1. Self-Service BI Empowers Non-Technical Users However, enterprise adoption is now widespread. Executives, department heads, and cross-functional teams increasingly rely on dynamic dashboards and real-time KPIs to support data-driven decision-making across organizations. The…
Absolutely. We’re already seeing the shift toward a hybrid, high-skill support model. As AI takes on more repetitive and transactional tasks, human support professionals are freed up to focus on higher-value work: complex…
Gartner forecasts that by 2029 agentic AI will autonomously resolve up to 80 percent of frequent issues. They expect this automation will reduce operational costs by 30 percent. Further, by 2030 it is…
I also recommend integrating real-time observability tools like Pixie or Grafana Tempo to diagnose and optimize cluster performance continuously. Looking across your research and publications, what do you believe is the single most…
Moreover, vendor lock-in makes it difficult to switch away, as moving workloads often incurs massive time and migration costs, limiting flexibility when startups need it the most. On-premise or hybrid infrastructures, while offering…
Moreover, companies are exploring policies to mitigate the social impact of automation. Proposals such as taxing companies that replace human workers with robots aim to fund retraining programs and support displaced workers. However,…
Cognitive Insights-as-a-Service (CIaaS) has emerged as a transformative model, enabling businesses to adopt AI-driven decision-making with unprecedented speed and simplicity. Several macro and microeconomic factors are contributing to its rise, pushing enterprises to…
The biggest barrier, perhaps, is that organizational change management and adopting new capabilities can be a challenge – and the larger the organization, the harder it is to embrace a “new” way of…
This information is not just for show. It’s built on complex algorithms and millions of data points gathered mid-race. These analytics give fans a deeper understanding of what’s unfolding on the track and…
Containerization, particularly in Kubernetes environments, is essential in microservices deployment. With larger sizes of applications, however, they are much more difficult to manage, and this creates conflict over resources, security issues, and inefficient…
There’s little question that data is vital for today’s companies. That’s why it’s troubling that so few companies are using it well. For example, only 41% of companies use it to guide strategic…
When integrating AI into existing workflows, collaboration across departments is key. How do you suggest aligning IT, legal, and marketing teams that often work at different speeds and with different priorities? Speed is…
Predictive analytics plays a crucial role at the population level, enabling healthcare systems to manage risks across entire groups. It allows healthcare providers to track and predict disease outbreaks by monitoring trends and…
But again, the critical thing is to ensure that your business begins making these governance changes at the same time that it adopts AI. Don’t wait until you’re already experiencing unchecked risks to…
At the same time, privacy regulations like GDPR and CCPA have added layers of operational complexity, demanding stricter governance and compliance measures. By Alfred Sin, Head of Personalization, Amperity The technology is ready….
