Hybrid Data
Conference

Modernizing Operational Analytics in the Cloud with the Avalanche Platform – Delivering Real-Time Performance at Scale
Speaker: Emma McGrattan, Senior Vice President, Engineering, Actian

Duration: 30 Minutes

Room/Track: Virtual Room 1/Real-Time Decision-Making for Business Analysts and Other Power Users Part 1

Recommended for: Business and Operation Analysts, Engineers, Scientists and IT

Abstract: The age of data silos hasn’t ended, only changed into a harder problem to tackle at the same time the need to run advanced analytics on diverse and disparate datasets has only increased and moved to the Cloud.  Join this session to hear from Emma McGrattan, head of engineering at Actian, as she describes how Avalanche takes the best of enterprise data warehouse, data lake and data hub features and functionality with an eye to direct access and use by non-IT – business and operational analysts, data scientists and engineers – and packages it as a fully-managed, highly-performant, pay-as-you-go platform.

5 Critical Requirements for Delivery of Breakthrough Cloud-Based Operational Analytics 
Speaker: Adam Luciano, Senior Director, Avalanche Product Management

Duration: 30 Minutes

Room/Track: Virtual Room 1/Real-Time Decision-Making for Business Analysts and Other Power Users Part 1

Recommended for: Business and Operation Analysts, Engineers, Scientists and IT

Abstract: Affordability, ease-of-use and, of course, performance are critical decision-making factors when deciding on a Cloud Data Analytics platform to support day-to-day, real-world operational analytics.  In this session, Adam Luciano looks under the hood at what are the key requirements including separation of compute and storage, query result caching and workload management.

Better Together: A Foundational Overview of Avalanche on Google Cloud and How to Optimize for Real-World Performance
Speakers: Vikas Mathur, SVP Product Management and Strategy, Actian,
Jeremy Hankinson, Director, Performance Engineering, Actian

Duration: 30 Minutes

Room/Track: Virtual Room 1/Real-Time Decision-Making for Business Analysts and Other Power Users Part 1

Recommended for: Business and Operation Analysts, Engineers, Scientist and IT

Abstract: Actian Avalanche has been redesigned from the ground-up to take advantage of Google Cloud infrastructure including the Google Kubernetes Engine, Google Cloud Storage and Googles’s advanced networking.  Explore how moving from a static Hadoop based architecture to a flexible contrainerized deployment dramatically reduced deployment time and simplified maintenance. Further, how moving to using Cloud native storage unlocked the full potential of Avalanche scalability and performance in GCP.  Join this session to double click on these differentiators and why they matter for real-workload performance in everyday operational analytics use cases.

Making the Journey to the Cloud at UK’s Favorite Auto Insurer, Automobile Association
Speakers: Paul Frith, Head of Underwriting Data & Systems, AA Underwirting Insurance Company Limited
Marc Potter, Chief Revenue Officer, Actian

Duration: 20 Minutes

Room/Track: Virtual Room 1/Real-Time Decision-Making for Business Analysts and Other Power Users Part 2

Recommended for: Business and Operation Analysts and IT Management

Abstract: The AA, a leading provider of roadside assistance and home and auto insurance in the UK market is over 100 years old.  This highly trusted brand thrives in a highly competitive digital marketplace for insurance where accurate online requests for quotes must receive estimated underwriting and response within sub-second time limits.  Join this session to hear a conversation between AA’s Head of Underwriting, Paul Frith and Actian’s CRO, Marc Potter, as they discuss the AA’s journey to Cloud and how the AA has made the most of their small but agile organization and resources, leveraging Ingres, Vector, Data Flow, and now Avalanche.

