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Breakthrough Insights Across the Life Sciences Value Chain
New science and patient centricity require increasing reliance on data and deeper insights.
Accenture’s life sciences customers have been demanding answers to this need, and want a solution with an open platform.
Enter INTIENT, Accenture’s life sciences platform that is powered by Google Cloud.
INTIENT generates insights throughout the life sciences value chain from early research through pivotal clinical trials all the way through to delivering care to patients.
In this video, Kevin Julian, Senior Managing Director, Life Sciences, Accenture and Michael Stapleton, Senior Industry Executive, Accenture, discuss enables ground-breaking possibilities through applied intelligence, including the development of personalized therapeutics tailored to a patient’s genetic makeup, the utilization of real world data/evidence in clinical trials, better identification of patients for trials, development of digital therapeutics, and improved patient outcomes — in other words, better regimen adherence.
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2:50 Minutes
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FedEx Ground Makes Talent Recruitment More Effective with AI
FedEx Ground is a package shipping company and is a subsidiary of FedEx. It wanted to make hiring easier, and more intuitive so that it could hire the best people.
“We need to have every advantage we can to recruit and retain talent. That’s what led us to the work with Google and its capabilities,” says Matt Tokorcheck, VP, Operations, Support and Engineering, FedEx Ground
The challenge was the narrow slotting of job roles. The openings were listed under specific headings which revolved around job types or departments–and if applicants didn’t fit or understand those categories, they didn’t apply.
Take, for example, applicants that came from the military. “Many of my fellow service members and veterans expressed difficulty in finding a job post the military because a lot of the skill sets that they’ve developed and honed over their military career aren’t as useful in the civilian world,” says David Henderson, Industrial Engineer, FedEx.
So FedEx Ground decided to work with Google Cloud’s AI-powered talent solution.
“As a job seeker when you come to our career site to search for jobs, that search is powered by Jibe and the Google Jobs API. And it really matches the keywords that a job seeker inputs with the jobs that are available at FedEx Ground, says Shailesh Bokil, MD, Talent Acquisition and Planning, Fedx Ground.

This makes job hunting a very intuitive experience for applicants.
“When I type into the search bar, I was immediately prompted to input my MOS, which is your military occupational specialty. And what it (the system) does is it takes the skills that are developed while serving in that MOS0 and matches them with skill sets that employers are looking. When I input 12A (an MOS), immediately I was getting results back for various engineer positions.
To find out more about how FedEx Ground employs AI-powered talent solution, watch the video.
Google Cloud Celebrates Journey of 3 Inspiring Founders for the Asian Pacific American Heritage Month

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1:30 Minutes
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May is Asian Pacific American Heritage Month —a time for us to come together to celebrate and remember the important people and history of Asian and Pacific Island heritage. This feature highlights three AAPI founders from the Google For Startups community.
Read on to learn how these three founders built their businesses, leverage Google tech, and suggestion they have for aspiring entrepreneurs.

CultivatePeople
Founder: Lola Han
Description: CultivatePeople’s compensation software, Kamsa, provides global market pay rate data and helps companies make data-driven salary decisions so they can attract and retain their most valuable asset: employees.
Why GCP: “CultivatePeople began using GCP when integrating SSO/SAML authentication after our SaaS product became a high priority. We were able to exceed our clients’ expectations and increase their level of trust in our platform’s capabilities. We’re currently investigating additional machine learning products, such as Cloud AutoML, that will allow us to quickly deliver exciting features.”
Note from the Founder: “I grew up with immigrant parents who value stability and are risk-averse. My parents discouraged me from starting my own company because they didn’t want to see me struggle financially or see my health suffer (due to stress). I felt strongly about what CultivatePeople could do, so I started the company as a sole founder in 2017 and watched it double in size year over year since. While the ones I love most may not have cheered me on initially, it was important for me to hang on to the encouraging words of former bosses, executives, and founders to keep me focused on my mission.
My advice for other AAPI founders is to be a “silent assassin” and believe in the mission and values of your organization. Always remember to stop along the way and:
1) Enjoy the journey by celebrating wins and giving yourself credit;
2) Follow your intuition—it’s (almost) always right;
3) Recognize and invest in your people regularly (ie. give increases more than once a year, if warranted);
4) Give regular words of affirmation to employees on even small achievements.”

