As we think about the continued fervor over AI and generative AI (GenAI), 2024 is shaping up to be very different from 2023 in three specific ways:

Urgency and action — First, what we are starting to see among our clients is a sense of urgency, where enterprises are shifting from exploration to action. Last year was all about ideation. This year seems to be a lot more about implementation.

Technology stack — The technology stack continues to evolve across multiple layers. At the silicon layer, we are starting to see new AI supercomputing innovations and new technologies from cloud providers. In the application layers, we see application-specific integrated circuits (ASICs). There are also networking innovations as well as shifts at the model layer (from large language models to multimodal models).

Emergence of agents — We are seeing the emergence of a new area of agents as well as “agent-to-agent” ecosystems focused on connecting and planning approaches to reasoning for purposes of taking action. All of this is being combined with context and memories integrated with our systems and software.

In this podcast, our expert analyst Chirag Dekate shares his insight and recommended actions to help I&O leaders deal with the realities of AI and generative AI in all three of those dimensions.

About the Guest:

Host Frances Karamouzis is joined by our expert analyst, Chirag Dekate. Chirag’s research focuses on providing strategic advice on generative AI systems, engineering AI pilots into production across a hybrid and multicloud context with an emphasis on AI (generative AI) infrastructures, quantum technologies (quantum computing, quantum sensing, quantum networking), high-performance computing, and advanced analytics infrastructures (quantum computing, neuromorphic, GPUs and beyond).

The challenges of a modern, data-driven enterprise demand modern tools capable of dealing with the volume and, more importantly, the diverse uses of personal data. In addition, the pace at which modern privacy regulations are proposed and adopted has continued to accelerate. This has fueled adoption of privacy technology by organizations looking to standardize a global privacy approach for handling personal data. Privacy-driven trust can serve as a key differentiator when customers are looking for a reason to pick one brand over another in a homogeneous market.

Strategic Planning Assumption

By the end of 2024, three-quarters of the world’s population will have its personal data covered by modern privacy regulations.

Executives seeking a positive balance between the organization’s overall success and corporate reputation should recognize that a mature privacy program is the entire organization’s responsibility. Privacy and data protection officers may take the lead, but CxOs have their respective responsibilities as well. In this podcast, we explore these issues and more.

Host Frances Karamouzis is joined by our expert analyst, Bart Willemsen. Willemsen focuses on privacy-related challenges in an international context, as well as on ethics, digital society, and the intersection with modern technology, including AI.

For 2024 and likely the next decade, business value creation will not happen without the successful blending of data and analytics (D&A) and software engineering at the core. Technology can be a failure point when not handled correctly, but it is often not the biggest roadblock to progress. Digital business acceleration will depend equally, if not more, on how you organize the required roles, skills and culture to drive this transformation.