EP 12: Welcome to the Fifth Industrial Revolution

On this episode of The AI Forecast, Mike Walsh talks us through what he calls the fifth and latest industrial revolution - and that’s AI. Mike is a futurist and expert in disruptive technologies. He’s a best-selling author, host of the Between Worlds podcast, and CEO of Tomorrow – a global consultancy helping organizations adapt to the challenges of the digital age.

Beyond the Hype: Gen AI Trends and Scaling Strategies for 2025 - MLOps Live #35 with Gartner

In this webinar, we explored the most pressing GenAI challenges and the newest strategies for implementing and scaling GenAI in 2025. Svetlana Sicualar and Yaron Haviv, AI industry leaders and veterans, referenced their work and vast experience with enterprise clients across regions and verticals. They explored key questions that every tech leader should be asking themselves.

Managing Data Contracts: Helping Developers Codify "Shift Left"

We live in a world of events. The phone in your pocket is emitting data about your location, and receiving a notification to order your morning coffee from your favorite shop en route to work. Your thermostat knows you’re out for the day, and adjusts the temperature to save energy. Your refrigerator automatically orders a replacement water filter after serving a given amount of water. Railway sensors send a location event for cars passing by.

Automated Cost Management: Leveraging AI for Databricks Optimization

Accurate forecasting of cloud costs remains a significant challenge for 80% of data management experts (Forrester). The root causes? Lack of granular visibility, siloed data, and the absence of AI-powered predictive tools. Join us for this session in our Weekly Walkthrough drop-in series, "Controlling Cloud Costs," where we'll explore how to manage Databricks costs with AI.

Empowering Growth Through Training and Enablement

Throughout my career, I’ve had the privilege of working across the full spectrum of enablement: internal enablement, partner enablement and customer enablement. Each of these domains brings unique challenges, audiences and approaches, but a common thread unites them all: the goal of fostering growth. At its core, training and enablement are not just about imparting knowledge or improving skills. While these are vital components, the true purpose transcends the transactional.

How to automate SAP data and quickly see savings

Loading data quickly and efficiently to and from SAP is a challenge for most businesses. Whether you are an IT manager, a business user, or an SAP expert, getting data into SAP can often be a time-consuming task standing in the way of more strategic projects. Hours are devoted to entering, correcting, and managing data uploads. There are a few ways to speed up the process and streamline data management, but there’s one that will empower your internal teams while saving time and money right away.

The How and Why of Data Cleansing

Data cleansing is the process of identifying and correcting errors, inconsistencies, and inaccuracies in a dataset to ensure its quality, accuracy, and reliability. This process is crucial for businesses that rely on data-driven decision-making, as poor data quality can lead to costly mistakes and inefficiencies. By cleansing data (removing duplicates, correcting inaccuracies, and filling in missing information), organizations can improve operational efficiency and make more informed decisions.