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Google’s Lesson on Leveraging AI and More to Optimize Cloud Value for Innovation
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1:30 Minutes
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32:30 Minutes
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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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24:00 Minutes
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New Capabilities in Google Cloud Dataprep: A Must-Read for Data Teams
In this video, Bertrand Cariou, Sr. Director Product Marketing, Trifacta and Sean Ma, Sr. Director, Product Management, Trifacta take a deep dive into new capabilities for Cloud Dataprep.
They walk us through several new features to enable a wider range of use cases with Cloud Dataprep; and, major enhancements to existing features asked for by enterprises.
Some of the new capabilities include:
- New connectivity with Google Sheets, Microsoft Excel, Oracle, SQL Server, DB2, and Salesforce
- New Data Pipeline Orchestration & Alerting
- Advanced Performance Optimization
- Fine Grain Data Access through OAuth
The walkthrough will also host a demonstration that exemplifies the new capabilities in the product itself.
Finally, Bertrand and Sean show an end-to-end data pipeline example that connects diverse data sources from multiple flows into a sequence that can be designed in Cloud Dataprep and integrated with Cloud Functions.
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10:30 Minutes
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Modernizing your data warehouse is one way to keep up with evolving business requirements and harness new technology. For many companies, cloud data warehousing offers a fast, flexible, and cost-effective alternative to traditional on-premises solutions.
In a report sponsored by Google Cloud, TDWI examines the rise of cloud-based data warehouses and identifies associated opportunities, benefits, and best practices.
Featuring strategic advice from Google experts, it answers questions such as:
- What’s driving businesses to consider the cloud for their data warehousing strategy?
- What are the advantages of a cloud-native data warehouse?
- How can you coordinate data warehouse modernization with other modernization projects?
- What’s the first step in migrating your data warehouse to the cloud?
- How will cloud data warehousing affect your business’s security posture?
Download the complete report to learn more about cloud data warehousing and how it can help your business transform with the times — and prepare for the future.
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2:30 Minutes
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How Can an IT Manager Get into the Machine Learning Game?
It’s a rare technology forecast that doesn’t include machine learning and AI. But for IT managers these technologies can seem like a world away. This can be worrying for many IT managers who feel like they are being left out of the future.
It needn’t be this way.
One of the largest challenges data scientists and analysts face when undertaking a big data or a machine learning initiative is cleaning and preparing data. Some estimate that data scientists spend up to 80% of their time wrangling with data so that it can be used.
This space is primed for IT managers. With tools like Google Dataprep, IT managers can get into the machine learning and big data space and simultaneously fill a deeply-felt business need.
With tools like Google Dataprep, IT managers can help data teams clean and prepare structured and unstructured data and have it ready for analysis. It’s a browser-based service, with user-friendly drag-and-drop interface. It automatically detects mis-matched data, and predicts transformation you might need.
See how easy it is to use Google Dataprep. Watch this short video.
How Ather Energy is leveraging the Cloud to build and scale smart mobility solutions for India
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8:30 Minutes
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In 2013, long before the world was discussing clean energy and sustainable practices, two IIT Madras graduates — Swapnil Jain and Tarun Mehta — had an idea to develop India’s first-ever electrical scooter.
This was at a time when auto manufacturers were still focusing on fossil-fuel-driven vehicles and ‘eco-friendly’ mobility solutions were more a trendy alternative catering to a niche market.
The duo founded Ather Energy in 2013 and launched their first fully-electric scooter, the Ather S340, in Bengaluru in 2016. Since then, the company has released several new models into the market and is planning to expand to eight more cities by the end of the year.
To support the smooth running of their vehicles, lower costs, improve time to market, and create great customer experience, Ather turned to Google Cloud.
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