Today’s customers expect a seamless, intelligent, and personalized experience that operates at the speed of the cloud and continuously available. To deliver an optimal customer experience, enable you to stay ahead of competitors. You need a distributed, intelligent, and responsive architecture which only possible when the right database is in place. Read this article to […]
Category Archives: Data
Secure Data Collaboration in Enterprise Innovation Strategy
Securely connecting the right data to the right technology is the key to proving innovation success. AI and ML can take innovation insights to the next level, adding new levels of intelligence to your program. However, we know that the risk associated with new technology can stifle innovation. Read on this article which includes a […]
How MLOps Deliver Machine Learning Applications to Scale Production AI
As you work to build your business into an AI-driven enterprise, you’ve probably encountered a few baffling pitfalls along the way. While you have hired top-notch data scientists to build models and invested in expensive data science tools, you still can’t get your AI projects off the ground. Why? What factors make it so hard […]
Key Actions to take Proactive and Sustainable Approach in Data Privacy
For data to mean something, it needs to be consumable by everybody in the organization, not just the data whizzes. And today, more and more businesses want to put better data into the hands of the people who need it to do their jobs. If you’ve been tasked to lead a new data initiative or […]
Hyperscale and Microscale Cloud Platforms as Global Data Center Growth Trends
Hyperscale cloud platforms continue the relentless expansion of their physical data center footprint, now turning increasingly to emerging markets like Indonesia and South Korea. This is happening amid a massive shift of enterprise computing workloads to these platforms. Meanwhile, a lot of investment is going into the deployment of edge-computing capacity at much smaller sites […]
7 Cs Fundamental Principles of Data Quality?
Organizations with healthy contact data save money on shipping and direct mail costs; they formulate effective business strategies and their customers experience high levels of satisfaction. Data Quality today is, first-and-foremost, a bottom-line issue that businesses must address to stay competitive. To help managers and executives, marketing professionals, and other non-technical personnel understand what data […]