Implementing a Next Generation Real-Time Customer 360 Solution 
Speakers: Scott Clinton, Strategic Consulting, Actian,
Ryan Dudgeon, Senior Director, Sales Operations, Actian

Duration: 40 Minutes

Room/Track: Virtual Room 1/Real-Time Decision-Making for Business Analysts and Other Power Users Part 2

Recommended for: Business and Operation Analysts, Sales, Marketing, Services and IT Management

Abstract: Nine in ten organizations rank customer centricity as a high priority yet, according to Gartner, 30 to 60% of Customer 360 Analytics projects fail.  The core reason for this is the lack of a unified data set that can be accessed, enriched, and analyzed in near-real-time.  Join this session to hear how you can leverage Actian’s Customer360 real-time analytics solutions to improve customer insights across silos, analyze, visualize and report on customer profiling, micro-segmentation, churn and market basket analysis, next best action and campaign optimization.

Actian X, Ingres & OpenROAD Roadmap
Speaker: Alex Hanshaw, VP, Actian X, Ingres, OpenROAD Engineering, Actian

Duration: 30 Minutes

Room/Track: Virtual Room 2/Transactional Data Innovations Part 1

Recommended for: DBAs, Data Engineers, IT Operations and Management

Abstract: In this session Alex will provide a detailed review of the feature additions and enhancements planned for the new releases of Actian X, Ingres and OpenROAD that will take your applications to the next level. See how the synchronised 11.2 release schedule will allow you to modernise your applications, migrate to lower maintenance compute platforms, and improve security, collectively delivering unparalleled insights and an edge over the competition.

Actian X and Ingres on Docker, Containerization and Beyond 
Speaker: Jeremy Hankinson, Director, Performance Engineering, Actian

Duration: 30 Minutes

Room/Track: Virtual Room 2/Transactional Data Innovations Part 1

Recommended for: DBAs, Data Engineers, IT Operations and Management

Abstract: Ingres as an OLTP engine is tried and true.  What’s changed over the years has been its continued ability to evolve and adopt the latest in underlying server architecture.  The next wave of evolution is here.  Join this session to hear how automated deployment of Actian X and Ingres in the Cloud or On-Premise using Docker, Kubernetes and Helm achieve consistent, isolated environments with cost effective, rapid and iterative deployments, thereby reducing operational overhead.

Application Modernization with ABF and OpenROAD, What’s New?
Speaker: Chris Clark, Director, Engineering, Actian X Engineering, Actian

Duration: 30 Minutes

Room/Track: Virtual Room 2/Transactional Data Innovations Part 1

Recommended for: DBAs, Data Engineers, Developers, IT Management

Abstract: Planning to move your applications to a cloud environment but unsure of what it will take with OpenROAD to do this with the least risk and investment of time and resources?  In this session Chris Clark, lead engineer for OpenROAD at Actian provides an overview of the options, process, tools, and new features in OpenROAD that make it easier to reuse ABF business logic in OpenROAD in both existing on-premises and the latest cloud environments.

Application Modernization with ABF and OpenROAD, Exploiting New Ideas and New Product Features
Speaker: Nick Denning, CEO, Diegesis

Duration: 30 Minutes

Room/Track: Virtual Room 2/Transactional Data Innovations Part 2

Recommended for: DBAs, Data Engineers, Developers, IT Management

Abstract: Harnessing the value in tried and tested, reliable business logic is a low risk, cost effective and incremental approach that can balance budgetary constraints and innovation goals simultaneously.   In this session Nick Denning, CEO for Diegesis will explore the options facing organizations with millions of lines of ABF and OpenROAD code who wish to modernize their applications while “sweating the asset”.  Nick will consider two themes: first, minimum refactoring and conversion to develop a web front end; and second, platform migration path from legacy on premise hardware to the cloud.  Finally, Nick will suggest options for the future, and how best to exploit the Actian architecture on your journey.

OpenROAD WebGen 101  
Speaker: Don Criley, Engineering Architect, Actian X Engineering, Actian

Duration: 30 Minutes

Room/Track: Virtual Room 2/Transactional Data Innovations Part 2

Recommended for: DBAs, Data Engineers, Developers, IT Management

Abstract: Need to extend business services to employees, partners, and customers on mobile and other edge environments without risk or undue porting pains?  Join this session for a hands-on introduction with Don Criley, OpenROAD Architect, on using WebGen in OpenROAD 11.2. WebGen is a new tool that allows 4GL applications to be deployed to the web.  With WebGen, 4GL developers can deploy web/mobile applications that extend existing business services to the Edge.

