Artificial intelligence adoption across industries is skyrocketing. A McKinsey Global survey revealed that 47% of the interviewed companies have embedded at least one AI capability in 2018, compared with only 20% in the previous year. Furthermore, 30% said they are piloting AI and 71% stated they expect the overall investment in AI to grow in the coming year.
One domain in which we can witness an increase in the number of AI-driven technologies used in the business processes is retail. Read in full
A recent report revealed that 40% of companies claiming to be in the AI business do not actually have any real artificial intelligence capabilities.
The same study found that when companies did include artificial intelligence and machine learning into their businesses, the use cases were quite ordinary. Some of the most popular ways start-ups used AI included chatbots (26%) and fraud detection (21%).
These findings prove that artificial intelligence is currently the most used and, sadly, the most misused concept in technology. Read in full
For some time now, artificial intelligence has been revolutionizing the way we see banking, fintech, retail, education and even the medical system. At this point, it is clear for everyone that whatever future we might have, AI will definitely be part of it. The thing we don’t seem to agree on is how good will such technology be for humanity. On the one hand, a lot of experts believe that AI advancements will bring much value and will help humans improve their existence over the next decades. Read in full
DevOps is an IT related concept heavily debated, marketed, talked-about in the industry for quite some years. What I love most about it is that it continuously improves; it is like a living organism, as any IT company built on people’s creativity, passion and knowledge.
As I see it, if DevOps would be a person, automation would be its heart, communication and knowledge sharing would be its blood, agile product management would be its brain while servant leadership (or even further — transformational leadership) would be its breathing air. Read in full
One of the main areas we’re starting to see the proven power of artificial intelligence is in the retail sector. Whether it’s a robot salesclerk whizzing down the aisles, ready to assist customers in need of directions, or number-crunching systems that make sense of big data rendering it both manageable and actionable to help a company make informed decisions that will positively impact its bottom line. Read in full
Together with the rise of Java, Java Applications Servers (e.g Tomcat, IBM WAS) also came into the game. The idea of an application server was to have one JVM and to run multiple deployments (e.g. jar, ear, war), this way the memory footprint necessary for running lots of processes can be reduced.
Historically, the teams were well-defined in application administrators that could also be responsible with the operations aspects and developers with a focus on developing the business features of their product and not so much on how their code runs in terms of performance, reliability and so on. Read in full