Customer service has always been the underdog that significantly affects a business’s performance but is always overlooked due to a lack of time and resources. While businesses focused on generating more revenue, they missed an important contributor to that revenue- a positive customer experience. Using the customer’s perspective to stay aligned with the evolving customer needs is essential for your business to foster a customer-centric culture.

Measuring how marketing is helping to drive your business is critical. But often marketing’s impact is not widely understood and appreciated.

Data is the fuel that drives government, enables transparency, and powers citizen services. But while state and local governments seek to improve policies, decision making, and the services constituents rely upon, data silos create accessibility and sharing challenges that hinder public sector agencies from transforming their data into a strategic asset and leveraging it for the common good.

From performance metrics to resource allocation to customer feedback, there is a lot of important data for businesses to track today, and it can be difficult to measure it all - but with the right dashboard in place, collating such data for everyone to see is much easier. However, if your dashboard analytics is outdated or otherwise not updated fast enough, you may not be able to provide accurate data about your company's performance at all.

Iguazio users can now run their ML workloads on AWS EC2 Spot instances. When running ML functions, you might want to control whether to run on Spot nodes or On-Demand compute instances. When deploying Iguazio MLOps platform on AWS, running a job (e.g. model training) or deploying a serving function users are now able to choose to deploy it on AWS EC2 Spot compute instances.

New data tools and technologies can help your team get more done with less budget, headcount and risk.

If you’ve been following commentary on the modern data stack recently, you may have noticed the tent’s steadily getting bigger. There also appears to be a growing ecosystem of companies that are beginning to take the next step, going from what a modern data stack can look like, to now internalizing this concept in their very own product solutions.

We all make daily decisions with the help of AI, perhaps without even realizing it. Advanced automation technologies using data from smart devices and social networks make it easier than ever to offload your decision-making to an algorithm. Recommended posts, ads, suggested products — none of this is possible without automation. But machines can only get us 90% there. They’re great at consuming and analyzing large volumes of data, but still have trouble with edge cases.