Actian Zen: A Single, Secure, Scalable Edge Data Management Platform 
Speaker: Desmond Tan, Senior Director, Zen Engineering and Product Management, Actian

Duration: 30 Minutes

Room/Track: Virtual Room 3/Data Management for IoT, Mobile, and Edge Environments

Recommended for: Operational Technology Product and Service Managers, Systems Integrators, Data Engineers, Developers, IT Management

Abstract: Mobile, IoT, and embedded branch/remote office applications are becoming more intelligent and increasingly require local data processing and analysis at the Edge to avoid latency, improve data sovereignty, security analysis, governance, and a host of other use cases – many supported by unsupervised ML.  Further, data collected and processed at the edge reside on a myriad of platforms in diverse formats, ranging from log files to video stream time series data to transactional data for point of sale or other event driven process.  Join this session to hear from Desmond Tan about Zen, a single Edge Data Management platform that supports all the scenarios noted above and more.

Edge to Cloud without ETL: Mobile and IoT Data Management with Actian Zen 
Speaker: Tom Bates, Principal Software Engineer, Zen Engineering, Actian

Duration: 30 Minutes

Room/Track: Virtual Room 3/Data Management for IoT, Mobile, and Edge Environments

Recommended for: Operational Technology Product and Service Managers, Systems Integrators, Data Engineers, Developers, IT Management

Abstract: Ten years ago, everyone was convinced that vast majority of data would come from the Edge and processed and analyzed in the Cloud.  That thinking has changed 180 degrees.  However, Cloud often provides secondary analysis so data must be moved from the edge to cloud.  Further, SaaS Cloud Based and traditional Data Center applications support point of action automated response and decision support for edge environments and, as a result, data moves from the Cloud to the Edge (granted at lower data rates but often event-driven and real-time in nature).  Use of multiple data management platforms across devices, gateways, edge systems, and the Cloud create performance bottlenecks and security vulnerabilities.  Join this session to see how Actian Zen can remove the security vulnerabilities of ETL in Edge data management and significantly improve your performance.

Powering Next-Gen Networks and IoT Apps on the OpenNESS platform with Zen Database

Speaker: Purvi Thakkar Product Manager – OpenNESS, Network Platforms Group, Intel Corporation

Duration: 30 Minutes

Room/Track: Virtual Room 3/Data Management for IoT, Mobile, and Edge Environments

Recommended for: Operational Technology Product and Service Managers, Systems Integrators, Data Engineers, Developers, IT Management

Abstract: Multi Access Edge Computing (MEC) brings modern cloud architecture and advanced networking capabilities to the edge resulting in convergence of IT,  OT ( Operational Technologies) and CT (Communication Technologies – 4G,5G, CBRS, etc.) at the edge. This “Converged Edge” has several use cases across verticals like media and entertainment, retail, industrial, healthcare, smart cities, connected cars and many more. A key initiative from Intel in the context of converged edge is an edge computing software toolkit, OpenNESS that helps on-board and manage applications and network functions at the edge with cloud-like agility. Action Zen is enabled on OpenNESS and is a recommended commercial partner for database management applications. In this session, you will hear from Intel on why data management is critical for MEC use cases and get an overview of how easy it is to use Actian Zen in containers with helm charts on the OpenNESS platform.

Implementing a Common Analytics Platform for Insurance Industry Use Cases  
Speaker: Lewis Carr, Senior Director Product Marketing, Actian

Duration: 30 Minutes

Room/Track: Virtual Room 3/Customer Use Cases

Recommended for: Business and Operations Analysts, Systems Integrators, Data Engineers and Scientists, Line-of-Business and IT Management

Abstract: No matter what the insurance type – health or property and casualty, commercial or private – there are three areas that require real-time decision-making capabilities for core business operations: underwriting, fraud detection and prevention, and customer adoption and retention.  All three of these business operations require real-time analytics that draw from disparate and diverse risk, trend, demographic, and other multi-variate data, often residing outside the confines of the insurance company’s proprietary data or traditional data center environment.  Join this session to review sample Actian insurance customer case studies across these three areas and how Actian provides common analytics platform components for multiple use scenarios.

