As #AI becomes more commonplace in the enterprise, IT leaders need to consider the ethical implications. We examine how to take a practical approach to ethical AI in the enterprise. https://t.co/oETDJF5sSb #artificialintelligence#enterpriseAI
#Artificialintelligence (AI) vs. natural language processing (NLP): What are the differences? @4enterprisers discusses this branch of #AI in plain terms and looks at the problems it can solve. https://t.co/qEz4iKTzDF #enterpriseAI
#ML augmentation garners far less attention than ML automation. We explore the underlying principles of #machinelearning automation and augmentation and their natural correlation. https://t.co/DkSP0pQ9kj
An introduction to data engineering. Get the answers for the most frequently asked questions about data engineering via @TDataScience. https://t.co/Aiy6KJIGtw #datascience#bigdata#datascientist
#Artificialintelligence is quickly becoming one of the economy’s sharpest competitive edges. Our CEO @ThisIsAlexFly outlines how businesses can create a comprehensive #AI audit successfully. https://t.co/FBz6KKZdlj #enterpriseAI
The rise of regulations like GDPR have launched personal data security into the spotlight, and #artificialintelligence is here to help. @TechRepublic explains why 40% of privacy compliance tech will rely on #AI by 2023. https://t.co/kWRVBNM0cv
Certain companies are expecting returns on their #AI investments to reach 30% in the coming years. We explore five powerful ways enterprises are using #artificialintelligence today. https://t.co/kQZdktxxXF #enterpriseAI
Our CEO @ThisIsAlexFly discusses helping companies adopt and scale the usage of #machinelearning and #AI to optimize and automate their critical customer interactions and business process. Read the full interview in @AiThority to learn more. https://t.co/eIrZVwqQm1
Find out how Quickpath removes barriers to #AI development and makes implementing AI in the enterprise a reality.
https://t.co/0u4x2BW2Oi #enterpriseAI
.@Wharton will introduce its first course on #artificialintelligence in 2021, and it's the first to be fully dedicated to studying #AI in a business context. Learn more about the new course in @dailypenn. https://t.co/MJx7THWwbF #enterpriseAI
#AI deception: when your #artificialintelligence learns to lie. @HMRoff's article in @IEEESpectrum discusses the kinds of deception an #AI agent may learn, and how we can prepare ourselves against it. https://t.co/kAPlTbeYxb
The goal of Explainable #AI (xAI) is to engineer transparency and literal explanations into models, allowing the final outcomes to come armed with context. We explore whether xAI is the next step, or just hype. https://t.co/21q7p7lGST #enterpriseAI
it’s essential to differentiate between artificial general intelligence (AGI) and narrow #AI in order to make informed decisions. Read more on our blog to learn about these two technologies. https://t.co/HXnsmOkGHz #artificialintelligence#enterpriseAI