genAI - DataIQ

Event

Roundtable: Prioritising AI use cases for business impact

Join us to explore how to prioritize high-impact genAI use cases, build on efficiency gains, and track key issues to ensure scalable, ROI-driven success.

Article

The path to production and value with AIOps

DataIQ partner Data Reply examines how data leaders can overcome challenges surrounding AI deployment and scaling to achieve rapid success.

Article

Measuring the business impact of AI use cases

Matt Fitzpatrick, Senior Partner at QuantumBlack, AI by McKinsey shared his views on how AI use cases can be measured for impact and successful scaling in an age where AI and genAI tools are becoming essential.

Article

AI regulation SB 1047 is causing concerns in California

“Well-intentioned but ill informed” appears to be the consensus on California’s latest AI regulation bill SB 1047 at a time when practical regulation is needed.

David Reed, DataIQ's Chief Knowledge Officer and Evangelist, hosting the 2024 DataIQ 100.

Article

3 reasons why nobody is talking about the cost of generative AI

David Reed dives into the financial side of generative AI as costs can rapidly spiral if not monitored and there is a necessity to be accurate with the use of tools.

A member of the DataIQ community discussing genAI at a roundtable with peers.

Article

What are the quick genAI wins for the data office?

Data leaders need quick genAI wins to demonstrate the power of data and secure increased budgets and backing, but where should they begin?

Event

Roundtable – Doing GenAI at scale

This roundtable will discuss ways DataIQ members are working on delivering GenAI at scale, the issues they are experiencing and how they’re overcoming them.

David Reed, Chief Knowledge Office and Evangelist, DataIQ, presenting at the DataIQ Conference in 2023

Article

AI just rocked Las Vegas. But where was data?

DataIQ chief knowledge officer and evangelist, David Reed, examines the gamble surrounding AI and why businesses need to play the game.

Two people working on machine learning tools.

Article

How do we successfully implement machine learning ops within our data tech stack?

Machine learning is rapidly becoming an essential part of data tech capabilities, but there is still a level of risk involved and no definitive set of rules for introducing these new operations.

Article

AI must be embraced for progress and development

AI is here, and data offices need to embrace it or suffer the consequences of having their businesses falling behind competitors in the very near future.

Tag: genAI

Roundtable: Prioritising AI use cases for business impact

The path to production and value with AIOps

Measuring the business impact of AI use cases

AI regulation SB 1047 is causing concerns in California

3 reasons why nobody is talking about the cost of generative AI

What are the quick genAI wins for the data office?

Roundtable – Doing GenAI at scale

AI just rocked Las Vegas. But where was data?

How do we successfully implement machine learning ops within our data tech stack?

AI must be embraced for progress and development

Enabling the success of Data and AI leaders and their teams.