article thumbnail

It’s 2025. Are your data strategies strong enough to de-risk AI adoption?

CIO Business Intelligence

This challenge has been recognised by the Australian Federal Government, with Industry and Science Minister Ed Husic announcing in September the creation of a set of voluntary AI guidelines, with consultation on whether these should be mandated in high-risk areas. AI thrives on clean, contextualised, and accessible data.

Risk 111
article thumbnail

What is data architecture? A framework to manage data

CIO Business Intelligence

Data architecture goals The goal of data architecture is to translate business needs into data and system requirements, and to manage data and its flow through the enterprise. Many organizations today are looking to modernize their data architecture as a foundation to fully leverage AI and enable digital transformation.

Insiders

Sign Up for our Newsletter

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

article thumbnail

4 prerequisites for IT leaders to navigate today’s era of disruption

CIO Business Intelligence

Offering value-added services on top of data, like analysis and consulting, can further enhance the appeal. Focus on data governance and ethics With AI becoming more pervasive, the ethical and responsible use of it is paramount.

IT 130
article thumbnail

The DataOps Vendor Landscape, 2021

DataKitchen

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . DVC — Open-source Version Control System for Machine Learning Projects … data version control. Process Analytics.

Testing 300
article thumbnail

Using a Machine Learning Data Catalog to Reboot Data Governance

Speaker: David Loshin, President, Knowledge Integrity, Inc, and Sharon Graves, Enterprise Data - BI Tools Evangelist, GoDaddy

Traditional data governance fails to address how data is consumed and how information gets used. As a result, organizations are failing to effectively share and leverage data assets. To meet the needs of the business and the growing number of data consumers, many organizations like GoDaddy are rebooting data governance.

article thumbnail

10 AI strategy questions every CIO must answer

CIO Business Intelligence

The 2024 Enterprise AI Readiness Radar report from Infosys , a digital services and consulting firm, found that only 2% of companies were fully prepared to implement AI at scale and that, despite the hype , AI is three to five years away from becoming a reality for most firms. Am I engaging with the business to answer questions?

Strategy 141
article thumbnail

Beyond the hype: Do you really need an LLM for your data?

CIO Business Intelligence

This type of complex, multi-modal data analysis, where structured and unstructured data converge, is precisely where LLMs can shine. Its about investing in skilled analysts and robust data governance. It also means establishing clear data governance frameworks to ensure data quality, security and ethical use.