Smart analytics: Deep dive on roadmap - Build What's Next

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Explainer

Smart analytics: Deep dive on roadmap

Data across organizations is growing and that organizations need a very strong analytics platform to leverage this data create insights and make real-time decisions on top of this data.

That’s driving the advent of three large trends. First is the convergence of data lakes and data warehouses, that’s enable organizations to maximize the value of their data.

Second, is the growing phenomena of real-time decision-making which is forcing enterprises to think of how they can support the needs of batch processing and streaming data.

Finally, there is the rise of artificial intelligence and machine learning, which allows enterprises to leverage their data and create competitive differentiation.

With this background, Sudhir Hasbe, Director of Product Management, Data Analytics, Google Cloud, walks us through Google Cloud’s smart analytics offerings—and what’s new.

He takes us on a tour through the technical value of Google Cloud’s smart analytics platform end-to-end. He provides a comprehensive overview and demos what’s new and what’s next in Google Cloud’s smart analytics portfolio across products like BigQuery, Dataflow, Dataproc, Data Fusion, PubSub, Data Catalog, Dataprep, and Looker.

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8:00 Minutes

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Explainer

Hospitals Can Offer Interconnected Patient Experiences Using Google’s Natural Language Services

Machine Learning (ML) in healthcare helps extract data from conversations, medical records, forms, research reports, insurance claims and other documents across the care value-chain to help care providers have a holistic view of their patients to draw insights for diagnoses and treatments. With Natural Language Processing(NLP), healthcare organizations can program computers and systems to process and analyse large volumes of human communication in form of spoken texts, written documentation and utterances. Watch the video to learn how the healthcare community can leverage Google’s NLP services to process structured and unstructured data to offer interconnected experiences for patients.

Case Study

Candidate360: Google Cloud and Deloitte Product Improves Universities’ Enrollment and Admission Processes

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2:00 Minutes

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Candidate360, a product of Google Cloud and Deloitte pave way for universities and higher educational institutions to manage admissions and recruitment remotely. Michigan State University recently deployed a student enrollment strategy with Candidate360 that helped them achieve enrollment increase by over 20% and generate $5M in additional net tuition revenue in a single year. Read on to learn more about the solution's real-time and predictive insights gave the university an understanding of the enrollment pipeline as well as leverage AI and predictive analytics functionalities to optimze the overall process.

Given the May 1 deadline for students to enroll, colleges and universities have been carefully watching the numbers of students who put down deposits and commit to a school. Like nearly every other sector in the U.S., colleges and universities have been hit hard by the pandemic and economic downturn, making enrollment numbers more important than ever to maintain financial health and meet student body goals. Technology and AI-based models are providing a way for institutions to manage their admissions data efficiently and cost-effectively.

For example, an admissions officer may want to offset drops in international or out-of-state enrollment by attracting local talent so they can achieve their target class profile. Additionally, institutions have sought to increase the availability and access of higher ed and are intentionally recruiting more low-income and underrepresented populations. New technologies allow admissions officers to have a stronger grasp of the incoming class’ details. With the press of a button, users can switch between overall, in-state, out-of-state, and international enrollment figures. The “How Do Regions Compare to Last Year” tile lets users view the percentage of change and the total number of candidates by region, comparing 2020 and 2021 side-by-side. With access to data, regional recruiters can focus on individual candidates and develop a plan to change the numbers.

An innovative enrollment strategy at MSU

Michigan State University was looking to improve how they managed the recruiting process. They implemented an enrollment strategy that saw their out-of-state enrollment increase by over 20% and generate $5M in additional net tuition revenue in a single year. “We knew we needed better real-time and predictive insights about our enrollment pipeline, and we understood the value of bringing in external data on prospects, but we couldn’t do that by ourselves. 

The solution really helped us be innovative with our analytics and improve our enrollment outcomes,” said someone close to the project at Michigan State University.

Data-driven insights support informed enrollment decisions

Student admissions and marketing groups are turning to Google Cloud and Deloitte to help support their enrollment decisions with predictive, actionable insights across recruiting and admissions processes. The partnership resulted in Candidate360, a solution that helps institutions process and analyze large amounts of data and develop meaningful insights to support their enrollment goals and mission. Part of Google’s Student Success Services offerings, Candidate360 uses artificial intelligence and predictive analytics to help higher education institutions improve enrollment and matriculation, as well as optimize financial aid decisions.

With nine AI/ML models, Candidate360’s capabilities help university leaders, enrollment teams and recruiters do things like:

  • Identify regions with clusters of candidates or see dips in application numbers
  • Deploy marketing resources and admissions staff to the right geographic areas 
  • Understand applicants’ needs in terms of academics, safety, and social activities
  • Make intelligent financial aid decisions to recruit and retain talented students from underrepresented communities
  • Respond faster to the students who are most likely to be accepted and then go on to enroll, stay enrolled, and graduate
  • Work towards the ideal class composition and increase competitiveness with peer institutions

Enhancing the student experience

Enrollment is the first key touchpoint with incoming students, and tools like Candidate360 can help institutions build a student preferences profile throughout the application process. They can understand each student’s prospective major, areas of interest, dream job, and more, allowing colleges and universities to personalize recommendations and advising for enrolled students.

With integrated toolsets, Candidate360 and Google Cloud’s Student Success Services can help colleges and universities emerge from the pandemic stronger than ever. 

To see a demonstration of Candidate360 in action, contact our sales team. 

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Explainer

Data Leaders in 2021 and Beyond: How to Prepare

As technologies and workplace environments are quickly evolving, how people and businesses leverage data in their day-to-day workflow is also changing.

Data leaders are an emerging force navigating and charting pathways forward towards new horizons for how people and organizations experience data.

In this presentation, Pedro Arellano, Product Marketing Director, Looker, will cover three areas:

  • Underline that the value of data within an organization is no longer up for debate. Everybody needs data, and everybody’s job has the potential to be improved with data.
  • Three trends that will help put into context how we’ve arrived at this particular moment of such great potential for data.
  • Why data leaders, almost regardless of their title, are now in a position to really influence the direction of organization like never before.

Learn what’s guiding the thinking of data leaders in 2021 and beyond.

Explainer

Google’s Lesson on Leveraging AI and More to Optimize Cloud Value for Innovation

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Google has managed to stay ahead of the curve and demonstrate its ‘growth while staying innovative’ approach using advanced open technologies, AI/ML based analytics solutions, as well as tools for team collaboration and skill development, automation and storage security. Businesses too can achieve the same by deriving maximum value from its people and technology by following Google’s simple guide to stay innovative. Download to learn more.

Blog

Google Cloud Celebrates Journey of 3 Inspiring Founders for the Asian Pacific American Heritage Month

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Google Cloud celebrates diversity in leadership by recognizing the journey of the 3 founders of the Asia and Pacific Island (AAPI) heritage in building their business and leveraging Google's technology. Learn more.

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.

cp

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

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

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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