Accelerate

Agentic AI has been called the next innovation in Artificial Intelligence based decision making - which comes with a lot of pre-conceived notions on what that actually means and looks like in practice. So we sat down to learn more about Agentic AI with data scientist Sheng Lan! https://lnkd.in/gFtz8E78

We've got a heap of great content lined up for over the holiday season on our YouTube channel and already steaks ahead on planning for 2025 so now is a great time to make sure you're giving us a follow... Oh and you can win prizes as well! A $50 Google Voucher just for following or commenting, or both! https://lnkd.in/g8hRiqdq

When producing this episode, I kept getting in my mind the builders phrase - "measure twice, cut one" which felt like the approach the dFacto team were taking with their tools. You can download the episode now where ever you get your podcats or watch it on YouTube - and remember we have a competition to win a Google Play Voucher for new subscribers! https://lnkd.in/gXNNDVeD

From the automotive industry to data management, Damien Walker from Coalesce brings a unique perspective to the real world applications data can be used for and how AI can help be a force multiplier in the world of data! https://lnkd.in/ggxeFPGX

Are you following our YouTube Page yet? Each week we've got new content coming out for data professionals to sink their teeth into, from experts across the field, from all over the world! This week we caught up with data scientist Sheng Lan to look at the 2025 AI governance need to knows - what with the year being over so soon! Make sure you go give the page a follow! https://lnkd.in/gfsQW9qG

What is Medallion Architecture, how does it work and how does it tie into Automation? We do some digging in our latest Data Radio Show with Wherescape's Senior Architect, Patrick O'Halloran. https://lnkd.in/gHVNM9x9

It's usually the stuff of science fiction - driverless cars! But they're already roaming some American streets - and in the latest Data Radio Show, we look at both the experience and the data behind the experience! https://lnkd.in/g-VfCM7B

In this month's Masterclass we do a deep dive into an issue impacting data engineers with the advent of AI - What does it mean for data privacy? Hosted by Julien Redmond from Ignition, we hear from ADAPT Group's Sam Redmond and Data Design Consultancy's Richard Harris to discuss the nuance of of how AI needs access to Personal Information to work and how that can be squared off with data privacy concerns. 1. Transparency and Accountability in AI Data Use: Discusses the importance of transparency and accountability when using AI with personal data, emphasizing the need for clear guidelines and policies to ensure responsible data collection and usage. 2. Privacy Impact Assessments (PIA) and Organizational Responsibility: Introduces the concept of PIAs as a way to identify and mitigate risks when handling sensitive data, stressing that organizations are ultimately accountable for the data they collect and how it is used. 3. Trust and Privacy by Design: Highlights the critical role of trust between organizations and the public, advocating for “Privacy by Design” practices that establish secure data workflows and transparent communication around data use. 4. Access Control and Risk Mitigation: Explores how establishing strict access controls for AI agents can help prevent unauthorized data exposure and security breaches, reinforcing the need for continuous review and adjustment. 5. Challenges of Keeping Pace with AI Innovation in Regulation: Examines the difficulty of aligning regulatory frameworks with rapid advancements in AI, urging regulators to adopt AI tools themselves to maintain relevancy and control. https://lnkd.in/gy3FpeAd

AI and bias is a bit of a sticky issue we've heard about in the media, usually tied into when an AI goes haywire because someone has downloaded the contents of reddit into it. So in the latest episode of the Data Radio Show, James Hartwright and Paul Barlow explore the future of media (which already has an inherent bias baked in, which is dependant on the source) and how AI will evolve with media and media will evolve because of AI. https://lnkd.in/gyQC6U_R

How do you measure the success of an LLM? Is it speed, user uptake, ease of use? And where can you find resources to help you expand your skillset? In this week's Data Radio Show, Samuel Williams chats to Sheng Lan about all this and more! https://lnkd.in/gYCDz-_2