Data Podcasts, News, Analysis

Katie Baker, Head of Content & Communications at EM360Tech

Katie Baker Katie Baker

John Tolbert on Identity Fabrics, AI Governance, and the Future of Agentic Authorisation

"The next era will be defined as much by the identity and authorisation plumbing around the models as by the models themselves: which agents exist, who they act for, what they are allowed to do, and how that can be proven after the fact."

Trisha Pillay Trisha Pillay

How a WhatsApp Group Is Guiding Nepal's Hydropower Tunnel Rescue

Nepal's flood response shows how real-time access to technical knowledge can become critical when traditional records and infrastructure are buried or destroyed.

Nanette le Roux, SEO Content Writer at Global Citizen Solutions

Nanette le Roux Nanette le Roux

Why Enterprise AI Needs Data Analytics That Keeps Contextual Pace

Close-up of a computer screen showcasing colourful lines of code.

AI is moving into live business operations, speedy real-time analytics helps keep the view on changing conditions to support timely, reliable decisions.

Katie Baker Katie Baker

How Real-Time Analytics Architecture Works: Pipelines, Streaming and Enterprise Infrastructure

We'll break down how that stack is actually built, from ingestion through to the serving layer, the architectural patterns enterprises are choosing between and what tends to go wrong once the pipeline is live and someone's dashboard doesn't match finance's spreadsheet.

Shubhangi Dua Shubhangi Dua

What Happens When Your AI Agent Finds Two “Correct” Answers?

How data governance, semantic layers and consistent metric definitions can prevent confident AI-driven data errors.

Intelligent SAP BW Migration

Move the meaning first and turn months of migration into weeks

Beyond Code Translation

A Semantic Approach to SAP BW Cloud Migrations

Megan Leanda Berry, SEO Content Writer at EM360Tech

Megan Leanda Berry Megan Leanda Berry

Data Engineering Is Moving From Writing Pipelines to Proving Intent

EM360Tech graphic titled “Data Engineering Is Moving to Proving Intent”. Orange line artwork on a black background shows streams of code flowing through a checklist, pipeline flowchart and validation document before reaching a shield with a tick. Text reads: “We explore how agentic data engineering shifts responsibility from pipeline implementation towards defining constraints, validation and engineering judgement.”

We explore how agentic data engineering shifts responsibility from pipeline implementation towards defining constraints, validation and engineering judgement.

George Firican, Founder at Lights on Data Consulting & Training

George Firican George Firican

Why AI Is Forcing Organisations to Rethink Data Governance

The goal isn't simply to understand data governance as a set of policies and processes. It's to understand how those foundations need to evolve when data starts powering AI systems that can operate at unprecedented scale and speed.

Nanette le Roux Nanette le Roux

Top 10 Best Value Management Platforms for Enterprises

From investment prioritisation to benefits realisation, explore the top value management platforms that help enterprises turn strategic investments into measurable business value.

How Agentic Voice AI Is Changing the Customer Experience

Pranay Jain, CEO and Co-founder of Enterprise Bot, discussing the future of agentic voice AI and customer experience.

What happens when voice AI stops simply answering questions and starts getting things done? Pranay Jain of Enterprise Bot explains why the next generation of customer experience will depend on AI capable of understanding context.

Katie Baker Katie Baker

Susan Walsh on Data, AI Readiness, & Inclusivity In Tech

"We can have incredibly sophisticated AI, but if the data underneath it isn’t Consistent, Organised, Accurate and Trustworthy, we’re building something very clever on very shaky foundations."

Megan Leanda Berry Megan Leanda Berry

When AI Agents Can Change Your Data, Who Decides What They’re Allowed To Do?

We look at how data governance needs to change when AI agents can write to enterprise data, not just read it.

Kevin Petrie, Vice President of Research at BARC

Kevin Petrie Kevin Petrie

Why AI Needs a Stronger Data Governance Foundation

AI captures the headlines, but the underlying requirement hasn't changed in nearly three decades: bad data yields bad results.

How American Airlines Powers Global TechOps with a Real-Time Data Hub

"Striim is a fully managed service that reduces our total cost of ownership while providing a simple drag and drop UI. There's no maintenance overhead for American Airlines to maintain the infrastructure." — Ganesh Deivarayan, Sr. Manager, American Airlines

Kramp Transforms Business Operations Through Advanced Real-Time Machine Learning Analytics

"The real-time updates on order status have not only improved transparency but also helped to reduce the number of customer service calls." — Oliver Meisch, Manager of Business Intelligence, Kramp

UPS Leverages Striim and Google BigQuery for AI-Secured Package Delivery

Learn how UPS Capital integrated Striim’s real-time data streaming technology with Google BigQuery’s analytics capabilities to enhance delivery security.

The Hyper-Responsive Payments Organisation

Why real-time data architecture is the defining competitive variable.

Hassan Zaman, Senior Sales Manager at Enterprise Management 360 Technology

Hassan Zaman Hassan Zaman

Vector RAG Versus Graph RAG: Solving The Unstructured Data Problem

We look at when Vector RAG is enough, when Graph RAG adds value, and why hybrid retrieval is becoming a stronger enterprise option.

Katie Baker Katie Baker

Real-Time Analytics vs Batch Processing

In practice, the vast majority of mature enterprises aren't choosing one model, they're running both, deliberately.

What Is "Agent Debt" and Why Is It Breaking Your AI Code?

In the recent episode of the Tech Transformed podcast, host Christina Stathopoulos, Founder of Dare to Data, was joined by Nic Benders, Chief Technology Strategist at New Relic to talk about "agent debt,” what happens when AI writes great code that breaks in production, and why SREs (Site Reliability Engineers) are left cleaning it up.

94% of technology leaders believe AI-generated code is higher quality when reviewed, but 78% report more incidents after deployment.

Megan Leanda Berry Megan Leanda Berry

Data Sovereignty Could Make Companies More Willing to Share Data

A black and orange EM360Tech header graphic showing a central database protected by a shield and padlock, with glowing data connections linking it to icons representing businesses, government, industry, healthcare and education. The headline reads “Data Sovereignty Could Unlock Data Sharing” with supporting text explaining that stronger data sovereignty could make organisations more willing to share valuable business data without giving up control. The graphic highlights the relationship between secure data

We look at why stronger data sovereignty could make organisations more willing to share valuable business data without giving up control.

Google Analytics Explained: What It Tracks and Why It Matters

AI Is Turning Query Optimisation Into An Economics Problem

AI Is Turning Query Optimisation Into An Economics Problem

How a WhatsApp Group Is Guiding Nepal's Hydropower Tunnel Rescue

Why Enterprise AI Needs Data Analytics That Keeps Contextual Pace

How Real-Time Analytics Architecture Works: Pipelines, Streaming and Enterprise Infrastructure

What Happens When Your AI Agent Finds Two “Correct” Answers?

John Tolbert on Identity Fabrics, AI Governance, and the Future of Agentic Authorisation

How a WhatsApp Group Is Guiding Nepal's Hydropower Tunnel Rescue

Why Enterprise AI Needs Data Analytics That Keeps Contextual Pace

How Real-Time Analytics Architecture Works: Pipelines, Streaming and Enterprise Infrastructure