Remove data-strategy-future
article thumbnail

How to future-proof your AI-driven data strategy

CIO Business Intelligence

Think of your enterprise AI strategy like a rocket. The fuel that AI needs is data, and the good news is that enterprises certainly no longer have to worry about finding enough AI data. Now, it’s about getting the right data and using it in the right ways. But first, enterprises need a future-proof AI data strategy.

article thumbnail

AI market evolution: Data and infrastructure transformation through AI

CIO Business Intelligence

research firm Vanson Bourne to survey 650 global IT, DevOps, and Platform Engineering decision-makers on their enterprise AI strategy. The Nutanix State of Enterprise AI Report highlights AI adoption, challenges, and the future of this transformative technology. AI applications rely heavily on secure data, models, and infrastructure.

Insiders

Sign Up for our Newsletter

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

article thumbnail

The future of Gen AI in analytics

CIO Business Intelligence

Gen AI allows organizations to unlock deeper insights and act on them with unprecedented speed by automating the collection and analysis of user data. Gen AI transforms this by helping businesses make sense of complex, high-density data, generating actionable insights that lead to impactful decisions.

article thumbnail

Data Quality Test Coverage In a Medallion Data Architecture

DataKitchen

Data quality test coverage has become one of the most critical challenges facing modern data engineering teams, particularly as organizations adopt the increasingly popular Medallion data architecture. The Bronze layer serves as the initial landing zone for all incoming raw data, capturing it in its unprocessed, original form.

article thumbnail

Future-Proofing Your Information Governance Strategy

Speaker: Crystal Cao, Lindsey Simon & Lisa Ripley

Cloud applications are driving the future of work with the ability to operate anytime, anywhere. We can send a message, share a file, or join a call at the drop of a hat yet, every time we perform an action within these applications, we produce data — and we produce a lot of it. When data deletion becomes applicable.

article thumbnail

Overwhelmed cybersecurity teams need autonomous solutions

CIO Business Intelligence

They are inundated by increasingly potent cyber threats, especially as threat actors are now leveraging AI to enhance their attack strategies. In particular, the speed of attacks has increased exponentially, with data breaches now occurring within days or even hours of an initial compromise.

article thumbnail

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

CIO Business Intelligence

Primary among these is the need to ensure the data that will power their AI strategies is fit for purpose. In fact, a data framework is critical first step for AI success. There is, however, another barrier standing in the way of their ambitions: data readiness. AI thrives on clean, contextualised, and accessible data.

article thumbnail

Post-Pandemic eCommerce Growth: Leverage Product Data, Market Research & Shopping Trends

Speaker: Phil Irvine, VP & Director of Audience Intelligence

The more personalized an organization can be with growth strategies and communications, the more likely engagement would increase and ultimately sales. To accomplish this, organizations have traditionally leaned into historical customer and product data to predict how to engage with their current and future customers in a personalized manner.

article thumbnail

Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Understanding these trends is not only essential to staying ahead of the curve, but critical for those striving to remain competitive and innovative in an increasingly data-driven world.

article thumbnail

LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.

article thumbnail

The Empowered Consumer

When it comes to working with the empowered consumer, AI has the power to help your business thrive by leveraging your own data to better understand your customers. Predicting the next CRM state, which can inform the strategy of future marketing communications.

article thumbnail

Innovating and Driving Agility with Tech: No-Code Development

Speaker: Gautam Nimmagadda, CEO, Quixy

Product Managers: are you wondering how your teams will work in the future? How to recognize emerging trends in tech today and leverage them to stay agile for a holistic business strategy. A roadmap to business excellence by understanding the importance of harnessing data, and automating processes.

article thumbnail

Maximizing Profit and Productivity: The New Era of AI-Powered Accounting

Speaker: Yohan Lobo and Dennis Street

Dive into the strategies and innovations transforming accounting practices. We’ll cover: ✅ Data Management Best Practices: Streamline operations and reduce manual tasks with centralized, connected systems. 🚀 Future Trends in Accounting Technology: Learn about technologies that help attract and retain tech-savvy talent.