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GERRIT KAZMAIER: Hi.
It's so great to see you.
I'm Gerrit Kazmaier.
I'm the Vice President and General
Manager of Data and Analytics at Google Cloud.
We have been on a journey together, with many of you
to move beyond traditional analytics
and unlock the value of your data
with BigQuery, Looker, and Vertex AI.
I want to make a big shout-out to all of you--
the 10s of thousands of BigQuery customers
who are running billions of queries a day.
The big opportunity ahead all of us
is to activate AI with your data to harness its power
for your business and to ultimately unlock
the real value your data holds.
The solution?
It is a new approach to data analytics
where we think of data analytics as a platform,
where we think of AI as an integral component to data
analytics, and where we use AI to transform BI.
So let us take a look what it means to think of analytics
as a unified platform.
Please welcome Irina Farooq, Senior Director
of Product Management for Data and Analytics.
IRINA FAROOQ: One of your biggest competitive advantages
is the combination of your business data and LLMs,
but how your data is governed, scaled, and applied matters.
It's about moving beyond the limitations
of traditional systems to an AI-ready data foundation.
In the past year, we've delivered
over 350 new innovations across our product and analytics
services.
And today, we're excited to announce that BigQuery
will be the single integrated platform for your data-to-AI
journey.
BigQuery is Google Cloud's fully managed and completely
serverless data and analytics platform,
which helps you maximize value from all of your data.
It is now also designed to be multi-modal, multi-engine,
and multi-cloud.
Now, let's hear from Yasmeen Ahmad, Managing Director
of Data Analytics, on how BigQuery enables your data teams
to work from data to AI to applications without boundaries.
Welcome, Yasmeen.
YASMEEN AHMAD: Generative AI combined with your enterprise
data is the magic we've all been dreaming about.
We can now make the 90% of unstructured data
that's largely been unuseful useful.
And we're working to help accelerate
data teams to get to the real insights
that our businesses need.
Well, BigQuery, our unified AI-ready data platform,
now has direct integration with Vertex AI,
providing access to Gemini, our multimodal AI.
By running large language models natively within BigQuery,
you can get all of the efficiencies, scale,
and management of BigQuery while your data
stays private and secure.
Well, BigQuery is the first data platform
to offer tuning of multimodal LLMs
by giving easy access to enterprise data
from within BigQuery for prompting and
retrieval-augmented generation.
We have also added the ability to provide context
to large language models through customized LoRA adapters.
So now, let's move to talking about those talented yet
overworked data teams.
Gemini in BigQuery is the missing tool
you never knew you could have.
To assist data teams across the data lifecycle,
we have several new innovations that
bring the power of GenAI capabilities
to your data teams embedded in the way they work.
Now, what makes Gemini and BigQuery unique
is its context-aware, assistive capabilities,
and agent-like capabilities that are always on.
What gives Gemini the ability to be context-aware
is its access to semantics, usage history, metadata.
And context is going to be critical
for large language model accuracy and for adoption of AI
across enterprises.
So directly in BigQuery, data teams
can now gain assistance for writing
SQL code, Python with real-time suggestions,
returning hundreds of hours back to the enterprise.
So now, with an AI-ready data cloud,
we are able to extend insights further to democratize data
to our business users.
So I'd like to now turn it over to Kate Wright
to talk about how we are moving beyond dashboards
with generative AI that can help you chat with your business
data.
KATE WRIGHT: GenAI is creating new opportunities
for organizations to give meaningful data to end users
when they need it without limits.
This always-on intelligence is where we help
you move beyond BI and into AI.
Today, we are excited to announce that customers can now
access preview capabilities for Gemini in Looker.
This makes analytical tasks easier and speeds workflows.
It also allows for better data fluency
across your organization.
So you can chat with your data and more easily collaborate.
Now, you can effortlessly generate modeling code
with LookML Assistant, streamline, formula, and report
creation, and more easily bring your insights
to others with automatic slide generation.
We are even re-envisioning BI to be infused with GenAI
and using the magic of Google to provide a virtual data
analyst to every employee.
That's your foundation of your AI success.
GERRIT KAZMAIER: I also want to thank all of our partners.
We couldn't be the most open data cloud
without our incredible partners, like MongoDB, Elastic,
Confluent, Collibra, and our more than 1,000 software
partners that power their application
using Google's Data Cloud.
At Google, we have a big vision that we
can go beyond our own human limitations
in analyzing data to data agents that will find deeply hidden
patterns and turn them into new business value for us.
I have never been more excited to be a part of this team
and to be working with all of you,
our customers, and partners.
Thank you so much, and enjoy the rest of Next.
Thank you.
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