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Platform Product Management Versus Platform Engineering

Forrester IT

I just got back from the DevOps Enterprise Summit, which, as usual, was one of the best conferences ever. Today, I want to talk about platforms; in particular, there’s been a bit of a flurry lately about “platform engineering.” […]. Product and platform management were hot topics there, as they’ve been for the last few years.

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Salesforce’s Einstein 1 platform to get new prompt-engineering features

CIO Business Intelligence

Salesforce is working on adding two new prompt engineering features to its Einstein 1 platform to speed up the development of generative AI applications in the enterprise, a top executive of the company said. How do Einstein 1’s new prompt-engineering features work?

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Ex-Amazon and Airbnb engineers raise $1.25M for enterprise AI agent developer Cimba.ai

GeekWire

Founded last year by former Airbnb and Amazon engineers, the 9-person company has a handful of paying customers that use Cimba to optimize ad campaigns, automate data-related processes, and produce recommendations for increasing revenue, among other tasks. .” CEO Chad Sanderson and former LinkedIn engineer Chris Riccomini.

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Wasm Today, AI Tomorrow: KubeCon Expands Its Reach 

Forrester IT

Kubecon is the place where big tech and large enterprise cloud users converge with open-source communities and startups to collaborate on the latest trends in cloud-native. Generally, Kubernetes (K8s) has become the epicenter of platform engineering innovation with that trend continues this year.

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How to Migrate From DataStax Enterprise to Instaclustr Managed Apache Cassandra

If you’re considering migrating from DataStax Enterprise (DSE) to open source Apache Cassandra®, our comprehensive guide is tailored for architects, engineers, and IT directors. Whether you’re motivated by cost savings, avoiding vendor lock-in, or embracing the vibrant open-source community, Apache Cassandra offers robust value.

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Nvidia AI Enterprise adds generative AI microservices

CIO Business Intelligence

of Nvidia’s enterprise-spanning AI software platform will feature a smorgasbord of microservices designed to speed app development and provide quick ways to ramp up deployments, the company announced today at its GPU Technology Conference. A host of further integrations is also coming to AI Enterprise 5.0, Nvidia’s AI Enterprise 5.0

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Data Initiatives To Guide Enterprises Through The Great Resignation

IT Toolbox

Discover how enterprises can manage data initiatives and retain engineer staff during the Great Resignation. The post Data Initiatives To Guide Enterprises Through The Great Resignation appeared first on.

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Top Considerations for Building an Open Cloud Data Lake

Data fuels the modern enterprise — today more than ever, businesses compete on their ability to turn big data into essential business insights. Increasingly, enterprises are leveraging cloud data lakes as the platform used to store data for analytics, combined with various compute engines for processing that data.

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12 Considerations When Evaluating Data Lake Engine Vendors for Analytics and BI

To do so, modern enterprises leverage cloud data lakes as the platform used to store data for analytical purposes, combined with various compute engines for processing that data. 451 Group’s research indicates 57% of the enterprises currently using a data lake cite improved business agility as a benefit.

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9 Developer Enablement Practices to Achieve DevOps at Enterprise Scale

In this eBook, Christian Oestreich, a senior software engineering leader with experience at multiple Fortune 500 companies, shares how a metrics-driven mindset can dramatically improve software quality and enable DevOps at enterprise scale.

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Data & Analytics Maturity Model Workshop Series

Speaker: Dave Mariani, Co-founder & Chief Technology Officer, AtScale; Bob Kelly, Director of Education and Enablement, AtScale

Translating DevOps principles into your data engineering process. Deploying “data as code” throughout the enterprise. Developing a data-sharing culture. Combining data integration styles. Using data models to create a single source of truth. Making everyone a data analyst with a semantic layer. Sign up now!

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Microservices: The Dark Side

Speaker: Prem Chandrasekaran

In his best-selling book Patterns of Enterprise Application Architecture, Martin Fowler famously coined the first law of distributed computing—"Don’t distribute your objects"—implying that working with this style of architecture can be challenging. How these strategies can be applied in different size engineering organizations.