Key Highlights of Google Cloud Next ’23

On August 29, Google Cloud Next ’23 will get underway! The future of cloud computing will be shaped by the collaborative efforts of members of a worldwide community that includes builders, innovators, developers, learners, and leaders. In addition, this year’s event will be jam-packed with intriguing new information for data professionals, including keynotes delivered by Google Cloud subject matter experts as well as customer and technical breakout sessions.

You don’t need to look any farther if you want to learn how to make data-driven decisions that have an impact on your business while simultaneously designing unified, open, and intelligent applications that help deliver outstanding customer experiences. These lessons will be taught by professionals in the industry as well as real-world customers.

At Google Cloud Next ’23, the following ten sessions are absolute must-sees for anybody working in the data industry:

What is ahead for Google Cloud databases?

Find out more about the most recent developments that will assist you in breaking free from old and proprietary databases, assisting you in unifying your analytical and transactional workloads, and enabling you to introduce AI and machine learning to your database workloads. During this event, we will also discuss our vision for Google Cloud databases and generative AI, emphasizing methods in which you may complete your data management responsibilities more quickly.

What lies ahead for AI and data? • SPTL203

Harnessing the potential of generative artificial intelligence in a responsible manner may open up new doors of opportunity. Generative AI marks a revolution in the paradigm for digital transformation. However, many companies are unable to activate data and AI because their data systems for analytics, AI, and machine learning are fragmented. These data systems weren’t built to function together and instead impede down innovation. Discover how thought leaders are speeding up change with the help of Google’s data and AI cloud in this presentation.

Run ad hoc searches and data exports on Cloud Spanner without any consequence

Find out how to conduct ad hoc batch queries or export terabytes of data on demand from your Cloud Spanner database without having an effect on the apps that are crucial to your company’s operations. During this session, we will discuss how the most recent developments in Spanner make it possible for you to provide access to vital operational data for all users, regardless of how or when they need it, so that they may make real-time choices on their businesses.

BigQuery’s latest features include ANA100

Discover how BigQuery is driving changes in enterprises and assisting them in the construction of data ecosystems. You will be updated along the way with information on the most recent product announcements made by BigQuery, planned advancements, and its strategic roadmap.

Databases in the future with generative AI • DBS301

By using pre-trained models and doing away with the need for in-depth knowledge of machine learning, generative artificial intelligence (AI) is giving developers the ability to construct new user experiences straight into their current apps. Because of this, every application will eventually include some kind of artificial intelligence (AI), and every developer working on applications will need to expand their skills in this area. During this presentation, you will learn about the future of Google’s managed databases, which will be the driving force behind the creation of AI applications and will also use AI to become fundamentally simpler to use.

Where do we stand with the open lake? • ANA105

In this session, you will learn how Google is extending the benefits of the lakehouse architecture into an end-to-end analytics lakehouse. This will enable organizations to both extract data in real time – regardless of which cloud or datastore the data resides in – and to use it in aggregate for greater insight and AI with tools and features anchored on openness, choice, and simplicity. In addition, you will learn how Google is extending the benefits of the lakehouse architecture into an end-to-end analytics lakehouse.

An in-depth look at AlloyDB.DBS210 with PostgreSQL as only Google can provide it

Join us for an in-depth discussion of AlloyDB for PostgreSQL, a completely compatible PostgreSQL database that excels in terms of speed, availability, and scalability. We will discuss some of the issues that our customers who use PostgreSQL have brought to our attention, as well as the solutions that AlloyDB provides for these issues. Additionally, we will concentrate on autonomous management systems that are based on artificial intelligence and machine learning; intelligent storage; enhanced caching; and dynamic workload-aware data structuring.

How Alaska Airlines is leveraging data and AI to change the customer experience • ANA119

During this presentation, we will hear from Alaska Airlines, the fifth biggest airline in the United States, about their digital innovation strategy and how they are harnessing the data and artificial intelligence capabilities of Google Cloud to create tailored experiences across the trip experience. Alaska Airlines is ranked fifth in size among all airlines in the United States.

Five excellent practices for using Cloud SQL to enable highly available apps

Run your mission-critical applications with complete assurance on Cloud SQL by following the tried-and-true best practices that the most successful Google Cloud clients depend on for their corporate workloads. During this session, we will go further into the best practices for rightsizing your Cloud SQL instances for optimal performance. Additionally, we will set up high availability and disaster recovery with seamless connection and backup management to ensure the continuation of your company.

What recent developments in GenAI are there in business intelligence?

When done correctly, business intelligence provides insights to your users, clients, and customers in your setting and apps. In almost every business, the generative AI revolution is offering quicker answers and accelerated actions. Listen to Google’s Kate Wright discuss Looker’s future and our strategy for riding the crest of the generative AI wave as we help get you ready for the future of analytics and discovery.