In today’s data-driven companies, analytics & reporting - through dashboards are expected to deliver fast, actionable insights that support critical business decisions. Yet, according to a 2022 Forrester study, 60% of analytics initiatives fail to meet expectations because often the data feeding those dashboards is unreliable, incomplete, or misaligned (Forrester, 2022).
The artificial intelligence market is on an explosive growth trajectory – GlobalData forecasts it will reach $909 billion by 2030, up from about $100 billion in 2022, driven mainly by the rise of generative AI. This category of AI, exemplified by popular tools like ChatGPT, DeepSeek, Google Gemini, etc. has sparked widespread innovation by enabling businesses to generate original content and automate complex tasks. Companies in the MENA region are rapidly adopting generative AI, aiming to harness its potential for significant productivity gains, deeper personalization, and innovative customer experiences, while also confronting the critical need for responsible and ethical deployment.
Generative AI has compressed delivery times: what took eight hours now takes three. But where do the remaining five hours go?
Something subtle but seismic is happening in enterprise software. For years, SaaS thrived on UX—well-crafted interfaces designed to guide humans through increasingly complex workflows.
For decades, consulting thrived by delivering polished slide decks filled with frameworks and benchmarks.
Brands have long envied the troves of first‑party data sitting inside retailer systems. The average shopper enrols in roughly 13 loyalty programmes but stays active in barely half of them, so the “relationship” often stops at the cash register.
The Sales and Operations Planning (S&OP) process aims to align sales, operations, and finance departments around an integrated and feasible plan. More than a monthly agenda, S&OP is a continuous cycle that seeks to anticipate the future and prepare the organization to meet it efficiently. Today, Artificial Intelligence (AI) is already a reality in parts of this process — especially in demand planning. But its potential goes further: as we evolve in analytical maturity and in the integration between teams and data, AI can become a central gear for faster, more accurate decisions aligned with business reality.
As the future of advertising rapidly evolves, so too does the way we understand and reach consumers. Google is ushering in a new era of search metrics that deliver more granular, actionable insights for marketers. Two new metrics, User Searches and Ad Opportunities are at the forefront of this transformation, powered by advancements in AI and multimodal search capabilities.
The adoption of AI brings significant ethical considerations and governance challenges that must not be ignored. The way we develop, deploy, and manage AI technologies will fundamentally impact the future of our societies and economies.
