Name: Customizing the Consumer Journey with Amazon Personalize
Start: 2020-02-18T19:00:00Z
End: 2020-02-18T19:57:27.000Z
Location: BrightTALK
Rating: 5

Onica is one of the largest and fastest-growing Amazon Web Services (AWS) Premier Consulting Partners in the world, helping companies enable, operate, and innovate on the cloud. Our webinars will provide insight, best practices and tips, gathered from years of AWS experience, on topics from migration strategy to cloud application and data engineering solutions.

AWS re:Invent was virtual for the first time ever in 2020 and packed with exciting sessions over 3 weeks! In case you missed the important announcements made about new services and features, Mark McQuade, Practice Manager of Data Science and Engineering at Rackspace Technology, Amir Kashani, VP of Cloud Native Development & IoT Solutions at Rackspace Technology and Aaron Richmond, Manager of Partner SA – Strategic Partners at AWS have curated a re:Invent re:Cap to take you through the key highlights.  
 
Join us for our webinar where we will be highlighting the top announcements and doing a deep dive into a few of the most interesting new services across Serverless and Containers, Compute, IoT, AI & ML, Analytics, Database, Storage, Security and AWS Marketplace.

AWS re:Invent re:Cap 2020

Whether you’re migrating single-tenant environments or modernizing an existing SaaS solution to obtain the benefits of AWS cloud native solutions, launching, and running a SaaS platform can be complex and costly. Many SaaS platforms are adopting a microservices approach to application development and leveraging automation, scalability and flexibility in order to enhance the customer experience and accelerate innovation. AWS has resources and tools for you at every stage of your product journey – from concept to QA to production. 

Join Chris O’Malley, Sr. Practice Manager, Cloud Native Development at Rackspace Technology, Anubhav Sharma, Sr. Partner Solutions Architect, SaaS Factory at AWS, and Oded Rosenmann, SaaS Business Lead at AWS as they explore the advantages of multi-tenancy and dive deep into a range of migration and modernization approaches on AWS, highlighting the unique challenges, advantages, and demands of each approach.

What we’ll cover: 
- Business drivers for adopting a cloud native SaaS model 
- Challenges and strategies associated with building next-generation SaaS applications 
- Approaches to transitioning to multi-tenant environments including data segregation & resource management 
- Considerations for billing and metering your environment for optimal tenant usage
- Architecting for scale and deploying production-ready SaaS using AWS Managed Services 
- Real-world use cases of implementing scalable SaaS platforms on AWS

Next Generation SaaS: Building Scalable, Multi-Tenant SaaS Solutions on AWS

In our highly connected world, patients now expect pharma companies to provide them with enhanced customer experiences, tools, and services to assist in their patient journey and help them to get better faster. In order to provide better patient care, organizations have been innovating with digital medicine. Enter digital therapeutics.  

Digital therapeutics (DTx) are evidence-based software such as a mobile application, a digitally connected medicine, or a connected patient portal that provides personalized feedback. With the rise of digital therapeutics, many organizations are looking for scalable, cost effective and compliant platforms to support their healthcare initiatives. The AWS Cloud has an expansive global footprint to ensure low-latency for fast applications, while enabling reliable and secure data capture from patient technology.

Join our webinar to learn how digital therapeutics increasingly influence the way healthcare is delivered and consumed across the world and how AWS can accelerate the development and deployment of applications and connected devices, while complying with medical regulations. 

What we’ll cover: 
- Overview of DTx and its benefits 
- The advantages of using a cloud native approach to support innovation in DTx 
- Key components of DTx: How serverless technology on AWS has broadened the role of DTx in improving patient care 
- Technical and business considerations for developing compliant digital medical solutions 
- How to leverage AWS services such as Amazon DynamoDB and AWS Lambda to build a scalable HIPAA eligible platform

Accelerating Digital Therapeutics Development on AWS

As organizations transform their approaches to a cloud native mindset, often overlooked are how their teams have to undergo transformations as well. By leveraging a combination of cloud native tools and best practices, companies are able to decrease costs, improve agility, become more efficient, and get to market quicker. 

