Almost every business needs AI, but it’s not needed everywhere. Yes, you read it right. AI, though it transforms entire business models, comes with a price tag. A 2022 survey by McKinsey found that only 27% of companies using AI have successfully scaled their initiatives across the organization. This highlights a key challenge—adopting AI without a clear strategy can lead to wasted resources and minimal return on investment.

Cybersecurity today is not just about defending against attacks. It’s about proactively managing risks in a landscape where threats are growing in volume and sophistication. With data volumes rising by 30% in just the past year and the average cost of a data breach now exceeding $4 million, traditional Security Information and Event Management (SIEM) systems are no longer enough.

Generative AI has now become an essential tool in reshaping retail as we know it. Major players, including Amazon, Walmart, Carrefour, and more, have integrated GenAI into their operations, unlocking unprecedented efficiency and personalization in their strategies. As AI continues to evolve, it’s no longer just about retail media and advertising—it’s revolutionizing every aspect of the retail landscape, from product development to customer service.

Intelligent Automation (IA) is the next-generation technology that combines Robotic Process Automation with Artificial Intelligence, Machine Learning, and Natural Language Processing. While traditional automation handles repetitive, rule-based tasks, IA takes it a step ahead by enabling systems to learn, adapt, and make real-time decisions.

Customer service has come a long way, from its roots in face-to-face interactions and phone support to today's sophisticated digital platforms. The latest phase in this evolution is about shifting from human-led processes to AI-driven solutions. According to Gartner, by 2025, 80% of customer service and support organizations will utilize generative AI technology to enhance agent productivity and elevate the overall customer experience (CX).

AI is all about the game of data. And the emergence of advanced AI models, including the newsmaker one - Generative AI, is compelling business leaders to revisit their data platforms. Stating the obvious, businesses now need customized AI models built for their unique business needs and perfected as per their data. So, your journey to a successful AI transformation or adoption begins with a robust data infrastructure as a stepping stone.

Customer experience (CX) can be the make-or-break element for any business. Well, it's not just a hunch. Research from reputable sources reveals some startling truths: Despite these stakes, more than 62% of businesses struggle to measure the ROI of their CX efforts, and 70% are unaware of how CX impacts their bottom line. AI has already brought advancement across all spheres of the business world. Customer experience (CX) is no exception.

While the brick-and-mortar offline retail market is struggling post-pandemic, the online digital retail sector continues to experience strong growth as customers shift to online purchases. This increase in online customer activity is driving a steady increase in digital advertising spending running through the various Retail Digital Media (RDM) platforms. In 2024, ad spending in digital retail media advertising is projected to reach 136.07 billion U.S. dollars, with the bulk coming from the US market.

The global AdTech market is experiencing exponential growth, driven by the rising demand for speed, personalized advertising, and the proliferation of digital platforms. Key trends include the rise of connected TV (CTV) advertising, in-app advertising, rich media, and interactive ads, as well as the growing importance of privacy and data security.