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#AI

Interview with Adam Smith, Founder and CEO of Kite

“Kite’s mission is to automate away the tedious parts of programming”

We spoke to Adam Smith, founder and CEO of Kite, the AI-powered coding assistant that uses models trained on 40 million open source code files. See how Kite helps developers code smarter and faster, how it handles data privacy, and what’s in store for the future of using deep learning for code.

Critical AIOps elements

Five Trends Driving the Next Wave of AI and AIOps

What does the future of AI and AIOps hold? Will Cappelli, CTO EMEA and Global VP of Product Strategy at Moogsoft outlines the five biggest trends affecting AI and AIOps today and why IT organizations should track their development and their implications.

Preparing for change

Autonomous AI, the new necessity

Not implementing AI in some form could mean literally the end of your business as competitors pass you by. AI isn’t taking jobs away; in fact it actually might increase job satisfaction by taking over redundant, mundane tasks.

First steps towards success

What is the AI adoption success formula?

We are in the middle of yet another wave of digital transformation with AI at its core. Business leaders’ skills are put to the test here, as transformation is never an easy task. Let’s look at the common hurdles of AI implementation.

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.