Name: Get Started with Machine Learning with TensorFlow on Google Cloud Platform
Start: 2018-05-30T17:30:00Z
End: 2018-05-30T18:15:26.000Z
Location: BrightTALK
Rating: 4.56

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.

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

Companies have taken giant strides in their digital transformation efforts, adding new cloud infrastructures and integrating more applications. Yet these more complex architectures have made security strategies more difficult to implement, especially as they continue to evolve. As a result, SecOps has become a high priority and many organizations are concluding that they should outsource their security needs to managed security service providers (MSSPs). Now, it is the MSSPs that are being overwhelmed with countless security alerts that require manual intervention, as their customers grow in number.

Partnering with an external security solution allows companies to better manage their own resources while benefiting from industry expertise. ESG research found that a majority of organizations are using or planning to use managed services in order to offload the burden of operational tasks and redirect their employees to more strategic security initiatives (55%). But if the MSSP is overburdened, this can weaken the quality of the service. In order to differentiate themselves in a competitive market, MSSPs need to look for their own partners who can reduce the reliance on manual malware triage and help them scale.

In this webinar from VMRay, ESG and Chronicle, industry experts will map out what truly modern, end-to-end SecOps looks like and explain how to close the window of malware vulnerability, including the VMRay and Chronicle SOAR solutions.

Tune in to hear more about:
— The current malware threat landscape and where SecOps may be falling short
— How alert fatigue is draining MSSP triage capabilities
— Why VMRay and Chronicle SOAR offer a key point of differentiation for MSSP & MDR providers
— And much more

Swimming in a Sea of Malware Alerts

The customer experience is more important than ever. With many customers basing their loyalty on the vendors providing the fastest service, businesses must adapt to the new supply chain landscape with frequent and unexpected fractures in the system. With the customer experience at the center, businesses are turning to technology - specifically data and analytics - to get ahead of the curve and be ready for whatever changes or challenges come their way. 

 

This webinar will be led by Mike Leone, Senior Analyst at Enterprise Strategy Group leading coverage of Data Platforms, Analytics, and AI at ESG and feature Paula Natoli, Director of Supply Chain & Logistics Industry Solutions at Google Cloud, and Manik Sharma, Head of Supply Chain and Digital Solutions at Palantir Technologies. 

 

They will discuss the latest trends and changes in the supply chain market, and share the innovative ways they are seeing customers use big data to drive analytics to actions in their supply chain. Sign up today!

Accelerating Data-driven Transformation in Modern Supply Chains

Detecting and managing bot-generated traffic is complex, yet incredibly important. The impact from malicious bot activity can impact security, customer experience, web, and fraud teams. ESG research shows that addressing the rise in bot attacks is a top 5 priority for over 90% of cybersecurity teams over the next year.

Lean in and hear from John Grady, ESG analyst, as well F5 and Google Cloud security experts to find out how you can mitigate bots from disrupting your business. 

Attend this session to learn:
·  The current bot management landscape and top attack trends
·  Why bots are a security and boardroom issue
·  Why distributed bot defense systems must include strong analytics coupled with human expertise to effectively defend against today’s sophisticated bots
·  What steps you can take to prevent Account Takeovers
·  How to protect user information without increasing friction

Stopping the Rise of the Bot Machine

Data proliferation should be a source of opportunity for organizations, but for many it has become a challenge. With such large volumes of data to sort through and convert into meaningful information, companies are frequently unable to take advantage of the insights at their fingertips. Instead, data is siloed or left without context, hindering the operations of other departments that depend on this information — whether that’s in the supply chain, the financial sector or other industries.

To help contextualize this data, an increasing number of organizations are turning to graph technology like the Neo4j solution on Google Cloud. Not only can graph technology create a compelling visual representation of the data, but it is able to demonstrate the relationships between data points and provide a 360 degree understanding. This enriched perspective is then able to enhance existing machine learning and AI strategies, by supplying a more advanced set of patterns to work off of. More robust AI initiatives will ensure a higher level of performance and a greater level of security.

In this webinar from Neo4j, Google Cloud and analyst firm ESG, industry experts will break down the key challenges posited by data proliferation and explore the different ways graph technology can strengthen operations across different industries.

Tune in to learn more about:
— Why context is critical to maximize the value of company data
— Where organizations are most vulnerable to data inefficiencies and silos
— How to achieve a holistic view of data — and how it will enhance your operations
— And much more

Contextualizing Data: Using Graph Technologies to Enhance AI Initiatives

As companies invested in their digital transformations, one side effect was the proliferation of data environments and varying database instances. With so many systems to navigate, many organizations have fallen prey to operational disruptions and now struggle to achieve the high level of performance and scalability that their transformations promised. In order to truly maximize their ROI and get the most out of their data, companies must contain the data sprawl and introduce new database management.

The right database managed services will make data readily accessible, without compromising on reliability or performance. Greater oversight also makes it possible to identify cost saving opportunities and better leverage resources, particularly if facing a shortage. As businesses increasingly migrate to the cloud, it will only become more critical that they partner with a database provider designed for that infrastructure.

In this webinar from Redis, Google Cloud and ESG, industry experts will pull back the curtain on database disasters and reveal the path toward more efficient data handling, featuring specific customer stories of Redis on Google Cloud. 