Critical Questions for Non-IT Users to Consider When Moving Data Analytics to the Cloud  
Speakers: Adam Luciano, Senior Director, Product Management Avalanche Engineering, Actian
Lewis Carr, Senior Director, Product Marketing, Actian

Duration: 30 Minutes

Room/Track: Virtual Room 3/Customer Use Cases

Recommended for: Business and Operation Analysts, Engineers, Scientists, and Line-of-Business Management

Abstract: Most IT organizations are stretched and have limited time and resources to support analysts, engineers, scientists or other power users in moving their data from personal data files such as spreadsheets, offloading data from enterprise data warehouses, or accessing external data from SaaS apps, web service API-based JSON data or other data where the assumption is IT will need to do some degree of coding, allocate capacity, and ensure data sovereignty and privacy guidelines are met.  Platforms like Actian Avalanche make it possible to avoid coding data ingestion, preparation, or export to visualization and reporting tools, eliminate capacity planning, and ensure data security requirements are met.  But how do you convince IT?  What are their expectations and how to engage in the conversation?  Join this panel for a discussion of typical concerns power users should have and how to bridge the gap between IT and the rest of us when it comes to moving data analytics to the Cloud.

AvalancheConnect: Data Hub Functionality Embedded into a Cloud Data Analytics Platform
Speaker: Greg Coates, Director Product Management for Data Integration Products, Actian
Lewis Carr, Senior Director, Product Marketing, Actian

Duration: 30 Minutes

Room/Track: Virtual Room 4/Modernize Your Data Integration

Recommended for: Business and Operations Analysts, Data Integration Specialists, Data Engineers and Scientists, IT Operations and Management

Abstract: SaaS applications and Cloud Data Analytics represent a major advancement for real-time decision-making capabilities and their use by organizations of all sizes.  But the centerpieces for this revolution are missing a major requirement: accessibility for day-to-day operational analytics capabilities by non-IT users.  Join this session to hear about Actian AvalancheConnect, a zero-code, self-service data-hub built into Avalanche that provides the ability for Business Analysts, Engineers, Scientists and other non-IT staff to directly move data from disparate and diverse mobile, IoT, on-premise, web service and Cloud SaaS apps into Avalanche.  Join this session to review the features and functionality in and planned for AvalancheConnect from Greg Coates, product manager for Actian Data Integration products.

The High Costs of Dirty Data – Why Data Profiling with
DataConnect Version 12 Will Improve Your Business Outcomes
Speaker: Chris Gilson, Senior Director, Data Integration Engineering, Actian

Duration: 30 Minutes

Room/Track: Virtual Room 4/Modernize Your Data Integration

Recommended for: Business and Operations Analysts, Data Integration Specialists, Data Engineers and Scientists, IT Operations and Management

Abstract: Most Enterprises are drowning in data; some of it would quench their thirst for the right business insights but trying to analyze all of it would be like boiling an ocean.  Collectively, IT, Analysts, Engineers, Scientists and power-users across the organization spend precious time manually sifting through this ocean of data.  Consequently, it’s no surprise that Gartner estimates that poor data quality results in billions lost annually. Stop being a Data Janitor!  Join this session to hear how DataConnect Version 12 will empower all members of cross functional teams not just to unify disparate and diverse data but cleanse, enrich, and automate repeatable data pipeline operations, resulting in the right data for more accurate processing, better analysis, and ultimately business decisions for improved outcomes.

