Artificial Intelligence is a technology that simulates human intelligence processes by machines and computer systems. There's a plethora of different Artificial Intelligence applications including natural language processing, deep learning and speech recognition just to name a few. In 2023 all companies will be under pressure to reduce their carbon footprint and minimize their impact on the environment. In this respect, the race to adopt and profit from AI can be both a blessing and a hindrance. AI algorithms – as well as all the infrastructure needed to support and deliver them, such as cloud networks and edge devices – require increasing amounts of power and resources.

Data Science combines statistical and computational skills together with Machine Learning for data-driven problem solving. This rapidly growing area includes large-scale data analysis, DevOps and deep learning, and has applications in many tech and finance related areas, amongst others. Data Science and Machine Learning distinguishes itself from other computer guided decision methods by creating prediction algorithms using data. Well known examples of these applications include spam detectors, movie and music recommendation systems as well as speech recognition tools. Data Science and Machine Learning platforms provide a variety of basic building blocks that aid in creating different types of data science solutions.

Bojan is a Machine Learning Modeler at NVIDIA. He has been working in Machine Learning and Data Science fields for seven years and has experience with real-world FinTech problems. He is a Quadruple Kaggle Grandmaster and is the first person to be ranked in the top 10 in all four Kaggle categories simultaneously. My interests have somewhat evolved over the years. For a while, I was really interested in NLP problems, but that field has become very hard to keep pace with.

These Who's Who reports are created using the Onalytica platform which has a curated database of over 1 million influencers. Our platform allows you to discover, validate and categorise influencers quickly and easily via keyword searches. The lists are made using carefully created Boolean queries which then rank influencers by resonance, relevance, reach and reference, meaning influencers are not only ranked by themselves, but also by how much other influencers are referring to them. The lists are then validated, and filters are used to split the influencers up into the categories that are seen in the report. This Who's Who list should give you an insight into the industry and help break it down. We always want to make sure you are getting the most valuable information available from our lists, so feedback is always welcome! If you want to learn more about Onalytica, or if you'd like to see our platform in action, feel free to get in touch!

Our landscape is transforming quickly. Technologies bring new opportunities and new challenges to overcome, which is why we have focused this report on RPA, Robotic Process Automation. More people are turning to RPA to eliminate repetitive tasks. Companies can reduce costs and streamline results through the technology and valuable time can be spent elsewhere. COVID-19 has forced the world to prioritise digitalisation and RPA has proven to be a saviour during times of uncertainty.

With Artificial Intelligence playing a central role in the era of digital transformation, sharing information and knowledge about the advancements and the opportunities brought by AI is becoming crucial. The influencers presented in this list are actively sharing information and knowledge about AI and disruptive technologies. They are the co-founders of AI ventures, machine learning professors, data scientists, and tech and digital transformation leaders. We want to thank the influencers who took part as evaluation committee members in the TOP 25 Initiative 2018, including Spiros Margaris, Alvin Foo, and Vinod Sharma, and we can officially announce that applications are open to join the evaluation committee of the TOP 25 Initiative 2019. My new book #ArchitectsofIntelligence reveals the truth about #AI from the people building it.

Artificial Intelligence: what is it? How will it impact our lives? How will it be used? Will it actually take over? As the field emerges and becomes more widely discussed, social media's role in shaping public debate answering these questions and more has never been more apparent, with more of us turning to social media for news.

Insight analyst Lizzie Dunmore today published an analysis of Twitter interactions on the topic of AI between the general public, the media, and the 18 most influential AI influencers. Dunmore, who works for Onalytica, looked at a year's worth of tweets from 3,000 influencers and 1,000 news media outlets to figure out who the most influential AI tweeters tweeting on Twitter'twere (that's bad grammar; good poetic license). She also determined what impact their interactions (likes and retweets) had on the top media outlets publishing AI stories. Furthermore, she even revealed whether the media outlets or the individual influencers had more influence on the general public. The Top 50 Media Outlets had a 93x larger reach on average than the Top 50 Influencers yet, despite this, influencers' average engagement per follower on AI posts was 168x higher than that seen for media outlets.

Artificial Intelligence: what is it? How will it impact our lives? How will it be used? Will it actually take over? As the field emerges and becomes more widely discussed, social media's role in shaping public debate answering these questions and more has never been more apparent, with more of us turning to social media for news.

From my perspective, this long way can become easier, on the one hand, with the help of researchers, and on the other hand, with the support of Artificial Influencers (AI) that spread the word and make people and organizations conscious about the Artificial Intelligence's benefits. The idea of artificial intelligence (AI) has been around since the 1950s and typically conjures up images of fully conscious robots. In this article, we list the Top 10 researchers in Artificial Intelligence and Automation. To spread their work and achievements here is a new report, published yesterday by Onalytica – Artificial Intelligence 2017, with Top 100 Influencers, Brands and Publications.