WEKA Presents at AIFD3

WEKA: The Challenge of Working with AI and Next-Gen Workloads

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A convergence of forces is driving rapid maturation in the AI market: As the global pandemic accelerated the digital initiatives of nearly every enterprise on the planet, AI has now become a strategic imperative for modern businesses and research organizations. A new wave of accelerated compute products are being rapidly adopted by enterprises – delivering 10-100x the performance of traditional CPUs, massive increases in DNN models and creating a Cambrian explosion in AI. But running AI projects at scale requires huge amounts of data, and many organizations are struggling to fuel these digital transformation engines with enough data to realize the full promise of AI/ML and move their business initiatives and research projects forward. Enter WEKA.

In this session, Dave will discuss the challenges WEKA customers face as they look to implement their AI and ML indicatives, providing context for why WEKA developed its Data Platform for AI solution.

Personnel: David Gilinsky

The WEKA Data Platform for AI Solution

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Running AI and ML projects at enterprise scale requires huge amounts of data – many organizations struggle to fuel these digital transformation engines with enough data to realize the full promise of AI and move their initiatives forward. A key reason is their legacy data infrastructure, which is simply not equipped to support the performance and scalability demands of modern workloads like AI/ML and cloud, is holding them back. Enter WEKA.

In this session, Colin will discuss how WEKA’s Data Platform for AI is helping to solve for decades of data infrastructure compromise with a software-based data platform that is purpose-built to streamline and accelerate the data pipelines that fuel AI/ML engines and other next-generation workloads.

Personnel: Colin Gallagher

Architecting the WEKA Solution: Why a Unified Data Plane Is Critical to Optimize AI Workloads

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For next generation workloads like AI and ML to power the next evolutionary leap in business transformation or research innovation, they need to be able to do more.

AI can support enterprise scale requirements – if the data is there. But without a highly scalable modern data platform to rapidly process huge volumes of data and meet AI’s punishing performance demands, it cannot deliver on its full promise and potential.

In this session, Shimon Ben-David will discuss why WEKA decided to build a modern data plane architecture, and how it provides the critical underpinnings for organizations looking to achieve first to market results with their AI and ML deployments.

Personnel: Shimon Ben-David

Turning Science Fiction Into Science Fact: WEKA Customer Cases

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WEKA helps organizations to overcome the performance, scale and data management challenges of next generation workloads and move their mission-critical business initiatives and research projects forward.

In this session, Efraim Grynberg will share stories from real WEKA customers that are using the WEKA Data Platform to achieve first to market results with their AI and ML.

Personnel: Efraim Grynberg