Swit
Founder: Josh Lee and Max Lim
Description: Swit is a team collaboration platform that seamlessly combines team chat with task management by allowing teams to turn their conversations into trackable tasks and share tasks to chat with simple drag-and-drop functionality, ensuring everyone is on the same page and projects get done faster.
Why GCP: “Swit is a cross-category hybrid work tool for chat and tasks. This functionality requires more complicated and heavier architecture for performance. So, configuring and managing virtual machines was really challenging to scale up our systems, while handling occasional unexpected traffic surges and frequent updates. Eventually we divided our monolithic architecture into 35 microservices when we launched our official product. The migration to GKE took around one month, and it turned out to be well worth the effort—our systems became able to offer high scalability and enough resilience to keep its uptime no matter what happened. Now we’re operating 84 workloads and 252 microservices with high stability with remarkably low downtime – less than 0.00001%/year.”
Note from the Founder: “As an AAPI founder based in Silicon Valley, I feel proud of the work ethics and diligence fellow Korean American entrepreneurs and professionals have long demonstrated here. Especially with K-pop breaking into the mainstream, I feel even more proud of our culture that strives toward an absolute perfection molded through years of training and dedication. The mission-driven culture of Silicon Valley coupled with Google’s edging technology and creativity really helped us build a product that not only encompasses verticals but also transcends cultures. Swit is growing at an unprecedented rate, and we hope to join the long list of successful AAPI entrepreneurs here. Swit’s close network with the AAPI community wouldn’t have been possible without Google support. We are grateful for this collaborative environment, and we hope to become the next-generation ambassador for collaboration after Google.”
Check out more from Swit in their founder story.

WISY
Founder: Min Chen
Description: Wisy develops technology to bring digital efficiency into the physical world, supporting consumer products businesses and making them thrive in the new economy. All of us have a bad experience when we can’t find the product we want to buy. That is a $1.9T problem in the consumer-packaged goods industry that Wisy is solving with AI and analytics to help manufacturers and retailers sell more by reducing out-of-stocks and waste at a global scale.
Why GCP: “GCP has an intuitive, easy to use interface, was lower cost, and offered preemptible instances with flexible compute options. Some of the reasons why Wisy decided to use GCP include instance and payment configurability, privacy and traffic security, cost-efficiency, and Machine Learning.
Wisy has been able to advance quickly with product development, as well as collaborate better and iterate faster in the creation of our AI models, while reducing costs by 40%. At Wisy, we are solving a problem that affects everyone who shops at a store.“
Note from the Founder: “Two years ago, I moved to San Francisco to expand my second startup, Wisy. This is when I learned that my name ‘Min’ stands for ‘minority.’ I was born in China, raised in a Black community in Panama, received scholarships to attend both Carnegie Mellon and UC Berkeley. I worked for 20 years in several countries, but I have never felt so discriminated against due to my race, ethnicity, gender and age than during my time in Silicon Valley. However, this is also the place I learned that my diverse life experience is my competitive advantage. My background enables me to recruit and relate to people in different countries, create scalable and flexible products for multinational customers, and run global operations efficiently.
My recommendation to AAPI founders is to find strength in their multicultural background. Don’t hide what makes you unique, do not limit yourselves, and do not let others limit you. You will lose your edge when trading authenticity for validation. Be proud and own your story.”
If you want to learn more about how Google Cloud can help your startup, visit our Startup Program application page here and sign up for our monthly startup newsletter to get a peek at our community activities, digital events, special offers, and more.To learn more about how you can help #StopAsianHate during Asian Pacific American Heritage Month and beyond, visit their website here.
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14:00 Minutes
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Productionizing TensorFlow on Google Cloud with TensorFlow Enterprise
Machine learning is transforming every aspect of our lives and developers and enterprises are using ML to build impactful solutions that drive business value.
TensorFlow is one of the most widely used production-ready frameworks for machine learning and it’s open-sourced by Google so that everyone can take advantage of these powerful tools.
But if you are an enterprise trying to use ML there are some challenges you may face.
To address the needs of AI-enabled businesses, Google recently introduced TensorFlow Enterprise. It incorporates enterprise-grade support, cloud scale performance, and Google Cloud-managed services.
Watch Sandeep Gupta, Product Manager, TensorFlow, to learn how to get started and why the best way for businesses to experience TensorFlow is with TensorFlow Enterprise.
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21:10 Minutes
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Learn Modern App Development Practices to Ship Software Faster
Cloud-native, Kubernetes, Serverless have been the hottest and most widely discussed topics given the velocity and agility benefits.
Learn more about how you can leverage these modern app development practices to ship software faster, while reducing costs and improving security and compliance.
Learn how Google Cloud lets you modernize existing applications at your own pace using these technologies. Regardless of where you are in your app modernization journey, watch this video to learn how to improve the developer experience and deliver software faster.

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AI-as-a-Service is Here. It’s Really Almost Plug-and-Play
New science and patient centricity require increasing reliance on data and deeper insights.
Accenture’s life sciences customers have been demanding answers to this need, and want a solution with an open platform.
Enter INTIENT, Accenture’s life sciences platform that is powered by Google Cloud.
INTIENT generates insights throughout the life sciences value chain from early research through pivotal clinical trials all the way through to delivering care to patients.
In this video, Kevin Julian, Senior Managing Director, Life Sciences, Accenture and Michael Stapleton, Senior Industry Executive, Accenture, discuss enables ground-breaking possibilities through applied intelligence, including the development of personalized therapeutics tailored to a patient’s genetic makeup, the utilization of real world data/evidence in clinical trials, better identification of patients for trials, development of digital therapeutics, and improved patient outcomes — in other words, better regimen adherence.
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