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Announcing Open 3D Engine (O3DE)

CTOvision

Amazon has shifted its Lumberyard game engine to open source. This is big news not just for the gaming industry, but for any industry that can benefit from 3D modeling, 3D simulation, 3D planning/design. For more see: For more see : Amazon Web Services aka AWS.

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Pole Position: Three Ways To Fuel Your Content Engine For Success

Forrester IT

Content engines in B2B organizations have their own fuel, care, and feeding needs to drive the right level of audience engagement.

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The big shift to ‘cloud engineering’: Snowflake and Pulumi weigh in

CTOvision

Read Diego Asturias explain how Pulumi and Snowflake are enabling a big shift in how cloud engineering works on Silicon Angle: More than 10 years ago, cloud computing began offering […].

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How To Overcome Revenue Operations Constraints And Boost The Growth Engine

Forrester IT

Learn how revenue operations leaders can achieve more with less in the face of executive constraints and still deliver for the growth engine.

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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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Engineering Metrics Is The Elephant In The Room

Forrester IT

With the growth of generative AI, developer productivity is on everyone's mind these days. But measuring developer productivity is challenging. Learn how focusing on alignment can help eliminate the elephant in the room.

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Cybersecurity’s Soft Underbelly: The Threat From Social Engineering

IT Toolbox

Hackers leverage social engineering in as much as 90% of all cyberattacks. The post Cybersecurity’s Soft Underbelly: The Threat From Social Engineering appeared first on Spiceworks.

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Autonomous AI Agents Are the Future of Procurement and Supply Chain Operations

These agents self-reflect with a memory engine that allows them to learn from mistakes. Unlike LLM-based generative AI tools such as ChatGPT, these AI agents do not require prompts from humans.

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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. Businesses today compete on their ability to turn big data into essential business insights.

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Top Considerations for Building an Open Cloud Data Lake

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. How cloud data lake engines enable a better balance between data warehouse investments versus those in the cloud data lake

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Discover How Senior Technology Leaders Can Secure the Budget That They Need

Speaker: Kevin Goldsmith, Chief Technology Officer at Anaconda | Peyman Pouryekta, CEO and Technology Advisor | Bob Webber, VP Product Flow Optimization, Construx

This can be challenging, as engineering is often seen as a cost center, making it difficult to gain management buy-in for strategic investments. Quantify the value of the software that engineering produces. By the end of this session you will learn how to: Strategically invest in technology. Determine the success of an investment.

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The Next-Generation Cloud Data Lake: An Open, No-Copy Data Architecture

However, they often struggle with increasingly larger data volumes, reverting back to bottlenecking data access to manage large numbers of data engineering requests and rising data warehousing costs. Why agile development concepts, when applied to the data tier, can dramatically increase data engineering agility.

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A PM's Guide to Building a Culture of Product Innovation

Speaker: Bob Webber, VP Product Flow Optimization, Construx

This webinar is for engineering and product leaders who are struggling to find an innovation strategy that works. There's a lot of innovation advice out there, but very few companies are recognized for their innovation. Despite the importance of new product development, more than half of all product launches and innovations fail.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

Using this case study, he'll also take us through his systematic approach of iterative cycles of human feedback, engineering, and measuring performance. . 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Greg Loughnane and Chris Alexiuk in this exciting webinar to learn all about: How to design and implement production-ready systems with guardrails, active monitoring of key evaluation metrics beyond latency and token count, managing prompts, and understanding the process for continuous improvement Best practices for setting up the proper mix of open- (..)