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.
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.
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.
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.
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.
Human / AI Interaction Loop Training as a new approach for interactive Learning – Livestream of the MLCon keynote
In the final keynote of ML Conference 2019 in Berlin, Dr. Neda Navidi dives into the topic of human-AI interaction, looking at a new approach for interactive learning. Here’s the livestream of the keynote if you couldn’t make it to Berlin this year.
Every Monday, we take a step back and look at all the cool stuff that went down during the previous week. Last week we glimpsed the future of Kotlin, learned about a tool to use reactive programming with SQL databases and saw how AI and ML help in a smart city. Let’s take a closer look.
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.
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.
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?
In this session, speaker Michael Kieweg will discuss data and AI and the relationship between the two. Get comfortable and watch his session from the Machine Learning conference where he discusses how to tackle challenges related to data quality and how to use data for better artificial intelligence performance.
As technology advances, users should keep up and evolve their security to stay one step ahead of hackers. AI software helps in threat analytics and ensures better cybersecurity and machine learning can help detect threats earlier. In this article, find out how AI can be used to help with security, and why it is perfect for the job.
Artificial intelligence and machine learning are changing many industries, including e-commerce. This article examines some of the biggest trends in e-commerce that have appeared thanks to the growing use of AI technologies. Using these technologies can set your enterprise ahead of the competition and give you the edge you need.
Eric Reiss started working with user experience (UX) long before the term was even known. Over the past 40 years, he has encountered many issues that have disturbed him – from creating purposely addictive programs, sites, and apps, to the current zeitgeist for various design trends at the expense of basic usability.