Intelligent CIO Europe Issue 14 | Page 32

EDITOR’S QUESTION HOW IMPORTANT IS DEVELOPING A FLEXIBLE AND MOBILE WORKFORCE IN TODAY’S DIGITAL ENVIRONMENT? ////////////////////////////////////////////////////////////////////////////////////////////////////////// M adhukar Kumar, Head of Developer Advocacy, Redis Labs, discusses the trends he believes will put us squarely in the middle of a zero- latency future. believe will together make this phenomenon a reality. If a machine (hardware plus software) starts interacting with humans or other machines in less than a second, it is a zero-latency device or app. The tech industry regularly sees the rise and fall of several hype cycles including the advent of the dot com era to cloud computing, Big Data and more recently, Artificial Intelligence (AI) and Blockchain. When you talk to Alexa or Google Home, the devices often respond in less than a second, but I think it could be even faster. Think about autonomous vehicles, facial recognition, smart homes etc., where everything needs to come together to make a decision and act based on hundreds of inputs in a few milliseconds. Now imagine that kind of computing is everywhere around you. That, in my mind, is a zero-latency future. In this future, any response time over one second will be unacceptable. Let’s look at just a few of the trends shaping this future: Looking back, it’s clear that each one of these major changes was additive or in some way related to the disruption that happened before. For example, AI would not be where it is today without Big Data. Big Data would not have been possible without the advent of cloud computing and cloud itself would be non-existent without the world wide web boom in the 90s. Armed with this hindsight, I believe we are about to make technology’s next major leap due to several forces coming together. In a nutshell, I believe we are headed into a zero-latency future. Now before you raise an eyebrow, let’s define what that means and then look at all the individual trends I 32 INTELLIGENTCIO 1. Quantum computing: Although we probably won’t see an immediate replacement of classic computers in the next year, IBM has already opened up a playground where people can start experimenting with this new technology. These developments are going to fast- track opportunities for exponentially faster compute processing power 2. 5G Internet: The first 5G networks are expected to go live in Britain this year, making it possible to download – not merely stream – a full HD movie in less than 10 seconds using a 5G network 3. Persistent memory: Intel recently announced the launch of Optane DC persistent memory, which looks like any standard RAM but can store terabytes and even persist data when power is switched off. With this increased capacity, vast amounts of data can be processed in real time and persisted without ever touching a disk 4. Real-time data processing at the edge: A lot more data processing will happen in real time at the edge (i.e. in devices for autonomous cars, Smart Cities, facial recognition, wearable tech and more) 5. Data processing within compute: In traditional Big Data implementations, we saw programming logic move to the data (think MapReduce and Hadoop). Now, I expect we’ll begin to see the reverse. Data and more importantly data types will be pulled into compute for near-zero latency processing because any latency from seeking data on a disk will no longer be acceptable www.intelligentcio.com