Systems | Development | Analytics | API | Testing

Today’s digital environment is noisier than ever. For brands to stand out, they need to be hyper-relevant to their customers. That’s where the power of data comes in. In this episode of The AI Forecast, we’re joined by marketing expert Zontee Hou. Not only does Zontee have 20 years of experience in the marketing industry, she’s also the author of Data-Driven Personalization, the founder of Media Volery, the managing director of consultancy Convince & Convert, and the host of the Data-Driven Decisions podcast. To put it lightly, she is pretty busy!

The emergence of AI has undeniably changed the business landscape, with leaders across the globe racing to implement the technology for fear of falling behind their peers. But to orchestrate a successful digital transformation and harness the full power of AI, businesses must prioritize cognitive neuroscience and human behavior alongside the technological advancements of AI.

Mastering Apache Iceberg: From Adoption to Scaling Lakehouse 1st Mar'25 2:00PM to 4:00PM IST Cloudera Bangalore Office.

As AI continues to advance, the ethical use of the tool has been widely (and hotly) debated. Often described as a double-edged sword, AI offers both transformative potential while also raising significant ethical questions. When and how should AI be used? Who is accountable if something goes wrong? Will AI actually take over the world?

Apache Calcite Hybrid Meetup 20th Feb'24 5:00PM to 8:00PM PST Cloudera Santa Clara Office.

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.

This demo showcases Cloudera Data Engineering's External IDE Connectivity, powered by the Spark Connect API. Data engineers can connect local IDEs like VS Code or Jupyter Lab to cloud clusters, run Spark workflows remotely, and sync code with GitHub. This feature enhances data engineering flexibility and productivity by streamlining CI/CD pipelines and enabling seamless synchronization between local and cloud environments, empowering downstream multi-functional analytics and AI.

After going legally blind at 21, Chad Foster’s life flipped on its head. He had to re-learn how to be an active participant in society, starting with finishing his university degree. His life-altering experience at 21 had changed the course of Chad’s life, teaching him to crave the uncomfortable experiences because that’s where growth lies.

What’s the Forecast? A look at data and AI in 2025 2025 is set to be a year of growth and change, particularly in the AI space. Over the last couple of years, AI has evolved from a niche technology to a driving force behind business strategies, innovation, and efficiency in almost every industry. Its impact is felt far and wide. It is not only shaping how we search for information, but how we digest and react to the world around us.