Analytics

2024's Top Data + AI Predictions in Advertising, Media and Entertainment

It’s not hyperbole to say that generative AI (gen AI) is radically transforming the advertising, media and entertainment industry. There has been widespread excitement about the potential of gen AI to open brand-new creative opportunities and unlock unprecedented efficiencies. At the same time, there has been understandable concern about issues such as inherent bias, deep fakes and the impact of gen AI on jobs.

Mastering Day 2 Operations with Cloudera

Delivering transformational innovation and accurate business decisions requires harnessing the full potential of your organization’s entire data ecosystem. Ultimately, this boils down to how reliable and trustworthy the underlying data that feeds your insights and applications is. This applies to modern generative AI solutions that are particularly reliant on trusted, accurate, and context-specific data.

Accelerate Your Roadmap, Delight Your Customers: How Embedded Analytics Supercharges Your Application

As technology advances, so do user expectations. Advanced analytics has emerged as a hot topic and a key area of focus for buyers looking to provide higher quality analysis to inform business decision-making in a turbulent market. Furthermore, the era of cheap money is over. Funding is scarce and Independent Software Vendors (ISVs) must ensure their offer is seen as an essential expense for financially constrained buyers, delivering quick value, quality, and innovation.

Episode 1: Why everything doesn't need to be generative AI | Rocket Software

Generative AI has everyone talking, but has that buzz overshadowed the potential of predictive AI? We talked with Parag Shah, Senior Director of Data and Analytics at Rocket Software, to explore the hype and hope around both generative and predictive AI.

AI: Balancing Innovation and Ethics

In a Sky News Australia Segment, Qlik CEO Mike Capone discusses the the transformative power of #AI. Here's a glimpse of our discussion: Ethical AI & Public-Private Collaboration: Emphasized the urgent need for public-private partnerships in setting ethical AI standards. The recent developments from Davos are a promising step towards this vital collaboration.

Harnessing Data Extraction in Education for Insightful Solutions

The education sector has always worked with data to guide various processes, most notably student progress. But with powerful, AI-driven data extraction tools impacting other industries, it's time for educators to leverage these tools, accelerate data extraction, and turn data into actionable insights much faster.