Thu.Dec 12, 2024

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Mainframe Data Meets AI: Reducing Bias and Enhancing Predictive Power

Precisely

Key Takeaways : The significance of using legacy systems like mainframes in modern AI. How mainframe data helps reduce bias in AI models. The challenges and solutions involved in integrating legacy data with modern AI systems. The potential benefits of these integrations. In todays rapidly evolving technological landscape, businesses across industries are constantly looking for ways to harness the power of artificial intelligence (AI) to drive better decision-making, enhance customer experiences

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3 Steps to AI-Ready Data

Monte Carlo

If it seems like literally everyone and their CEO wants to build GenAI products, youre absolutely right. In our latest survey on the state of data reliability, nearly 100% of data leaders said they feel pressure from their own leadership to implement a GenAI strategy or deliver GenAI products. But data leaders understand something thats often lost on most C-Suites: GenAI products are only as valuable as the first-party data that powers it and that data is only as valuable as it is reliable.

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Alternatives to Azure Document Intelligence Studio: Exploring Powerful Document Analysis Tools

Seattle Data Guy

Document Intelligence Studio is a data extraction tool that can pull unstructured data from diverse documents, including invoices, contracts, bank statements, pay stubs, and health insurance cards. The cloud-based tool from Microsoft Azure comes with several prebuilt models designed to extract data from popular document types. However, you can also use labeled datasets to train… Read more The post Alternatives to Azure Document Intelligence Studio: Exploring Powerful Document Analysis Tool

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Making AI More Accessible: Up to 80% Cost Savings with Meta Llama 3.3 on Databricks

databricks

As enterprises build agent systems to deliver high quality AI apps, we continue to deliver optimizations to deliver best overall cost-efficiency for our.

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Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

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Value-Focused Data Leaders to Watch in 2025

Snowflake

As organizations mature in their execution of data and AI initiatives, a burning question remains: How do we measure the effectiveness of our teams and our impact on the business? This isnt the perennial Whats my data worth? dilemma often asked rhetorically and answered theoretically. Todays challenge is concrete: to define and track the metrics used to justify continued investment in data and AI innovation.

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Building Industry-leading AI Models for Universal Speech Intelligence

databricks

We just followed the documentation online, and within a few hours, we were operational and started running a job. We never had any.

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Preparing for the Holiday Season with More Personalized Marketing Content

databricks

In this first part of a two-part blog series, we demonstrate how generative AI coupled with customer data can help marketing teams generate.

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Revisiting Compute Scaling

Yelp Engineering

As mentioned in our earlier blog post Fine-tuning AWS ASGs with Attribute Based Instance Selection, we recently embarked on an exciting journey to enhance our Kubernetes clusters node autoscaler infrastructure. In this blog post, well delve into the rationale behind transitioning from our internally developed Clusterman autoscaler to AWS Karpenter. Join us as we explore the reasons for our switch, address the challenges with Clusterman, and embrace the opportunities with Karpenter.

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The Power of Data Streaming in Digital-Native Organizations: A Look Inside AppDirect

Confluent

See how digital-native company AppDirect uses a data streaming platform to fuel its cloud service commerce platform and build game-changing generative AI features.

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This Year in Crypto: 2024

Robinhood

2024 was an important year for Robinhood Cryptoand for the entire crypto industry. As we celebrate the first anniversary of the launch of Robinhood Crypto in Europe , lets take a look back at the milestones weve achieved together. From launching new features to expanding into new markets, 2024 was all about helping more people start their crypto journey and do more with crypto.

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Agent Tooling: Connecting AI to Your Tools, Systems & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

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Cloudera Commits to CISA’s “Secure by Design” Pledge, Strengthening Security for Our Customers

Cloudera

Were proud to announce that Cloudera signed the Cybersecurity and Infrastructure Security Agency (CISA) Secure by Design pledge , joining a network of industry leaders dedicated to embedding security at every stage of the product lifecycle. To be good stewards of our customers data, it is critical for security to be a fundamental component of every product and service we offernot just an afterthought.

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How to build a mixed reality headset

Engineering at Meta

How do you take a mixed reality (MR) headset from idea to finished product? Alfred Jones, VP of hardware engineering at Meta Reality Labs, joins Pascal Hartig ( @passy ) on the latest episode of the Meta Tech Podcast for a discussion on the realities (no pun intended) of building MR hardware. Jones shares his strategy for avoiding choice paralysis. With so many options out there, how do you choose the right display technology, battery, and thermal budget (and do so at the right price point)?