Intro to Actian BaaS: Make Databases Available as MicroServices for Consumption in New and Migration of Legacy Services
Speaker: Volker John, Vice President, Actian

Duration: 30 Minutes

Room/Track: Virtual Room 4/Modernize Your Data Integration

Recommended for: Developers, Data Integration Specialists, Data Engineers and Scientists, IT Operations and Management

Abstract: These days, TypeScript, JavaScript, and Python take the lead in any popularity context for programming languages. And of course, everyone wants to write micro services to automatically deploy on Kubernetes. Yet most existing applications are still in C/C++, something .Net, or Java. They use OBDC, JDBC, or JPA, to access large database servers. Neither these applications nor the database servers are easily migrated to the new and shiny world of containerization. Join this session to hear how Actian thinks about Backend as a Service (BaaS) to solve this challenge.

Implementing a Common Analytics Platform for Insurance Industry Use Cases  
Speaker: Lewis Carr, Senior Director Product Marketing, Actian

Duration: 20 Minutes

Room/Track: Virtual Room 3/Customer Use Cases

Recommended for: Business and Operations Analysts, Systems Integrators, Data Engineers and Scientists, Line-of-Business and IT Management

Abstract: No matter what the insurance type – health or property and casualty, commercial or private – there are three areas that require real-time decision-making capabilities for core business operations: underwriting, fraud detection and prevention, and customer adoption and retention.  All three of these business operations require real-time analytics that draw from disparate and diverse risk, trend, demographic, and other multi-variate data, often residing outside the confines of the insurance company’s proprietary data or traditional data center environment.  Join this session to review sample Actian insurance customer case studies across these three areas and how Actian provides common analytics platform components for multiple use scenarios.

Critical Questions for Non-IT Users to Consider When Moving Data Analytics to the Cloud  
Speakers: Adam Luciano, Senior Director, Product Management Avalanche Engineering, Actian
Lewis Carr, Senior Director, Product Marketing, Actian

Duration: 40 Minutes

Room/Track: Virtual Room 3/Customer Use Cases

Recommended for: Business and Operation Analysts, Engineers, Scientists, and Line-of-Business Management

Abstract: Most IT organizations are stretched and have limited time and resources to support analysts, engineers, scientists or other power users in moving their data from personal data files such as spreadsheets, offloading data from enterprise data warehouses, or accessing external data from SaaS apps, web service API-based JSON data or other data where the assumption is IT will need to do some degree of coding, allocate capacity, and ensure data sovereignty and privacy guidelines are met.  Platforms like Actian Avalanche make it possible to avoid coding data ingestion, preparation, or export to visualization and reporting tools, eliminate capacity planning, and ensure data security requirements are met.  But how do you convince IT?  What are their expectations and how to engage in the conversation?  Join this panel for a discussion of typical concerns power users should have and how to bridge the gap between IT and the rest of us when it comes to moving data analytics to the Cloud.

Modernizing Operational Analytics in the Cloud with the Avalanche Platform – Delivering Real-time Performance at Scale
Speaker: Emma McGrattan, Senior Vice President, Engineering, Actian

Duration: 30 Minutes

Room/Track: Virtual Room 1/Real-Time Decision-Making for Business Analysts and Other Power Users Part 1

Recommended for: Business and Operation Analysts, Engineers, Scientist and IT

Abstract: The age of data silos hasn’t ended, only changed into a harder problem to tackle at the same time the need to run advanced analytics on diverse and disparate datasets has only increased and moved to the Cloud.  Join this session to hear from Emma McGrattan, head of engineering at Actian, as she describes how Avalanche takes the best of enterprise data warehouse, data lake and data hub features and functionality with an eye to direct access and use by non-IT – business and operational analysts, data scientists and engineers – and packages it as a fully-managed, highly-performant, pay-as-you-go platform.

5 Critical Requirements for Delivery of Breakthrough Cloud-Based Operational Analytics 
Speaker: Adam Luciano, Senior Director, Avalanche Product Management

Duration: 30 Minutes

Room/Track: Virtual Room 1/Real-Time Decision-Making for Business Analysts and Other Power Users Part 1

Recommended for: Business and Operation Analysts, Engineers, Scientist and IT

Abstract: Affordability, ease-of-use and, of course, performance are critical decision-making factors when deciding on a Cloud Data Analytics platform to support day-to-day, real-world operational analytics.  In this session, Adam Luciano looks under the hood at what are the key requirements including separation of compute and storage, query result caching and workload management.

