Name: Optimizing Databricks from Migration to Mastery
Start: 2024-05-20T16:30:00Z
End: 2024-05-20T16:30:40.000Z
Location: BrightTALK
Rating: 0

As we adapt to the rapidly growing demand for AI applications, significant challenges are bound to arise. Streamlining the process of machine learning, complying with regulatory frameworks worldwide, ensuring security and privacy, and controlling cloud computing costs have become increasingly crucial priorities. Your work is instrumental in overcoming these challenges.

The tools you use matter, and the foundation you build on matters even more. With the Intel® Tiber™ portfolio, we’re partnering with our customers to harness the power of AI and other cutting-edge technologies to move the world forward, embrace limitless opportunities, and build a resilient future for all.

Intel, the Intel logo and Intel Tiber are trademarks of Intel Corporation or its subsidiaries​.

Join us for an upcoming webinar to learn how you can enhance data security and trustworthy AI with Intel® Tiber™ Trust Services and Noname Security. In today's digital age, enterprise organizations are adopting multi-cloud and hybrid cloud services at an unprecedented rate, making it crucial to protect sensitive data in use, as well as data at rest and in transit. That's where Intel Tiber Trust Services and Noname comes in, offering a revolutionary approach to data security that extends zero trust to the workload providing higher confidence and stronger end-to-end protection for your data in the cloud.

Secured Workloads: Intel® Tiber™ Trust Services and Noname Security

Seekr*, whose customers include Moderna*, SimpliSafe*, Babbel*, Constant Contact*, and Indeed*, moved its production workloads from on-premises to Intel® Tiber™ Developer Cloud, thereby meeting the enormous demand for compute capacity at a fraction of the cost and with exceptionally high workload performance.

Results: 2x inference volume throughput, 20% speed increase, and 50% faster inference.

"For our business to grow, we quickly realized we needed a reliable compute partner that could address the massive compute requirements for Seekr’s foundation AI models. After extensive testing and benchmarking across different platforms, we chose to partner with Intel® Developer Cloud."

– Rob Clark, president and CTO, Seekr

Seekr* Grows Trustworthy LLM Business with Intel® Tiber™ Developer Cloud

The most popular cloud service providers (CSP) and Intel have long partnered to deliver state-of-the-art, cloud-based solutions spanning AI, HPC, confidential computing, and more for individuals and enterprises alike.

This session focuses on AI solutions.

Learn how to enable and use Intel®-optimized deep learning and classical machine learning frameworks and libraries in Amazon Web Services (AWS)*, Google Cloud Platform* service, Microsoft Azure*, and Intel® Developer Cloud.

This session covers:

An introduction to Intel’s free, open source AI software development tools
How to enable these tools in the various cloud platforms
An overview of the available Intel hardware available in the CSPs

How to Use Intel®-Optimized AI Software in the Cloud

There are limited heterogeneous computing opportunities for Python* developers. Data Parallel Extensions for Python* language addresses this issue by bringing the power of SYCL* to Python users. The extensions extend numerical Python capabilities beyond CPUs, enabling high-performance gains on data parallel devices like GPUs.

This session walks you through how to use the extensions, ultimately enabling you to offload Python data and workloads to any SYCL device, such as GPUs, with little code effort.

This session shows how to:

Use the extensions for open source heterogeneous computing and compilation.
Write SYCL kernels in Python.
Use a just-in-time (JIT) compilation in Python on any SYCL device for near-native performance
Achieve data interoperability and scale via powerful drop-in replacements for NumPy and Numba*.
The session includes technical demos that showcase the Data Parallel Extensions for Python language in action, including the speedups at every step.

Heterogeneous Programming for Python Developers

Granulate - No code changes, great performance improvements and cloud cost reduction. 

Cut infrastructure costs and improve application performance with Autonomous Continuous Workload Optimization - with 0 code changes. Learn more in this session.

What is Granulate? Intel Software

This live session covers:
- How Amazon handled Prime Day
- What you can learn for Black Friday

And more.

Top Strategies to Survive Customer Surges

Tiber App-Level Optimization Series

Get the Big Picture of Big Data. Hear from Deloitte and Intel experts about the trends driving demand for FinOps solutions for data platforms in 2024.
Join us to learn:

- Databricks optimization journey: migration, adoption and maturity
- Best practices for improving Databricks performance and cutting costs
- Full-stack FinOps for Big Data workloads: CloudBilling 360 by Deloitte and Intel Granulate

And more.

Optimizing Databricks from Migration to Mastery

Databricks

Big Data

FinOps

Data Migration

Data Best Practices

Data Architecture

Cloud computing has exploded over the past few years, delivering a previously unimagined level of workplace mobility and flexibility. The cloud computing community on BrightTALK is made up of thousands of engaged professionals learning from the latest cloud computing research and resources. Join the community to expand your cloud computing knowledge and have your questions answered in live sessions with industry experts and vendor representatives.

Cloud Computing

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Optimizing Databricks from Migration to Mastery

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