How data is collected and analysed is changing at exponential rates. In industry — and I know this from talking and consulting with hundreds of companies — so much data is being collected that many companies are either confused with, or overwhelmed by, all of the ways to leverage and analyse their data.
At the high end of High-Performance Computing, the disruptive arrival of cloud computing has often been met with skepticism by those accustomed to making decisions upon hard evidence - a rare commodity in the nebulous cloud sector.
Psst, please only share this enterprise quantum computing insight with your HPC enthusiast friends. My boss would have a bird if he thought I was leaning 2+ years into the future with enterprise quantum computer hosting material!
In the early days of industrial high-performance computing (HPC), modeling and simulation (M&S) was, in many ways, the stalwart - the ideal domain area where companies could leverage advanced computing resources. Today, a confluence of traditional HPC M&S with artificial intelligence (AI) is occurring, changing the solution set significantly. Let's look at this in more detail...
On Monday of this week, the Bank of England governor Mark Carney promised to reinvent the Bank of England to make it fit for the “new economy” of the “Fourth Industrial Revolution", reflecting changes in how society, business and government operate.
Blink, and the silicon industry changes. I thought we knew what kinds of microprocessor we needed, and the silicon chip makers were just getting on with making them faster, cheaper and better. But now, I’m seeing reports of a whole bunch of so-called “AI chips”. So what’s happening, and why?
The birth of AI chips is a strange thing, because they are not coming from the usual places: cloud providers like Google and Alibaba, telecoms firm Huawei, and tiny start-ups like GraphCore. IBM is making AI chips, after it seemed to be scaling down its silicon work. And even Intel, when it got involved, bought a start-up called Nervana, and then teamed up with Facebook.
With the deadline for the UK's Brexit decision now put back to October 31, businesses might well view Halloween 2019 with terror. With data processing and storage so vital for many sectors, the question of how Brexit will affect data movement across borders is a significant one.
A Google search for the words "Brexit" and "Uncertainty" delivers more than 27 million results. On the other hand, you'll find just seven million results for "Brexit" and "Clarity" and a quick scan of those finds that they concern "lack of clarity". If there's one iron rule of Brexit it's that nobody knows anything.
We all know that “the Internet changed everything”, but sometimes we don’t realise how big those changes have been. Let’s have a look at one vertical sector: retail.
When the world wide web first put a user-friendly skin on the Internet in the early 1990s, people suddenly realised they could buy and sell things online. The actual implementation took a while: no-one had broadband, and proper security was impossible as the encryption algorithms such as RSA were classed as munitions by the US, and could not be sold. The first thing I bought online was the Perl script munitions T-shirt around 1992.
Only artificial intelligence (AI) can prevent social media firms from shutting their doors. Costs, fines and executive jail terms are threatened as the government tackles online harm.
Stricter regulation of social media companies is now high up on the agenda of many national governments. In the UK plans are in place to create a statutory duty of care toward social media users, and a new independent regulator with powerful sanctions is to be established.
The long-lasting Icelandic winter didn’t impact the momentum of our second AI and HPC Field Trip. Once again we gathered around 15 practitioners from the worlds of AI, machine learning, deep learning and high performance computing to network and brainstorm together, as well as tour our industrial scale campus on Iceland’s former NATO based near Keflavik.
Nvidia’s GPU Technical Conference (GTC) in San Jose always marks the start of spring. Although at this time of year the daffodils haven’t yet broken ground in Boston, but the days are warming, and the snow is becoming less frequent. In San Jose spring was in full swing with sunny days and temperatures above 20⁰C following a winter of record rains. The GTC conference addresses all things GPU and increasingly their AI use cases. Over the few years the number of attendees has ramped from a few thousand to currently in the region of 9,000. The largest grouping of attendees appears to be applying GPUs to AI deep neural network training and inference.
As a French citizen living in London with the dark Brexit cloud looming over us all, I am pleased to see some things moving in the right direction in my beloved home country such as the massive investments the Macron government has made to push for tech innovations throughout the country and the upgrades it so desperately needed.
Sometimes the combination of networking at a trade show and catching an insightful presentation provide a valuable insight into market dynamics. Earlier this year I attended the HPC and Quantum Computing show in London and following this, watched Addison Snell’s (CEO of Intersect360 Research) “The New HPC” presentation from the Stamford HPC Conference. Both confirmed my HPC suspicions garnered over the last year.