Better Together: A Foundational Overview of Avalanche on Google Cloud and How to Optimize for Real-World Performance
Speakers: Jeremy Hankinson, Director, Performance Engineering for Avalanche, Actian

Duration: 30 Minutes

Room/Track: Virtual Room 1/Real-Time Decision-Making for Business Analysts and Other Power Users Part 1

Recommended for: Business and Operation Analysts, Engineers, Scientist and IT

Abstract: Actian Avalanche has been redesigned from the ground-up to take advantage of Google Cloud infrastructure including the Google Kubernetes Engine, Google Cloud Storage and Google’s advanced networking.  Join this session to double click on these differentiators and why they matter for real-world performance in everyday operational analytics use cases.

An Integrated Platform for Self-Service Data Ingestion, Enrichment and Post-Processing Visualization
Speakers: Jason Wagner, Sr. Director, Cloud Architecture, Integration Engineering, Actian

Duration: 30 Minutes

Room/Track: Virtual Room 4/Operational Analytics Technical Deep Dive

Recommended for: Business and Operations Analysts, Data Integration Specialist, Data Engineers and Scientist, IT Operations and Management

Abstract: Business Analysts need better quality data from diverse and disparate sources and they need to visualize and report on that data in the tools they’ve become accustom to using: Tableau, PowerBI, Looker, Excel, to name just a few.  The problem is they don’t know how to get the data themselves and don’t want to use several tools and certainly are not about to start coding integrations.  Join this session to see Jason provide a walk-through of how Actian Avalanche can be used to pull disparate desktop Excel spreadsheets, data from an Enterprise Data Warehouse and data from a Web Service API into a unified dataset that can be queried in Avalanche and then visualized through Looker (as an example) – all from a single console, without coding or specialized training.  Take charge of your operational data analytics needs with minimal investment, IT resources or IT support.

Extending Avalanche with UDF’s to Enable ML Model Management and Other Advanced Analytics Use Cases
Speakers: Vidisha Sharma, Principal Engineer, Actian

Duration: 30 Minutes

Room/Track: Virtual Room 4/Operational Analytics Technical Deep Dive

Recommended for: Developers, Data Integration Specialist, Data Engineers and Scientist, IT Operations and Management

Abstract: User Defined Functions, or UDFs help extend built in functionality for SQL-based data analytics systems used by business analysts, engineers, and scientists.  With Avalanche and Vector, these power users can further take advantage of UDF’s by deploying ML models into their database, enabling the models and associated data to be scored directly from within the database.  Aside from simplification of process, improvements in performance are also achieved as all logic would be running from within the database. Join this session to hear a discussion and simple examples of model management using an Iris Dataset and Logistic Regression.

Modernizing Operational Analytics in the Cloud with the Avalanche Platform – Delivering Real-time Performance at Scale
Speaker: Emma McGrattan, Senior Vice President, Engineering, Actian

Duration: 30 Minutes

Room/Track: Virtual Room 1/Real-Time Decision-Making for Business Analysts and Other Power Users Part 1

Recommended for: Business and Operation Analysts, Engineers, Scientist and IT

Abstract: The age of data silos hasn’t ended, only changed into a harder problem to tackle at the same time the need to run advanced analytics on diverse and disparate datasets has only increased and moved to the Cloud.  Join this session to hear from Emma McGrattan, head of engineering at Actian, as she describes how Avalanche takes the best of enterprise data warehouse, data lake and data hub features and functionality with an eye to direct access and use by non-IT – business and operational analysts, data scientists and engineers – and packages it as a fully-managed, highly-performant, pay-as-you-go platform.

