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Predicting the Generative AI Revolution Requires Learning From Our Past

Mar 21, 2024 By Winston Chang In Snowflake

Having frequently worked with governments around the world over the course of my career, I’ve had all kinds of discussions about the global impact of generative AI. Today, I’m publicly wading into those waters to deliver my perspective, and my opinion is that … it’s incredibly hard to predict the future. Done. Wrapped up this entire post in a single sentence.

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Introducing new BigQuery features to simplify time-series data analysis

Mar 21, 2024 By Luis Alonso In Google BigQuery

Introducing new BigQuery SQL features for performing two of the most common time-series operations: windowing and gap filling.

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6 Ways Qlik Can Improve Databricks Performance and AI Initiatives

Mar 20, 2024 By Clever Anjos In Qlik

Data engineers and architects are being asked to do more with their enterprise data than ever before. Yet, the knowledge gap between what businesses want to do with data and how they can accomplish it is growing daily—especially considering today's AI hype cycle. With all that noise in the market, it's easy to see how organizations struggle to keep pace with innovation.

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How Palo Alto Networks uses BigQuery ML to automate resource classification

Mar 20, 2024 By Gunjan Patel In Google BigQuery

Palo Alto Networks used BigQuery ML to automatically identify and label the owner, environment, and cost center for each of its cloud projects.

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New AI survey: Poor data quality leads to $406 million in losses

Mar 20, 2024 By Mark Van de Wiel In Fivetran

Underperforming AI programs/models built using low-quality or inaccurate data cost companies up to 6% of annual revenue on average.

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Source-side filtering with Fivetran

Mar 20, 2024 By Elijah Davis In Fivetran

Cloud Functions will revolutionize your data pipeline.

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Demystifying Data Strategy with Ehrar Jameel #datastrategy

Mar 20, 2024 By Cloudera In Cloudera

Join Ehrar Jameel, Head of Data and Analytics, as he demystifies the concept of data strategy in this enlightening snippet from our Art of Data Leadership series. In this segment, Ehrar delves into the fundamental question: What is a data strategy? Ready to delve deeper into the world of data leadership? Click here for the full Art of Data Leadership playlist and gain invaluable insights from Ehrar and other industry experts.

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The Modern Data Streaming Pipeline: Streaming Reference Architectures and Use Cases Across 7 Industries

Mar 20, 2024 By Shiyi Gu In Snowflake

Executives across various industries are under pressure to reach insights and make decisions quickly. This is driving the importance of streaming data and analytics, which play a crucial role in making better-informed decisions that likely lead to faster, better outcomes.

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Data Integration in the Life Sciences: Eliminate Data Silos for Good

Mar 20, 2024 By Victoria Ebel In Appian

In the life sciences industry, where breakthroughs in research and healthcare are fueled by data, data silos can be a big problem. Data silos might be caused by things like legacy systems, departmental divisions, disparate data formats, or lack of interoperability standards. Data silos can manifest at any point in the product lifecycle and make it hard for the right people to access and use the information they need, when they need it.

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Set your Data in Motion with Confluent on Google Cloud

Mar 20, 2024 By Confluent In Confluent

Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Confluent’s cloud-native offering is the foundational platform for data in motion – designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can meet the new business imperative of delivering rich, digital front-end customer experiences and transitioning to sophisticated, real-time, software-driven backend operations.

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