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No-code and low-code technologies have been making inroads for years but have never quite delivered on their promise as reliable alternatives to traditional software development for complex, business-critical applications. Then COVID-19 forced a new, expedited timeline for moving analog in-person processes to semi- or fully-automated online ones. At the same time, IT and engineering roadmaps have been thrown out the window as technical teams scramble to adjust to new distributed working conditions while juggling multiple "hair on fire" problems. As a result, operations and business teams have been left with urgent needs for new business applications and scant developer resources, creating the perfect storm for no- or low-code solutions to emerge as the savior of productivity. But decision-makers should be wary of treating these platforms as a panacea to avoid costly failures and lost time.

What Are No-Code and Low-Code Technologies?

To understand how no- and low-code solutions fill the gap between business demand for development and supply of technical resources, it is helpful to understand what those terms mean exactly. No-code platforms allow people with no technical knowledge to stand up complex, cloud-based business applications using simple, drag-and-drop tooling. Relatedly, low-code platforms are also based on the concept of abstraction through pre-built software building blocks oriented towards accelerating time to development by reducing the amount of “original” code that needs to be written in any given application. Perhaps because of their shared DNA, there is a trend towards convergence; as no-code platforms become more powerful and versatile with add-ons and application marketplaces, and low-code platforms build features to require less coding. Given this trend, we can collectively refer to these platforms as Low-code Development Platforms.

Source de l’article sur DZONE


Introduction

According to a 2016 research by Mckinsey, it was revealed that the total annual external investment in AI ranged between $8billion to $12billion in. Statistically, this is a clear sign that AI is making a great impact in the global industries especially the financial sector. In other words, it’s a revolutionary impact in the financial industry can not be underestimated.

Blockchain, on the other hand, has also shown its immense potential in so many industries especially in the finance industry. In fact, it’s digital disruption is greatly impacting how so many businesses operate in our contemporary world. While so many industries are beginning to embrace the amazing options these technologies – Artificial intelligence and Blockchain technology offer – helping them to create more value,  boosting sales, and so on,  it’s interesting to know that the combination of both will positively revolutionize the future of the fintech industry.

Source de l’article sur DZONE

Oui, les disques durs mécaniques sont toujours plus volumineux. Mais les nouvelles technologies en matière de SSD repoussent les limites de performance tout comme de tarif du flash. Même si la pénurie guette, le SSD semble être au point de bascule de l’adoption massive en 2018.
Source de l’article sur ZDNet

Investissement, sécurité, SSD, SDN, cloud, et hyperconvergence, une étude Interop ITX fait le point sur les priorités des entreprises côté stockage l’an prochain. De quoi se préparer.
Source de l’article sur ZDNet