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19:30 Minutes
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How to Manage Data Governance, at Scale, in a Multi-cloud World
Fears around security, data loss and regulatory compliance are still some of the largest reasons holding back enterprises from embracing the cloud.
In a hybrid or multi-cloud paradigm, how do you avoid data access bottlenecks, security blindspots, data leakage, or missed opportunities? Restricting access to data and tightening data security, if done haphazardly, can quickly slow down innovation or decision-making support. Conversely, liberating all data can quickly result in liability issues.
There is a fine balance, an art, to leveraging data governance as a business driver. Imagine discovering and gaining access to what you don’t already know, turning your data intranet into a privacy-sensitive data internet.
In this video, Evren Eryurek, Director, Product Management, Google Cloud; and Jim Cushman, Chief Product Officer, Collibra, show how the partnership between Google Cloud and Collibra opens the aperture for enacting a successful data governance strategy at scale, no matter where your data resides.
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Accelerating Insights with the Health Analytics Platform
The healthcare industry is beset with a data challenge, specifically clinical data, and challenges around the proliferation of EHR instances and ancillary clinical systems.
In this video, Vivian Neilley, Solution Architect, Google Cloud and Marianne Slight, Product Manager, Google Cloud discuss how some of these challenges can be overcome with the Health Analytics Platform.
The Health Analytics Platform enables companies who have healthcare data in multiple sources on their own infrastructure to harmonize data across systems, monitor analytics, and create compelling visualizations that enable easier decision-making.
This new product suite allows for healthcare and life science organizations to manage data pipelines and run advanced analytics on managed infrastructure with interactive UIs and health data-aware features.
The Health Analytics Platform provides and end-to-end solution, from ingestion of data to harmonization to a common data model, to dashboard visualizations and machine learning.
Whether organizations leverage a data lake or are utilizing a full data warehouse approach, the platform gives users the flexibility to meet customers where they are today. This session will demonstrate how to leverage the health analytics platform to accelerate time to insights in a healthcare or life sciences organization.
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Swarovski’s Journey towards Online and Offline Conversion with Predictive Analytics
Luxury brand and leader in crystals and glass production, Swarovski has charmed customers with its exquisite collections for over 125 years. To understand their customers better and map their online behaviors, Swarovski had to overcome prediction hurdles as majority of the purchases are not frequent or habitual. They are mostly impulse buys or have no rational behind the purchase in order for the brand to accurately map customers’ interest and delight them with relevant personalization or website customization strategy.
Swarovski used a machine learning (ML) model to predict the most performing SKUs and list of products based on both online and offline indicators to target buyers. A score was assigned to each product in the list and was personalized at the country level that delivered relevant insights. Swarovski is aiming to expand the product listing page to personalize at customer level. Watch the video to dive deep into Swarovski’s data analytics efforts to answer complex questions, reporting and prediction using both online and offline data.
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Easy Access to Stream Analytics with Google Cloud
By 2025, more than a quarter of the data created in the global datasphere will be real-time in nature.
“This is important because in the real-time world, “the window of opportunity diminishes and goes away really fast. You want to be able to respond to your customer needs, their asks, and be able to do prediction or maybe detect some problem and really respond to it really fast,” says Evren Eryurek, Director of Product Management for Stream Analytics at Google Cloud.
Today, streaming analysis of application and user events only continue to become more central to how every business operates. With this development comes an accompanying rise in customer expectations for businesses to be aware, prepared, and delivering real-time solutions. Is your business ready?
In this session, Eryurek will showcase Google Cloud’s latest developments to enable easy access to creation and management of real-time data driven experiences.
Learn the latest about the products powering Google’s streaming capabilities and hear directly from the team bringing them to life.
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20:30 Minutes
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These business and technology innovators are leveraging cloud computing, machine learning, APIs, collaborative platforms, among others to advance healthcare, financial services, retail, media and entertainment, manufacturing, and government.
They include some of the biggest brands in the world, as well as some you’ve probably never heard of. But they all have one thing in common: They are astounding in their idea, scope and execution.
Every story has a short–and a longer–version. Scan through them and choose to dive deeper into stories that reflect challenges that your company or your industry is facing. You’ll find solutions to problems you previously thought impossible to solve.
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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