Most companies recognize the benefits of agile methodologies, but DevOps takes things further. Many organizations that have attempted to move forward with DevOps have struggled just using the tools when confronted with existing legacy processes, not to mention trying to transform their team structures alongside that effort. As organizations venture into uncharted territory, leveraging a partner with a ‘do with’ approach to DevOps can provide on-the-ground guidance to help with their transformations.

Join our webinar presented by Valerie Henderson, VP of Cloud Native Sales, Ginger Siedschlag, VP of Elastic Engineering, and Matt Sollie, Lead Cloud Architect at Rackspace Technology to learn best practices on adapting your teams to embrace a cloud native approach. No matter where you are in your cloud journey, learn how you can leverage the DevOps methodology to get to your cloud native state faster.

What we’ll cover: 
- How to structure DevOps teams with core devs, centers of excellence and shared resources
- Why refactor existing teams during DevOps and agile transformations
- The six step path to operational excellence 
- How clashing team models and methodologies endangers velocity and ultimately your organization
- How to accelerate your business by adopting a DevOps mindset and leveraging a CI/CD approach for automated deployments to enable efficiency and operational excellence
- Tools and best practices to help you build, migrate, optimize, and maintain live AWS production environments
- Customer use cases

DevOps in a Cloud Native World

There will be over 25 billion connected devices in use by 2021. As IoT is embraced across industry segments, the difference between the innovators and the followers often comes down to who can bring their solution to market first. Connected devices inherently have a great deal of complexity and customization, which often leads to cycles lost on lessons-learned and increased time-to-market.

Whether you’re looking to introduce IoT enabled products into your portfolio, employ more intelligent decision making, or improve the efficiency of engineering and manufacturing processes, learn how leveraging Amazon Web Services’ connectivity, storage application, and analytics capabilities can help you quickly build IoT solutions customized to your use case.​

Join Amir Kashani, VP, AWS Cloud Native Development at Onica, a Rackspace Technology company and Bill Durham, Business Development Manager for Emerging Trends at AWS for a webinar where we’ll explore: 
- How various industries are solving problems and realizing benefits with IoT
- Technical considerations for building IoT Solutions from hardware, firmware, cloud backend and data visualization
- Best practices in building end-to-end IoT solutions leveraging cloud native AWS services such as AWS IoT Core, AWS Lambda, and Amazon DynamoDB
- Customer use case: Learn how an industrial motor company introduces a new line of connected drives enabling them to create a Managed Services offering for drive maintenance & quality control​
- Demo of Rackspace Technology IoT

Building for Tomorrow: Next-Level Connectivity with IoT on AWS

More startups build on AWS than any other provider and for good reason: AWS enables your growing business to succeed while optimizing performance, managing risk, and keeping costs under control. Whether you’re a young startup building your business or an established entrepreneur in the process of developing new, innovative products to bring to market, AWS provides startups with a low-cost and easy-to-use infrastructure to build and scale your dreams.

Join Ross Lawrie, Customer Solutions Architect at Onica, Mike Apted, Sr. Startup Solutions Architect at AWS, Kevin King-Scott, National Sales Leader, Canada Startups at AWS, and Jack Singh, Startup Partner Sales Leader at AWS for this virtual event to learn how to open new revenue streams, reduce costs through resource optimization, and build the foundation that will scale as your startup grows. 

What We'll Cover:
- Best practices on building a scalable cloud foundation 
- How serverless or container platforms can help you accelerate product innovation
- Driving outcomes with machine learning to optimize and differentiate your business
- Demystifying cloud spend and maximizing ROI

A Startup’s Guide to Scaling for Success with AWS

Many organizations are experiencing disruption in their IT operations, budget, and revenue as a result of the global COVID-19 pandemic. Whether you’re supporting rapid-growth or a sudden lull, it is important to have an effective cost governance plan in place. 

