Name: How to do demand forecasting with BigQuery ML
Start: 2021-05-11T16:00:00Z
End: 2021-05-11T16:00:37.000Z
Location: BrightTALK
Rating: 0

Google Cloud Platform enables developers to build, test and deploy applications on Google’s highly-scalable and reliable infrastructure. Choose from computing, storage and application services for your web, mobile and backend solutions.

Data lakes are a powerful way to bring together diverse data sources and enable data-driven insights. Google’s Cloud Storage helps you build a data lake that is scalable, secure, and cost-effective. Hear directly from Flipkart on how they are running data intensive workloads, leveraging an ecosystem of services from Google analytics services like BigQuery to managed open source services like Dataproc. Learn how Databricks can assist you in building data lakes on Google’sCloud Storage.

Cloud storage infrastructure optimized for your data-intensive workloads

Join this session to learn about Google Cloud's high performance computing (HPC) solutions for important workloads like computational fluid dynamics, drug discovery, financial risk analysis, and more. You will also hear exciting new announcements across infrastructure and tooling, see how Google Cloud allows the most challenging HPC workloads to run well, and learn how Google’s customers deploy their most challenging and critical HPC and AI/ML workloads on Google Cloud.

How high performance computing workloads are thriving on Google Cloud

Plan, migrate, and deploy your mission-critical SAP workloads on Google Cloud’s highly available, secure, and scalable certified infrastructure. In this technical session, learn how our customers use SAP-specific tools and infrastructure to deploy the ideal SAP application infrastructure based on proven best practices. Post-deployment, learn how customers use Google Cloud’s SAP-optimized workload management tools to ensure smooth, efficient operations of and continuously high availability for their SAP applications.

Accelerate innovation with SAP on Google Cloud

Large-scale cloud migrations, done well, are more than a technical exercise. They require large organizations to think through their people, process, and culture alongside the technical changes. In this session, Google Cloud VP of Migrations & GenAI Partnerships Stephen Orban will sit down with Joe DiFonzo, CIO of Sabre, for a live fireside chat on the best practices (both technical and non-technical) we've learned make migrations successful, and how Sabre applied them to their data center migrations. We'll also provide an update on all the latest and greatest migration technologies and programs offered by Google Cloud. If a migration is on your radar, this is 'must-see TV'.

How Sabre migrated their apps and data centers to Google Cloud

Traditionally, object and block formats dominated cloud storage adoption. Now, cloud file storage is our newest contender.  

According to recent IDC estimates—indicates Dave McCarthy, Research VP of Cloud and Edge Infrastructure Services at IDC—analysts predict the cloud file storage market to grow 26.4% over the next five years, driven by application migrations and the performance needs necessitated by democratized analytics and AI. 

NetApp Cloud Volumes for Google Cloud offers one means of procuring this cloud-native, scalable performance. To evaluate its efficacy, driven by real-world use cases and customers, IDC conducted an in-depth study of the solution.

Key into the results of IDC’s study, as well as further cloud storage trends, in this webinar, featuring:
• Chris Pullam, Content Strategist at CIO Marketing Services
• Dave McCarthy, Research VP of Cloud and Edge Infrastructure Services at IDC
• Geoff Tudor, Sr. Director of Hyperscaler Cloud Solutions at NetApp
• Sean Derrington, Group PM Storage, Google Cloud at Google

Third-party Evaluation and Business Value of NetApp & Google Cloud

New IDC research quantifies the significant business value for organizations using Google Cloud IaaS for enterprise applications. This fireside chat will discuss the results and provide guidance on accelerating infrastructure modernization to capture more value. Speakers include Dave McCarthy (IDC), Priyanka Vergadia (Google Cloud), and Rob O'Regan (Foundry).

Extracting More Business Value from Cloud Infrastructure

Come join the webinar as Stephen Catanzano, Senior Analyst, discusses Egnyte on Google Cloud as a cloud-based data governance solution with Ramin Farrsat, Chief Product Officer from Egnyte. Enterprise Strategy Group research shows that a majority of organizations are at risk, which can lead to financial, operational, and reputational damage. The growth in data sources, data users, use of multiple clouds, and data silos are making data governance an overwhelming task but immediately simplified by Egnyte. Come learn how.

What you will learn:

• The challenges and risks of not have rock solid data governance.
• How Egnyte delivers a single centralized content repository for content collaboration
• Egnyte’s ability to provide centralized data security and compliance in Google Cloud and wherever your data is.

