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?
Welcome to the future of debugging. Facebook’s new tool SapFix uses advanced AI to debug code and create patches. Are we about to enter a post-debugging world?
Artificial Intelligence and Machine Learning our one of the hottest topics out there and not only in the programming world. Packt surveyed more 2000 professionals to find out what is the developers’ perspective on AI. Let’s have a closer look at some of the most interesting results.
AI has a huge potential for speeding up and improving the accuracy of software development processes. In this article, Maria Weinberger explores how the process might be streamlined with the application of artificial intelligence.
Prepare to be dazzled by what this small team of academics managed to achieve. Fast.ai is an organization that aspires to make machine learning accessible to everyone. Their most crowning achievement? Well, not much. Just outperforming the AI giant of Google!
The future is bright for AI. Whether data science can change the world or not, that remains to be seen. One thing is sure though: developers should collaborate more efficiently with data scientists & engineers. We talked to David Wyatt, Vice President EMEA at Databricks about the challenges when approaching AI initiatives, the role of Spark in this field and the next step for data engineering and data science teams.
The field of artificial intelligence has shown tremendous progress in the past decade. But there’s more to AI than chess-playing robots. Mat Leonard, the Head of Udacity’s School of AI, explains how the history of deep learning is the history of a programming revolution. Are you ready for Software 2.0?