Our Optimizer team helps customers efficiently manage over $500M of AWS cloud spend annually, and in this webinar we’ll share our insights and best practices around cost governance in the AWS cloud. In this webinar, we’ll discuss the key elements of an effective cost governance strategy, how to implement or improve cost governance across your organization, and how to avoid stifling innovation while still controlling your cloud costs.

What we’ll cover: 
- What is cost governance?
- Principles of design and implementation
- Overview of elements of cost governance including reporting and oversight, policies and automation
- Actionable techniques to support your business initiatives

Building an Effective Cloud Cost Governance Strategy on AWS

The Internet of Things (IoT) is enabling new and existing businesses to build better products, provide new services and improve business outcomes through a more connected world. However, the same connectivity provides malicious actors billions of new targets to steal data, control systems or otherwise wreak havoc. In this webinar, we’ll cover key threats to be aware of when building an IoT device or platform and ways to mitigate the risks.

What we'll cover:
- The importance of IoT security
- An overview of AWS IoT
- The implications of physical security and cloud security
- Tips to protect your IoT devices

IoT Security: Prevent Your Devices from Becoming Attack Vectors

Are you running legacy Windows or SQL servers that are no longer supported? While it’s critical these systems get upgraded, many businesses with legacy .NET platforms are challenged with tight dependencies, missing installation media or code, and/or limited in-house expertise. This provides an opportunity for companies to consider migrating to the cloud and updating their .NET stack. 

Join us for a virtual event where we’ll address the best practices for migrating Microsoft workloads to AWS, dispel some of the misconceptions around migration barriers, and provide the best path forward as you seek to migrate and modernize your legacy applications to improve cost-effectiveness, reduce risk, and establish the foundation for future innovation and growth.

What we’ll cover:
- How the Microsoft Windows Server 2008 and SQL Server 2008 end-of-support events impact your business 
- Common challenges with legacy .NET applications and how to mitigate them 
- Identifying the best migration paths for reducing risks and cutting costs, while future-proofing your business 
- Tools, assessments, and programs provided by AWS to accelerate your Microsoft Workloads migration and modernization, including licensing options, EMP, and AWS App2Container 
- Real-world examples of how customers are modernizing their .NET applications with cloud native services

Future-Proofing Your Legacy Microsoft Workloads on AWS

Many businesses today require some form of search in their applications, websites or internal systems. But search is usually tied to keywords and matching. This poses certain challenges such as low accuracy of the search results as well as complexity in the structure of the search. Enter Amazon Kendra.

Amazon Kendra is a highly accurate and easy to use enterprise search service that’s powered by AWS’ AI/ML Services and optimized for 16 major domains such as Financial Services, Media and Entertainment and Healthcare. In this webinar, we will discuss how Amazon Kendra delivers powerful natural language search capabilities to your websites and applications so your end users can more easily find the information they need.

What we’ll cover:
- Current challenges with enterprise search 
- What is Amazon Kendra?
- How Amazon Kendra Works
- Setting up Amazon Kendra
- Amazon Kendra vs. Elasticsearch 
- Demo of Amazon Kendra and Amazon Lex

Transform the Way you Search using Natural Language with Amazon Kendra

Companies are realizing the value of using ML models to drive better outcomes for their businesses. Harnessing the predictive power of their data with ML models to remain competitive is becoming more critical to business operations, yet 60% of ML models never make it to production. This is due to complications often exacerbated by outdated business processes and the fact that it's not a core competency for typical data science teams.

In this webinar, we will explore these specific challenges and illustrate how familiar cloud services can be stitched together with MLOps Foundations, enabling rapid development, training, scoring and deployment of models across multiple environments with strong governance and security controls to provide a foundation for successful model lifecycle management. 