Cloud-Based Data Governance with Egnyte and Google Cloud

Increasingly, ESG (environment, social, and governance) compliance initiatives are becoming commonplace across the developed world.  Sustainability has emerged as a critical business goal, with organizations recognizing the importance of measuring and minimizing their environmental footprint while maximizing their positive impact for all stake holders. Google has released Google Earth Engine, to help commercial organizations unlock enormous archives of environmental data so that they can model, replay, and monitor changes in the surface of the Earth at any scale – forests, oceans, global supply chains – to help business quantify the impact these Earth changes may have on their business… and vice versa.
Topics planned to cover:
• The state of ESG and sustainability initiatives in enterprise organizations.
• The challenges of and positive impacts of ESG initiatives on enterprises – expected and actual outcomes.
• Introduction to Google Earth Engine and use cases in business.
• How NGIS and SADA enable organizations in their regions to take full advantage of the capabilities available in Google Earth Engine.

Data Driven Sustainability with Google Earth Engine, NGIS & SADA

Cloud-native infrastructure and composable commerce: The future of modern ecommerce experiences explained The global growth in digital commerce is arguably one of the most exciting opportunities retailers and brands have been able to harness in a long time. Google Cloud’s retail customers saw more online traffic in the first six months of 2022 than in all 2019 combined. However, many brands still struggle to keep pace and as eCommerce volume keeps growing, retailers need to keep up with this pace to avoid shoppers reaching a 404 error page when browsing for products. 

commercetools and Google Cloud experts give an overview of cloud-native and composable commerce to capitalize on online sales surges with automatic scaling. You will learn:

 • The benefits of using commercetools with Google Cloud, such as elastic scalability, ironclad security and commercial integration with Google Cloud Marketplace. 
• How to take advantage of best-of-breed building blocks such as search, cart and checkout and “compose” them according to your needs. 
• Success stories of retailers and brands that have leveraged cloud-native infrastructure and composable commerce to manage holiday surges and more.

Cloud-native infrastructure and composable commerce

Google Cloud and Forrester break down cloud migration and modernization benefits
Join us for a deep dive of the State of Public Cloud Migration to learn key findings and cloud migration successes achieved by global organizations in 2022.

With the acceleration of cloud migration planning and execution, many organizations have moved past the early stages to begin unlocking their IT and business benefits. These are achieved primarily during post-migration cloud adoption and optimization by truly modernizing their infrastructure with cloud.

Business leaders who accelerated their cloud migration earlier are now reaping those benefits. In its recent State Of Public Cloud Migration report, Forrester shared some key findings. This included insights on how IT decision-makers are amplifying their cloud benefits by:
Prioritizing essential factors while selecting their cloud vendor
Optimizing what’s already been migrated and migrating more advanced systems 
Opening new possibilities with cloud to discover transformative solutions and deliver new business value 
Join us in this webinar for an exciting chat between Forrester and Google Cloud experts and learn how to streamline your cloud migration journey in the new year.

The State Of Public Cloud Migration

In a challenging retail environment, accelerating innovation is vital to capturing customer loyalty, while optimizing revenue growth and cost reduction. In this webinar, ESG and experts from commercetools, Google Cloud, and MongoDB share effective approaches to how retailer DevOps teams can experiment and create innovative shopping experiences that differentiate a retailer from their competitors much faster.

How Retail DevOps Capture and Retain Customers with Data Analytics

Google Cloud is the innovation platform for connected, accessible and intelligent data & analytics in a multi-cloud environment. Powered by Google Ai & ML - enhancing SAP's capabilities. We are able to make sense of huge volumes of data, typically siloed within multiple disparate sources inside and outside the organization. Marketing and consumer data do not always connect to the enterprise data. By tying this data together and enriching it, we are able to improve insights and forecasts that help them meet market demands and disruptions more efficiently.

This is why Google and SAP, together, can unlock agility and business value together.

Giusy Buonfantino, Vice President of Consumer-Packaged Goods at Google Cloud, and Harris Fogel, Global Vice President of Consumer Packaged Goods at SAP, Stephen Catanzano, Senior Analyst ESG

Transforming to an Intelligent Sustainable Enterprise

How can you enable your organization to source raw materials responsibly? What are the key challenges of a data-driven approach to sustainability?

Tap into this webcast to hear from industry experts on how Google Cloud partners are implementing enterprise sustainability solutions.

Implementing enterprise sustainability solutions with Google Cloud

The importance of data is a given in today’s digital-first landscape, but it remains a real challenge for organizations to access the full value of this resource. Many companies are producing more data than they can practically organize and analyze, while others are overwhelmed with disparate platforms and infrastructures. Without a centralized view, it is easy to fall prey to fragmentation and silos. With the right data cloud platform, however, organizations will be able to reduce operational complexity and take advantage of functionality like autoscaling and intelligent financial ops.

