For our next specialist interview in our series speaking to technology and IT leaders around the world, we’ve welcomed Jeff Stephens, co-founder and CTO of EyeQ Imaging Inc. Jeff has been in product development and technology since graduating from the University of Texas at Austin with a Mechanical Engineering degree and started out in hardware development for Dell, Inc in 2006, but always was interested in software and web development as well.
Measuring how marketing is helping to drive your business is critical. But often marketing’s impact is not widely understood and appreciated.
Does your organization use testing as a catch-all safety net for quality? Testers can often become the gatekeepers and decision-makers regarding whether something is ready to be “signed off,” which creates silos and can slow down releases. Nowadays, there is a lot more talk and emphasis in the testing and QA industry about shifting towards a quality engineering approach to build quality-in, and for everyone to contribute to the overall quality of what is being delivered.
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.
Organizations invest in software with the idea that the new tools will deliver a variety of benefits. Some benefits are more qualitative, such as an improved user or customer experience, but others can have a direct impact on your bottom line. Whether it's an asset management solution, payroll system, or procurement application, technology has the ability to save organizations substantial amounts of money by streamlining your business processes.
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.
