Most people reading this are likely familiar with machine learning and the relevant algorithms used to classify or predict outcomes based on data. However, it is important to understand that machine learning is not the answer to all problems. Given the usefulness of machine learning, it can be hard to accept that sometimes it is not the best solution to a problem.
It is critical than ever to have your systems and processes in place to protect your data as more and more companies are embracing digital technologies and cloud solution. Here the question arises, how? Stephanie Donahole has some interesting ideas!
If you like building things that could help you in your daily life, instead of building a dedicated project for each of your ideas, Leon is the perfect sidekick with its generic, high-level architecture. You can talk to each other, exchange text messages and even communicate with while offline! Let’s have a closer look.
With IoT, you are giving devices, vehicles, buildings the ability to host algorithms and perform functions which can only be driven by software. Therefore, AI software is a must when you need to handle the complexity of the Internet of Things. In this article, Will Cappelli explores two major intersections of AI and IoT.
Are you interested in the future of AI, humanity, and technology? A new digital magazine ConditioHumana.io explores the topics of humanity’s future in the increasingly digital world. We invite our readers to explore articles and interviews with voices from computer scientists, machine learning experts, and leaders in the humanities.
Want to build successful AI business applications? In this excerpt from “AI Blueprints”, Dr. Joshua Eckrot explains how developers can utilize Python to create content-based recommendations in the enterprise. Get ready for your AI recommendations with this proven Python workflow!
2018 has certainly been a year. As the days grow shorter, we can’t help but look forward to a brand new 2019 and all the amazing tech trends in store for us. Today, Richard Whitehead explores the future of AI and whether all this automation will put us out of a job.
What is the next evolutionary step for data analysis? In this article, Piet Loubser argues that containerization and embedded AI to make data pipelines more intelligent represent the future.
How can two of the most revolutionary concepts help one another? In this article, Ankit Patel discusses the merits of using AI alongside of blockchain for better results and better security.
If you cannot or do not want to build an AI project from scratch, you have countless choices of ready-made services. But what can you do if the finished services do not fit the project? Customizable AI and ML models in the cloud, which you can train with your own data, provide a remedy.
MacRae Linton had been contracted to build out an AI infrastructure for a startup, over an eight-month period. The startup ended up being bought out, thanks to the solid tools they built. Since then, he has made it a point to let clients know that they have options in how they approach infrastructure.
Those who forget their history are doomed to repeat it. Our tech history series continues with the cleverest of topics – artificial intelligence. From thinking machines to robot uprisings, the concept of a manufactured mind has loomed heavily over humanity. Let’s dive right in!
Are self-healing applications on our horizon? CA Technologies’ new AIOps platform hopes to bring us closer to the future of intelligent automation. What are the grand plans for AIOps and is it a potential reality or just another buzzword?
AIOps holds out the promise of delivering to busy CIOs and sysadmins the sort of AI support they need to make sense of the ever-growing complexity of their IT environments. But how to get started with AI without getting lost?