5 Critical Requirements for Delivery of Breakthrough Cloud-Based Operational Analytics 
Speaker: Adam Luciano, Senior Director, Avalanche Product Management

Duration: 30 Minutes

Room/Track: Virtual Room 1/Real-Time Decision-Making for Business Analysts and Other Power Users Part 1

Recommended for: Business and Operation Analysts, Engineers, Scientist and IT

Abstract: Affordability, ease-of-use and, of course, performance are critical decision-making factors when deciding on a Cloud Data Analytics platform to support day-to-day, real-world operational analytics.  In this session, Adam Luciano looks under the hood at what are the key requirements including separation of compute and storage, query result caching and workload management.

Better Together: A Foundational Overview of Avalanche on Google Cloud and How to Optimize for Real-World Performance
Speakers: Jeremy Hankinson, Director, Performance Engineering for Avalanche, Actian

Duration: 30 Minutes

Room/Track: Virtual Room 1/Real-Time Decision-Making for Business Analysts and Other Power Users Part 1

Recommended for: Business and Operation Analysts, Engineers, Scientist and IT

Abstract: Actian Avalanche has been redesigned from the ground-up to take advantage of Google Cloud infrastructure including the Google Kubernetes Engine, Google Cloud Storage and Google’s advanced networking.  Join this session to double click on these differentiators and why they matter for real-world performance in everyday operational analytics use cases.

Making the Journey to the Cloud at UK’s Favorite Auto Insurer, Automobile Association
Speakers: Paul Frith, Head of Underwriting Data & Systems, AA Underwirting Insurance Company Limited
Marc Potter, Chief Revenue Officer, Actian

Duration: 20 Minutes

Room/Track: Virtual Room 1/Real-Time Decision-Making for Business Analysts and Other Power Users Part 2

Recommended for: Business and Operation Analysts, Data Engineers and Scientists, and Line-of-Business and IT Management

Abstract: The AA, a leading provider of roadside assistance and home and auto insurance in the UK market is over 100 years old.  This highly trusted brand thrives in a highly competitive digital marketplace for insurance where accurate online requests for quotes must receive estimated underwriting and response within sub-second time limits.  Join this session to hear a conversation between AA’s Head of Underwriting, Paul Frith and Actian’s CRO, Marc Potter, as they discuss the AA’s journey to Cloud and how the AA has made the most of their small but agile organization and resources, leveraging Ingres, Vector, Data Flow, and now Avalanche.

Critical Questions for Non-IT Users to Consider When Moving Data Analytics to the Cloud  
Speakers: Adam Luciano, Senior Director, Product Management Avalanche Engineering, Actian
Lewis Carr, Senior Director, Product Marketing, Actian

Duration: 40 Minutes

Room/Track: Virtual Room 3/Customer Use Cases

Recommended for: Business and Operation Analysts, Engineers, Scientists, and Line-of-Business Management

Abstract: Most IT organizations are stretched and have limited time and resources to support analysts, engineers, scientists or other power users in moving their data from personal data files such as spreadsheets, offloading data from enterprise data warehouses, or accessing external data from SaaS apps, web service API-based JSON data or other data where the assumption is IT will need to do some degree of coding, allocate capacity, and ensure data sovereignty and privacy guidelines are met.  Platforms like Actian Avalanche make it possible to avoid coding data ingestion, preparation, or export to visualization and reporting tools, eliminate capacity planning, and ensure data security requirements are met.  But how do you convince IT?  What are their expectations and how to engage in the conversation?  Join this panel for a discussion of typical concerns power users should have and how to bridge the gap between IT and the rest of us when it comes to moving data analytics to the Cloud.