What we'll cover:
- Introduction to MLOps Foundations powered by Model Factory 
- The gap between the Data Scientists and ML Operations
- The distinction between MLOps and DevOps
- Architecture patterns necessary for elements of effective MLOps
- How a “model factory” architecture holistically addresses CI/CD for ML

Demo that will explore:
- Quick feedback and traceability for model development
- ML framework agnostic tooling for packaging of models
- Platform agnostic continuous/rolling deployment

Automating Production Level Machine Learning Operations on AWS

The cloud is no longer a destination you need to get to in order to start innovating, it’s where you innovate on day 1. For many businesses just getting to the cloud may not be the best first step. Adoption has expanded beyond migration. If your organization’s goal is to be “cloud-first”, digital transformation across all levels is vital before even thinking about technology. Join us for our webinar to learn about the benefits of modern cloud adoption and how to leverage best practices in the AWS Cloud. 

What we'll cover:
- The best ways to build your cloud foundational footprint 
- The optimal cloud native migrations paths for your workloads including automated migration and migration-as-code
- How to develop new cloud-native solutions on AWS 
- How to improve the value of your data with data lakes, modern insights & analytics, and AI/ML

Modern Cloud Adoption: Reimagine Your Journey to the Cloud

With servers fading into obscurity, “Run code, not servers,” is increasingly becoming the norm. Companies are looking to become more agile and innovate faster in order to stay competitive and respond quickly to changes. Serverless applications offer the quickest path to production and are suitable for event-driven processes which help keep costs to the absolute minimum. Join us for a virtual event to learn how modernizing your applications to utilize AWS serverless technologies can increase scalability, improve reliability and reduce your costs, enabling faster time-to-market. 

What we’ll cover: 
- How serverless supports business agility with modern applications
- Overview of application modernization and serverless best practices
- The optimal ways to leverage serverless to build and run applications using AWS’ suite of serverless technologies such as AWS Lambda, Amazon DynamoDB and Amazon API Gateway
- Customer success stories

Driving Agility and Innovation in the Cloud with AWS Serverless

Enterprises are ready to migrate to the cloud, but realize that certain workloads need to remain on-premises for the foreseeable future due to latency, local data processing, or data residency requirements. As organizations continue to grapple with their hybrid strategy, a significant number of tools and techniques have emerged to help bridge the gap -- though none have truly enabled a consistent experience across cloud and on-premises environments. That is, until now.

In this webinar, we’ll discuss how hybrid is being redefined in a cloud native world, and how AWS Outposts brings fully managed AWS infrastructure and AWS services on-premises for a truly consistent hybrid experience.

What we'll cover:
- The evolution of hybrid and defining what Onica calls ‘Hybrid 2.0’ 
- Overview of the AWS Outposts service
- How AWS Outposts delivers a truly consistent cloud native hybrid experience
- Real-world use cases: How AWS Outposts fits into your IT modernization strategy
- Considerations for the adoption of AWS Outposts, including pricing models, location, implementation, and optimization
- Best practices for enabling AWS Outposts through a cloud native lens

Redefining Hybrid: Cloud Native On-Premises with AWS Outposts

Modernization is the process of progressively transforming applications, infrastructure and processes so that organizations can achieve the availability, scalability, business agility, and cost optimization benefits of running in the cloud. As such, modernization is a multi-dimensional approach, where you have to look at not only each individual app, but also the processes surrounding each app.

There are 3 main pathways that can be used to approach this, largely based on the age of the application, its need to change, and your ability to change it. By following one of these pathways, you will be able to leverage the AWS Cloud as the destination for modernization of an existing application system, solution, or workload. Join us for our virtual event to learn which application modernization path is best for you.

What we’ll cover:
- The spectrum of Cloud Adoption and the business benefits of each strategy
- The optimal paths for your applications including Cloud Native Replatforming, Container Adoption and Serverless Application Development
- How to build self-healing, auto-scaling, serverless applications
- How to reduce complexity and scale effortlessly by leveraging the container ecosystem
- How to increase the elasticity and responsiveness of large workloads by adopting cloud native services

Application Modernization: A Roadmap To Cloud-Native Transformation

SAP customers around the globe are transitioning traditional on premise, paper-based, and legacy workflows to modern digital services. By enabling Cloud Native thinking around complex legacy systems like SAP, you can increase speed to market for extending SAP to edge use cases while taking advantage of exciting AWS cloud native technologies.

