New AI Maturity Assessment available for DataIQ members
The DataIQ AI Maturity Assessment gives DataIQ members exclusive access to assess the readiness of their AI functions and receive recommendations to reach the next level.
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.
Roundtable – Data Migration: Transferring from old legacy platforms to new ones – FULLY BOOKED
Join us on this Roundtable to discuss what makes a successful systems migration.
Roundtable – Building a resilient data capability
Join us on this Roundtable to discuss how you can build resilience into your data organisation.
Masterclass – How prepared is your organisation for AI?
Join us to hear the team at DataIQ cover latest framework for measuring AI preparedness, strategies that companies have adopted for initiating and embedding AI, as well as the critical aspects of governance and ethics.
Roundtable Rerun – Setting up and running a data lab
Join this roundtable to know what makes a successful data lab, how to gather ideas from across the organisation, and how these ideas can be truly shared across the enterprise.
Roundtable – Setting up and running a data lab – FULLY BOOKED
Join this roundtable to know what makes a successful data lab, how to gather ideas from across the organisation, and how these ideas can be truly shared across the enterprise.
Pioneering AI initiatives revealed: DataIQ Announces 2024 AI Awards Shortlist
The shortlist for the 2024 DataIQ AI Awards has been unveiled, with the winners to be announced at the DataIQ Summit on May 21.
AFL Module 4 – Establishing the right technology strategy for data
Learn about the specific technology requirements of the data office and how to ensure there is appropriate focus and investment to realise the function’s goals.
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.
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?
Masterclass – How to achieve scale with Power BI
Don’t miss the opportunity to hear Steve Pimblett share his experience on how The Very Group has managed to scale its use of Power BI across the organisation.
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.
Is the UK on course to be a global data leader?
As Google announces its latest investment in UK data capabilities, the nation’s aim to be a data leader seems to be sprouting.
Ethical AI: First, do no harm, then do some good (responsibly!)
As varying forms of AI and ML rapidly get adopted across the business world, there needs to be a discussion on the implementation of these tools and ethical AI to be used for good.
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.
Silos and dashboards: Mars’ voyage of data foundations to influence today’s business decisions for a better tomorrow
DataIQ spoke with Deepak Jose from Mars Wrigley to gain insight into the monumental data journey that has taken place in recent years and radically altered the business data capabilities.
EU AI Act progresses AI regulation in 2024
The EU is creeping ahead of other regions in the race to take charge of AI regulation with the EU AI Act, but what does this mean for real-world businesses?
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.
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.