Modernizing Operational Analytics in the Cloud with the Avalanche Platform – Delivering Real-time Performance at Scale
Speaker: Emma McGrattan, Senior Vice President, Engineering, Actian

Duration: 30 Minutes

Room/Track: Virtual Room 1/Real-Time Decision-Making for Business Analysts and Other Power Users Part 1

Recommended for: Business and Operation Analysts, Engineers, Scientist and IT

Abstract: The age of data silos hasn’t ended, only changed into a harder problem to tackle at the same time the need to run advanced analytics on diverse and disparate datasets has only increased and moved to the Cloud.  Join this session to hear from Emma McGrattan, head of engineering at Actian, as she describes how Avalanche takes the best of enterprise data warehouse, data lake and data hub features and functionality with an eye to direct access and use by non-IT – business and operational analysts, data scientists and engineers – and packages it as a fully-managed, highly-performant, pay-as-you-go platform.

5 Critical Requirements for Delivery of Breakthrough Cloud-Based Operational Analytics 
Speaker: Adam Luciano, Senior Director, Avalanche Product Management

Duration: 30 Minutes

Room/Track: Virtual Room 1/Real-Time Decision-Making for Business Analysts and Other Power Users Part 1

Recommended for: Business and Operation Analysts, Engineers, Scientists and IT

Abstract: Affordability, ease-of-use and, of course, performance are critical decision-making factors when deciding on a Cloud Data Analytics platform to support day-to-day, real-world operational analytics.  In this session, Adam Luciano looks under the hood at what are the key requirements including separation of compute and storage, query result caching and workload management.

Better Together: A Foundational Overview of Avalanche on Google Cloud and How to Optimize for Real-World Performance
Speakers: Vikas Mathur, SVP Product Management and Strategy, Actian,
Jeremy Hankinson, Director, Performance Engineering for Avalanche, Actian

Duration: 30 Minutes

Room/Track: Virtual Room 1/Real-Time Decision-Making for Business Analysts and Other Power Users Part 1

Recommended for: Business and Operation Analysts, Engineers, Scientists and IT

Abstract: Actian Avalanche has been redesigned from the ground-up to take advantage of Google Cloud infrastructure including the Google Kubernetes Engine, Google Cloud Storage and Google’s advanced networking.  Join this session to double click on these differentiators and why they matter for real-world performance in everyday operational analytics use cases.

Using Advanced Analytics to Improve Campaign Outcomes with HCL Unica
Speakers: Mark Griner, CTO, Unica at HCL Technologies

Duration: 30 Minutes

Room/Track: Virtual Room 5/HCL Customer Analytics Solutions

Recommended for: Business and Operation Analysts, Sales, Marketing, Services and IT Management

Abstract: HCL Unica provides a comprehensive platform for omni-channel Precision Marketing @ Scale and is tapping into the power and performance Actian’s Vector Analytics database to delivering insights using machine learning. In this session you will learn how HCL Unica and Actian Vector as the data analytics engine provides advanced analytics capabilities within the Unica platform.  With these capabilities Unica marketing users will be able to leverage Data Science and Machine Learning (ML) to hyper-personalize customer communications, optimize the use of marketing channels while improving time-to-market. The session will focus on three aspects: 1) using of data available in Unica System tables in ML; 2) developing a model to predict the likelihood of the audience response to a given offer or message; 3) using ML model scores in optimization and personalization of marketing communications.

Actian Vector + Google Marketing Platform + Tensorflow = A Marketing Technology Hero
Speakers: Troy Gatchell, Global CTO, Google Cloud and CDP at HCL Software,
Gary Schoch,  VP Global GTM Leader CX and Commerce, HCL Software

Duration: 30 Minutes

Room/Track: Virtual Room 5/HCL Customer Analytics Solutions

Recommended for: Business and Operation Analysts, Data Engineers and Scientists, and IT Management

Abstract: Are you a technologist trying to help your marketing and e-commerce teams or on the business side trying to understand the technology? You’ve come to the right session. In this session, you’ll learn how combining google marketing data and 1^st party transactional data into a Vector database will accelerate your marketing intelligence. Today marketing and e-commerce business stakeholders struggle to make sense of large amounts of data across digital touchpoints and be able to act upon it in a timely manner. Technology teams are struggling to scale analytic and data science workloads to meet business demand.  Together we will review a solution architecture, Tensorflow modeling techniques, and GMP activation that will appeal both to a business and tech audience.