Increasingly, data is being used to enhance external focuses, like customer experience and the customer journey. Through the organization and analysis of customer data, companies unlock the ability to personalize their consumer engagements, leverage AI and also optimize operational efficiency — but only if they have a cloud partner that can scale with them and function across a distributed workload. With Google Cloud, customers can also leverage other integrated data products to extract as much value as possible, in an efficient and flexible way.

In this webinar from Google Cloud and ESG, industry experts will discuss what a truly optimized data strategy looks like, why companies are getting it wrong and how to realize that within your own organization. 

Tune in to hear more about:
— How business objectives are evolving as companies gain momentum with data
— Why data complexity doesn’t need to come at the expense of business agility
— How to leverage multiple managed services and vendors for maximized performance
— And more

The Sky's the Limit: Using Data Clouds to Unlock Data’s Full Potential

Access to data has become a prerequisite for multiple business teams, placing greater strain on database architectures. Legacy systems that rely on a single server or access point can become overwhelmed and end up creating damaging bottlenecks that hinder operational efficiency. While investing greater resources may work as a temporary fix, this is unlikely to work long term; organizations need to redesign their approach to database infrastructure and build a system that can keep up with modern demands.

Increasingly, this system involves taking a managed services approach; research from analyst firm ESG shows that nearly half of organizations are using that method to address operational management challenges in the cloud. It is critical that companies are not forced to compromise on performance or reliability and that their database is designed to scale alongside the rest of their operations. With managed services like DataStax on Google Cloud, real-time data can be a reality.
 
In this webinar from Datastax, Google Cloud and ESG, industry experts will spotlight the key issues plaguing traditional databases and discuss a new way to re-architect these infrastructures. 

Tune in to hear more about:
— The impact of data explosion on traditional data management
— Why a managed services approach is so well suited to database workloads
— How Datastax and Google Cloud are working together to fuel customer success, through real case studies
— And much more

Real-Time All the Time: Redesigning Databases with DataStax & Google Cloud

In today’s cut-throat landscape, companies capable of extracting the most value from their data are the ones achieving a distinct competitive advantage. Traditional databases (and even current off-the-shelf options) aren’t going to be able to support that elevated performance that industry front-runners require.

In this webinar from MongoDB, Google Cloud and analyst firm ESG, industry experts break down the new requirements for successful database management and reveal why cloud-based database-as-a-service (DBaaS) is a performance game-changer.

Tune in to learn more about:
• The top challenges that are keeping businesses from optimizing their data
• How cloud-based DBaaS can transform current data initiatives
• Specific customer success stories of deploying MongoDB on Google Cloud
• And much more

Traditional databases vs. DBaaS: Performance showdown

Migrating to a multi-cloud environment has become a popular choice for enterprise organizations, enabling them to meet modern day demands and handle greater volumes of data. Yet these migrations can’t happen in a vacuum; digital transformation efforts must also address database management in order to maximize the value of a new multi-cloud infrastructure. Legacy databases require regular re-engineering and reconfiguring, which depletes resources while leaving room for human error. 

By contrast, a modern database solution can offer serverless, regionless, and infrastructure-less functionality — all in a scalable and elastic format. When operating in a multi-cloud environment, having a single database that aligns across each machine and region can be a gamechanger. Identifying the right database provider for the era of cloud-native distributed data will allow companies to ramp up quickly and deploy applications at scale, without any impact on performance.

In this webinar from Cockroach Labs, Google Cloud and ESG, industry experts will discuss the key drivers of database transformation and break down the most valuable components of a best-in-class database solution. 

Tune in to hear more about:
— How organizations are approaching the need for real-time data
— The tipping point between manually updating legacy databases and replacing them
— What a cloud-native distributed SQL database can fully offer
— Specific case studies around the Cockroach Labs x Google Cloud database solution

The Single Database Solution for Multi-Cloud Enterprise Data

How do you build demand forecasting models at scale with BigQuery and SQL? In this technical deep dive, Polong Lin (Developer Advocate, Google) will walk through how to train, evaluate and forecast inventory demand on retail sales data with BigQuery ML. He'll also demonstrate how to schedule model retraining on a regular basis so that your forecast models can stay up-to-date.

How to do demand forecasting with BigQuery ML

BigQuery

Machine Learning

Demand Forecasting

Cloud

Cloud Adoption

Cloud Architecture

Data Analytics

Digital Transformation

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How to do demand forecasting with BigQuery ML

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