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#AI

Volume, velocity, and variety

Decoding the 3 potential advantages of big data

Big data has been present in the industry for quite some time now. These huge data chunks helps enterprises keep a clear track of the information regarding their customers, products, environment and about themselves.

Flatten the curve with AI

Could AI solve the COVID-19 crisis?

Artificial intelligence could help us fight the coronavirus crisis. AI can, for example, already identify pneumonia on a CT scan in seconds with a high degree of accuracy. See what other things it can do to help flatten the curve.

The inevitability of AIOps

How AI will earn your trust

We’re going to need high dimensional probability and statistics and model it in high dimensional geometry. This is why AIOps is inevitable. This article examines four of the reasons why people distrust AI and what properties define big data.

ML at the heart of business

3 global manufacturing brands at the forefront of AI and ML

How can machine learning and artificial intelligence change the landscape of manufacturing? According to reports by Deloitte and McKinsey, machine learning improves product quality and has the potential to double cash flow. Let’s take a look at three global manufacturers who are already on board.

Bringing AI to video and images

Using AI for managing images and videos at scale

#AI

AI is finding a wide variety of uses for images and video, including auto-cropping and resizing, automating image tagging, and creating video auto-previews. This article examines five examples of how AI is used to enable image and video management at scale at Cloudinary.

The ethics of AI and ML

What data should AI be trained on to avoid bias?

Humans are introducing their own biases and prejudices into machine learning. As advanced as AI can be, having been built by humans, it can still share some of our own ethical shortcomings. The usage of proper databases during training is one of the ways to help prevent biases from developing within artificial intelligence.

Part 3 of 3

AI and AIOps: Top 5 User Trends for 2020

What will 2020 look like in terms of AI and AIOps? I thought I’d break this down into three distinct areas: technology, market and users. For each of these I’ve come up with five major trends which I think will have significant impact on how AIOps, and AI in general, evolves over the next twelve months. At the outset I’d like to say that the most significant changes will be seen in user behaviors and user practices, this is the year where we will see substantial transformation. Let’s finish this series with five user trends…

Part 2 of 3

AI and AIOps: Top 5 Market Trends for 2020

What will 2020 look like in terms of AI and AIOps? I thought I’d break this down into three distinct areas: technology, market and users. For each of these I’ve come up with five major trends which I think will have significant impact on how AIOps, and AI in general, evolves over the next twelve months. At the outset I’d like to say that the most significant changes will be seen in user behaviors and user practices, this is the year where we will see substantial transformation. Now, let’s continue where we left off with the five market trends…

Part 1 of 3

AI and AIOps: Top 5 Technology Trends for 2020

What will 2020 look like in terms of AI and AIOps? I thought I’d break this down into three distinct areas: technology, market and users. For each of these I’ve come up with five major trends which I think will have significant impact on how AIOps, and AI in general, evolves over the next twelve months. At the outset I’d like to say that the most significant changes will be seen in user behaviors and user practices, this is the year where we will see substantial transformation. But, let’s start with the five technology trends…