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TPUs Can Cut Deep Learning Costs by upto 80%—and Other Things You Didn’t Know About TPUs
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14:30 Minutes
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How AI Has Helped Enterprises Adapt Quickly to Moments of Change
The pandemic has clearly caused a tremendous amount of rapid change for businesses across industries and regions.
In this session, Michael Baldwin, Head of Product – Financial Services, Google Cloud speaks about ways that artificial intelligence has helped enterprises adapt to those changes.
He will cover trends that Google Cloud experts are witnessing as they work with enterprises and the impact those trends have on key industries.
Some of these include:
- Significant shifts in demand
- Increased cost pressures
- Supply chain uncertainty
- Spikes in customer support cases
- Virtual work for continuity of services
- Accelerated digital transformation
He then demonstrates, with specific examples, how AI can helpful in these moments of change.
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14:30 Minutes
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Overview of AI Notebooks on Google Cloud
Artificial intelligence and machine learning are one of the most disruptive technologies that enterprises have encountered in the last four or five years. And AI and ML will continue to disrupt enterprises going forward for the next 10 years.
The key to unlocking value with artificial intelligence starts with a model. And the simplest way to develop a model is to use notebooks, and within notebooks to use open source frameworks to develop AI models.
Notebooks are the go-to tool for data scientists to develop and deploy AI/ML models. In this overview video, Suds Narasimhan, Product Manager, Google Cloud, walks you through an overview of cloud AI notebooks, Google Cloud’s managed Jupyter lab notebook service for enterprises on the Google Cloud.
He explores how cloud AI notebooks can help enterprise data scientists explore data quickly and develop an AI and ML model and deploy it into production.
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20:30 Minutes
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How Visual Inspection AI Transforms the Manufacturing Industry
The pandemic has created demand volatility and has placed lots of pressure on manufacturers. Decreased demand for new products, the disruption of retail channels, and interruptions to supply chain operations have made it very challenging for manufacturers to operate profitable businesses.
This has left manufacturers keen to decrease costs and improve work efficiency by automating many of their work processes.
And many are discovering that visual inspection utilizing AI can help.
This video, hosted by Ying Fei, Product manager, Google Cloud and Sudhindra K Ghanathe, Industry Solutions Lead of Accenutre Google Business Group, Accenture, showcases how world-leading manufacturing companies use visual inspection AI to transform their business. Customers such as Siemens share how they use Google visual inspection AI to automate quality control process, achieve cost savings, and improve work efficiency.
Telegraph Media Group Creates More Marketing Opportunities With Google Cloud Platform
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2:01 Minutes
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London-based Telegraph Media Group is a multimedia news publisher with titles including The Daily Telegraph, The Sunday Telegraph, The Telegraph website and The Telegraph digital edition. The Daily Telegraph is the UK’s best-selling quality daily newspaper with a long-established history of over 160 years and is unique in having maintained its broadsheet format.
In order to support its advertising, subscriptions and ecommerce businesses, and better align advertisers with possible customers, Telegraph Media Group leverages an enterprise data warehouse to gain insights about its existing and potential subscriber base.
Analysis performed by the system helps the organization implement strategies designed to increase user engagement, boost ad impressions, drive conversions, determine optimal ad creative and support accurate planning and forecasting.
Traditionally, Telegraph Media Group had leveraged legacy technologies to run its enterprise data warehouse which was expensive and delayed timely access to actionable insights.
In an effort to modernize its platform, the organization tested a system running on Hadoop using an alternative cloud services provider, but found the solution cost prohibitive and challenging from a technology and operational perspective when producing results in real time.
Find out how using Google Cloud Platform benefitted the Telegraph Media Group.
Takeaways from Forrester’s Cloud Data Warehouse Q1 2021 Report
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20:00 Minutes
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Cloud data warehouse (CDW) solutions have transformed the delivery of modern analytics and are known to have the capabilities to provision data warehouse of any size in a matter of minutes, autotune queries, scale resources including compute and storage on demand and auto-upgrade to the latest version. As the need for integrated, real-time and self-service analytics scale, CDW vendors continue to focus on native integration with data lakes and object stores; self-service to simplify access and administration for larger and more complex warehouses; and advanced capabilities on parallel processing, compression, partitioning, indexing, query optimization, and dynamic resource provisioning. The most common CDW use cases include customer analytics, AI/machine learning (ML)-based analytics, vertical-specific analytics, and real-time analytics. Customers that are looking to select a CDW vendor need to consider couple of factors.
Download the report learn more 13 leading CDW providers in the Forrester Wave: Cloud Data Warehouse, Q1 2021 report and also explore Google Cloud’s BigQuery for data warehousing.
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