. An awesome instance is the Slovak mannequin that we’ve been engaged on … I feel taking the fashions [and] deliver[ing] them into native language may even assist us get extra democratization of this know-how.”

Girls tech leaders empower builders via cloud-native AI options

Developments in cloud-native platforms allow builders to construct and deploy functions with larger creativity and effectivity. Girls tech leaders champion instruments that streamline workflows, elevate consumer experiences and combine AI-driven capabilities, reshaping improvement practices.

Heroku, a Salesforce Inc. platform, has undergone an entire overhaul to ship a completely cloud-native expertise, based on Betty Junod, Heroku’s chief advertising officer at Salesforce. By integrating Kubernetes and OpenTelemetry, the platform now conforms to fashionable cloud requirements. It maintains its signature simplicity, providing enhanced efficiency via options reminiscent of Graviton and managed inferencing powered by Bedrock, all delivered with the identical easy consumer expertise.

“We replatformed, however the perfect factor is the consumer expertise is strictly that easy, clear expertise that persons are used to,” Junod instructed theCUBE. “However they’re getting issues like Graviton efficiency, they’re getting [Elastic Kubernetes Service], [Engineering Change Request], World 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 instrument designed to make app improvement accessible to non-technical customers. By simplifying advanced processes and enabling automation via pure language capabilities, Agentforce permits companies to innovate and streamline operations, based on Junod.

“Once you have a look at the data 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 the whole portfolio that we’ve, is magic for companies as a result of we’ve 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 Issue challenge ideas, 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 commonplace,” Frederick mentioned throughout an interview with theCUBE. “What we’ve been doing is a complete overhaul in uplift to be conformant with cloud-native requirements. So, we’ve a Kubernetes conformant management aircraft. Our clients are going to see the large scale that they’re used to with Heroku, with elevated efficiency.”

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(* Disclosure: TheCUBE was a paid media associate for AWS re:Invent 2024. Neither Amazon Net Providers, Inc. nor different sponsors have editorial management over content material on theCUBE or SiliconANGLE.)

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