Success with the IoT starts with understanding 'Thing Management' by Timothy Chou via @infomgmt

Most organizations think of asset management as the practice of tracking and managing IT devices such as routers, switches, laptops and smartphones. But that’s now only part of the picture.

Great opinion piece by Timothy that gives some great examples and good advice.

Build your own Robust Deep Learning Environment in Minutes by Dipanjan (DJ) Sarkar via @Medium

You have many options for configuring a GPU-enabled training environment in the cloud. This article details some of them and describes minimal configuration cloud-based deep learning environment providers (Google Colaboratory, Paperspace Gradient°, Lambda GPU Cloud, AWS Deep Learning AMIs, etc.) that give you point-and-click access to the environment.

I found this really interesting and it was great to have it explained so clearly.

WEBINAR; Predictive Analytics: Practical Applications 4th April 2019

Data Science Central Webinar Series Event

Predictive Analytics: Practical Applications Join us for the latest DSC Webinar on April 4th, 2019 From optimizing processes to increasing revenue and driving business growth, executives are realizing the value in artificial intelligence. However, many organizations struggle to bring the necessary people, processes, and technology stacks together. In this latest Data Science Central webinar, we’ll focus on the business processes needed to implement AI-driven insights within an organization. We will discuss: Investments in new platforms and roles for your strategic roadmap End-to-end business-focused delivery strategy good for the whole team Facilitating change with the right tools and people Attend to hear real ROI use cases of an end-to-end AI rollout in retail and the financial services industry and some of the successes and setbacks along the way. It's time to empower everyone to solve anything. Speakers: Razvan Nistor, Chief Data Scientist -- Keyrus Melissa Burroughs, Product Manager -- Alteryx Hosted by: Stephanie Glen, Editorial Director -- Data Science Central   Title:  Predictive Analytics: Practical Applications Date:  Thursday, April 4th, 2019 Time:  9 AM - 10 AM PDT   Space is limited so please register early: Reserve your Webinar seat now

9 Artificial Intelligence Trends You Should Keep An Eye On In 2019 by Tyler Durden via zerohedge

Artificial Intelligence has become a hot topic in tech circles. It has not only changed our lives, but it has also disrupted every industry you can think of.

I found this an interesting article and thought it was worth a share.

SLIDESHOW: 7 emerging data security and risk management trends by David Weldon via @infomgmt

Risk appetite statements, governance frameworks and password-less authentication are among the growing trends that will impact security, privacy and risk leaders, says Gartner.

Some good observations that are definitely worth thinking about.

10 Git Commands You Should Know by @discdiver via @Medium

Understanding these commands and their common flags can save you a lot of time. This article covers a range of commands from inspecting changes and undoing to escaping Vim.

Some of these are really useful and this article is well worth a bookmark and some applause.

Close to half of startups jump on the AI bandwagon without the tech by @SecurityCharlie via @ZDNet

According to a report by MMC Ventures, close to 40% of European companies claiming to use AI don’t actually use it, with 1 in 12 EU startups claiming to be an AI-focused company. It may be because startups claiming to develop AI raise more capital through investment rounds than software firms without AI. Or it could just be that people are still misusing the term AI.

I think it has always been the case that new technology terms have been misunderstood, or used for purposes to get funding. I think there needs to be better clarity and understanding of terms as it feels very dishonest to be using something as amazing as AI to get kudos or funding when it is not actually being used.