Your guide to all things AI & ML at Google Cloud Next

Mark your calendars—Google Cloud Next is coming October 12–14, 2021.

We’ll kick off each day with a live broadcast and keynote to showcase our latest launches and share how customers and partners are tackling today’s greatest business challenges. You can also participate in online interactive experiences and attend on-demand sessions that align with your interests and schedule. 

Overall, we’ve designed Next ’21 as a customizable digital adventure to allow for a more personalized experience. If you’re anything like me, you’ll be tuning in to learn more about AI and ML. And good news—we have a lot to share! Below is your guide to my top recommendations for AI and ML content. Whether you want to hear directly from our customers about applying AI to real challenges, learn more about our newest products and announcements, or get hands on with training opportunities, we’ve got you covered.

Plus, Google Cloud Next is free this year, so the experience is inclusive and accessible to everyone. Register now! 

Level Up Data Analytics with AI

With organizations investing rapidly in their AI/ML strategies, Google Cloud is doubling down on our commitment to meet customers where they are. Whether that means making it easier to build custom ML models or providing out-of-box AI capabilities built for specific use cases, our goal is to accelerate our customers’ paths from AI investment to improved business outcomes. . Within the Data Analytics and AI sessions at Next, learn how customers are finding success with Vertex AI, and discover new product announcements that will transform the way your data end users ingest and analyze data and deploy ML models. 

Sessions

AI102: Why Vertex AI is even easier for developers

DA200: Build an interactive machine learning application with Looker and Vertex AI

GCD118: The State of Data Science and Machine Learning in 2021

Learning Labs 

HOL103: Vertex AI: Qwik Start

HOL104: Build an AutoML forecasting model with Vertex AI

GCD103: Data Science with Vertex AI

Speaker Spotlight

Jaime Espinosa, Senior PM, Machine Learning, Twitter 
Jaime’s career as a Product Manager is focused on ML and/or Platforms, and he’s educated as a technology generalist, with multiple engineering degrees focused on end-to-end systems. He has delivered ML-based products for scientific computing, sales, real-estate, robotics, business intelligence, HPC, and CPU design. Often working from ideation to delivery, he has worked on eight platforms, including the first serverless product. Jaime has led six ML platforms at Microsoft, Intel, Algorithmia, and Twitter. Jaime joins the panel discussion AI102: Why Vertex AI is even easier for developers.

Matt Ferrari, Head of Ad Tech, Customer Intelligence, and Machine Learning, Wayfair
Matt Ferrari has more than 15 years of executive experience, with the last 10 as a C-suite executive in the cloud managed services and healthcare SaaS ecosystem spaces. Presently, Matt is the Head of Martech and Data/Machine Learning Platforms, where he leads both the Product and Engineering strategy for Adtech, Customer Intelligence, and Machine Learning organizations. Prior, Matt was CTO and co-founder of ClearDATA, where he was responsible for the strategy and execution of the company’s healthcare technology platform and services. He also oversaw strategy and corporate development, ensuring the differentiation of ClearDATA’s vision and strategic roadmap. Matt has also led product management, product development, engineering, and solution architecture. Matt joins the panel discussion AI102: Why Vertex AI is even easier for developers.

Reimagine Customer Experience with Conversational AI

Providing great customer experience is a pivotal part of gaining and retaining customers. From virtual customer service agents to AI designed to extract insights from call center transcripts, learn  how our Conversational AI products can help your business serve more customers in a more personalized and efficient manner. Hear how our customers have used products like Contact Center AI to improve their customer satisfaction scores, reduce time-to-resolution for call center inquiries, and reduce costs. 

Sessions

AI103: Using CCAI insights to better understand your customers

AI104: Customer impact with Conversational AI

GWS105: Drive results by transforming the customer experience with AI-powered Business Messages

Learning Labs

HOL102: Design Conversational Flows for your Agent

Speaker Spotlight

Dinesh Mahtani, Director, Digital Analytics and Insights, TELUS
Dinesh leads the Data Analytics team at TELUS Digital. The team’s mandate is to create a platform of integrated capabilities across data, machine learning and targeting that allow TELUS to deliver personalized experiences across channels including TELUS.com and the MyTELUS app. The team’s goal is to leverage data to simplify their customers’ experience and unlock key outcomes for TELUS. View Dinesh’s session here.

Unlocking the Power of Unstructured Data with Document AI

Every enterprise is focused on turning unstructured data, which lacks the metadata and organization required for analysis, into structured data from which insights can be extracted. Google Cloud Document AI platform is built on decades of AI innovation at Google and gives customers the power to digitize document workflows and analyze the information that documents contain. Join us at Next 2021 to gain a holistic understanding of our AI strategy around helping enterprises unlock value from unstructured data. 

Sessions

AI100: Google Cloud and Ironclad partner to accelerate document workflows

A1200: Process billions of pages and cut operational costs with DocAI

DEV202: AI-powered applications with Google Cloud

Learning Labs

HOL100: Form Parsing Using Document AI

HOL101: Process Procurement Documents Asynchronously using the Document AI API

Speaker Spotlight

Nadia Aqsa, Sr. Outbound Product Manager, Workday 
Nadia Aqsa is the face of Workday Expenses to customers, partners, and go-to-market teams such as Sales, Services, Marketing, Support, and Education. She is passionate about solving customer pain-points and helping them get the most out of their Workday experience. She also leads product adoption initiatives, chairs the product advisory council, and regularly hosts live webinars to engage with customers. View Nadia’s session here.

More AI Content

Still hungry for more AI? We aim to please! Here are some of the other sessions at Next 2021 that cover critical AI topics like Translation, Sustainability, AI & ML Next Gen Infrastructure, Vision, Voice, Text, Speech, and more. Take a look! 

Sessions

AI201: Eli Lilly uses Cloud Translation to translate content globally

AI300: Achieve system-level sustainable change with AI and ML

AI105: What’s new and what’s next with infrastructure for AI and ML

SPTL102: Data Cloud: Simply transform with a universal data platform [Spotlight]

DEVKEY1: Developer Keynote with Urs Holzle, SVP, Technical Infrastructure, Google Cloud [Keynote] 

Learning Labs

GCD104: Bring the power of senses to your applications with Cloud AI

LP106: Machine learning and AI learning path

Speaker Spotlight

Thomas Griffin, Translation Tech Lead & Global Regulatory Architect, Eli Lilly
Thomas is a technologist and software engineer that is currently focused on cloud enablement and adoption within Eli Lilly’s Medicines Development organisation. See Thomas’ session here.

Check out all our AI & ML sessions and stay tuned for some exciting announcements. We can’t wait for you to join us at Google Cloud Next.