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10 Top Influencers in AI and ML and why you should follow!

#artificialintelligence

Through social media, anyone can connect and interact with the best minds in the world, learn about new advances in technology, and follow research and processes as they are happening. Interested audiences include teachers, business leaders, scientists, and lay people with an interest in how tech is evolving. As for all fields and industries, social media has created influencers in Machine Learning and AI, spreading the benefits of their expertise to a vast audience that may eventually help bring change through scientific developments and transform the world we live in. We found 10 Great minds and Influencers of Artificial Intelligence and Machine Learning who are helping us discover new things in this massive field of data analysis! Without their expertise, Artificial Intelligence and Machine Learning wouldn't be the same.


Innovation Trailblazers Webinar Mini Series - Digital Transformation 2.0 Acceleration Frameworks - 2021 - Silicon Valley Insurance Accelerator

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This series defines that environment & provides a framework to align current efforts with a 2.0 Future. What are the 2.0 Underwriting Requirements? How are new data sources, machine learning and AI, and RPA automation being used to address them? How does that change digital transformation efforts. One of InsurTech's top influencers, author, speaker and consultant in connected insurance, innovation, transformation and leadership.


Biggest influencers in AI: The top ten individuals to follow

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GlobalData has identified ten of the biggest influencers in AI on Twitter during Q3 2019, using its Influencer Platform. GlobalData research has found the top AI influencers based on their performance and engagement online. Using research from GlobalData's Influencer platform, Verdict has named ten of the most influential people in AI on Twitter during Q3 2019. Ronald van Loon is a Big Data expert and Director at Advertisement, a data and analytics consultancy firm. He helps data-driven companies in executing data and analytics strategies to become more successful.


Innovation Trailblazers Webinar Mini Series - Big Data, Analytics & The Future of Insurance - Silicon Valley Insurance Accelerator

#artificialintelligence

In this Webinar Series leading innovators from Startups, solution providers and insurance business lines share their vision for how data and analytics will shape the future of insurance. This includes the on product and business models, customer engagement, distribution, underwriting and claims. Thought leaders and innovators share their vision and examples of the emerging data sources and data, analytic, AI & Machine Learning models and capabilities and how those will shape the future of insurance within and across business lines. Thought leaders and innovators discuss how the use of data and analytics is enabling the new insurance business models and shifting the insurance paradigm to value added personalized services that help customers better achieve life and business objectives. Thought leaders and innovators discuss the data driven future of customer engagement and distribution and how it will change insurance.


Top Data Science Influencers to Follow in 2020

#artificialintelligence

Social Media and information sharing is something every internet user will know about. The presence and popularity of Twitter, LinkedIn, and many other platforms have made it convenient to spread knowledge all around the globe in a couple of clicks. It is because of the extensive usage of these networking sites by various Thought leaders, achievers, and change-makers that Data Science and AI knowledge has spread across the globe. IPFC online has recently come up with a list of Top 50 Digital influencers to follow out of which we are going to talk about the ones concerned with Machine Learning and AI. Additionally, we have provided some more influencers worth following.


Biggest influencers in AI in May 2020: The top companies and individuals to follow

#artificialintelligence

GlobalData research has found the top artificial intelligence (AI) influencers based on their performance and engagement online. Using research from GlobalData's Influencer platform, Verdict has named ten of the most influential people in artificial intelligence on Twitter during May 2020. Ronald van Loon is a recognised thought leader in technologies including AI, big data, IoT, machine learning, deep learning, 5G, predictive analytics, cloud, edge and data science. He currently serves as principal analyst and CEO of the Intelligent World, an influencer network that connects experts, businesses, and influencers to new audiences, helping them collaborate, create and share diverse content. Loon is of the opinion that AI has progressed at a furious pace over the past few years, and though it has usurped large chunks of the big data, the technology is nowhere near human intelligence.


Influencers in artificial intelligence in Q4 2019: Top companies and individuals to follow

#artificialintelligence

GlobalData research has found the top artificial intelligence influencers based on their performance and engagement online. Using research from GlobalData's Influencer platform, Verdict has named ten of the most influential people in artificial intelligence on Twitter during Q4 2019. Ronald van Loon is a recognised thought leader and one of the leading influencers of technologies including AI, IoT, big data, and data science. As director of Advertisement, now acquired by Digital Power, the influencer provides insights and secures analytics data quality, among other responsibilities. The influencer states that enhanced AI capabilities will allow drones to be controlled with the mind, along with robots eventually overtaking humans.


Top ten IoT influencers in Q3 2019, revealed by GlobalData - GlobalData

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From Ronald van Loon to Sandy Carter, leading data and analytics company GlobalData has identified the top influencers in Internet of Things (IoT) in Q3 2019, based on data research from the company's Influencer platform. Ronald van Loon currently works as the Director at Advertisement and is recognised as a top influencer of disruptive technologies such as IoT, artificial intelligence (AI), and big data. Fabienne Neymarck is a reverse logistic manager at ascendeo France, a consumer electronics company. He provides transport relations to the INNOV8 group and has been involved in the pilotage of service providers, including invoicing, implementation of projects, and providing quality service. Evan Kirstel is a social media influencer who helps clients to leverage social media channels to improve sales and networking.


5 Reasons Why Your CMO Needs Artificial Intelligence Now - Heidi Cohen

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Do you know why your CMO needs artificial intelligence NOW? Because: CMOs must show measurable financial results for the budget they invested! Wonder how AI relates to financial results? I'm not surprised since the answer may not be obvious. With an ever-increasing number of smart devices, apps and methods, consumers have more and more ways to get information and create content digitally. In the process, they create an explosion of data for marketers to track and analyze.


6 Ways Top Influencers Are Implementing AI and Machine Learning to Grow Their Followers

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With over 31.25 million Facebook posts per minute, 6000 tweets per second and 95 million Instagram posts every day, it's genuinely commendable how top social media influencers can work their way through big data analytics and present relevant and timely content to their respective industries. Whether they focus on tech, fashion, fitness, business or beauty, influencers are continually learning and improving to stay ahead of their competition. With sufficient exposure to AI and machine learning solutions created to help social media marketing, you can also increase your social media conversion rates. John McCarthy, one of the early pioneers in the field of AI, defined artificial intelligence as "the science of making machines that can perform tasks that are characteristic of human intelligence." These tasks may include understanding language, translating content between languages, recognizing elements in images and speech or making decisions.