Despite decades of development, deep learning has been boosted by the increasing processing power of computers and the immense amount of data available, which has allowed it to obtain some achievements that were unthinkable years ago. Deep learning is at the heart of what we know today as artificial intelligence. However, like everything that is talked about a lot, deep learning has formed a series of myths that do not always obey reality.
I’ve been designing monitoring tools for almost 10 years now, and in that time a lot has changed. The infrastructure we build software on, for example, has been transformed multiple times—moving first from physical hosts to VMs in the cloud, then from VMs to containers, and now from containers to serverless and cloud service-based infrastructure.
Artificial intelligence (AI) is already competing with humans for the jobs so many of us have built our careers on. Whether this is progress or the beginning of the end of civilization, it’s probably inevitable. But don’t panic: robots still can’t feel, which is good news for anyone aspiring to a long and fruitful career.
This month, we are excited to deliver additional AppDynamics functionalities across observability, intelligence, and usability that will help enterprise companies gain end-to-end intelligence across customer experience and application performance.
AppDynamics surveyed 6,000 global IT leaders about application performance monitoring and AIOps. Read on to discover the trends shaping the space.
We caught up with IT leaders from today's most innovative brands to get their thoughts on how AI will transform IT operations. See what they have to say.
Boston and Tel Aviv, October 24, 2018 — Logz.io, the leader in AI-powered log analysis, releases the first robust security application built on the open source ELK Stack, bringing powerful and scalable security monitoring and analysis directly into the DevOps workflow.
AUSTIN, Texas — October 9, 2018 — Today at SpiceWorld 2018, Spiceworks unveiled how new artificial intelligence capabilities are being used to power personalized experiences at scale and more directly connect technology buyers and sellers in the $3 trillion IT industry. The AI capabilities enable Spiceworks to connect technology buyers with the people, tools, and information they need to support their organizations with confidence.
Another holiday season will soon be upon us, and many retailers and eCommerce businesses are already making plans. As you take inventory of what you learned last holiday season, let’s start with some lessons learned by the entire retail industry this time last year. In addition to stocking up on hot items and planning your promotions, the most competitive sites found that using AI/ML to optimize customer experience not only kept customers happy, it dramatically increased their revenues.
At first glance, applying machine learning to Continuous Delivery might sound a bit like cracking a peanut with a sledgehammer. I mean, how hard can deployment automation actually be? As it turns out, it’s way more complex than we think.
