Name: 8 significant Data and AI Trends for 2023 & Beyond
Start: 2023-06-07T20:18:00Z
End: 2023-06-07T20:18:47.000Z
Location: BrightTALK
Rating: 0

Google’s Data and AI Cloud is not only the most complete and unified data analytics and AI solution provider in the market but also a total-cost-of-ownership (TCO) leader. Learn more about Google Data Cloud and how it can help you transform your business.  It supports various data use cases (e.g. applications, analytics, predictions, visualizations) through products that cater to different data personas (e.g. application developers and system builders, data engineers and data analysts, data scientists and ML engineers, and business users).


Looker is Google Cloud’s enterprise business intelligence (BI) platform that enables organizations to make better business decisions faster. Join this live webinar to learn about our latest product innovations, including a single unified BI offering, new features around generative AI, and new capabilities for the Looker Platform.

During this webinar we will discuss our latest product vision and roadmap, and how Looker is helping customers to:

> Accelerate time to insights with a modern, cloud-native platform
> Democratize data access and empower users to explore data on their own with ease
> Drive business transformation with actionable insights

AI for BI Innovation Roadmap Webinar

Join us to learn about the latest innovations, strategy and plans for Google Cloud databases including AlloyDB, Cloud SQL, Spanner, Bigtable, Firestore, Memorystore, Database Migration Services (DMS) and Datastream.

>   Intro/Welcome
>   Database Strategy & Vision
>   Database Services Vision & Roadmap
>   Closing Remarks

Google Cloud Databases Innovation Roadmap Webinar

Join us to learn more about recent innovations, strategy, and plans for BigQuery, Streaming Analytics, Data Lakes, Data Integration, AI/ML and more.

>   Intro/Welcome
>   State of the Market & Investment Themes
>   BigQuery Vision & Roadmap
>   Closing Remarks

Google Cloud Data Analytics Innovation Roadmap Webinar

In today's dynamic cloud landscape, maintaining a strong security posture is paramount. Google Cloud's Security Foundation offers a comprehensive set of cloud-first security controls to address common cloud adoption use cases.

In this webinar, learn about the recommended security products and capabilities to build a strong layered defense architecture. We will delve into four key use cases and showcase how Security Foundation can help you secure:

> AI & GenAI: Secure AI workloads and address prompt injections, AI model theft & more
> Infrastructure Modernization: Protect VMs and containers and address risks like crypto mining and unauthorized access.
> Application Modernization: Shift left with vulnerability detection, supply chain security, and runtime protections.
> Data & Analytics: Maintain data governance, identify, categorize, and control access to your data.

How to secure your sensitive data in Google Cloud?

Drive growth with embedded analytics, and accelerate time to value of your embedded apps with consistent, live metrics while retaining complete control of the user experience
• Quickly build embedded analytics applications with an API-first, composable data platform
• Create intuitive and customized user experiences, maintaining control of your data and how users experience it
• Innovate with generative AI by integrating LLMs into your data products, backed by Looker’s trusted metrics

Monetize data with embedded analytics and generative AI

In today's fast-paced, digital world, enterprises require modern databases that are not only powerful and secure but also highly available, easy to manage, scale, and ready to support our gen AI driven future. Join us for this insightful webinar to explore the value of fully managed Cloud SQL and how it can help you achieve improved performance, increase data security, and access higher availability for your mission-critical applications, while freeing your IT team to focus on what matters most. Hear firsthand how Workday boosted performance with Cloud SQL to support their evolving business.

Modernize Your Database with Cloud SQL: Reduce Costs and Boost Performance

As a database professional, you’ll be impressed by how much AI-powered assistance can change the way you work. Gemini simplifies every stage of the database journey, from development and performance optimization to fleet management, governance, and migration. In this session, we'll cover how generative AI can transform your database workflow and offer insights into database performance, security, reliability, and cost. We’ll use development-oriented and administration-oriented examples to show how Google Cloud databases can help you to build without limits.

How Gemini makes it easier to develop and manage databases using AI

Data teams often struggle with the complexity of managing multimodal data along with multiple tools for processing, analyzing and governing data. Learn how a unified data and AI platform like BigQuery can simplify your data journey and accelerate AI innovation. Hear about the latest innovations in real-time ML, governance, security and more to help you deliver timely insights and informed decision-making. Learn how to build data agents grounded in your enterprise data with language models (LLMs) hosted in Vertex AI with native BigQuery integrations.

Use BigQuery to connect all your data to AI

Unlock the potential of generative AI in your applications with Google Cloud's robust database solutions. Discover how AlloyDB, Cloud SQL, Spanner, and more offer built-in integrations with vectors, models, and data. Explore the benefits of fast and powerful vector search, seamless integration with Vertex AI and popular open source tools like LangChain, and direct access to Gemini and other cutting-edge AI models. We'll dive into a real-world generative AI application to understand how it leverages operational data to deliver accurate and relevant responses

Build new and exciting gen AI apps with Google Cloud databases

In the age of data overload, traditional BI tools often create barriers to insight. Looker's AI-driven platform is changing the game. This presentation showcases Looker data agents that empower users to explore data using natural language, and AI capabilities that automate insights and recommendations. Discover how Looker is democratizing access to data and transforming decision-making for organizations of all sizes.

