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##AI

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…

The next decade in modern app development

Four ways AI and integration will come together in 2020

Artificial intelligence is complex, and as integration with businesses continues, certain areas will impact enterprises. We are seeing a rise in integration, especially in regards to apps relying on API for combining services and data from different systems. This article explores four scenarios that will be affected by AI and integration in the year 2020 and beyond.

Delivering innovation

Why AI + big data = Unified data analytics

In the bigger picture, big data services companies are providing better-integrated Data analytics services and an AI scale to accelerate innovation. What is unified data analytics? Read about the Unified Data Analytics platform and the benefits of AI and big data analytics solutions.

Achieving efficiency

The impact of ML and AI in security testing

Manual efforts to gather such a huge amount of information could eat up a lot of time. Hence, AI is leveraged to automate the stage and deliver flawless results while saving a lot of time and resources. Embedded AI and ML can help security testing teams in delivering greater value through automation of audit processes that are more secure and reliable.

Protecting our data

How AI has the power to save the world from identity theft

Identity theft rose to the top of crimes reported by US customers and it continues to affect thousands of people. ID theft, unauthorized payments, and even blackmail is possible with the information that hackers steal every year. Is artificial intelligence the solution that we need to protect our sensitive information on a global scale? New technologies such as DeepCode may reduce ID theft.

Looking back to see forward

What 5 new innovations will open source yield in the 2020s?

We all know that a lot can change in ten years, especially in the world of technology. 10 years ago, no one knew what microservices were or could expect AI in our daily lives. Take a look at what the past decade says about the future of open source software. Chris Ferris discusses some of the trends that changed the decade, and what the 2020s have in store for us.

Personalizing city experiences

Artificial intelligence & machine learning: The brain of a smart city

In this article, explore how a combination of artificial intelligence and machine learning can act as the brains of a smart city while simultaneously considering how a smart city experience can become more personalized without compromising the privacy of its residents. Read on to see what the advantages and disadvantages of an ML and AI-powered smart city are.

The future of AI

Why computational neuroscience and AI will converge

Neural networks have peaked in their ability to deliver effective and meaningful results. There are four big developments that will happen with AI. A crossover with computational neuroscience will happen soon. What will be the impact of this crossover? There will be an increasing focus on how AI algorithms interact with one another.

Watch Juantomás Garcia Molina's ML Conference session

How we used reinforcement learning to solve the Abbey of Crime

Can AI play and complete a game? Juantomás Garcia Molina’s session from the Machine Learning Conference looks at developing artificial intelligence that can complete the first 3-D RPG, created in 1987. Many people had difficulty completing this technological wonder, so how will artificial intelligence fare?

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