Tune in to hear more about:
— Which challenges are bringing companies to the boiling point and forcing change
— How to identify the most critical capabilities of a database managed service
— The benefits Redis customers can achieve running on Google Cloud
— And much more

Organizing the Chaos of Data: The Importance of Database MS in the Cloud

AI has become critical for the CPG industry to drive resiliency. However, despite CPG organizations’ increasing reliance on AI to improve every operation from supply chain to manufacturing, it can still take months to complete the AI lifecycle. 
 
As CPG organizations struggle to scale AI applications from trials to production, companies should consider partnerships to offset barriers, burdens, and skills gaps and to drive innovation. In this panel, we will dive into how C3 AI and Google Cloud’s partnership can help organizations scale enterprise AI applications for CPG and will share relevant use cases across manufacturing, sales, and supply chain. Regardless of where organizations are in their AI journeys, Google Cloud and C3 AI can help.
 
This discussion will explore: 
Challenges CPG organizations face in the AI lifecycle and opportunities to improve workflows 
How Google Cloud & C3 AI’s partnership enables companies to scale enterprise AI and drive faster time to value  
How CPG companies can improve operations and drive resiliency with Google Cloud and C3 AI’s suite of AI solutions for inventory optimization, demand forecasting, customer relationship management (CRM), and more
 
Join us for this unique opportunity to gain valuable insights into the role that Enterprise AI can play in transforming the CPG industry and to participate in a live Q+A with our industry experts.

Transforming CPG with C3 AI and Google Cloud

Successfully implementing a secure, efficient cloud infrastructure used to be an advantage, but it has now become a necessity in today’s landscape. With 95% of organizations currently using public cloud services, cloud has become the default choice for the modern organization. ESG research shows that 87% of enterprise cloud customers found that cloud was a helpful and important part of their data protection strategy. This is good news for cyber resiliency. Yet there is a difference between migrating to the cloud and ensuring full data protection in this environment, especially when looking at new tools like containers.


Although cloud infrastructures require different security protocols, organizations are able to take advantage of best-in-class solutions to ensure they’re covered. Whether you’re part of the 60% of companies currently deploying cloud-native applications, or the 27% planning to do so in the next 12 months, the vast majority of organizations could benefit from expert security insight. Looking ahead, a secure cloud environment will provide that stable foundation to scale operations successfully.

In this webinar from Google Cloud and Veeam, speakers Danny Allen and Vijay Tewari and ESG analyst Christophe Bertrand will deep dive on the state of enterprise public cloud and discuss the Google Cloud & Veeam data protection partnership.

Tune in to hear more about:
— The extent of public cloud usage and enterprise adoption
— What companies are getting wrong when it comes to protecting container data
— How Google Cloud & Veeam can level up your data protection
— And much more

Protecting Data Assets with Google Cloud and Veeam

Jump right into enterprise-ready innovations you can leverage in your organization during our Data Cloud Deep Dive, including BigQuery and Looker demos. You'll engage with the Google Cloud Product team to learn about all the latest cloud innovations for analytics, data management, and AI that organizations are using to solve their unique challenges. Plus, submit your own questions through social via #askGoogleDataCloud.

Data Cloud Innovation Update: BigQuery, Looker, and more

A first-class experience for Windows server container workloads means powerful, scalable infrastructure coupled with the choice to self-manage workloads or rely on managed services. Whether on-prem or in other clouds, Anthos brings the GKE experience to your Windows Workloads. In this webinar, learn how you can migrate, modernize, and manage your Windows workloads with Google Cloud technologies. We’ll discuss how Windows server containers differ from Linux, and demonstrate how .NET and SQL workloads on VMs run on GKE with Google Cloud and/or Anthos from anywhere.

Migrate, Manage & Modernize: Windows Workloads Powered by GKE and Anthos

Whether building an application on Kubernetes, Serverless, or Virtual Machine, end-to-end security is crucial to mitigate the rapid growth in open source software, as well as recent cybersecurity attacks and data breaches. Come learn how you can adopt an in-depth, security-first approach with Google Cloud that embeds security and compliance at every step of your software lifecycle.

Container Security: Building trust in your software supply chain

Expand your knowledge and sharpen your skills through Google Cloud Unified: ML/AI Academy. Co-hosted by Coursera and designed for ML Engineers and Data Scientists like you, this lab will demo the end-to-end experience of training and serving a custom TensorFlow model on Google Cloud's platform, Vertex AI.

ML Academy Webinar

Go behind the scenes of the new “Machine Learning with TensorFlow on Google Cloud Platform” specialization on Coursera, which will teach you how to build production-ready machine learning models. During this webinar, Lak Lakshmanan, Google Cloud Machine Learning expert, will preview some of the Machine Learning techniques you will learn, walk through a demo of how to debug TensorFlow programs, and share insights on the exciting field of Machine Learning. Register now and get free access to a Machine Learning lab to jumpstart your learning. All webinar attendees will also receive a free voucher to take the first course of the Coursera specialization for free.

Get Started with Machine Learning with TensorFlow on Google Cloud Platform

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Get Started with Machine Learning with TensorFlow on Google Cloud Platform

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