Chat with your data for AI-powered insights

The data to insights journey can be fragmented, complex and time consuming. Data teams spend time on repetitive and routine tasks such as ingesting structured and unstructured data, wrangling data in preparation for analysis, and optimizing and maintaining pipelines. Join this session to learn how Gemini in BigQuery can supercharge your analytics with AI-powered experiences such as data preparation, analysis and engineering throughout the data journey, as well as intelligent recommendations to enhance user productivity and optimize costs.

Boost data analysis with Gemini right within BigQuery

Maximize the potential of your real-time data and accelerate AI/ML with multimodal streaming data. Join this webinar to learn how Google Cloud's managed streaming platform, Dataflow, can help your data engineering team bring the power of real-time for advanced data and AI streaming use cases. Hear from Google Cloud Dataflow customer Transmit Security on how they bulit a cutting-edge fraud detection system with Google Cloud streaming ML product Dataflow, leveraging the power of cloud computing and advanced analytics to move beyond traditional rule-based systems to a more dynamic, AI-driven model that can identify and respond to threats as they emerge.

Real-Time Data, Real-World AI

Modern applications need speed, scalability, and advanced capabilities to handle the influx of data and meet today’s user expectations. In this session, you will discover how in-memory databases are essential for addressing these business challenges. Additionally, Moloco will share their various use-cases for Memorystore

The Need for Speed in Modern Applications

Data analytics is transforming as organizations increasingly embrace AI and ML. Join us for an interactive digital roundtable discussion in which Google Cloud leaders explore the evolving landscape of data and AI with industry analyst Doug Henschen, VP at Constellation Research. You’ll learn about the latest trends shaping the industry, the challenges organizations face in harnessing the power of data and AI, and Google Cloud's unique perspective on addressing these challenges.

Key Discussion Points:

- Trends in Data & AI: Uncover emerging trends in data analytics and AI/ML that are transforming businesses across industries.
- Customer Challenges: Gain insights into the common pain points organizations encounter when implementing data and AI solutions, such as data silos, talent shortages, and integration complexities.
- Real-world solutions: Hear directly from Google Cloud experts on how leading organizations are tackling these challenges head-on.
- Evaluation criteria: Understand the key factors to consider when evaluating analytics and AI platforms.

This is your chance to engage in a candid conversation with industry analysts and Google Cloud leaders, gaining valuable insights and perspectives to inform your own data and AI strategies. Register today and be part of this enlightening discussion!

Exploring the Data & AI Landscape: Unveiling Industry Trends, Practical Challenges, and Expert Insights

Data is the fuel for AI, and what powers its effectiveness. To truly take advantage of generative AI in your organization, you need the ability to access, manage, and activate your structured and unstructured data across a variety of systems.

Join Google Cloud's Sami Akbay, Head of Outbound Product Management, Data and Analytics, and Joyeeta Banerjee, Data Analytics Head of Solution Value Advisory, as they discuss the benefits of connecting all your data to AI to empower customers to make more insightful decisions, act faster, and drive better business outcomes.

Get the ins and outs from these data and AI experts to accelerate your journey and discover what steps your organization should take to tap into AI.

Is your data strategy built for AI?

Generative AI is rapidly transforming how businesses operate. But how can leaders measure ROI on a constantly evolving technology? Join leaders and industry innovators as they reveal how proven strategies and quick wins are driving immediate value while laying the foundation for future breakthroughs. Learn how to prioritize today's proven use cases, manage the nuance of measurement, and build your own roadmap to generative AI ROI.

How to Build Your Optimal Gen AI Roadmap for ROI

The first step to building all-new customer experiences is to select the operational database that will power your application and, in essence, run your business. Google Cloud databases help you transform the customer experience and unlock the full potential of generative AI, setting the stage for your AI-powered applications.

Join our product management leadership for this exclusive live session to learn about the latest innovations, strategy and plans for Google Cloud databases, such as how we are infusing generative AI into databases and Gemini in Databases. Hear directly from the experts who are shaping the future of AlloyDB, Cloud SQL, Spanner, Bigtable, Firestore, Memorystore, Database Migration Service (DMS) and Datastream.

Databases Roadmap 2024: Innovations for the gen AI era

By 2026, 7 PB of data will be generated per second globally and the number of data-generating devices will continue to grow 6% annually (Source: IDC Global DataSphere). These booming data production volumes and an overwhelming imperative for organizations to be data-driven coalesce into one singularity: data intelligence is more important than ever.

In the spirit of these ever-evolving data dynamics, Google Cloud’s Bruno Aziza sits down with Vikas Kumar from CNA Insurance and IDC VP Dan Vesset to distill 8 data and artificial intelligence (AI) trends impacting organizations in 2023 and beyond.

Tune into the session to discover the latest trends in data risk and compliance, big data and analytics spending, AI maturity, and more.

8 significant Data and AI Trends for 2023 & Beyond

Artificial Intelligence

Machine Learning

AIOps

Data Modeling

Data Science

Analytics

Data Analytics

Data Protection

Big Data

Big Data Analytics

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8 significant Data and AI Trends for 2023 & Beyond

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