Evolution of the Modern Data Center: Embrace a Hybrid Cloud Environment
Updating legacy systems and embracing a complete digital upgrade is not for the faint of heart. However as IaaS systems and SaaS systems become imperative to enhancing customer experience, it’s inevitable. Regardless of the fact that moving business systems to the public cloud has sparked great interest, many companies refuse to take the leap.
Improving Software Delivery Process by Shifting the Balance Between Security and Speed
Companies are slowing down the development of their applications due to intricate security measures implemented at the wrong time. While this is expected on a certain level, it’s challenging to find the balance. In the world of development and security operations, it’s a constant tug of war regarding which aspect of the application should trump another.
Driving Innovation Through Data Architecture
The data architecture of today demands flexibility and consistent innovation. However, it can be difficult for companies of all sizes to incorporate flexibility into their existing systems while focusing on deploying new data technologies to flow with the times.
Quantum Computing is Nearly Here: Are You Ready?
Unlike a standard computer bit, quantum computing consists of qubits. Qubits can be either a zero or a one or a superposition of both. By harnessing the collective properties of quantum states, such as entanglement, superposition, and interference, Its is making great strides toward successful calculations.
Using AI and Machine Learning for Better Customer Satisfaction
Currently, artificial intelligence is one of the leading technology trends, growing in leaps and bounds and gaining the attention and affection of business owners and marketing teams across the globe. Most brands today prefer to deliver a personalized approach to customer service, and in markets that continue to oversaturate with options, it’s an ideal choice.
Five Steps to Modernize Your Data Using Azure
What is Microsoft Azure? Modernizing data is essential to moving to a SaaS model, but it’s one of the first steps you should take in the migration. Other than improving communications between teams and automating redundant business functions, the whole point of modernizing and moving to a cloud platform is to enhance the user experience for your customers greatly.
The Hybrid MultiCloud is Here: What Can You Build?
Another Level of Cloud Engineering In the current world of technology, it can be challenging to maintain the constantly thrown around terms and ever-evolving. Lately, you’ve likely heard of the hybrid MultiCloud, but what does it mean for you and your company?
MLOps and the Future of Machine Learning
MLOps aims to maintain machine learning models within the production industry through reliability and efficiency. The goal of ML Ops is to harness discipline and development in machine learning, which is more than necessary in this aspect of technology and data. So, now you might be asking yourself, but what exactly is MLOps? Let’s break it down a little further.
Keep Your Loyal Customers by Enhancing the Customer Journey Digitally
Most businesses today are going through a digital transformation on some level, and it’s all with the purpose of refining how your customers can interact with your business. However, successful digital transformations aren’t easy to pull off without factual data and a knowledgeable development team.
Improving Automated Software Testing with Explainable AI
Applications that utilize machine learning and AI are typically black boxes, meaning even those that created them have difficulty explaining data results and behavior. Also, given the layers of algorithms present, there is no way to determine if the results they supply are correct. Explainable artificial intelligence may just be the answer needed to any impending AI black box software test.
Understanding How to Identify and Manage Big Risks with AI
Artificial intelligence brings about the opportunity for ethical operation issues, and it’s not overlooked that companies could potentially create a bias through the use of AI. For example, both the EU and FTC have enforced regulations regarding artificial intelligence and the inequities that may result from utilizing it.