article thumbnail

CIO insights: What’s next for AI in the enterprise?

CIO Business Intelligence

CIOs are under increasing pressure to deliver AI across their enterprises – a new reality that, despite the hype, requires pragmatic approaches to testing, deploying, and managing the technologies responsibly to help their organizations work faster and smarter. The top brass is paying close attention.

article thumbnail

Artificial intelligence and machine learning adoption in European enterprise

O'Reilly on Data

Given the end-to-end nature of many data products and applications, sustaining ML and AI requires a host of tools and processes, ranging from collecting, cleaning, and harmonizing data, understanding what data is available and who has access to it, being able to trace changes made to data as it travels across a pipeline, and many other components.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Private cloud makes its comeback, thanks to AI

CIO Business Intelligence

Private cloud providers may be among the key beneficiaries of today’s generative AI gold rush as, once seemingly passé in favor of public cloud, CIOs are giving private clouds — either on-premises or hosted by a partner — a second look. The excitement and related fears surrounding AI only reinforces the need for private clouds.

IT 142
article thumbnail

End-to-end development lifecycle for data engineers to build a data integration pipeline using AWS Glue

AWS Big Data

Many AWS customers have integrated their data across multiple data sources using AWS Glue , a serverless data integration service, in order to make data-driven business decisions. Are there recommended approaches to provisioning components for data integration?

article thumbnail

Deploying an LLM ChatBot Augmented with Enterprise Data

Cloudera

In the first article of this series, we are going to share the challenges of Enterprise adoption and propose a possible path to embrace these new technologies in a safe and controlled manner. However, enterprises have much more specific needs. They need the answers for their enterprise context. V100, A100, T4 GPUs).

article thumbnail

The biggest enterprise technology M&A deals of the year

CIO Business Intelligence

Even though Nvidia’s $40 billion bid to shake up enterprise computing by acquiring chip designer ARM has fallen apart, the merger and acquisition (M&A) boom of 2021 looks set to continue in 2022, perhaps matching the peaks of 2015, according to a report from risk management advisor Willis Towers Watson.

article thumbnail

The DataOps Vendor Landscape, 2021

DataKitchen

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. DBT (Data Build Tool) — A command-line tool that enables data analysts and engineers to transform data in their warehouse more effectively. DataOps is a hot topic in 2021.

Testing 300