The concept of speed as an advantage is not new. Over the course of 700 years, the Romans built and maintained a system of roads extending over 55,000 miles to enable speedy communications and the quick movement of troops across the vast expanse of the empire.
What’s different today is that digital technologies have warped our perception of time. As an example, a person might say they live five minutes from town, but that can have widely different meanings based on whether they were referring to walking or driving a car. Digital technologies compress our perception of time and space while expanding our expectations of what can be accomplished in a given time. We expect to complete the equivalent of one hour of shopping in a supermarket in one minute online. These changes significantly impact the way businesses must operate in a digital era to compete and remain relevant.
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Chatbots and AI – the FinTech Trends to Watch | @CloudExpo #AI #ML #Cloud #FinTech
Fintech is a lucrative, yet quite saturated market. In order to stay competitive, businesses should keep track of the emerging trends and be able to capitalize on them before their competitors do.
Artificial Intelligence is currently among the most promising fintech trends. Leading financial brands such as Capital One, MasterCard, as well as hundreds of startups have set the pace for the adoption of virtual financial advisors. If you want to stay ahead of your competition or simply explore the opportunities for AI in fintech, this article is for you.
Passwords: What If Everything You Know Is Wrong? | @CloudExpo #Cloud #Cybersecurity
Every time there’s a notable cybersecurity breach, someone (even me) writes a comprehensive primer on the proper way to create “secure” passwords. Lather, rinse, repeat. Until a few years ago, everyone (including me) based their password advice on a 2003 paper from the National Institute of Standards and Technology (NIST), with the catchy title “NIST Special Publication 800-63.” The paper recommended that passwords be cryptic, contain special characters, and be as close to nonsense as possible.
Cloud Monitoring Lessons Learned from Outages | @CloudExpo #Cloud #APM #Monitoring
According to this year’s Internet Trends Report, the cloud is steadily expanding and companies are spending more on these services. Businesses are opting to use these third-party services rather than build their own internal tool because they are often easier and less expensive to deploy. There’s no need to assign IT resources and purchase necessary hardware to deploy a new software solution, so the business unit can sign a contract and start using a solution almost immediately.
What Is Java #DevOps? | @DevOpsSummit #CloudNative #Serverless #AI #DX
DevOps sees the coming together of practices, philosophies, and tools that allow you to create services and applications very quickly. This means that you can improve on your apps and evolve them at a much faster rate than those developers who are using traditional software development processes. We’ve talked about DevOps, in general, a great deal, but today, we’re going to dig a little deeper and take a look at Java DevOps specifically.
Demystifying Machine Learning | @CloudExpo #AI #ML #Analytics
Are machines really intelligent? Learn the answer and how it can affect your business. It’s machine-learning 101 for curious business leaders out there.
Autonomous cars taking us on our favorite and most efficient routes, virtual assistants serving up the exact data a doctor needs to diagnose an illness or that an engineer needs to identify a faulty part, customer support bots that are always available to answer your questions and book your appointments accurately and quickly. All of these use-cases are either here or will be soon, and they all rely on Machine Learning to be successful. But how do the machines learn? There’s a lot of market confusion out there, and it’s important to take a step back and understand what we’re talking about and why.
Mark Troester
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When “IoC” Meets “SoC” | @DevOpsSummit @Cavirin #DevOps #DevSecOps
Not very long ago, in my IT consulting career, I used to be responsible for the launch of mission-critical applications that help enterprises leap into the cutting edge of the digital business revolution. There were a lot of hard skills required for leading such a mission that involved getting the system architecture and software design right early, mentoring and managing the engineering resources, and tracking the progress to the satisfaction of the business analysts who put together the requirements and the stakeholders who funded the projects. Those skills, while hard, were largely deterministic and manageable vs another set of skills required to ensure that the built applications come alive in production environments, and run reliably and securely thereafter. This other set of skills often pit the application developers against the infrastructure administrators and InfoSec professionals.
The Future of Automation | @DevOpsSummit #AI #ML #DX #DevOps #DigitalTransformation
We’ve all read the dystopian fiction, watched those apocalyptic movies and heard a myriad of prophetic warnings heralding our obsolescence. Surely now we’re just a couple of years from flipping the switch on a Skynet of our own making and condemning mankind to the annals of history.
Actually, we’re not entirely sure what the future holds, but it’s probably not fire and brimstone. For detractors and naysayers of technology, could there be a more fitting image than Terminator 2’s opening shot? A hulking, skeletal, humanoid machine crushing a human skull beneath its foot. Listening to ‘techno-skeptics’ can sure make it feel as though that’s the end which inevitably awaits us. If we continue down our current path of imbuing machines with increasing levels of autonomy, learning abilities and artificial intelligence, eventually we’ll inadvertently construct our own obsolescence – if not destruction! We must be careful, unless we want to find ourselves subjugated by a machine army…
Finally Getting the Most out of the Java Thread Pool | @CloudExpo #JVM #Java #Cloud
First, let’s outline a frame of reference for multithreading and why we may need to use a thread pool.
A thread is an execution context that can run a set of instructions within a process – aka a running program. Multithreaded programming refers to using threads to execute multiple tasks concurrently. Of course, this paradigm is well supported on the JVM.
Although this brings several advantages, primarily regarding the performance of a program, multithreaded programming can also have disadvantages – such as increased complexity of the code, concurrency issues, unexpected results and adding the overhead of thread creation.
In this article, we’re going to take a closer look at how the latter issue can be mitigated by using thread pools in Java.
[slides] Analytics and #FinTech | @CloudExpo #AI #ML #DL #DX #API #DigitalTransformation
Historically, some banking activities such as trading have been relying heavily on analytics and cutting edge algorithmic tools. The coming of age of powerful data analytics solutions combined with the development of intelligent algorithms have created new opportunities for financial institutions. In his session at 20th Cloud Expo, Sebastien Meunier, Head of Digital for North America at Chappuis Halder & Co., discussed how these tools can be leveraged to develop a lasting competitive advantage in priority areas: customer analytics, financial crime prevention, regulatory compliance and risk management.