Systems | Development | Analytics | API | Testing

BI

Unlocking the Power of LLMs | From Introduction to Enterprise Deployment #ai #llm

In today's rapidly evolving digital landscape, Large Language Models (LLMs) and Generative AI are emerging as transformative tools for enterprises. These innovations are not only changing how we interact with data but are also reshaping the very fabric of business operations. Unlike other public LLMs, what happens in your organization stays in your organization. But with great power comes great responsibility—and the need for in-depth understanding.

CityFibre Integrates and Scales Its Data Estate to Boost Operational Efficiency and Optimize Its Future Network With Snowflake

CityFibre is one of the U.K’.s biggest fibre networks, connecting millions to high-speed broadband. Piyush Shandilya, Data Architect at CityFibre explains how the company uses Snowflake to process and analyze large, integrated data sets at speed, powering future growth and delivering next-gen connectivity. CityFibre is the U.K.’s third largest gigabit network and is predicted to connect 8 million people by 2025.

The Art of Data Leadership | What is a chief digital officer? #data

Our Chief Data & Analytics Officer, Shayde Christian, sits down for a buzzworthy conversation with Chief Digital Officer Raymond L. Kunik Jr. to discuss the “other” CDO role, the science behind work-life integration, the impact and applications of #AI, and its correlation with a pretty sweet hobby.

Remodel Your Oracle Cloud Data with a Data Lakehouse

Continued global digitalization is creating huge quantities of data for modern organizations. To have any hope of generating value from growing data sets, enterprise organizations must turn to the latest technology. You’ve heard of data warehouses, and probable data lakes, but now, the data lakehouse is emerging as the new corporate buzzword. But what is a data lakehouse and how can you make the most of it to transform your Oracle Cloud data for advanced reporting and analytics?

Next-Level Apps with Snowpark Container Services and Snowflake Native Apps

The enterprise app market has been growing faster than ever before, due to the recent spike in demand for AI / ML workloads. These new types of apps operate over large sets of data, have increasingly higher compute demands, require strict data privacy protections, provide very sophisticated web experiences, and need to be secure at all stages of their life cycles. While such apps are being created at a very fast pace, there are two main challenges.

Cloudera and AWS | Delivering New Generative AI Use Cases and Cutting-edge Analytics

AWS and Cloudera share a culture of customer obsession. Together Cloudera and AWS make it easier for customers to move to the cloud due to the deep technical integration. Our most recent collaboration is around the integration of generative AI with Amazon Bedrock which helps customers innovate with a modern data architecture to create new business use cases and leverage cutting-edge analytics. AWS executive David Littlewood, Head of Data and Analytics ISV Partnerships, discuss how collaborating with Cloudera benefits customers along their cloud migration and modern architecture journey.

How Change Data Capture Cuts Costs and Modernises Applications in a Competitive Market

I consider myself pretty lucky: I love technology and get paid to pursue my hobby. I also get to say yes to opportunities that come my way that can increase value to my company and our clients. It was one of these opportunities that led us to adopt change data capture (CDC) technology, resulting in an added value proposition for our customers.