Join Onica’s Practice Manager for Data Science and Engineering, Mark McQuade, and Pillir’s CEO and Founder, Vaidya Aiyer, on Thursday, June 18th as they cover:

-   Why SAP customers are looking to modernize and best practices for modernization
-   How to enable a remote workforce that relies on SAP and ERPs to do their jobs with modern mobile applications
-   How to apply AWS Machine learning, AI, IoT, Data Engineering and Analytics services to your SAP reliant workflows  
-   Demo: A real life customer use case for modernizing an historically manual SAP workflow (Plant Maintenance)

SAP Modernization: Enhance your Transformation with AWS Cloud Native Technology

While every organization has different data needs, disparate data sources, unreliable data pipelines, and a lack of knowledge about your data are common problems business leaders face. With the right data strategy, you can unblock the barriers to making data-driven decisions. By leveraging a modern cloud based data platform comprising real-time monitoring and alerting, data lakes, data marts, visualization and reporting, data warehousing, analytics, and security cataloging, you can save significant time and resources. Join us for our webinar to learn more about modern data platform best practices and how to turn your data into a tool for innovation.

What We’ll Cover:
- Overview of a modern data platform and the various components from data ingestion to data warehouses leveraging services like Amazon Kinesis, AWS Lambda, AWS Glue, Amazon S3, Amazon Redshift, Amazon EMR, Amazon DynamoDB, Amazon Athena and AWS Lake Formation 
- Data lakes in Amazon S3 and data warehouses in Amazon Redshift and when to leverage each or a combination of both
- Best practices and considerations for optimizing your data platform
- Strategic approach for developing a data platform on AWS including understanding your data sources and access control, data enrichment requirements, and your data consumer to determine the best tool sets
- Best practices and considerations for optimizing your data platform including tips on how to optimize your Redshift clusters

Unlocking Actionable Insights with a Modern Data Strategy on AWS

Are you struggling to find IT budget to drive new business initiatives in 2020? Learn how to reduce your AWS spend while still meeting demand. We’ll cover technical and organizational strategies, as well as show first-hand how analytics tools like CloudHealth by VMware can help you gain critical insights and manage your costs. Join us for our virtual event to learn how to optimize your spend on AWS. 

What we’ll cover:
- An introduction to cost optimization and savings on AWS
- How to create an effective cost evaluation and reduction plan that lowers your monthly AWS costs 10-50%
- Key tips and tricks for cost optimization, including common cloud usage pitfalls, AWS best practices, Reserved Instances, Savings Plans, and tagging
- How to scale down or pause underutilized cloud resources for effective business continuity planning
- Customer success stories: driving business innovation while lowering costs
- CloudHealth tool savings and analysis demo

AWS Cost Optimization: Organizational and Technical Strategies

Machine learning is being increasingly used to improve customer engagement by powering personalized product and content recommendations, tailored search results, and targeted marketing promotions. However, developing the machine-learning capabilities necessary to produce these sophisticated recommendation systems can be complex. Amazon Personalize allows developers with no prior machine learning experience or knowledge to easily build sophisticated personalization capabilities into their applications, using machine learning technology perfected from years of use on Amazon.com. Join us for a webinar to learn more about how to easily build personalization capabilities using Amazon Personalize. 

What we’ll cover:

What is Amazon Personalize?
How does Amazon Personalize work?
How you can use Amazon Personalize in your business today and how you can use your data
Building a recommendation algorithm vs. utilizing Amazon Personalize
Demo evaluating the Amazon Personalize service

Customizing the Consumer Journey with Amazon Personalize

Onica

Amazon

Amazon personalize

Machine Learning

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Customizing the Consumer Journey with Amazon Personalize

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