When it comes to technology and data analytics, organizations across different industries face a common pitfall: they get caught in the allure of shiny objects, often losing sight of the specific problems they need to solve. By adopting this technology-first approach, companies fail to answer the crucial question: how can this tool help solve my data needs and move the needle for the business?

To help your listeners avoid this trap, Krishnan will discuss the importance of identifying problems first and only then developing a solid data strategy around them. Drawing from his extensive experience working with Fortune 500 clients, he will share invaluable insights into how businesses can adopt a more integrative use of data in decision-making, while also highlighting how analytics should be leveraged to solve specific business problems by driving change in behavior rather than being seen as an end in itself.

The rapid evolution of data analytics and AI presents a double-edged sword for businesses. While the potential for driving business impact is immense, many organizations struggle to stay updated with the latest trends, leading to inefficient strategies and missed opportunities. The challenge is to discern which trends will deliver true value and how to implement them effectively.

On your podcast, Krishnan will delve into the key analytics trends to watch in 2024, such as augmented analytics, real-time analytics, and explainable AI. He will discuss how these trends can revolutionize decision-making and operational efficiency. Krishnan will also cover the importance of a strategy-led approach to AI adoption, focusing on practical applications like marketing mix modeling and video analytics. As a result your listeners will gain insights into how to harness these trends for maximum ROI, ensuring their investments translate into meaningful business outcomes.

Businesses often struggle with quantifying the return on investment when it comes to innovation, especially in the realms of AI and analytics. Many organizations invest heavily in new technologies or processes without seeing a proportional increase in business value. This disconnect can lead to wasted resources and missed opportunities for growth and improvement, ultimately hindering their competitive edge.

On your podcast, Krishnan will share his insights on how companies can bridge this gap by focusing on the new ROI: Return on Innovation. Drawing from examples like Coca-Cola, Google, and Apple, he’ll discuss how companies can foster a culture of innovation by investing in people, processes, and technology. While emphasizing the importance of spotting trends early and adopting an agile, fail-fast approach, Krishnan also will illustrate how data-driven insights can be the backbone of successful innovation, ensuring that investments lead to tangible value creation.

The buzz around generative AI often leads businesses to jump on the bandwagon without fully understanding its capabilities or potential use cases. As a result, companies are often more focused on finding use cases to fit the technology rather than identifying business problems that AI could help solve. This approach can lead to misdirected investments and underwhelming outcomes, contributing to the perception that Generative AI may be more hype than reality.

On your show, Krishnan will demystify generative AI and its potential for driving growth and efficiency. He will delve into the reality of AI, separating the hype from the transformational potential it holds, and discussing how businesses can effectively incorporate it to drive growth and innovation. Drawing from real-world examples and his experience working with Fortune 500 clients, Krishnan will also demonstrate how organizations can identify the right use cases for Generative AI, ensuring that the technology delivers real value rather than serving as a trendy gimmick.

Businesses across the board tend to struggle with technology adoption, and this is particularly true when it comes to data initiatives. They often fail to listen to user needs, iterate their solutions, or sell those solutions internally. This leads to a situation where companies implement technologies that their employees and customers simply don’t use, defeating the purpose of innovation.

On your podcast, Krishnan will discuss the critical role of adoption in driving business success, and share why it should be the north star for every data-related initiative. Drawing from his experience working with Fortune 500 organizations, he’ll discuss how businesses can enhance adoption by including users in the development cycle, iterating solutions based on feedback, and continually improving even after deployment, making sure the solution evolves with user needs.